CONTEMPORARY ISSUES IN DEVELOPMENT FINANCE Contemporary Issues in Development Finance provides comprehensive and up-to-date coverage of theoretical and policy issues in development fnance from both the domestic and the external fnance perspectives and emphasizes addressing the gaps in fnancial markets. The chapters cover topical issues such as microfnance, private sector fnancing, aid, FDI, remittances, sovereign wealth, trade fnance, and the sectoral fnancing of agricultural and infrastructural projects. Readers will acquire both breadth and depth of knowledge in critical and contemporary issues in development fnance from a philosophical and yet pragmatic development impact approach. The text ensures this by carefully integrating the relevant theoretical underpinnings, empirical assessments, and practical policy issues into its analysis. The work is designed to be fully accessible to practitioners with only a limited theoretical economic background, allowing them to deeply engage with the book as useful reference material. Readers may fnd more advanced information and technical details provided in clear, concise boxes throughout the text. Finally, each chapter is fully supported by a set of review questions and by cases and examples from developing countries, particularly those in Africa. This book is a valuable resource for both development fnance researchers and students taking courses in development fnance, development economics, international fnance, fnancial development policy, and economic policy management. Practitioners will fnd the development impact, policy, and conceptual analysis dimensions insightful analysing and designing intervention strategies. Joshua Yindenaba Abor is a Professor of Finance at the Department of Finance, University of Ghana Business School, Ghana. He is also a Visiting Professor of Development Finance at the University of Stellenbosch Business School, South Africa. He has made signifcant contributions to fnancial economics literature, mainly in the areas of banking and fnance, development fnance, fnancial market development, corporate fnance and governance, international fnancial fows, and growth. Charles Komla Delali Adjasi is a Professor of Development Finance and Economics at the University of Stellenbosch Business School, South Africa. He is also a Visiting Professor at the Department of Economics, Econometrics and Finance, University of Groningen, the Netherlands. His research focuses on fnancial markets development, frm productivity, international trade, and household welfare. Robert Lensink is a Professor of Finance and Financial Markets at the Department of Economics, Econometrics and Finance, University of Groningen, the Netherlands. He is also a Professor of Finance and Development at the Development Economics Group, Wageningen University & Research, and has published widely in the area of development fnance. “This book provides an excellent overview of the challenges of fnancial sector development in developing countries. The different chapters touch on all the relevant dimensions, including international capital fows, microfnance and fnancial inclusion. An important contribution to our feld!” – Thorsten Beck, Professor of Banking and Finance, The Business School (formerly Cass), University of London, UK “An abundance of literature exists in development fnance, but this book will be an important ‘one-stop shop’ for researchers, teachers, and policy makers. It is thematic and coherent. The underpinning is on contemporary theories and empirics linking fnance and development with emphasis on inclusive development. This is because fnancial sector development alone does not ensure inclusive fnance that is vital for inclusive development. The fnancial instruments considered are also wide ranging; so are the players who can help bridge the fnancial development gap.” – Lemma Senbet, The William E. Mayer Chair Professor of Finance, University of Maryland, USA; Immediate Past Executive Director/CEO, African Economic Research Consortium CONTEMPORARY ISSUES IN DEVELOPMENT FINANCE Edited by Joshua Yindenaba Abor, Charles Komla Delali Adjasi and Robert Lensink First published 2021 by Routledge 2 Park Square, Milton Park, Abingdon, Oxon OX14 4RN and by Routledge 52 Vanderbilt Avenue, New York, NY 10017 Routledge is an imprint of the Taylor & Francis Group, an informa business © 2021 selection and editorial matter, Joshua Yindenaba Abor, Charles Komla Delali Adjasi and Robert Lensink; individual chapters, the contributors The right of Joshua Yindenaba Abor, Charles Komla Delali Adjasi and Robert Lensink to be identifed as the authors of the editorial material, and of the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. All rights reserved. No part of this book may be reprinted or reproduced or utilised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identifcation and explanation without intent to infringe. British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library Library of Congress Cataloging-in-Publication Data A catalog record for this book has been requested ISBN: 978-1-138-32431-2 (hbk) ISBN: 978-1-138-32432-9 (pbk) ISBN: 978-0-429-45095-2 (ebk) Typeset in Palatino by Apex CoVantage, LLC CONTENTS List of fgures vii List of tables ix List of contributors xi Acknowledgements xv Chapter 1 Introduction to contemporary issues in development fnance 1 Joshua Yindenaba abor, Charles Komla delali adJasi, and robert lensinK Chapter 2 Finance, economic growth, and development 20 lordina amoah, Charles Komla delali adJasi, issouf soumare, Kofi aChampong osei, Joshua Yindenaba abor, ebenezer bugri anarfo, Charles amo-YarteY, and isaaC otChere Chapter 3 Microfnance and development niels hermes and robert lensinK Chapter 4 Private capital fows and economic growth 73 eliKplimi Komla agbloYor, alfred Yawson, and pieter opperman Chapter 5 Remittances and development 104 hanna fromell, tobias grohmann, and robert lensinK Chapter 6 Foreign aid and economic development 140 matthew Kofi oCran, bernardin senadza, and eriC osei-assibeY Chapter 7 Global fnancial architecture: emerging issues and agenda for reforms 169 Joshua Yindenaba abor, angela azumah alu, david mathuva, and Joe nellis Chapter 8 Sovereign wealth management 207 mbaKo mbo and Charles Komla delali adJasi Chapter 9 Sovereign debt management 235 amin Karimu, vera fiador, and imhotep paul alagidede 51 Chapter 10 Financial inclusion and economic growth Joshua Yindenaba abor, haruna issahaKu, mohammed amidu, and viCtor murinde 263 vi Contents Chapter 11 Financing agriculture for inclusive development 287 haruna issahaKu, edward asiedu, paul Kwame nKegbe, and robert osei Chapter 12 Financing sustainable development: new insights for the present and the future 318 gordon abeKah-nKrumah, patriCK o. assuming, patienCe aseweh abor, and Jabir ibrahim mohammed Chapter 13 International trade, fnance, and development steven braKman and Charles van marrewiJK 351 Chapter 14 Infrastructure fnancing and economic development saint Kuttu, ashenafi fanta, miChael graham, and Joshua Yindenaba abor Chapter 15 Finance and economic development: the role of the private sector 411 eliKplimi Komla agbloYor, Joshua Yindenaba abor, haruna issahaKu, and Charles Komla delali adJasi Index 435 385 FIGURES 1.1 2.1 2.2 3.1 4.1 4.2 4.3 4.4 4.5 5.1 5.2 5.3 6.1 6.2 6.3 6.4 7.1 7.2 8.1 8.2 8.3 8.4 8.5 8.6 8.7 8.8 8.9 8.10 8.11 8.12 8.13 9.1 Credit rationing and its implications Domestic credit by banking sector (% GDP) across income groups Domestic credit by banking sector (% GDP) by regional classifcation Microfnance services Trends in private capital fows to Africa, 2000–2016 Scatter plot between capital fows and GDP per capita, 2000–2016 Scatter plot between capital fows and CO2 emissions, 2000–2016 Scatter plot between capital fows and institutions, 2000–2016 Scatter plot between capital fows and natural resource rents, 2000–2016 Capital infows to low- and middle-income countries, in billions USD Received remittances by country-level income group, in billions current USD Remittances in percentage of GDP by country-level income group Total volume of ODA in constant 2015 prices, 1960–2016 Sub-Saharan Africa’s share of ODA, 2005–2015 The aid Laffer curve Global 2017 CPI score and ranking Representation of Article 1 of the IMF Benefts and risks of fnancial globalisation A conceptual framework for SWF Evolution of SWF over time Cumulative growth in the number of funds, 1953–2017 SWF by source of seed capital Evolution of SWFs in Asia (pre-2007/2008 fnancial crisis) Trends in the Middle East: oil prices and production Evolution of SWFs in the Middle East (pre-2007/2008 fnancial crisis) Evolution of SWFs in Africa (pre-2007/2008 fnancial crisis) Evolution of SWFs in other parts of the world (pre-2007/2008 fnancial crisis) Evolution of SWFs: the aftermath of the 2007/2008 global fnancial crisis Evolution of SWFs post-2007/2008 global fnancial crisis A typical sovereign balance sheet Components of the Santiago SWF principles Debt Laffer curve 7 33 34 55 75 78 79 86 89 105 106 107 147 148 156 160 172 194 209 210 210 212 213 214 214 215 215 216 217 224 231 241 viii 9.2 11.1 11.2 11.3 11.4 11.5 13.1 13.2 13.3 13.4 13.5 13.6 13.7 13.8 13.9 13.10 13.11 13.12 13.13 13.14 13.15 13.16 13.17 14.1 15.1 15.2 Figures Scatter plot with a ftted line Agriculture value added per worker, constant 2010 USD Agriculture value added per worker, constant 2000 USD Employment shares by sector (% in total employment) Share of FDI to agriculture in total FDI (%), 2011 Share of agriculture credit in total credit, 2015 Swiss franc, Canadian dollar, and South African rand; daily data, 2000–2020 Real effective exchange rate and nominal exchange rate; China, 1990–2020 British pound to euro spot and three-month forward exchange rates, 2016 British pound to euro spot rate and three-month forward premium, 2009–2016 Two investment options Assumptions, interest parity, and market effciency Argentina: interest rates, growth, and infation; percent, 1994–2018 Argentina reference interest rate; 7-Day Leliq Rate, 2016–2020 The policy trilemma Overview of international monetary regimes Spider web spiral: world imports in millions US gold dollar, 1929–1933 De facto exchange rate arrangements; 30 April 2014 Proposed and rejected trade fnance transactions; by region (%), 2017 Proposed and rejected trade fnance transactions; by frm size (%), 2017 Why trade fnance proposals were rejected; % of applications, 2019 Outcome of efforts to seek alternative trade fnancing; SMEs (%), 2019 Distribution of FDI; advanced, developing, and transition countries, 1975–2014 Number of PPP projects undertaken in South Africa between 1993 and 2017 Top recipients of FDI fows in Africa (billions of dollars), 2014–2015 Remittances dependent countries in SSA, 2017 242 291 291 292 295 296 354 355 357 358 359 362 363 363 365 366 368 372 373 374 374 375 378 402 425 426 TABLES 2.1 2.2 4.1 7.1 7.2 10.1 11.1 11.2 11.3 A13.1 12.1 12.2 12.3 12.4 13.1 13.2 13.3 13.4 13.5 13.6 14.1 15.1 Stock markets in sub-Saharan Africa Average financial structures of high-income vs low-income countries, 2015 Private capital fows to Africa in 2016: best and worst performers Overview of RDBs Financial products and services addressing the SDGs Trends in fnancial inclusion: SSA and World Contribution of agriculture to GDP (%) Agricultural raw materials exports (% of merchandise exports) Commodity exchanges in Africa Agriculture value added per worker (constant 2010 USD) MDGs and SDGs Differences between SDGs and MDGs Percentage contribution of different health fnancing sources to current health expenditure in 2015 Trends in DAH from 2008 to 2017 in billions USD and component contributions in percentages Some international currency symbols Spot exchange rates on 3 December 2019 at 11:55:00 a.m. (UTC + 01:00) Cross-exchange rates; spot, 3 December 2019 at 11:55:00 a.m. (UTC + 01:00) The policy trilemma and the international economic order IMF exchange rate classifcation system Functions of international currencies Financing structure Africa-focused private equity (PE) capital raised in the past ten years by domestic manager location 37 39 102 187 204 267 289 294 305 317 323 324 342 345 352 352 355 370 371 376 396 421 CONTRIBUTORS Gordon Abekah-Nkrumah is a senior lecturer in the Department of Public Administration and Health Services Management, University of Ghana Business School, Ghana. Joshua Yindenaba Abor is a professor of fnance at the Department of Finance, University of Ghana Business School, Ghana. He is also a visiting professor of development fnance at the University of Stellenbosch Business School, South Africa. Patience Aseweh Abor is a senior lecturer in the Department of Public Administration and Health Services Management, University of Ghana Business School, Ghana. Charles Komla Delali Adjasi is a professor of development fnance and economics at University of Stellenbosch Business School, South Africa. He is also a visiting professor at the Department of Economics, Econometrics and Finance, University of Groningen, the Netherlands. Elikplimi Komla Agbloyor is a senior lecturer in fnance at the Department of Finance, University of Ghana Business School, Ghana. Imhotep Paul Alagidede is a professor of fnance at Wits Business School, University of the Witwatersrand, Johannesburg, South Africa. Angela Azumah Alu is a doctoral researcher in fnance at the Department of Finance, University of Ghana Business School, Ghana. Mohammed Amidu is an associate professor of accounting and fnance at the Department of Accounting, University of Ghana Business School, Ghana. Charles Amo-Yartey is a senior economist in the African Department of the International Monetary Fund, Washington, DC, USA. He was previously the IMF resident representative in Liberia. Lordina Amoah is a lecturer at the Department of Finance, University of Ghana Business School, Ghana. Ebenezer Bugri Anarfo is a senior lecturer at the Ghana Institute of Management and Public Administration, Ghana. Edward Asiedu is a lecturer at the Department of Finance, University of Ghana Business School, Ghana, and an affliate research fellow chair of development economics, University of Passau, Germany. Patrick O. Assuming is a senior lecturer in economics at the Department of Finance, University of Ghana Business School, Ghana. Steven Brakman is a professor of international economics at University of Groningen, the Netherlands. xii Contributors Ashenaf Fanta is a senior lecturer in development fnance at University of Stellenbosch Business School, South Africa. Vera Fiador is a senior lecturer in fnance at the Department of Finance, University of Ghana Business School, Ghana. Hanna Fromell is an assistant professor of fnance at the Department of Economics, Econometrics and Finance, University of Groningen, the Netherlands. Michael Graham is a professor of corporate fnance and the head of development fnance programmes at University of Stellenbosch Business School, South Africa. Tobias Grohmann is a doctoral researcher at the Department of Economics, Econometrics and Finance, University of Groningen, the Netherlands. Niels Hermes is a professor of fnance and the chair of Department of Economics, Econometrics and Finance at the University of Groningen, the Netherlands. Haruna Issahaku is a senior lecturer in economics and fnance and the head of the Department of Economics and Entrepreneurship, University for Development Studies, Tamale, Ghana. Amin Karimu is a lecturer at the University of Ghana Business School and a researcher at the Centre for Environmental and Resource Economics (CERE), Sweden. Saint Kuttu is a senior lecturer in fnance and risk management at the Department of Finance, University of Ghana Business School, Ghana. Robert Lensink is a professor of fnance and fnancial markets at the Department of Economics, Econometrics and Finance, University of Groningen, the Netherlands. He is also a professor of fnance and development at the Development Economics Group, Wageningen University & Research. David Mathuva is a senior lecturer, the director of the undergraduate programmes, and the academic director of the master of science in development fnance programme at Strathmore University Business School, Kenya. Mbako Mbo is a fnance practitioner specializing in development fnance institutions and a chief fnancial offcer, Botswana Development Corporation, Botswana. Jabir Ibrahim Mohammed is a doctoral researcher in fnance at the Department of Finance, University of Ghana Business School, Ghana, and a fellow at PFM-Tax NetWork Africa. Victor Murinde is an AXA professor in global fnance and the head of the School of Finance and Management at SOAS University of London, UK. Joe Nellis is a deputy dean and a professor of global economy, School of Management, Cranfeld University, UK. Contributors xiii Paul Kwame Nkegbe is an associate professor of applied and agricultural economics and the dean of the Faculty of Integrated Development Studies, University for Development Studies, Tamale, Ghana. Matthew Kof Ocran is a professor of economics and deputy dean of the faculty of economic and management sciences, University of the Western Cape, Cape Town, South Africa. Pieter Opperman is a lecturer in development fnance at the University of Stellenbosch Business School, South Africa. Eric Osei-Assibey is an associate professor of economics at the Department of Economics, University of Ghana, Ghana. Kof Achampong Osei is an associate professor of fnance at the Department of Finance, University of Ghana Business School, Ghana. Robert Osei is an associate professor of economics at the Institute of Statistical, Social and Economic Research (ISSER), University of Ghana, Legon, Ghana, and also the vice dean of the School of Graduate Studies at the University of Ghana. Isaac Otchere is a professor of fnance at the Sprott School of Business, Carleton University, Ottawa, Canada. Bernardin Senadza is an associate professor of economics at the Department of Economics, University of Ghana, Ghana. Issouf Soumare is a professor of fnance and the director of the Laboratory for Financial Engineering at Laval University, Canada. Charles van Marrewijk is a professor of international economics at the Utrecht University School of Economics, the Netherlands. Alfred Yawson is a professor in corporate fnance at the University of Adelaide Business School, Australia. ACKNOWLEDGEMENTS JOSHUA YINDENABA ABOR To my wife, Pat and our children, Ivana, Bastien and Venka for their love, support and encouragement. Also, to my parents, Abor Ndobire and Amina Tobga for their inspiration. I really appreciate my colleague co-editors Charles and Robert for the great and exceptional work in executing this book project. I actually enjoyed collaborating with them. I wish to specially thank Lordina, Issouf, Kof, Ebenezer, Charles, Isaac, Angela, David, Joe, Haruna, Mohammed, Victor, Saint, Ashenaf, Michael and Elikplimi for coauthoring some of the chapters with me. CHARLES KOMLA DELALI ADJASI To my wife Chewe Sakha Adjasi and our boys Delali and Dalitso for their love, support, encouragement and for tolerating Daddy’s endless late nights. To my father W.O. K. Adjasi and my late mother D.A.M. Buachie (Auntie Mansah) for your blessings. I would like to thank my co-editors Joshua Yindenaba Abor and Robert Lensink for the sterling initiatives and collaborative effort in getting this book project completed. I also thank in particular Robert Lensink, Niels Hermes and Grietje Pol and the colleagues of the Department of Economics, Econometrics and Finance, University of Groningen for the wonderful accommodation during my sabbatical. ROBERT LENSINK To my lovely daughter Myrthe. I became involved in co-editing this book during the sabbatical of Charles at the University of Groningen. I am very grateful to him and Joshua that they invited me to join the team, and look forward to new joint projects in the future. I wish to express special thanks to Hanna Fromell, Tobias Grohmann and Niels Hermes for co-authoring two chapters with me. GENERAL The editors would like to take the opportunity to thank all contributing authors for the high quality of their chapters. A big thank you to Eva Spek for the meticulous and excellent language and technical editing. We also would like to thank our reviewers for each chapter. CHAPTER 1 Introduction to contemporary issues in development fnance Joshua Yindenaba Abor, Charles Komla Delali Adjasi and Robert Lensink 1.1 INTRODUCTION The importance of fnance in the economic growth and development process cannot be overemphasised. The literature is replete with evidence that suggests that fnance contributes signifcantly to the economic growth and development process in any county. Although the extant literature generally supports the fact that fnance and, for that matter, the fnancial sector are necessary for spurring economic growth by mobilising savings for investments, some have argued in recent times that it can also be a cause of fragility (where regulation is ineffective), as witnessed during the global fnancial crisis, the eurozone crisis, and the banking crises observed in certain economies. When the fnancial sector does not function properly, opportunities for growth and development are lost, resulting in inequalities and in some cases crises. However, when the fnancial sector functions effciently, it provides the avenues for market players to take advantage of investment opportunities by channelling funds for production, thus driving economic growth and development. Discussions in the fnance and growth literature thus focused on the level of fnancial sector development. This was also in line with the view that the fnance–growth link is stronger in well-developed fnancial systems and led to substantial dialogue around the depth, size, effciency, and outreach of the fnancial sector. The type and the structure of the fnancial system in particular, whether bank based or market based, also became important points of debate in the fnance–growth nexus. By the mid 2000s, however, the discussion moved to fnancial inclusion and emphasised access to fnancial services by the low income. The development of mobile money as a way to increase access further boosted this literature on fnancial inclusion. Financial inclusion soon became a prominent part of growth-enhancing strategies of countries and international fnance institutions. Here the main difference between fnancial inclusion and fnancial sector development is that the former concentrates issues of access and use of fnancial services for 2 Joshua Yindenaba Abor et al. the unbanked, while the latter deals with the development of the fnancial sector in general. Indeed, this difference becomes hazy because both can mean the same from a measurement point of view. Economic growth has to do with the increase in the productive capacity of an economy in a year in relation to the previous year as measured by real gross domestic product (GDP). Economic development is also concerned with the process of creating and utilising physical, fnancial, human, and social assets to improve the economic well-being and quality of life of people in a community, region, or country. Whereas economic growth is a phenomenon of market productivity and an increase in nominal or real GDP, economic development is associated mainly with the economic and social well-being of people in a community, region, or country. The economic development efforts of countries must be sustained over time in order to produce positive economic and social outcomes. In the view of Seidman (2005), the economic development process creates assets that enable the community, region, or country to sustain and recreate its desired economic and community outcomes. Unsurprisingly, the discussions in literature also moved to incorporate the need for inclusive growth. The emphasis was on the idea that growth must be benefcial to all and in particular for poverty reduction to be effective. Amid all of this has been the ever-constant debates around issues of causality: whether fnance causes economies to grow, whether it is instead growing economies that result in higher fnancial development, and whether causality goes both ways and depends on stages of a country’s development. There is also the vibrant debate on whether fnancial development can lift the welfare of poor households. These discussions, however, do not question the fact that fnancing economic growth and development, especially in developing and emerging countries through the mobilisation of domestic resource as well as an appropriate level of external capital infows, is an important issue. However, a fnancing gap develops when the fnancial system is ineffcient and ineffective and when governments are also unable to mobilise resources. Precisely, development fnance focuses on how domestic and the global fnancial systems facilitate the economic growth and development process. It also deals with structuring and reforming the fnancial system in ways that promote growth and development at both the macro level and the micro level in developing and emerging economies. At the macro level, the focus is on fnancing the design and implementation of national development strategy, which is critical to the realisation of the country’s development goals. Achieving country-specifc development goals may also be related to the global development agenda. With respect to global development, the present emphasis is on how to fnance the sustainable development goals (SDGs), which were set by the United Nations (UN) with a 2030 timeline (Biekpe, Cassimon, & Verbeke, 2017). The SDGs, otherwise known as the global goals, include 17 specifc goals, which build on the progress made with respect to the millennium development goals (MDGs) and incorporate additional goals. Some of these new goals include reducing inequity, ensuring sustainable consumption and production patterns, Chapter 1 • Introduction to contemporary issues in development fnance 3 combatting climate change and its impact, promoting peaceful and inclusive societies, and providing justice, among others. Also, at the micro level, the concentration is on how individual households, local communities, and frms are able to access the necessary fnance to support their growth and development aspirations. However, a certain fnancing gap tends to constrain the achievement of these development targets – hence the need to design the fnancial system to be able to support the growth and development process. 1.2 PURPOSE OF THIS BOOK This book examines issues in development fnance by focusing on how fnancial systems and innovations in fnancial resource fow can drive the economic growth and development process. This emerging discipline seems to be gaining widespread recognition and importance across the globe and in Africa in particular. The literature on development fnance is enormous. However, no recent text is available that covers the wide range of the literature in this area. The main contribution of this book is that it provides comprehensive coverage of the various critical and contemporary issues in development fnance by carefully integrating relevant theoretical underpinnings, empirical assessments, and practical policy issues. With the expansion of economic development initiatives across the globe comes an urgent need for expertise and skills in development fnance to drive, support, and manage them. The book tries to be as complete and up to date as possible regarding recent theoretical discussions in the broad feld of development fnance. Therefore, the book provides a valuable resource for development fnance researchers and for students taking courses in, for example, development fnance, fnance for development, development economics, international fnance, fnancial development policy, and economic policy management. Every chapter contains a set of review questions, which may be helpful for students to better absorb the information provided. Given that we deliberately avoid overly technical discussions in the main text – more technical details are provided in ‘boxes’ – also practitioners with only a limited theoretical economic background will fnd the book a useful reference. This frst introductory chapter provides an overview of the other chapters in the book. In different chapters, the book pays attention to the general theoretical and empirical discussion on the relationship between fnancial development and economic growth; the importance of microfnance; the role of different types of external capital fows, distinguishing between external private fows, foreign aid, and international remittance; the importance of international fnancial architecture; the role of sovereign debt and wealth management; the role of fnancing different sectors in the economy, such as medium-size enterprises, infrastructure, the agricultural sector, and the external sector; and the recent discussion on fnancial inclusion and economic growth, including issues like mobile money transfers. However, because development fnance emerged as a result of market imperfection and limited capital available, this chapter starts by discussing 4 Joshua Yindenaba Abor et al. market imperfections and development fnance. It also examines development fnance interventions aimed at minimising the market imperfections and establishing development fnance institutions to provide direct fnancing in the market. Finally, the chapter briefy discusses recent developments regarding fnancial inclusion and fntech. 1.3 MARKET IMPERFECTIONS AND DEVELOPMENT FINANCE Development fnance recognises the need to fll the gaps between capital required and capital available through various interventions. The fnancing gap is a result of fnancial market imperfections or the failure of fnancial markets to provide the requisite fnance to support economic activity. Development fnance interventions are aimed at ensuring the availability of capital when fnancial markets fail to supply the needed capital. These interventions include trying to curtail the imperfections in fnancial markets and institutions in order to improve the level of effciency and establishing alternative development fnance institutions to provide direct capital in the market. At this stage, we bring up and discuss the concept of fnancial market imperfections. Financial market imperfection is concerned with the failure of fnancial markets to supply the required capital to fnance economic activity. Market imperfections or fnancial market gaps occur when capital is not allocated in the most productive manner. Microeconomic theory suggests that in perfect capital markets, capital is allocated perfectly, under the assumptions of complete markets, the perfect rationality of agents, and perfect or full information. Under these conditions, equilibrium is established when the interest rates clear the market when the supply of capital is equal to the demand for capital. However, when these assumptions are not present, market imperfections tend to occur. In the absence of perfect competition, suppliers of capital may seek to determine their own terms and may not be mindful of ensuring effcient allocation of capital. The high transaction costs and lack of information are a direct consequence of market imperfections. Transaction costs are the costs of using the price mechanism, which include the cost associated with discovering relevant prices and the cost of negotiating and concluding contracts (Coase, 1937). In the fnancial market, fnancial institutions play an important role in contributing to reducing transaction costs. Minimising transaction costs is regarded as a necessary condition but not a suffcient condition for improving fnancial and economic effciency. We now discuss how asymmetric information explains fnancial market imperfections. We also look at how imperfection in fnancial markets results in credit rationing. 1.3.1 Asymmetric information A key feature of fnancial markets that results in market imperfection is asymmetric information1 between users of fnance and providers of fnance. The application of asymmetric information to explain fnancial market Chapter 1 • Introduction to contemporary issues in development fnance 5 incompleteness, imperfections, and credit constraint is attributed to the work of Joseph Stiglitz in the 1980s. The problem of asymmetric information or information asymmetry arises because borrowers and providers of fnance do not have equal access to information regarding the creditworthiness of the potential borrower. In more general terms, asymmetric information, sometimes referred to as information failure, describes a situation where one party to an economic transaction has better access to information than the other party does, resulting in an imbalance of power in transactions, which may cause the transaction to be skewed. The information-defcient party might make a different decision provided the information being withheld was made available. Asymmetric information may result in adverse selection and moral hazard. Adverse selection occurs when the lack of information in the fnancial market puts the lender in a position of being unable to distinguish good borrowers from bad ones. It occurs ex ante: before the lender provides a loan, or debt, contract to the borrower, on the basis of available information by the time of the event. It happens when the lender does not have the necessary tools to screen the borrower types and is thus unable to ascertain whether the borrower engages in riskier projects. For risky borrowers, there is a higher probability that projects will fail than for safe borrowers. However, if the project succeeds, the return will be higher for risky borrowers. In this situation, risky borrowers are likely willing to pay a higher interest rate than safe borrowers are. The consequence is that in case the bank increases the interest rate, safe borrowers decide not to borrow anymore, such that the bank ends up with a portfolio of only risky borrowers, a process indicated by the term ‘adverse selection’. The bank does not know who the risky borrower or the safe borrower is but realizes that an increase in interest rates may have ‘adverse selection’ effects. To avoid this, the bank may decide in times of access demand for credit not to increase the interest rate but simply to ration credit. Box 1.1 provides further discussion on credit rationing and its implications. Stiglitz and Weiss (1981) explain that the adverse selection theory of credit markets is based on two key assumptions: lenders are not able to differentiate between borrowers with different levels of risk, and the loan contracts are subject to limited liability in the sense that in the event that the project generates returns lesser than the debt obligations, the borrowers will not be responsible for paying out of pocket. The consequence of adverse selection is that fnancial markets are not effcient, in that good projects will not be funded, while bad projects will be selected. ADVERSE SELECTION Moral hazard results from the lack of information regarding the ex post behaviour of borrowers – that is, the behaviour of borrowers after a debt contract has been signed with a bank. In more general terms, moral hazard occurs when after entering into a contract, the incentives of the two parties involved change, to the extent that the risk associated with the contract is altered (Heffernan, 2006). It refers to the borrower’s engaging in high-risk strategies and applying the funds acquired for a purpose MORAL HAZARD 6 Joshua Yindenaba Abor et al. different from that for which they were sourced. After acquiring loans, borrowers may undertake risky projects, since they are not fully responsible for the funds, and the inability of the lender to control how the borrower applies the funds may lead to moral hazard. With increases in interest rates, the borrower is likely to be involved in such risky projects so as to increase the expected returns, and if the project is successful, the borrower gains, but if it fails, the lender assumes the default risk. The default risk is one of the conditions of an imperfect market. The borrower may be in fnancial distress or become bankrupt, thus being unable to fulfl their indebtedness. Therefore, the promise and level of commitment by the borrower plays a signifcant role in the lending arrangement. One way by which the lender can secure the loan is to request the borrower to pledge collateral. Ray, Ghosh, and Mookherjee (2000) suggest that collateral minimises the default risk (for incentive reasons) and the lender’s exposure in the event of default. In terms of reducing the default risk, the collateral makes the borrower’s expected return of selecting risky projects lower than the expected return of safer projects. Thus, the borrower has no incentive for choosing risky projects. In the case reducing the lender’s exposure, the loan contract is structured in such a way that the collateral provides the means by which the lender is able to recover all or substantial part of the loan given out in the event of default. There are, however, costs associated with the lender’s seizing the pledged assets in the event of default. BOX 1.1 Credit rationing and its implications The concept of credit rationing has developed following the seminal papers by Jaffe and Russell (1976) and Stiglitz and Weiss (1981) and can be depicted by the market for supply and demand of loans. An interest rate r* maximizes the expected return to the bank. Excess demand can exist at this interest rate but not induce banks to increase the interest rate above r*. Under such conditions, banks cut the supply of loans (backwards-bending supply), at interest rates above r* where demand DL exceeds the supply of funds (SL). Unsatisfed borrowers bid up the interest rate until rm, which marks the beginning of credit rationing. Some individuals can acquire loans, albeit at a higher interest rate, while others cannot. However, hiking the interest rate or reducing the collateral requirement could increase the riskiness of the lender or loan portfolio of the bank, either by discouraging safer investments or by encouraging borrowers to undertake riskier investment projects, thus reducing the lender’s profts. The implication is to reduce the number of loans that the lender provides. In an extreme case, the backwards-bending supply curve touches the interest rate (vertical) axis, and there is full rationing and total exclusion for some large portion of individuals and entities. Chapter 1 • Introduction to contemporary issues in development fnance 7 FIGURE 1.1 Credit rationing and its implications ˜ Credit rationing is a result of capital market imperfections, which are characterised by information asymmetry and its consequent adverse selection and moral hazard. Keeton (1979), Stiglitz and Weiss (1981), and Jaffe and Stiglitz (1990) provide specifc defnitions of two types of credit rationing: Type 1. Pure credit rationing happens when some individuals acquire loans, while apparently identical individuals, who are ready to borrow on exactly the same terms, are not able. Type 2. Redlining arises when some identifable groups of individuals, given a particular supply of credit, are not able to acquire loans at any interest rate, but given a larger supply of credit, they would. 1.4 DEVELOPMENT FINANCE INTERVENTIONS We mentioned that development fnance plays an important role in expanding capital availability to fnance economic growth and development, and these include, frst, minimising the imperfections in fnancial markets and institutions in order to improve on the level of effciency and, second, establishing alternative fnancial institutions or development fnance institutions to provide direct capital in the market. These two forms of interventions need to be regarded as complementary and should be used in ways that achieve the objectives of development fnance. Next, we discuss each of these interventions or strategies. 8 Joshua Yindenaba Abor et al. 1.4.1 Interventions for correcting market imperfections These are concerned with reducing the main sources of ineffciencies that introduce gaps in the required and available fnance. Interventions for perfecting the fnancial market include measures that aim at improving the performance and functioning of the fnancial market and institutions in ways that enhance available fnancing for development. This is crucial given the important role fnancial markets and institutions play in facilitating the supply of funds for fnancing economic activities. The following are some of the interventions aimed at improving the operation and performance of the fnancial markets and institutions: • Ensuring effective fnancial market regulation – the regulation of fnancial markets is necessary given their complex nature and importance in the economies they operate in. The regulation of the fnancial market ensures market participants are treated fairly and has implications for the performance of various fnancial institutions. The essence of regulating fnancial markets include protecting investors, preventing securities issuers from defrauding investors and hiding important information, promoting the stability of fnancial institutions, promoting competition and fairness in the trading of fnancial securities, restricting the level of activities of foreign entities in local markets and institutions, and controlling the level of economic activity. • Introducing risk management instruments – this includes the means by which market players share their risk with counterparties. It may involve the use of insurance contracts and fnancial derivatives such as forwards, futures, options, swaps, and swaptions. • Reducing cost of contracting and information processing – fnancial institutions handle huge volumes of transactions and tend to enjoy economies of scale related to contracting and processing information on securities. The low costs associated with contracting and processing would beneft investors and issuers of securities. Also, the ability of fnancial institutions to obtain information concerning potential borrowers and screening out bad credit risks helps in dealing with the problems in connection with adverse selection and moral hazards. • Providing effcient payment system – providing for payment mechanisms like cheques, electronic transfers of funds, debit cards, and credit cards enables fnancial institutions to transform certain types of assets (i.e. those that could not be used in making payments) into other forms of assets that can be used to effect payment. The fnancial market provides the means of making payments without using physical cash, and this is necessary for the effective and effcient functioning of the market. • Introducing fnancial innovation – attempts to reduce market imperfection also involve introducing fnancial innovation to improve on the level of effciency in the fnancial market. Financial innovation entails the development of new fnancial products or services; the introduction of new processes or delivery systems that result in reducing costs and risks or providing enhanced services to meet the needs Chapter 1 • Introduction to contemporary issues in development fnance 9 of market participants; and the emergence of new kinds of fnancial service providers. The fnancial innovation process involves changes in fnancial instruments, institutions, markets, and practices. More generally, fnancial innovation tends to affect the nature and composition of monetary aggregates by introducing new fnancial instruments or changing existing fnancial instruments. Financial innovations result in reducing the transaction cost associated with transferring funds from lower-yielding money instruments to higher-yielding ones. Thus, participants in the fnancial system are able to minimise their risk and maximise their returns. 1.4.2 Establishing development fnance institutions Development fnance institutions (DFIs) are alternative fnancial institutions that are concerned with providing long-term fnance (e.g. long-term loans, equity, and risk guarantee instruments) to promote private investment for economic growth and sustainable development while ensuring they remain fnancially viable. They concentrate mainly on areas that providers of conventional fnance tend to avoid and on markets, which have limited access to sources of domestic and external capital. DFIs are said to occupy the intermediary space between public aid and private investment by focusing on high-risk investments in sectors that have limited access to capital markets. They are capable of raising huge amounts of capital from the global capital markets for providing loans or equity investment on commercial and sometimes-concessional bases (Dickinson, n.d.; Abor, 2017). There are multilateral, regional, and bilateral or country-specifc DFIs (see Box 1.2). BOX 1.2 Types of DFIs Multilateral DFIs include private sector outfts of international fnancial institutions (IFIs), which are founded by a number of countries and are subject to international law. They are generally owned by national governments but sometimes with ownership participation by international or private entities. They tend to have stronger fnancing capacity and provide the opportunity for close cooperation between governments. The regional DFIs are essentially part of multilateral DFIs, but they tend to focus on specifc regions and are owned by the governments of those regions. Bilateral or country-specifc DFIs operate mainly in developing and emerging economies and have the mandate of providing longterm capital to fnance the private sector, with particular value-added development objectives on a sustainable commercial basis. Bilateral DFIs may also include microfnance institutions, state development banks, community development fnance institutions, microenterprise funds, and revolving loan fundts. 10 Joshua Yindenaba Abor et al. The traditional role of DFIs is to help address the failure or imperfections in fnancial markets. In the view of Dixit and Pindyck (1994), uncertainty signifcantly and negatively affects investment, which entails large sunk and irreversible costs and, where there is a choice, delaying the investment decision until additional information becomes available. The risks associated with such long-term investments tend to discourage private sector investors. DFI assist in correcting risk perceptions, promoting favourable environment for private investment to thrive as well as providing social infrastructure and other activities that have positive economic outcomes. They tend to focus on developing countries with limited access to local and external capital markets by providing long-term fnance for infrastructure projects in developing countries. DFIs facilitate private sector investment and provide risk guarantee that provide comfort for investors. They provide fnance that is linked to the design and implementation of capacity-building programmes adopted by governments (te Velde, 2011). DFIs also play an active role in fnancing small and medium-size enterprises (SMEs), which are often perceived as risky by other fnance providers. In that case, they take the frst mover advantage in markets with high growth potential. They often have a double bottom line: pursuing proft and pursuing development. On one hand, they invest for the purpose of generating returns, which enable them to undertake more investments. On the other hand, they facilitate the economic development of the countries they invest in (Dickinson, n.d.). DFIs contribute by adding value to the economic development process. Dalberg (2009) mentions three ways by which DFIs do this: 1 Investing in underserved projects types and settings – the business model of DFIs is designed so that they are able to invest in highly risky projects in developing countries. They have the capacity to tolerate high risk and make long-term investments, especially in areas where private investors consider risky to commit resources to. 2 Investing in undercapitalised sectors – they specialise in investing in sectors such as agriculture, energy, the fnancial sector, and infrastructure, which are critical to driving economic growth. 3 Mobilising other investors – they promote sharing knowledge, setting standards, and collaboration, which helps attract other investors. Their track records enable other investors to scale up their investment, and they also build local capacity in fund management. Chapter 7 of this book provides a more comprehensive discussion of DFIs in the context of the global fnancial system. 1.5 FINANCIAL DEVELOPMENT, FINANCIAL INCLUSION, AND FINTECH2 During the past decade, the discussion about fnance and development has started to change, by focusing more specifcally on possibilities to improve fnancial inclusion – that is, on different measures to improve access to fnance for unbanked people; see also Chapter 10 in this book. Even if Chapter 1 • Introduction to contemporary issues in development fnance 11 fnancial development will lead to long-run economic growth, it is not clear at all that also poor people will gain a lot. Probably only if fnancial development operates on the so-called extensive margin, implying that it improves access to fnancial services by individuals who had no access to these services before, a process of fnancial development will be benefcial for the poor unbanked part of the society. If fnancial development operates on the intensive margin, and hence improves access to fnancial services only for those households and frms that already had access to fnance, fnancial development will not help unbanked people and will likely increase inequality, at the least in the short run. There is still an enormous lack of data regarding fnancial inclusion of poor people in the developing world. Fortunately, in 2011, the World Bank launched the Findex database, which is the world’s most comprehensive database on fnancial inclusion around the world. The dataset covers more than 140 economies around the world, drawing on survey data. The initial survey round was followed by a second one in 2014 and a third one in 2017. The study shows that currently almost 70% of adults around the world have a bank account. Moreover, the study provides promising fgures about a rise in fnancial inclusion in the last decade, also in developing countries, where bank account ownership increased from 55% to 63% between 2014 and 2017 (Demirgüç-Kunt, Leora, Dorothe, Saniya, & Jake, 2018). However, there are still considerable gaps in who has access to fnance: women are much less likely than men to have a bank account; bank ownership is still much lower in developing countries than in the developed world, and especially adults with low education and without formal jobs are still often excluded from any fnancial services. Thus, a further increase in fnancial inclusion to provide access to fnancial services for still-unbanked poor people seems important. Innovations in fntech are among the most promising developments in improving fnancial inclusion. Fintech refers to the emerging industry that uses technology to provide fnancial services. It is characteried as fnancial intermediation services delivered through mobile phones, computing devices using the internet, or cards linked to a secure digital payment system (Manyika, Lund, Singer, White, & Berry, 2016). The most widely adopted forms of fntech in developing countries, especially in sub-Saharan Africa, are mobile money and mobile fnancial services. Sub-Saharan Africa is even the only region where the share of adults with a mobile money account exceeds 10%. M-Pesa (see Box 1.3), a mobile phone–based money transfer service, launched in 2007 by VodafoneGroup plc and Safaricom in Kenya, was one of the frst mobile network operators in sub-Saharan Africa. Mobile money accounts have now spread to new parts of sub-Saharan Africa, and the share of adults with a mobile money account has now surpassed 30% in various countries, such as Côte d’Ivoire, Senegal, and Gabon. The success of M-Pesa has shown the possibility of leveraging simple non-internet-based mobile technology to extend fnancial services to large segments of unbanked poor people. It also shows the importance of designing a usage-based and low-cost transactional platform that enables lowincome customers to meet a range of payment needs. Fintech is very much associated with mobile money. Yet fntech also includes other applications, 12 Joshua Yindenaba Abor et al. BOX 1.3 M-Pesa M-Pesa was a small-value payment and store of value system using ordinary mobile phones. It was designed to enable customers receive and transfer funds securely by using ordinary mobile phones. Customers can also use it to pay bills such as water and electricity and store their money. M-Pesa was an immediate success: at the end of its frst year, it had registered 1.2 million customers in Kenya and had 19 million customers by the end of 2018. M-Pesa payments consist of personto-person (P2P) payments, which form a bulk, and person-to-business (P2B), business-to-person (B2P), and recently government-to-person (G2P) and government-to-business (G2B) payments. M-Pesa opened the door to formal fnancial services for Kenya’s poor. It introduced small accessible and affordable loans, increased the scope of payment services, and created more-affordable fnancial options for the poor. M-Pesa has now expanded beyond the borders of Kenya and by the end of 2019 became Africa’s most successful mobile fnance case, with 37 million active customers and 11 billion transactions across seven countries: the Democratic Republic of Congo, Egypt, Ghana, Kenya, Lesotho, Mozambique, and Tanzania. M-Pesa has also enhanced access to other economic and social infrastructure via its associated new product developments. For instance, in Tanzania, it has been used by a nongovernmental organization (NGO) – Comprehensive Community-Based Rehabilitation – to support patients to pay for travel cost to health facilities. M-Pesa has also has enabled access to electricity for low-income households in Kenya and Tanzania. This is via a partnership-based system, M-KOPA, that allows households to acquire a solar-powered off-grid electricity kit and pay for it in small daily payments by using their M-Pesa account. Source: Vodafone like a distributed ledger technology (blockchains), which can interact with the Internet of Things (IoT) to lower transaction costs and ease fnancing and mobile payments. In the literature, the terms ‘mobile money’, ‘mobile fnancial services’, ‘digital payments’, and ‘digital fnance’ are often used interchangeably. However, there is a crucial difference in that ‘digital’ refers to services that require access to digital devices (internet), whereas, for instance, a simple text-based mobile phone can be used without accessing the internet. Recently, a lot of research has been devoted to mobile money platforms and associated mobile wallet technologies, which enable the provision of fnancial services through a mobile phone. Initially, mobile money Chapter 1 • Introduction to contemporary issues in development fnance 13 referred mainly to person-to-person money transfers. However, mobile phones and more generally digital fnancial services transacted via mobile money platforms are now also used to pay bills, save money, conduct person-to-business payments, and receive payments (wages) and for investments (Suri, 2017; Apior & Suzuki, 2018). Mobile phones are also increasingly used to send and receive international remittances. See Chapter 5 in this book for an extensive discussion on the role of international remittances. In sub-Saharan Africa, the sending and receiving of remittances has even become the main use of mobile money (Demirgüç-Kunt et al., 2018). Mobile money platforms thus potentially offer wide accessibility (Osburg & Lohrmann, 2017) and may serve as conduits for fnancing different sectors in the economy, such as SMEs and smallholder farmers. They may also help to include the unbanked in the fnancial system (Klapper, El-Zoghbi, & Hess, 2016) and induce positive effects on education, health, employment, productivity, and poverty alleviation. While the success of M-Pesa seems to provide evidence for the potentially enormous role of fntech in enhancing fnancial inclusion and raising the living standards of unbanked people in the developing world, the development of fntech in many countries in Africa, South America, and Asia has been problematic. Even a replication of M-Pesa outside Kenya was often unsuccessful, especially in countries where a more advanced banking network was already available, such as in South Africa. Overall, the fntech sector in sub-Saharan Africa remains small (Yermack, 2018). Indeed, there are several limitations and risks, which make it unlikely that fntech will in the short run induce a process of fnancial inclusion that will improve the living standards of the majority of the still-unbanked adults. An important prerequisite of a successful rapid fntech development is the availability of a sound communications infrastructure (Yermack, 2018). However, in most developing countries, only a rudimentary communications infrastructure is available, characterized by limited access to broadband internet connections and smartphone handsets. To promote adequate investments, a supportive regulatory framework is needed. Yet most African governments have so far taken a hands-off approach to fntech regulation. Even if fntech were to be widely promoted, it can ensure and promote inclusive growth only if it meets the needs of disadvantaged groups. The uptake and use of mobile fnancial services in many developing countries will be limited due to low reading literacy and digital literacy levels (Nedungadi, Menon, Gutjahr, Erickson, & Raman, 2018). There is also a risk that specifc fntech services will not be provided to poor rural communities, to save costs (Ozili, 2018). Entire geographic areas might be excluded from new technologies, and the new world of data and information, as the success of particular forms of fntech, especially if big data is involved, crucially depends on the availability of data scientists, who may not be available in several developing countries. Much more research on the potential and limitations of fntech is needed. However, fntech will not likely be a panacea for raising the living standards of the unbanked population in the developing world in the short run. 14 Joshua Yindenaba Abor et al. 1.6 AN OVERVIEW OF THE CHAPTERS In this section, we provide an overview of the various chapters. We have deliberately not distinguished different parts in the book, because the chapters can be combined in various ways to deal with subparts of the extant development fnance literature. For instance, Chapters 1, 2, 3, 10, and 15 deal with domestic fnance issues. Chapters 4, 5, and 6 discuss external fnance, and Chapter 7 discusses the global fnancial architecture. Chapters 8 and 9 address issues on sovereign debt and wealth management, and Chapters 11, 12, 13, 14, and 15 discuss the fnancing of specifc sectors of the economy. In Chapter 2, Lordina Amoah, Charles Komla Delali Adjasi, Issouf Soumare, Kof Achampong Osei, Joshua Yindenaba Abor, Ebenezer Bugri Anarfo, Charles Amo-Yartey, and Isaac Otchere discuss the theoretical and empirical literature regarding the role of the fnancial sector in inducing a process of economic growth. They also discuss fnancial repression, liberalization, and growth and the fnance–growth nexus, highlighting the various hypotheses underpinning this relationship. Their chapter ends with a discussion of the importance of deposit-taking fnancial institutions and capital markets in the economic growth process. In Chapter 3, Niels Hermes and Robert Lensink provide an up-to-date review of the role of microfnance in the process of development. The aim of this chapter is to discuss, in the face of the recent criticism, whether, and if so how, there is still a role to play for microfnance in promoting inclusive growth. They distinguish between the supply side of microfnance, focusing on analyses at the MFI level, and the demand side of microfnance, focusing on end users. The next four chapters deal with external fnance. These chapters discuss how various types of external capital fows (private capital fows, remittances, and foreign aid) affect growth and development. Moreover, it discusses the international fnancial architecture. In Chapter 4, Elikplimi Komla Agbloyor, Alfred Yawson, and Pieter Opperman discuss the role of international private capital fows in promoting economic growth. The chapter explains the difference between various types of private capital fows, such as foreign direct investments (FDI) and foreign portfolio investment (FPI). It examines how these components of private capital fows drive growth and assesses the interactions between private capital fows and domestic investment. In Chapter 5, Hanna Fromell, Tobias Grohmann, and Robert Lensink discuss the relationship between international remittances and development. They explain in detail the results and methodology of research that addresses international remittances from developed and developing countries. The chapter pays attention to, for example, the motivation for remittances, the impact of international remittances on economic growth, fnancial development, and inequality and poverty. The chapter ends with a discussion on policy tools to enhance the marginal impact of international remittance payments. In Chapter 6, Matthew Kof Ocran, Bernadin Senadza, and Eric OseiAssibey deal with foreign aid and development. They describe the historical Chapter 1 • Introduction to contemporary issues in development fnance 15 origins of foreign aid and summarise trends in the volume of aid. The chapter also summarises the voluminous literature on aid effectiveness. The chapter concludes by discussing some alternatives for foreign aid. After three chapters on the relationship between external capital fows and development, Joshua Yindenaba Abor, Angela Azumah Alu, David Mathuva, and Joe Nellis, in Chapter 7, discuss the system of global economic and fnancial governance – the so-called global fnancial architecture – that facilitates the fow of external capital. The chapter pays attention to the role of the institutions that make up the global fnancial architecture, such as the Bretton Woods institutions, including the International Monetary Fund (IMF), the World Bank Group, the World Trade Organization, the Bank for International Settlements (BIS), and the regional development fnance institutions in developing and emerging countries. They chapter also addresses fnancial globalisation, global crises, and reform issues regarding the global fnancial architecture. The next two chapters deal with sovereign management in developing countries. A distinction is made between sovereign wealth management and sovereign debt management. In Chapter 8, Mbako Mbo and Charles Komla Delali Adjasi discuss sovereign wealth management in emerging economies. Sovereign wealth management deals with questions related to prudent public fnance management. The chapter pays attention to the evolution and changing role of sovereign wealth management and asset-liability management in emerging economies. It also looks at asset allocation and risk management for sovereign wealth funds. In Chapter 9, Amin Karimu, Vera Fiador, and Imhotep Paul Alagidede pay attention to what is known as sovereign debt management. The chapter discusses how governments in developing countries have managed their international debt, and how external debt affects economic growth. It also deals with questions related to renegotiating debt contracts, debt-relief policies, sovereign debt restructuring, and risk management frameworks. The chapter ends by analysing debt sustainability and a medium-term debt strategy. In Chapter 10, Joshua Yindenaba Abor, Haruna Issahaku, Mohammed Amidu, and Victor Murinde discuss the relationship between fnancial inclusion and economic growth. Whereas Chapter 2 pays attention to the more general discussion of fnancial development and economic growth, this chapter deals with the more recent discussion on fnancial inclusion and economic growth. Financial inclusion, in theory, differs from fnancial development: fnancial development focuses on the development of the fnancial sector in general, whereas fnancial inclusion deals with the question who actually has access to the fnancial system and to what extent access to the fnancial sector has improved for certain groups, especially the poor, in a society. However, in terms of measurement, the difference between fnancial development and fnancial inclusion is often not clear. This chapter defnes fnancial inclusion, provides a guide to its measurement, describes the trends in fnancial inclusion, discusses the determinants of and barriers to fnancial inclusion, and assesses the link between inclusive fnance 16 Joshua Yindenaba Abor et al. and fnancial development. It also examines the effect of inclusive fnance on economic growth, including the importance of recent innovations like mobile phone–based money transfers. The chapter ends by discussing the roles of institutional architecture in the nexus between fnancial inclusion and economic growth. The next fve chapters deal with fnancing particular sectors in the economy and its relevance for economic development. Distinctions are made between fnancing the agricultural sector, fnancing infrastructure, fnancing sustainable development, fnancing the external sector, and fnancing the private sector, especially SMEs. In Chapter 11, Haruna Issahaku, Edward Asiedu, Paul Kwame Nkegbe, and Robert Osei discuss fnancing agriculture for inclusive development. The chapter examines how fnancing agriculture can promote inclusive development and reduce poverty and inequality. The specifc topics covered include stylised facts on agriculture development, challenges of agriculture fnancing, fnancing opportunities, innovative fnancing models for agriculture and agriculture development, and inclusive development. In Chapter 12, Gordon Abekah-Nkrumah, Patrick O. Assuming, Patience Aseweh Abor, and Jabir Ibrahim Mohammed pay attention to fnancing sustainable development. The main issues covered here are global actions for sustainable development, challenges and opportunities of sustainable development, conventional and innovative funding modes for sustainable development, and benefts derived from fnancing sustainable development. The chapter offers innovative ideas for fnancing sustainable development. In Chapter 13, Steven Brakman and Charles van Marrewijk discuss international trade, fnance, and development. This chapter covers topics such as models of trade, the political economy of trade policy, various trade agreements, and the effects of trade policy on economic growth and development. The chapter also pays attention to the main aspects of exchange rates and the related importance of forward-looking markets for understanding the power of fnancial forces. Finally, the chapter discusses issues on trade fnance and concludes with a discussion of fnance, investment, and development. In Chapter 14, Saint Kuttu, Ashenaf Fanta, Michael Graham, and Joshua Yindenaba Abor discuss infrastructure fnancing and economic development. The chapter covers challenges and opportunities for infrastructure development, economic growth and development nexus, infrastructure fnancing models, a framework for enhancing private participation in infrastructure development, and risk management in infrastructure projects. In the fnal chapter of the book, Chapter 15, Joshua Yindenaba Abor, Haruna Issahaku, Charles Komla Delali Adjasi, and Elikplimi Komla Agbloyor return to the fnance and growth discussion that started in Chapter 2. Chapter 15, however, focuses on the role of the private sector in the fnancial development and economic growth discussion. The chapter argues that addressing the fnancing constraints of the private sector, especially those for SMEs, is necessary to drive growth in developing and emerging economies. The chapter provides an overview of the discussion related to the private sector and economic development, discusses the fnancing and Chapter 1 • Introduction to contemporary issues in development fnance 17 investment behaviour of frms, and examines how various forms of development fnance contribute to private sector development and economic development. 1.7 CONCLUDING REMARKS In this chapter, we have discussed the basic tenets of fnancial markets and their role in economic growth and development and pointed out the role of development fnance and DFIs in fnancing growth and development. The chapter shows that fnancial markets can be replete with bottlenecks and inherent challenges, rendering it imperfect and incomplete. If not reduced or controlled, these challenges could destabilize the economy and cause crises. Some of the key fnancial market problems that result in market imperfection are asymmetric information between borrowers and lenders of fnance and the presence of transaction costs. The asymmetric information prevents capital from being allocated in the most productive manner at an affordable cost. This creates fnancing gaps, rationing of credit, and market segmentation, rendering the fnancial market imperfect. This, coupled with signifcant transaction cost, creates market failures in fnancial markets. In the presence of these fnancial market failures, the economic growth and development process is heavily hampered and results in further gaps and developmental challenges in a country. This reiterates the importance of understanding the nature of fnancial systems and structuring appropriate interventions to fnance activities to sustain the economic development efforts of countries over time in order to produce positive economic and social outcomes. Well-functioning and well-structured fnancial systems minimise the informational gaps and transactions cost. When the fnancial sector functions effciently, it provides the avenues for market players to take advantage of investment opportunities by channelling funds for production, thus driving economic growth and development. We have also shown that the evolvement of fntechs has implications for the structure and depth of the fnancial system. In particular, fntechs provide innovative solutions by designing products that can be accessible for low-income populations and small businesses at a relatively lower cost. We do, however, note that for developing countries with low communications infrastructure, digital (internet) fntech-based solutions will be more costly to access than simple analogue fntech solutions. Development fnance deals with structuring and reforming the fnancial system in ways that promote growth and development at the macro and micro levels in developing and emerging economies. It focuses on how domestic and global fnancial systems facilitate the economic growth and development process. DFIs (be they multilateral, regional, and bilateral or country specifc in structure) carry out this role by minimising the imperfections in fnancial markets and institutions in order to improve the level of effciency and establish alternative fnancial institutions to provide direct capital in the market. DFIs therefore provide long-term fnance (including long-term loans, equity, and risk guarantee instruments) to promote private investment, economic growth, and sustainable development. 18 Joshua Yindenaba Abor et al. Discussion questions 1 Discuss the issue of information asymmetry in fnancial markets. What measures can be used to reduce information asymmetry? 2 What are the necessary measures to ensure effciency and effectiveness in the operation and performance of fnancial markets? 3 What is credit rationing? What are the consequences of credit rationing? 4 Using examples from your country, discuss the issue of transaction cost in fnancial markets. 5 Examine the place of development fnance in addressing the issue of 6 7 8 9 market imperfections in fnancial markets. Discuss how development fnance plays an important role in expanding capital availability to fnance economic growth and development. Discuss the various types of DFIs and their specifc roles. How do DFIs add value to the economic development process? How do fntechs address the issue of information asymmetry in fnancial markets? Discuss the conditions under which fntechs can enhance fnancial inclusion. Notes 1 The market consequences of information asymmetry were popularized by George Akerlof in his article ‘The Market for Lemons: Quality Uncertainty and the Market mechanism’ in 1970. In 2001, the Nobel Memorial Prize in Economic Sciences was awarded to George Akerlof, Michael Spence, and Joseph Stiglitz for their work on analysing markets with asymmetric information. 2 This section draws heavily on Hinson, Lensink, and Mueller (2019). References Abor, J. Y. (2017). Entrepreneurial fnance for MSMEs: A managerial approach for developing markets. London: Palgrave Macmillan. Akerlof, G. A. (1970). The market for lemons: Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84(3), 488–500. Apiors, E., & Suzuki, A. (2018). Mobile money, individuals’ payments, remittances, and investments: Evidence from the Ashanti Region, Ghana. Sustainability, 10(5), 1409. Biekpe, N., Cassimon, D., & Verbeke, K. (2017). Development fnance and its innovations for sustainable growth. An introduction. In N. Biekpe, D. Cassimon, & K. Verbeke (Eds.), Development fnance: Innovations for sustainable growth (pp. 1–16). London: Palgrave Macmillan. Coase, R. H. (1937). The nature of the frm. Economica, New Series, 4, 386–405. Dalberg. (2009). The growing role of the development fnance institutions in international development policy. Retrieved from www.fndevgateway. org/sites/default/fles/publications/ files/mfg-en-paper-the-growingrole-of-the-development-financeinstitutions-in-internationaldevelopment-policy-2009.pdf Demirgüç-Kunt, A., Leora, K., Dorothe, S., Saniya, A., & Jake, H. (2018). The Chapter 1 • Introduction to contemporary issues in development fnance global fndex database 2017: Measuring fnancial inclusion and the fntech revolution. Washington, DC: World Bank. Dickinson, T. (n.d.). Development fnance institutions: Proftability promoting development. Retrieved from www. oecd.org/dev/41302068.pdf Dixit, A. K., & Pindyck, R. S. (1994). Investment under uncertainty. Princeton and New York: Princeton University Press. Heffernan, S. (2006). Modern banking. Chichester: John Wiley & Sons Ltd. Hinson, R., Lensink, R., & Mueller, A. (2019). Transforming agribusiness in developing countries: SDGs and the role of fntech. Current Opinion in Environmental Sustainability (COSUST), 41, 1–9. Jaffe, D. M., & Russell, T. (1976). Imperfect information, uncertainty, and credit rationing. Quarterly Journal of Economics, 90, 651–666. Jaffe, D. M., & Stiglitz, J. E. (1990). Credit rationing. In B. Friedman & F. Hahn (Eds.), Handbook of monetary economics (pp. 837–888). Amsterdam: Elsevier Science Publishers. Keeton, W. (1979). Equilibrium credit rationing. New York: Garland Press. Klapper, L., El-Zoghbi, M., & Hess, J. (2016). Achieving the sustainable development goals. The Role of Financial Inclusion, 23(5). Retrieved from www.ccgap.org. Manyika, J., Lund, S., Singer, M., White, O., & Berry, C. (2016). Digital fnance for all: Powering inclusive growth in 19 emerging economies. New York: McKinsey Global Institute. Nedungadi, P. P., Menon, R., Gutjahr, G., Erickson, L., & Raman, R. (2018). Towards an inclusive digital literacy framework for digital India. Education+ Training, 60(6), 516–528. Osburg, T., & Lohrmann, C. (2017). Sustainability in a digital world. New York: Springer International. Ozili, P. K. (2018, December). Impact of digital fnance on fnancial inclusion and stability. Borsa Istanbul Review, 18(4), 329–340. Ray, D., Ghosh, P., & Mookherjee, D. (2000). Credit rationing in developing countries: An overview of the theory. In D. Mookherjee & D. Ray (Eds.), A reader in development economics (pp. 283–301). London: Blackwell. Seidman, K. F. (2005). Economic development fnance. Thousand Oaks, CA: Sage. Stiglitz, J. E., & Andrew Weiss, A. (1981). Credit rationing in markets with imperfect information. American Economic Review, 71(3), 393–410. Suri, T. (2017). Mobile money. Annual Review of Economics, 9, 497–520. te Velde, D. W. (2011). The role of development fnance in tackling global challenges. London: Overseas Development Institute. Vodafone. www.vodafone.com/whatwe-do/services/m-pesa Yermack, D. (2018). Fintech in SubSaharan Africa: What has worked well, and what hasn’t. Working Papers No. 25007. Cambridge, MA: National Bureau of Economic Research. CHAPTER 2 Finance, economic growth, and development Lordina Amoah, Charles Komla Delali Adjasi, Issouf Soumare, Kof Achampong Osei, Joshua Yindenaba Abor, Ebenezer Bugri Anarfo, Charles Amo-Yartey, and Isaac Otchere 2.1 INTRODUCTION The debate on the role of fnance in economic growth and development can be traced as far back as the 1800s (see Bagehot, 1873). At the commencement of the 20th century, Schumpeter (1912) highlighted the central role the banking system played in allocating savings to their most productive uses, hence improving productivity and ultimately economic growth. Over time, other authors, such as Gurley and Shaw (1955), Gerschenkron (1962), and Goldsmith (1969), have emphasized the importance of fnancial intermediation and resource accumulation in the economic growth process. More recently, with the advent of the endogenous growth models, the majority of the theoretical and empirical literature1 has revived the debate and continued to stress the important role of the fnancial sector in economic growth. This chapter generally provides a discussion on the theoretical and empirical issues underlying fnance, economic growth, and development phenomena. We start by overviewing some concepts and defnitions on the topic. We then discuss fnancial repression, liberalization, and growth. Next, we discuss the fnance–growth nexus, highlighting the various hypotheses underpinning the relationship. What follows is a discussion on the role of the fnancial system, accentuating how the various functions of the fnancial system spur economic growth and conclude the chapter with a discussion on fnancial intermediation and growth, emphasizing the role of deposittaking fnancial institutions and capital markets in the economic growth process. 2.2 FINANCIAL SECTOR AND FINANCIAL DEVELOPMENT: CONCEPTS AND DEFINITIONS The fnancial sector refers to the set of institutions, markets, instruments, and regulatory setup under which fnancial transactions are carried out in the fnancial system. Key players in the fnancial sector include banks, microfnance institutions (MFIs), insurance companies, investment bankers, Chapter 2 • Finance, economic growth, and development 21 mortgage companies, and stock exchanges, who provide fnancial services in the sector. Financial services encompass the assorted economic services provided by the fnancial institutions in the fnancial system. These comprise intermediation and advisory services, investment services, foreign exchange services, payment services, asset management services, risk management services, and debt resolution services, among others. The fnancial system refers to the framework within which all the aforementioned services are organized and offered. Accordingly, a better fnancial system will allow for an effcient allocation of resources in the economy. Financial systems function at frm-specifc, national, and global levels. Generally, fnancial development suggests advancement in the fnancial sector in terms of institutions, markets, and instruments/products. Empirically, fnancial sector development has been measured in various ways because of its complex nature and the dimensions it covers. Several indicators are used as proxies of fnancial sector development, depending on the issue under investigation. Typical fnancial development indicators (from the banking sector perspective) include total credit granted by fnancial intermediaries (banks and nonbank fnancial intermediaries), the private sector, gross domestic product (GDP), the liquid liabilities of the fnancial system (i.e. currency plus demand deposits and interest-bearing liabilities of banks and nonbank fnancial intermediaries) relative to GDP, and the ratio of commercial bank assets relative to commercial bank and central bank assets. Common stock market indicators of fnancial development are stock market capitalization (divided by GDP), stock market turnover, and stock market value traded. On the one hand, stock market capitalization measures the depth or relative size of the stock market. Stock market turnover (total value of domestic shares traded divided by market capitalization) and stock market value traded measure the liquidity of stock markets. These variables aid comparisons of fnancial development across countries. Financial development is measured2 in terms of depth, access, effciency, and stability. Financial depth refers to the extent of advancement and penetration of fnancial services provision to all levels of society in an economy. A relatively wider set of fnancial services gives people of various socioeconomic groups more options to choose from. Financial depth also connotes the size of the fnancial market and fnancial institutions relative to the size of the overall economy. Financial access describes the ability of individuals and businesses to obtain useful and affordable fnancial products and services that serve their interest in an economy. Hence, higher access to fnancial products and services implies a high-level fnancial inclusion. The opposite is also true: the inability of such groups to obtain fnancial services implies that they are fnancially excluded. Financial access facilitates the daily transactions of individuals and enterprises and aids in decision-making and planning over the longer term, such as access to shortand long-term fnancing and risk management instruments such as credit, insurance, and savings. Financial effciency refers to the scenario where market distortions are eliminated, where there is active competition in the market with 22 Lordina Amoah et al. information available to all stakeholders in the fnancial system such that the highest quality of fnancial services are provided at the lowest cost possible. Financial stability describes the state in which the fnancial system is resilient to economic shocks and is well capable of smoothly accomplishing its basic functions. It therefore implies the ability of the fnancial sector to consistently facilitate and boost economic processes, manage risks, and absorb shocks. The incidence of various fnancial crises, including the global fnancial crisis of 2007/2008 and the eurozone crisis of 2009, has reaffrmed the importance of maintaining fnancial stability. Further, depending on the aspect of the fnancial sector in question, different variables may be employed as indicators or proxies of fnancial development. There are clear differences between the fnancial sectors of developed and developing economies. On the one hand, the fnancial sectors of most developing countries are typically small, underdeveloped, and bank based. Some of the factors contributing to this include political instability, lack of the appropriate technological infrastructure, lack of trust and confdence in fnancial institutions, ineffcient legal systems, fnancial illiteracy, and the overregulation of government, inter alia. On the other hand, the fnancial sectors of most developed countries are far advanced in terms of depth, access, effciency, and stability and combine a good balance of intermediation that uses banks and capital markets. The composition of the fnancial sector, the fnancial structure, also differs across developed economies and developing economies. There are bank-based systems and market-based systems. In bank-based fnancial systems, banks play a prominent role in executing functions such as savings mobilization, capital allocation, diversifcation, and managing risks. In a market-based fnancial system, economic agents rely more on capital markets for their savings and borrowing. In that system, frms and governments raise funds from savers by issuing fnancial securities in the form of stocks and bonds. A fnancial system is described as bank based if the relative share (size or activities) of banks is bigger than that of the capital market. In the case of a market-based system, securities markets collaborate with banks in performing these functions, even though the capital market play the more active role, because they have a bigger market share. Examples of African countries with a bank-based fnancial system are Ghana, Nigeria, and Morocco. Other countries that have bank-based fnancial systems include Germany and Japan. Market-based fnancial systems, on the other hand, focus on the importance of the capital market. They are those in which the stock and bond markets play a critical role in the economy, by helping to raise long-term capital, infuencing corporate control, and providing opportunities for risk management. South Africa is an example of an African country with a market-based fnancial system. The US and the UK are also considered countries with market-based fnancial systems. There are differences in how banks and markets channel savings into investments. Typically, banks perform their intermediation function by mobilizing savings (predominantly deposits) for onward lending. By maintaining a close relationship between the two parties through information gathering, they are able to mitigate possible information asymmetry Chapter 2 • Finance, economic growth, and development 23 problems and adverse selection. Furthermore, banks provide the means for risk-averse savers to hold bank deposits instead of unproductive liquid assets. Banks are able to lend these deposits for use in productive investments that stimulate economic activity. On the other hand, markets provide a platform where debt and equity securities are issued and traded. Markets overcome information asymmetry problems through contract covenants and through the court system. Since the work of Gerschenkron (1962) and Goldsmith (1969), which expounded on the growth-enhancing role of fnancial structure, there has been burgeoning empirical debate3 on which fnancial structure is more effcient and growth enhancing. That is, whether bankbased fnancial systems or market-based fnancial systems spur growth faster. The bank-based view postulates that banks (or intermediaries) are better than markets at effciently allocating resources and hence propelling economic growth. For example, banks play the important role of providing fnance to small and medium-size enterprises (SMEs), which usually have limited or no access to capital markets. The market-based view argues that capital markets ensure good corporate governance and hence the optimal allocation of resources to expedite economic growth. The underlying argument is that large, liquid, and well-functioning markets help to ameliorate risk management through diversifcation and risk sharing. Capital markets are better able to fund new projects, research and development, and venture capital, which are crucial for increasing productivity in the economy.4 Notwithstanding the debate on the bank-based systems and marketbased systems, there is still a related strand of literature5 popularly referred to as the fnancial services view, which posits that bank-based systems and market-based systems are important together for economic growth because of the provision of complementary fnancial services. 2.3 FINANCIAL REPRESSION, LIBERALIZATION, AND GROWTH Financial repression describes the scenario in an economy where the government institutes laws, interventions, regulations, and other nonmarket restrictive policies in the fnancial sector. Such policies comprise capital controls; government domination of banks, credit, and interest rate ceilings; high-reserve ratios; restrictions on market entry and credit allocation; and so on. Governments of developing economies employ repressive policies as an option to tackle fscal challenges. The view is that putting such policies in place helps governments obtain rents from the fnancial system or manage public debt servicing. This phenomenon was prevalent in a number of developing economies after World War II. Indeed, in the period before the 1980s, a number of developing countries experienced serious economic and fnancial crisis. This was attributed to many factors, of which inappropriate fnancial sector policies, which were generally repressive, were primary (Kapur, 1991). Indeed, a number of studies have been conducted to examine the impact of fnancial repression on the growth of economies. A number of empirical studies support the notion of ineffcient allocation of capital during periods of fnancial repression, thereby impairing growth. The 24 Lordina Amoah et al. argument is that fnancial repression stifes the effcient functioning of the fnancial sector with concomitant adverse impact on growth. Specifcally, it leads to dampening in both saving and investment, inhibiting capital accumulation. That notwithstanding, this assertion has not been substantiated by the development trajectory of countries like Japan and South Korea, which have employed mainly repressionist policies. The challenges faced by developing economy governments that employed repressionist policies before the 1980s, coupled with increase in integration and globalization, forced these governments to rethink the system of controls. Hence, to curtail the repercussions of the crisis on their economies, governments of these economies in the early to mid 1980s embarked on extensive reforms to move from a repressive system to a market-oriented system, which gave rise to liberalization. Generally, fnancial liberalization refers to offcial government policies that focus on deregulating credit and interest rate controls, removing entry barriers for foreign fnancial institutions, privatizing fnancial institutions, or removing restrictions on foreign fnancial transactions. The free market system is allowed to interplay to set prices and thus stimulate competition. Financial liberalization has domestic and international dimensions. The suppositions of the neoclassical theory suggest that markets are effcient in allocating scarce resources. The theory posits that liberalization of fnancial markets increases the effciency with which these markets transform savings into investment, which leads to the better allocation of resources. Specifcally, the transmission mechanism may be explained as follows: 1 The onset of competition in the funds market increases interest rates on deposits, increasing the saving rate, which in turn increases the amount available for investment. 2 In the case of capital account liberalization, infows of capital in the form of debt and equity will also contribute to the increase in investment capital. All other things being equal, both scenarios imply an increase in loanable funds and hence a reduction in cost of funds or fnancing constraints of frms. This leads to increased investment and growth. 3 Financial liberalization improves risk diversifcation for fnancial institutions and international equity investors. 4 Competition, resulting from fnancial liberalization, causes fnancial institutions to become more effcient through the reduction in overhead costs, improvement in general bank management and risk management, and the offering of new products and services. These will help to improve the effciency of fnancial intermediation in a country, contribute to higher returns on investment, and ultimately increase the rate of economic growth. The seminal works of McKinnon (1973) and Shaw (1973) initiated the discussion on fnancial sector liberalization. Their work sought to criticize the repressive government policies that in their view led to excessive demand and ineffcient allocation of capital. Accordingly, governments of most developing countries in sub-Saharan Africa, in particular, adopted the Chapter 2 • Finance, economic growth, and development 25 programmes sponsored by the International Monetary Fund (IMF)/World Bank (WB) – the economic recovery programme (ERP)6 and the structural adjustment programme (SAP) – as part of reforms aimed at salvaging their ailing economies. The fnancial sector was given special attention in these reforms. The reforms entailed price and interest rate liberalizations, the removal of credit ceilings, the privatization of state-owned frms, and the introduction of a number of measures for banking and capital market development, including fnancial regulatory schemes.7 The fnancial sector reforms resulted in an increase in the number of banks and the establishment of stock markets and other fnancial institutions. The reforms were aimed at enhancing the dynamism in the fnancial architecture of these economies to promote effciency in, competitiveness in, and a deepening of the fnancial system. Notwithstanding the evidence in support of fnancial liberalization, many authors8 do not agree on the growth-propelling role of fnancial liberalization. Their arguments include the following: 1 Financial liberalization does not necessarily solve the problem of information asymmetry, but rather liberalized markets may actually exacerbate information problems. 2 More competition as a result of increased liberalization may have adverse implications for proft margins and increase fnancial fragility. 3 Financial liberalization may increase the risk appetite of banks, which will likely increase the number of fnancial institutional failures and hence provoke bank runs. Overall, the empirical literature9 on fnancial liberalization and economic growth is inconclusive. Indeed, more recently, authors like Reinhart (2012) have argued that fnancial repression policies have returned but this time implemented by governments of developed economies as a strategy to obtain low-cost funds from the fnancial market in the aftermath of the global fnancial crisis. 2.4 THE FINANCE–GROWTH NEXUS The fnance–growth nexus, as it is popularly referred to as, has a long history in economic literature. Indeed, the theoretical and empirical studies examining this phenomenon have been numerous. Goldsmith (1969) was one of the frst to provide empirical evidence of a relationship between fnance and growth. According to Goldsmith, a country’s fnancial superstructure accelerates economic growth and improves economic performance to the extent that it facilitates the migration of funds to the best user, i.e. to the place in the economic system where the funds will yield the highest social return. (p. 400) After Goldsmith (1969), the foodgates were opened for further study of the phenomenon.10 These studies have evolved in the econometric techniques 26 Lordina Amoah et al. used to examine the phenomenon, such as time series analysis and panel data techniques. The underlying debate is predicated on whether fnance can infuence growth – that is, the nature and strength of the relationship between fnance and growth. Another strand in the literature seeks to investigate the possibility of the existence of threshold effects. This suggests that the attainment of a positive relationship between fnance and growth is preconditioned on the existence of certain parameters. Some parameters examined in the literature include the level of economic development, infation, institutions, openness, institutional investors, the growth of private credit, the legal and regulatory environment, or government size and policies.11 Hence, fnance has a positive impact on economic growth within certain parameter thresholds, and beyond that, it ceases to have an impact. The debate has also revolved around the type of fnancial structure, bankbased fnancial system versus capital market-led fnancial system, and their respective impacts on growth. 2.4.1 Finance and growth: the debate on causality The direction of causality between fnance and growth has also gained attention in the literature. A number of hypotheses have been postulated to explain the causality: whether fnancial development causes growth or growth causes fnancial development. These hypotheses include the supplyleading hypothesis, the demand-following hypothesis, bidirectional causality, and the no-causality hypothesis. These are discussed in succession. One the one hand, the supply-leading hypothesis of fnancial development suggests that fnancial development acts as a productive input of economic growth. Schumpeter (1912) frst advanced the notion that the provision of fnancial services by the fnancial sector has growth-enhancing effects. Pagano (1993) propounded the theoretical model that shows the channels through which fnance leads to growth– that is, through the increase in the marginal productivity of capital, the proportion of saving channelled into investment, and the saving rate. Overall, the hypothesis implies causality that runs from fnancial development to economic growth.12 On the other hand, contrary to the views of Schumpeter (1912), Robinson (1952) posited that instead enterprise paves the way for fnancial development. By implication, higher growth creates the impetus for increased demand for a wide range of fnancial services. Hence, the establishment of modern fnancial institutions, their fnancial assets and liabilities, and associated fnancial services happens in response to the demand for these services by savers and investors in the real economy. Ultimately, the demand-following hypothesis suggests a causal relationship that runs from economic growth to fnancial development (Kuznets, 1955; Ang and McKibbin, 2007; Odhiambo, 2008; Ono, 2017). The bidirectional causality (i.e. two-way causal relationship) was popularized by Patrick (1966). According to him, the causal relationship between fnancial development and growth may better be illustrated by using the chicken-and-egg framework or a cause-and-effect scenario, predominantly determined by the stage of economic development. According Chapter 2 • Finance, economic growth, and development 27 to Patrick (1966), at the early stage of economic development, before modern industrial growth sets in, the supply-leading fnancial development is dominant, inducing and propelling innovative-type investments. As modern industrial growth sets in and progresses, the demand-following phenomenon becomes prevalent. Largely, the view implies that fnancial sector development is a product of economic growth, which in turn feeds back as a factor of growth.13 The bidirectional hypothesis, therefore, seems to suggest a threshold effect, in that in a certain band of some variables (economic development, infation, institutions, institutional investors, legal and regulatory environment, or government size and policies), fnancial development may be a good catalyst for further growth. However, beyond a certain level of these variables, fnancial development may not infuence growth, leading to a possible nonlinear relationship (indicative of some turning point in the fnance–growth relationship). Indeed, some empirical studies have examined the possible nonlinear relationship between fnancial development and economic growth.14 According to Berthélemy and Varoudakis (1996), two scenarios are likely to occur. The frst is a virtuous cycle in which a high level of income stimulates a high level of fnancial development, which in turn facilitates economic growth. The second is a vicious cycle in which a low level of income inhibits the development of the fnancial system, which in turn slows economic growth. In the two scenarios, a two-way causality is implied, the frst indicative of a positive relationship and the second a negative one. In the no-causal relationship hypothesis, fnance is not an important determinant of economic growth. Lucas (1988) constructed a neoclassical theory of growth where he considered three models: physical accumulation and technological change; human capital accumulation through schooling; and specialized human capital accumulation through learning by doing. In his view, the importance of fnance in the attainment of economic growth is badly overstressed in popular and professional discourse, and hence, he is inclined to disregard it. Simply put, fnancial development is not an outcome of economic growth, and neither is growth an outcome of fnancial development.15 The implication of a positive signifcant effect of fnancial development on economic growth (suggested by the supply-leading hypothesis and in some empirical studies) is an impetus for appropriate legal and regulatory systems as well as policy reforms to be put in place, in order to improve the functioning of the fnancial sectors of developing economies. A weak causality should, however, not suggest otherwise, as it may be indicative of the existence of ineffciencies in the fnancial system arising from weak institutions, infrastructure development gap, restrictive government policies, or an unfavourable legal and regulatory environment. That is, as suggested by the threshold analysis, a positive relationship between fnance and growth is preconditioned on the existence of certain parameters. In sum, the debate in the fnance–growth nexus appears to have been strengthened, recent studies pointing towards a context-based or conditioning effect. In other words, fnance drives growth only in certain country contexts or under certain conditions. Two factors have driven the 28 Lordina Amoah et al. context-based-effect or condition-effect explanations. These factors are, frst, the threshold effect and, second, the fnancial structure or typology effect. As already discussed, the threshold effect shows that there is a turning point (nonlinear effect) in the relationship between fnance and growth. The threshold effect has two views. In the frst view, fnance positively drives growth only in countries with good fnancial systems, quality institutions, and high income and development levels.16 In this view, the role of fnance in growth for low-income countries comes about only after a certain threshold of fnancial development has been achieved. Below this threshold, there is no effect of fnance on growth. The second view17 almost diametrically opposes the frst. In it, although the level of fnancial development is good for the fnance growth nexus, the relationship between fnance and growth is an inverted U-shaped one. Finance increases growth but only to an extent of fnancial level development, beyond which fnance is detrimental to growth for developed countries. In this case, too much fnance will therefore harm growth – a situation also referred to as ‘the vanishing effect of fnancial development’ (Law & Singh, 2014). The fnancial structure or typology effect relates to the type of fnance, where investment, consumption, or working capital is on one side and the dimensions of the fnancial structure on the other. Investment credit and to a certain extent consumption credit beyond a certain threshold is seen as harmful for growth. According to this view,18 working capital is the only form of fnance with a positive growth effect. With respect to the dimensions effect,19 the effect of fnance on growth depends on the different dimensions (depth, effciency, stability, openness, and access to fnancial services). A stable and effcient fnancial structure increases productivity and growth universally. However, the effect of other dimensions will depend on the level of development in the country. In this view, the existence of different thresholds in the fnance–growth nexus comes when we focus on depth, openness, and access to fnancial services. In a slightly related way, another perspective20 dwells on the view that although bank fnance increases growth, this effect is more pronounced and signifcant in countries with more-developed stock markets. The idea here is that such countries exhibit more effciency and stability. 2.5 THE ROLE OF THE FINANCIAL SYSTEM In the 1990s, even though there were general postulations about the growth effects of fnancial development, Pagano (1993) became the frst to propose the theoretical model explaining the channels through which fnancial development infuences economic growth. According to Pagano (1993), the fnancial sector spurs growth through the accumulation of productive factors and increase in total factor productivity. Accordingly, the fnancial system facilitates economic growth through its ability to increase the marginal productivity of capital, the proportion of saving channelled into investment, and the saving rate. In line with Pagano (1993), Levine (1997) outlines the specifc functions of an effcient fnancial system and how the implementation or existence of these functions should help increase the Chapter 2 • Finance, economic growth, and development 29 marginal productivity of capital, the proportion of saving channelled into investment, and the saving rate. These functions are as follows: • Mobilizing and pooling savings. • Producing information about possible investments and allocating capital. • Easing the exchange of goods and services. • Facilitating the trading, diversifcation, and management of risk. • Monitoring frms and exerting corporate governance. What follows is a discussion on how these functions lead to growth through the increase in the marginal productivity of capital, the proportion of saving channelled into investment, and the saving rate. Mobilizing and pooling savings: the quantity of savings channelled to investment is critical to economic growth. An effcient fnancial system increases the amount of savings mobilized from disparate savers and channels them towards investment in economically viable projects. In so doing, the fnancial system also helps to increase the saving rate. In mobilizing savings as a fnancial intermediary, the fnancial sector reduces the costs involved in collecting funds from a wide variety of savers and overcomes information asymmetries associated with ensuring that savers are comfortable to give up control of their savings.21 Producing information about possible investments and allocating capital: individual savers may not have the wherewithal and time to collect, process, and produce information on potentially viable investments. Information costs may stife capital from being directed to its optimal use. Financial intermediaries effciently take up the costly process of gathering information on investment opportunities for others. In this way, reduced information costs lead to improved resource allocation and hence accelerated growth.22 Easing the exchange of goods and services: fnancial markets provide arrangements that reduce transaction costs and the process of exchange of goods and services. For example, the fnancial sector provides a payment system that increases the reliability and speed of exchanges. The system helps people to save time and energy, which would otherwise be lost under a barter system, thereby helping them to focus on the nuances of the production process. Ultimately, by promoting specialization and innovation, the fnancial system improves productivity and in turn growth.23 Financial technology24 (fntech) is one of the fastest growing areas, facilitating payments and other fnancial transactions. A notable innovation is the Ethiopian Commodity Exchange (ECX) (see Box 2.1). The ECX provides a payment system that eases the exchange of commodities and facilitates risk management. The ECX provides a market for futures contract trading, which helps to mitigate risk for buyers and sellers, particularly in the commodity market. In most developing countries, the commodity market is crucial. The structure or platform on which the commodities market operates is critical for fnancial intermediation in the sector; hence, the ECX is an example of effective fnancial intermediation in the commodities market. Facilitating the trading, diversifcation, and management of risk: generally, fnancial transactions involve numerous risks, such as cross-sectional, 30 Lordina Amoah et al. intertemporal, and liquidity risks. The presence of risk prevents people who are risk averse from saving and investing or entering into fnancial contracts. The fnancial system provides the platform for the sharing of crosssectional risks and helps in the smoothing of intertemporal risks and in reducing liquidity risks. Financial systems also mitigate the risks associated with individual projects, frms, industries, regions, and countries. In particular, banks, MFIs, mutual funds, and securities (stocks, bonds, and derivatives) markets provide vehicles for the trading, pooling, and diversifcation of risks, through economies of scale and lower transaction costs. For example, some high-return projects require a commitment of capital for a longer time, whereas savers fnd it diffcult to relinquish control of their funds for longer-term periods. Thus, with a liquid fnancial market, savers have the option to hold liquid assets such as equity, bonds, or demand deposits, while fnancial markets transform these assets into long-term capital investments. Hence, fnancial markets lower transaction costs and enhance risk diversifcation. By so doing, they improve the amount of savings, the savings rate, physical resource allocation, and then economic growth.25 Monitoring frms and exerting corporate governance: fnancial intermediaries have the expertise and economies of scale necessary for verifying and monitoring projects and frms. In the agency theory, borrowers may not always act in the best interest of the providers of capital. Hence, monitoring is crucial because it ensures the truthful reporting of project outcomes and helps to minimize the incidence of moral hazard. Monitoring is also a costly process, especially if carried out by individual lenders. However, fnancial intermediaries reduce the costs associated with monitoring because of the economies of scale they enjoy from dealing with a large number of borrowers and lenders. In Thadder (1995) and Dolar and Meh (2002), as information costs reduce, capital allocation is enhanced, thereby increasing productivity growth. BOX 2.1 Enhancing fnancial intermediation in commodities markets: the ECX The ECX is a national multicommodity exchange in the fnancial system of Ethiopia. It aims at addressing the problems of a lack of access to fnance, no market structure, a lack of order in the market and its actors, low producer earnings, high contract performance risk and default, high market risk in quality, a lack of integrity and transparency in the agricultural trading system, and limited effciency in the market, among others. The ECX was established in 2006 and started its trading operations in April 2008. Commodities which are open for trade at ECX are coffee, sesame, haricot beans, wheat, and maize. The ECX enhances market effciency by operating a trading system where buyers and sellers use standardized commodity contracts by disseminating market information in real time to all market players. The ECX manages a system of daily clearing and settling of commodity Chapter 2 • Finance, economic growth, and development contracts. It also facilitates risk management by offering contracts for future delivery, providing sellers and buyers a way to hedge against price risk. Apart from enhancing payments of receipts of funds for commodities, the ECX helps address the agricultural marketing challenges and risks that were faced by farmers and traders, especially the rural farmers and traders. In that regard, the ECX has introduced seven electronic trading platforms in various regions in Ethiopia, and this e-trading platform enabled the ECX to trade 246,752 metric tons of commodities, mainly coffee and white beans. Since its operations in 2008, ECX has been able to achieve some its goals. Achievements of the ECX in the frst fve years of its operations include high returns to farmers through the effective payment system; improved impact on exports and trading volumes with high outreach of over three million farmers; improved warehouse capacity (57 warehouses and 300,000 metric tons warehouse storage capacity; market data (interactive voice response [IVR] had one million call-ins/month; SMS had 888,000 texts/ month; and website had 10,826 hits/month) as of 2013. The fnancial intermediation medium has borne some fruit compared to the period before the establishment of the ECX, in that there is increased access to fnance through the warehouse receipt fnance system, enhanced risk management, price discovery, and overall reduction in transaction costs. BOX 2.2 Enhancing fnancial intermediation (or inclusion through) in mobile fnancial services: the story of M-PESA M-PESA is a mobile fnancial service promoting fnancial intermediation (inclusion) in Kenya. It is simply a technological platform that requires a transfer of digital value in the form of electronic currency using text messages (SMS) and a multitude of agents who help their subscribers deposit money into and withdraw money from their mobile money accounts. This transfer is often done by agents who are found in specialized shops popularly known as M-PESA kiosks, which are widely spread across the country. M-PESA was launched in March 2007, after one of Kenya’s leading mobile network operators, Safaricom. The conceptualization of M-PESA was born out of critical observations: the majority of mobile network subscribers’ tendency to exchange airtime to transfer money, the increasing rate of adoption of technology, and the rapid infux of mobile phones in the country. This local mobile money transfer service has become a household fnancial intermediary or monetary instrument in Kenya and is used for multiple purposes, such as payments for goods and services, transferring money to other users, saving money, and converting from and to cash. According to Global Financial Index 31 32 Lordina Amoah et al. (Findex) data, as of 2014, approximately 58% of the Kenyan adult population had mobile money accounts. Again, out of the total number of frms who were interviewed by the FinAcces Business survey in Nairobi, as many as 35% of these frms attested to accepting mobile money as a form of payment method from their customers and 32% adopted mobile money in purchasing their inputs from their suppliers. The introduction of M-PESA has created a relatively cheaper alternative of transferring money, comparable to others such as Western Union and PayPal, and reduced the risk of theft associated with sending cash via friends or bus drivers. By 2014, the number of M-PESA kiosks had increased to about 124,000 (representing annual growth of 148%), and M-PESA had about 27 million registered users and over 130,000 agents as of 2016. According to the 2017 Safaricom annual report, the customer base increased to approximately 11.8% during the year under review and the total transactions executed were valued at about Shs6.9 trillion. Currently, this concept of mobile money has moved beyond the borders of Kenya to other parts of East Africa and West Africa. Across the sub-Saharan region, mobile fnancial services play vital roles in providing fnancial services to people who have limited access to traditional fnancial institutions such as the banks, insurance companies, stock exchanges, and mortgage institutions. Data from the Global Financial Index 2017 show that the share of adults who have a mobile money account in the sub-Saharan region has roughly doubled since 2014, from 4% to about 9%. Mobile money services are also available in other parts of the world such as Haiti, Chile, Mongolia, and Turkey. 2.6 FINANCIAL INTERMEDIATION AND GROWTH The preponderance of literature (as seen in the preceding sections) point to the growth-enhancing effects of fnancial intermediation, a function performed by fnancial institutions and fnancial markets. Financial institutions and markets vary in their approach to executing the functions outlined in section 2.3, in order to propel growth. A discussion on some fnancial institutions and markets follows: specifcally deposit-taking fnancial institutions and capital markets. 2.6.1 Deposit-taking fnancial institutions and growth Deposit-taking fnancial institutions refer to fnancial institutions that are licensed to receive and manage deposits on behalf of clients. They also give out loans to their clients. By so doing, they play critical roles in the process of fnancial intermediation. There are a number of deposit-taking fnancial institutions. A discussion on some of these institutions, specifcally banks, microfnance institutions, and credit unions, follows. Chapter 2 • Finance, economic growth, and development 33 2.6.1.1 BANKS Particularly in economies with bank-based fnancial systems, banks play the critical role of formal fnancial intermediation, through the mobilization of funds from surplus units and channelling it to the most productive sectors of the economy. Apart from contributing to economic growth through their capital mobilization and allocation functions, banks encourage savings behaviour by offering savings, chequing, and time-deposit accounts to customers through branch networking; mitigate fnancial risk; facilitate payments (and hence, trade) within and beyond the borders of a country; and assist in the implementation of key macroeconomic policies (e.g. monetary policy) that ensure the stability of the overall economy and employment creation. Some empirical studies26 provide evidence that shows that banking development has a positive infuence on growth. The argument is that banks are more effcient at reducing market frictions and costs related to the mobilization and allocation of resources towards more-productive ventures. Information costs may hinder capital from being directed to its optimal use. Financial intermediaries, in this case banks, take up the costly process of gathering information on investment opportunities for others. In this way, reduced information costs lead to improved resource allocation and hence accelerate productivity growth. Singh and Weisse (1998) make a special case for banks on the basis that they foster long-term relationships with investors and thus provide a more stable source of fnance for attaining long-term growth and industrialization. Domestic credit to the private sector by the banking sector relative to gross economic output is one of the variables used in assessing the contribution of banks to an economy with regard to providing credit. Figure 2.1 shows domestic credit by the banking sector (% GDP) for the various income groups from 1973 to 2016. It shows a clear trend of a rise across all income groups. Generally, across successive years, high-income countries have recorded the highest domestic credit by the banking sector (% GDP), followed by the upper-middle income, the lower-middle income group, and then the low-income group. In terms of regional classifcation, Figure 2.2 shows that over the years from 1969 to 2017, East Asia and Asia Pacifc have FIGURE 2.1 Domestic credit by banking sector (% GDP) across income groups Low income Lower-middle Upper-middle High-income 120 100 80 60 40 20 0 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 Source: Beck, Asli, Ross, Cihak, & Feyen, 2015 World Bank Financial Structure Dataset and authors’ computations 34 Lordina Amoah et al. FIGURE 2.2 Domestic credit by banking sector (% GDP) by regional classifcation 200 150 100 50 Sub-Saharan Africa East Asiaand Pacifc North America Middle-east and North-Africa Europe and Central Asia 2017 2015 2013 2011 2009 2007 2005 2003 2001 1999 1997 1995 1993 1991 1989 1987 1985 1983 1981 1979 1977 1975 1973 1971 1969 0 South Asia La°n America and Caribbean Source: Beck et al., 2015 World Bank Financial Structure Dataset and authors’ computations recorded the highest domestic credit by banking sector. Europe and Central Asia follow after only from 200127 to 2017 and then North America. Credit associations and other fnancial cooperatives have existed for centuries. Credit unions are mutually owned fnancial cooperatives that generally provide savings and lending products to their members. Credit unions act as fnancial intermediaries, by providing credit and other fnancial services from lenders to borrowers who belong to the same community, be it a school, church, club, or a cooperative union, at relatively fair and competitive rates, usually lower than those of commercial banks. Each member is required to be a shareholder in the organization. Members usually satisfy a common bond, which may be determined by locality, employer, or religion, among others. Unlike banks, the main goal of credit unions is not to maximize profts but to provide fnancial services to its members. Each has a democratic structure, where it is owned and governed by the members, who direct the operations of the union. Unlike MFIs, credit unions provide credit to members at more competitive rates of interest. They operate with the aim of improving a standard of living to members. Surpluses generated are either ploughed back or given to members in the form of dividends or interest rebates. The concept of credit unions became common in the United States around the 1900s. It was a local strategy for fnancial inclusion for groups marginalized by race. Hence, working-class Black Americans or immigrants in the low-income class in rural households pulled their fnancial resources together by forming fnancial cooperatives in order to improve their lives. Over time, credit unions have grown around the world. The United States has the largest credit union membership around the world. There are just as many credit unions as banks in the US, with a combined asset of USD1 trillion (Pavlovskaya & Eletto, 2018). Box 2.3 is a brief illustration of how credit unions operate in Canada. Apart from providing fnancial alternatives, credit unions play a vital role in 2.6.1.2 CREDIT UNIONS Chapter 2 • Finance, economic growth, and development 35 supporting the urban populace amid stern competition from ingrained capitalist banks. One of the major benefts of credit unions is that the existence of the bond implies a reduction in information asymmetry and informationgathering costs, which facilitates the provision of fnancial services to groups which may otherwise would have been excluded from the formal banking system (McKillop & Wilson, 2011; McKillop & Quinn, 2017). Credit unions play an important role in rebuilding community and ultimately the country, on the basis of fnancial inclusion and solidarity. BOX 2.3 Credit unions in Canada Canada has a vibrant cooperative fnancial services sector comprising credit unions (popularly called caisses populaires in French-speaking regions, meaning people’s bank). The frst successful credit union in Canada was started in Lévis, Québec, in 1900 by Alphonse Desjardins. Canada has one of the highest per capita memberships in credit unions in North America. Over 75% of the population are members of at least one credit union, and Québec has the largest membership. Credit unions in Canada are deposit-taking fnancial institutions that are provincially regulated with legislation spelling out how they can lend, borrow, and invest. Provincial regulators supervise individual credit unions in their respective provinces, and credit unions are required to meet standards and work with public agencies to ensure they are among the country’s soundest fnancial institutions. The Canadian Credit Union Association (CCUA) is the leading advocate for a successful, competitive, and growing credit union industry in Canada. The CCUA was the frst owned and governed national organization in Canada. CCUA works on behalf of its members in four key areas: 1 Advocacy and government relations to ensure that national public policy recognizes the distinctiveness and strength of credit unions. 2 National regulatory and network compliance, which includes a focus on payments network compliance. 3 Professional development and education of credit union employees and board members. 4 National awareness building, which focuses on promoting the value and importance of Canada’s credit unions in local communities and to the Canadian economy. 2.6.2 Capital markets and growth Theoretical and empirical literature concur that capital markets play important roles in stimulating economic growth. Financial securities available on the capital markets are essentially long-term in nature and consist mainly of stocks (equity) and bonds (debt). On the one hand, stocks represent an 36 Lordina Amoah et al. ownership of the issuing company. Bonds, on the other hand, are usually issued by governments and corporate bodies. In market-based fnancial systems, stock markets play the major role of fnancial intermediation, bringing together investors willing to buy and those who want to sell their shares/stocks. Indeed, the proposition that stock markets contribute positively to economic growth has gained ground.28 The channels through which effcient stock markets facilitate growth is through the provision of liquidity for investors, increased physical capital accumulation, the improved allocation of funds towards long-term investments (arising from investors monitoring frms), and risk sharing. Empirical studies29 show that countries that are more developed and enjoy macroeconomic stability tend to have deeper stock markets. In particular, the laws and enforcement mechanisms that protect the rights of minority investors promotes stock market development. Levine (1991) accentuates the importance of stock market liquidity, which is the ability to trade equity easily, to economic growth. The argument is that more-liquid markets make it possible to engage in projects that require large injections of capital for a long period of time before yielding any profts. Liquid stock markets make it easy for savers to relinquish control of their savings for such long periods by providing them with assets that can be liquidated at any time, effortlessly. This allows frms to have permanent and uninterrupted access to capital to undertake economically viable projects. Contrary to these fndings, there is also another angle to the debate that argues that stock markets could adversely infuence growth.30 Stiglitz (1985) questions the role of stock markets in improving information asymmetries. In their view, stock markets disclose information through price changes, thereby creating a free-rider problem that weakens the motivation for investors to undertake costly research. Other channels through which stock market liquidity could prevent growth is discussed in the literature.31 Arguments are made about the reduction in saving rates through the income and substitution effect. There is also the issue of stock market liquidity adversely affecting corporate governance due to investor myopia. Unlike developed economies’ stock markets, developing countries’ stock markets have typically been illiquid and segmented with overall trading and capitalization centred on a few stocks. However, the past two decades have seen a number of countries implementing capital market reforms to spur fnancial sector development. For example, the sub-Saharan Africa (SSA) region has, for the past three decades, seen a swift increase in the number of stock exchanges (see Table 2.1) after the implementation of capital market reforms. According to Allen, Otchere, and Senbet (2011), the reform has led to relative improvements in economic growth rates of the African countries. Other initiatives have also been implemented to improve the effciency of capital markets and improve participation and fnancial access in the region. One of such initiatives is the introduction of the Ghana Alternate Market (GAX). This is elaborated in Box 2.4. According to Hearn, Piesse, and Strange (2010), countries perceive the development of equity markets as a means to facilitate both foreign equity portfolio investment and 2.6.2.1 STOCK MARKETS Chapter 2 • Finance, economic growth, and development 37 TABLE 2.1 Stock markets in sub-Saharan Africa Country Name of stock exchange Year of establishment Number of frms listed Botswana Ghana Kenya Malawi Mauritius Nigeria South Africa Côte d’Ivoire Zimbabwe Namibia Swaziland Tanzania Botswana Stock Exchange (BSE) Ghana Stock Exchange (GSE) Nairobi Securities Exchange (NSE) Malawi Securities Exchange (MSE) Stock Exchange of Mauritius (SEM) Nigerian Stock Exchange (NSE) Johannesburg Stock Exchange (JSE) Bourse Regionale des Valeurs Mobilieres33 Zimbabwe Stock Exchange (ZSE) Namibia Stock Exchange Swaziland Stock Exchange Dar es Salaam Stock Exchange 1989 1989 1954 1994 1989 1960 1887 1998 1946 1992 1990 1998 39 43 45 13 164 172 816 45 38 7 28 Source: Author’s compilation from various sources foreign direct investment (FDI) through the acquisition of shares in domestic companies and hence boost the low levels of funding from domestic savings. Despite these tremendous improvements in the growth of this sector in Africa, most of these markets are characterized by problems of thin trading, small size, low liquidity, weak regulatory institutions, and infrastructural bottlenecks (Yartey & Adjasi, 2007; Mlambo & Biekpe, 2007; Kuttu, 2017). In this regard, a number of issues infuencing stock market development have been investigated:32 legal, political, and governance system; liquidity and size effects; corporate governance, and so on. For example, according to Hearn and Piesse (2010), the dissimilarities in the colonial legacy and the ensuing legal institutions explains why the size and the activity of stock markets vary across Africa. That is, the actualization of the benefts of stock markets in developing countries depends largely on well-established property rights. The existence of these will serve as a good platform for appropriate regulations to be designed to minimize transaction costs associated with searching for and verifying information. Nevertheless, these characteristics can be improved or eliminated if the determinants of the stock market in Africa, such as shareholder protections, a legal framework, institutional quality, macroeconomic stability, and the banking sector development iterated by Yartey and Adjasi (2007), are established. BOX 2.4 Ghana Alternative Market The Ghana Alternative Market (GAX) is a parallel market operated by the Ghana Stock Exchange. The GAX was launched in 2013 to help small and medium-size enterprises (SMEs) generate funds to start their 38 Lordina Amoah et al. operations or expand their business operations. It focuses on SMEs with potential for growth. The GAX accommodates companies at various stages of their development, including start-ups and existing enterprises. Listing on the GAX helps frms gain access to long-term capital, enhance their status in the community, and improve their fnancial position. Advisory and regulatory fees involved in listing on the GAX is relatively lower compared to listings on the main Ghana Stock Exchange. Firms do not pay any application fees and do not incur any cost upon listing, as it is waived. A GAX-listed company pays an annual fee of only around USD450. A frm applying to list on the GAX must have a minimum stated capital of around USD50,000 at the time of listing. This shall be the capital after the frm’s initial public offering. The public foat of the applicant must constitute a minimum of 25% of the total number of issued shares. Admission may be granted to a start-up company if the applicant provides a three-year business plan to the GAX that shows the viability of the applicant. The company seeking admission to the GAX need not have recorded profts historically. However, it must have potential to make proft at least by the end of its third year of listing. Five companies were listed on GAX as of 2018. Source: Ghana Stock Exchange 2.6.2.2 BOND MARKETS Bonds are medium- to long-term debt securities. They may be issued by the government or corporate entities. Bond markets are alternative or complementary sources of medium- to long-term fnance for governments and corporations alike. Firms wishing to borrow for the medium to long term have the option of issuing corporate bonds. In this way, the bond market plays a key role in the effcient mobilization and allocation of fnancial resources in the economy. When bonds are issued by national governments, they are usually referred to as sovereign bonds.34 They may be denominated in governments’ domestic currency or a foreign currency. A typical example is the Eurobond. A Eurobond35 is denominated in a currency other than the home currency of the country or market in which it is issued. While literature is replete with studies on the role of banks and stock market in spurring economic growth, the same cannot be said about bond markets,36 particularly in developing countries, because bond markets in these countries are at the rudimentary stage. Hence, the market capitalization of bonds as a percentage of GDP is low. Whereas government bonds have gained some traction over the past decade, corporate bonds are relatively at the inception stage of development in these countries, due to factors such as ineffcient market infrastructure, a relatively underdeveloped regulatory framework, and a low number of market participants. There is dominance of over-the-counter (OTC) government or treasury bond markets with few bonds traded on the organized exchanges. Chapter 2 • Finance, economic growth, and development 39 Indeed, as agents of fnancial intermediation, bond markets serve as one of the channels through which savings are transformed into capital to fnance the real sector of an economy. The funds mobilized from the issuance of bonds provide the government with extra spending money, which is used for various developmental projects, ultimately stimulating economic activity. Such long-term fnance helps in addressing the growing infrastructural defcits, particularly in the sub-Saharan region. The declining trends in aid fows give credence to the increasing number of sovereign bonds being issued recently by developing countries as an alternative means to acquiring external funds to fnance infrastructural projects. In particular, Eurobonds have become popular as a fnance tool because of the high degree of fexibility that they offer issuers. For example, it allows the issuer to choose the country of issuance on the basis of the regulatory market, interest rates, and depth of the market. They are also attractive to investors because of their small par values and high liquidity. 2.6.3 Summarized overview of fnancial structure Table 2.2 shows the average fnancial structures of low-income and highincome countries. We observe that high-income countries exhibit higher scales of bank deposit to GDP, other fnancial institutions assets to GDP, private credit by banks to GDP, stock market capitalization to GDP, and stock market turnover than those of developing countries. However, bank net interest margin, bank overhead costs to total assets, and central bank assets to GDP are higher in developing countries than they are in developed countries. The high interest margin and high bank overhead costs to total assets are a refection of the low level of effciency associated with developing countries’ fnancial systems. In terms of the high central bank assets to GDP, this is an indication of the more dominant role that the public sector plays in low-income economies. Although financial liberalization has eroded many of the structures associated with financial repression in lowincome countries, a lot more is required to improve the level of effciency in these markets. TABLE 2.2 Average fnancial structures of high-income vs low-income countries, 2015 Variables Low income High income Bank deposits to GDP (%) Bank net interest margin (%) Bank overhead costs to total assets (%) Central bank assets to GDP (%) Other fnancial institutions’ assets to GDP (%) Private credit by banks to GDP (%) Stock market capitalization to GDP (%) Stock market turnover (%) 18.01 5.05 5.27 3.85 3.06 13.18 16.89 1.44 78.91 1.88 1.67 2.12 6.57 77.95 70.00 36.79 Source: Beck et al., 2015 World Bank Financial Structure Dataset and authors’ computations 40 Lordina Amoah et al. 2.7 REGULATION IN THE FINANCIAL SECTOR Because of the complex nature of the fnancial system and the role it is expected to play in the economy, governments are responsible for ensuring the effcient regulation of the fnancial system. This responsibility is provided by organizations that regulate and supervise fnancial institutions to ensure that they meet certain requirements. Such regulatory requirements aim to maintain the integrity and soundness of the fnancial system. Financial regulators are often saddled with the issue of imposing appropriate regulation aimed at ensuring the safety and soundness of the fnancial system without limiting competition and effciency. Regulating the fnancial system is aimed at protecting investors; preventing securities issuers from defrauding investors and hiding important information; maintaining the stability of fnancial markets and institutions; promoting effciency, competition, and fairness in the trading of fnancial securities; restricting the extent of participation of foreign entities in the domestic markets; and controlling the level of economic activity. There are different regulatory regimes across various countries. While some jurisdictions have different fnancial regulators responsible for regulating different aspects of the fnancial system, others have one regulator (besides the oversight role of the central bank over the banking sector) overseeing the nonbank fnancial system. For examples, countries such Ghana, Nigeria, and India have different regulators for banking, securities markets, insurance, and pensions. Until 2017, South Africa had two sector-specifc regulators, the South African Reserve Bank (SARB) for regulating the banking sector and the Financial Services Board (FSB) for overseeing the nonbanking sector. This situation has changed with the new regulatory framework that focuses on establishing two regulators: a prudential regulator (Prudential Authority) operating in the SARB will be in charge of promoting and enhancing safety and soundness of fnancial institutions and a dedicated market conduct regulator (Financial Sector Conduct Authority) responsible for supervising market conduct with the aim of protecting fnancial consumers. The South African model is similar to that of England, which after the global fnancial crisis, split the responsibilities of the Financial Services Authority in 2013 and assigned them to two organizations: the Financial Conduct Authority and the Prudential Regulation Authority of the Bank of England. 2.8 CONCLUSION The importance of the fnancial sector in an economy cannot be overemphasized. Specifc functions performed by this sector include the mobilization and pooling of savings; the production of information about possible investments and allocation of capital to best user; easing the exchange of goods and services; facilitating the trading, diversifcation, and management of risk; and enforcing corporate governance. Undeniably, the relationship between fnancial sector development and economic growth has received and continues to receive attention from policy think tanks, fnancial market practitioners, and academic researchers. Chapter 2 • Finance, economic growth, and development 41 A number of postulations have been made in both the theoretical literature and the empirical literature. This chapter provided a review of concepts and existing literature on fnancial development and economic growth and development. First, the literature points to ineffcient allocation of capital and stunted growth during periods of fnancial repression, which was a popular phenomenon after World War II. This argument gave credence and impetus to the adoption of liberalization policies in the 1980s. The objective was to propel a free market system, stimulate competition, and enhance dynamism in institutions, products, and systems in the fnancial sectors of mostly developing economies. Nonetheless, more recently, fnancial repression policies have been readopted and are being implemented by governments of developed economies as a strategy to obtain low-cost funds from the fnancial market in the aftermath of the global fnancial crisis. The debate on the relationship between fnancial sector development and economic growth and development continues unabated, even though the preponderance of the empirical literature points to the positive effects of fnancial development on growth and development. Theoretically, fnancial sector development facilitates economic growth through its ability to increase the marginal productivity of capital, the proportion of saving channelled into investment, and the saving rate. Hence, a welldeveloped fnancial system is expected to enhance physical capital accumulation and facilitate the effcient allocation of resources that will feed into economic growth. More-recent literature has also focused on examining the possibility of threshold effects in the fnance–growth nexus, thereby suggesting a nonlinear relationship. By implication, the existence or not of certain parameters may infuence the direction and extent of the relationship between fnancial sector development and economic growth. Furthermore, the debate in the literature on whether the bank-based fnancial sector or the market-based fnancial sector is more growth enhancing has still not reached a conclusion. That notwithstanding, banks are particularly important in developing countries where stock markets are relatively smaller or play a less active role in fnancial intermediation. Even so, the fnancial services view posits that both bank and market-based systems are important together for economic growth because of the provision of complementary fnancial services. Regulating the fnancial system aims to protect investors and maintain the stability of fnancial markets and institutions. There are different regulatory regimes across various countries. Some countries have different regulators responsible for regulating different aspects of the fnancial system, while others have one regulator overseeing the nonbank fnancial system. In conclusion, the importance of fnancial sector development to an economy increases the need to put appropriate policies in place to improve the functioning of the sector. As mentioned in the literature, these may include but are not limited to maintaining a stable macroeconomic environment, quality institutions and political governance, and a conducive legal and regulatory environment. 42 Lordina Amoah et al. Discussion questions 1 Financial development leads to economic growth and not the other way round. Comment on this assertion. 2 Explain the following concepts: fnancial depth, access, effciency, and stability. 3 Describe the main functions of the fnancial sector. 4 What are the channels through which the functions performed by the fnancial sector contribute to economic growth? 5 What is fnancial repression, and what are its consequences for an economy? 6 What are the differences between bank-based fnancial sectors and market-based fnancial sectors? 7 Banking sector development is more critical for developing economies than stock market development. Comment on this statement. 8 What are the mechanisms through which fnancial intermediation of banks and stock markets contribute to economic growth? 9 How does the fnancial intermediation of the various deposit-taking fnancial institutions contribute to economic growth? 10 How would you describe the African fnancial system? What policies should be put in place to facilitate improvements to the fnancial system? Notes 1 See Pagano (1993), Levine (1997), Barro and Sala-i-Martin (1998), Montiel (2003), Arestis, Chortareas, and Magkonis (2015), Ono (2017), and Ruiz (2018). 2 More-comprehensive measures of fnancial development are contained in the World Bank’s Global Financial Development Database (GFDD). The database provides a framework for four sets of indicators depicting a well-functioning fnancial system. 3 SeeLuintel (2008), Gambacorta, Yang, and Tsatsaronis (2014), Luintel, Khan, and Leon-Gonzalez (2016), Fufa and Kim (2018). 4 SeeAllen and Gale (1999) and Luintel et al. (2016). 5 See Boyd and Smith (1998), Levine and Zervos (1998), DemirgucKunt and Levine (1999), Beck, Levine and Loayza (2000), Levine (2002), Beck and Levine (2004), and Song and Thakor (2010). 6 The ERP and the SAP refer to the set of free market policy reforms imposed on developing countries by the IMF and the WB respectively as a precondition for receiving loans to salvage their ailing economies and reverse the prolonged period of severe economic decline. While the IMF focused on setting the macroeconomic development and policy agenda, the WB provided the structural adjustment lending. 7 For an extensive exposé on these reforms, see Nissanke and Aryeetey (1998), Senbet and Otchere (2006), Honohan and Beck (2007). 8 SeeStiglitz and Weiss (1981) and Stiglitz (2000). 9 For a survey of the literature, see, for example, Eichengreen (2001), Henry (2007), Kose, Prasad, Rogoff, and Wei (2010), Hermes and Lensink (2008), Edison, Klein, Ricci, and Slok (2004), and Prasad, Rogoff, Wei, and Kose (2003). Chapter 2 • Finance, economic growth, and development 10 See McKinnon (1973), Shaw (1973), Greenwood and Jovanovic (1990), Bencivenga and Smith (1991), Boyd and Smith (1998), King and Levine (1993a, 1993b), Levine (1997, 2005), Kugler and Neusser (1998), Demirgüç-Kunt and Maksimovic (1998), Rajan and Zingales (1998), Rousseau and Wachtel (1998), Beck et al. (2000), Acemoglu, Aghion, and Zilibotti (2003), Beck and Levine (2004), Andersen, Jones, and Tarp (2012), Adu, Marbuah, and Mensah (2013), Arestis, Chortareas, and Magkonis (2015) Otchere, Soumaré, and Yourougou (2016), Ono (2017), Durusu-Ciftci, Ispir, and Yetkiner (2017), and Ruiz (2018). 11 See Deidda and Fattouh (2002), Roija and Valev (2004), Shen and Lee (2006), Yilmazkuday (2011), Rousseau and Wachtel (2011), Law and Singh (2014), Ductor and Grechyna (2015), Adeniyi, Oyinlola, Omisakin, and Egwaikhide (2015), Samargandi, Fidrmuc, and Ghosh (2015), Ibrahim and Alagidede (2017), Ruiz (2018), and Fufa and Kim (2018). 12 See Rajan and Zingales (1998), Levine and Zervos (1998), Levine, Loayza, and Beck (2000), Beck and Levine (2004), Levine (2005), Abu-Bader and Abu-Qarn (2008), Kargbo and Adamu (2009), Masoud (2013), Adu et al. (2013), Herwartz and Walle (2014), Padhran, Arvin, Hall, and Nair (2016), Seven and Yetkiner (2016), and Bist and Read (2018). 13 Akinboade (1998) and Fowowe (2011) are among those who conducted empirical studies that support this view. 14 See Rousseau and Wachtel (2002), Yilmazkuday (2011), Adeniyi et al. (2015), and Ruiz (2018). 15 Ogun (1986) and Atindéhou, Gueyie, and Amenounve (2005) are among those who conducted empirical studies that support this assertion. 43 16 See Deidda and Fattouh (2002) and Rioja and Valev (2004). 17 See Rousseau and Wachtel (2011) and Beck, Büyükkarabacak, Rioja, and Valev (2012). 18 See Soedarmono, Hasan, and Arsyad (2017). 19 See Čihák, Demirgüç-Kunt, Feyen, and Levine (2012) and Naceur, Blotevogel, Fischer, and Shi (2017). 20 See Botev, Egert, and Jawadi (2019). 21 See Pagano (1993), Levine (1997, 2004), Acemoglu and Zilibotti (1997), and Dolar and Meh (2002). 22 See Greenwood and Jovanovic (1990), Bencivenga and Smith (1991), Berthélemy and Varoudakis (1996), and Greenwood and Smith (1997). 23 See King and Levine (1993a, 1993b), Berthélemy and Varoudakis (1996), and Montiel (2003). 24 This refers mainly to computer programmes and other technology designed to facilitate and support fnancial services. 25 See Greenwood and Jovanovic (1990), Dolar and Meh (2002), and Levine (2004). 26 See Boot and Thakor (1997), Levine and Zervos (1998), Beck and Levine (2004), Coval and Thakor (2005), and Seven and Yetkiner (2016). 27 Data is unavailable on the world development indicators for period before 2001. 28 See Levine (1991), Atje and Jovanovic (1993), Greenwood and Smith (1997), Levine and Zervos (1998), Luintel and Khan (1999), Rousseau and Wachtel (2000), Beck and Levine (2003), Kargbo and Adamu (2009), and Masoud (2013). 29 See Boyd and Smith (1998), Allen and Gale (1999), Boyd, Levine, and Smith (2001), Rajan and Zingales (2003), La Porta, Lopez-de-Silanes, Shleifer, and Vishny (1998), and La Porta, Lopez de Silanes, and Shleifer (2006). 44 Lordina Amoah et al. 30 See Stiglitz (1993), Shleifer and Vishny (1997), and Christopoulos and Tsionas (2004). 31 See Demirgüç-Kunt and Levine (1996) for an extensive discussion of these channels. 32 For an extensive discussion of these issues, see Hearn and Piesse (2010, 2013, 2015) and Hearn (2011, 2012). 33 This is an exchange situated in Côte d’Ivoire but serves as a common exchange for the eight francophone countries in West Africa. 34 The terms ‘sovereign bond’ and ‘sovereign debt’ are sometimes used interchangeably. But ‘sovereign debt’ encompasses a much broader stock of a country’s total outstanding government debt. 35 Issuance is usually handled by an international syndicate of fnancial institutions on behalf of the borrower. 36 Studies on bond market and economic growth include Mu, Phelps, and Stotsky (2013), Thumrongvit, Kim, and Pyun (2013). Pradan, Zaki, Maradana, Jayakumar, and Chatterjee (2015), Olabisi and Stein (2015), Fanta and Makina (2016), Presbitero, Ghura, Olumuyiwa, and Njie (2015), Duffour, Stancu, and Varottoa (2017), Coskun, Seven, Ertugru, and Ulussever (2017), Senga, Cassimon, and Essers (2018), and Bordalo, Gennaioli, Ma, and Shleifer (2018). References Abu-Bader, S., & Abu-Qarn, A. (2008). Financial development and economic growth: The Egyptian experience. Journal of Policy Modeling, 30(5), 887–898. Acemoglu, D., Aghion, P., & Zilibotti, F. (2003). Distance to frontier, selection, and economic growth. Working Paper No. 9066. Cambridge, MA: National Bureau of Economic Growth. Acemoglu, D., & Zilibotti, F. (1997). Was prometheus unbound by chance? Risk, diversifcation, and growth. Journal of Political Economy, 105(4), 709–751. Adeniyi, O., Oyinlola, A., Omisakin, O., & Egwaikhide, F. O. (2015). Financial development and economic growth in Nigeria: Evidence from threshold modelling. Economic Analysis and Policy, 47, 11–21. Adu, G., Marbuah, G., & Mensah, J. (2013). Financial development and economic growth in Ghana: Does the measure of fnancial development matter? Review of Development Finance, 3, 192–203. Akinboade, A. O. (1998). Financial development and economic growth in Botswana: A test for causality. Savings and Development, 22(3), 331–348. Allen, F., & Gale, D. (1999). Diversity of opinion and fnancing of new technologies. Journal of Financial Intermediation, 8, 68–89. Allen, F., Otchere, I., & Senbet, L. W. (2011). African fnancial systems: A review. Review of Development Finance, 1(2), 79–113. Andersen, T. B., Jones, S., & Tarp, F. (2012). The fnance – growth thesis: A sceptical assessment. Journal of African Economies, 21(AERC Suppl. 1), 157–188. Ang, J. B., & McKibbin, W. J. (2007). Financial liberalization, fnancial sector development and growth: Evidence from Malaysia. Journal of Development Economics, 84(1), 215–233. Arestis, P., Chortareas, G., & Magkonis, G. (2015). The fnancial development and growth nexus: A meta-analysis. Journal of Economic Surveys, 29(3), 549–565. Atindéhou, R., Gueyie, J.-P., & Amenounve, E. (2005). Financial intermediation and economic growth: Evidence from Western Africa. Applied Financial Economics, 15(11), 777–790. Chapter 2 • Finance, economic growth, and development Atje, R., & Jovanovich, B. (1993). Stock markets and development. European Economic Review, 37(2–3), 632–640. Bagehot, W. (1873). Lobard street. Homewood, IL: Richard Irwin. Barro, R. J., & Sala-i-Martin, X. (1998). Economic growth. Cambridge: MIT Press. Beck, T., Asli, D., Ross, L. E., Cihak, M., & Feyen, E. H. B. (2015, September). Financial development and structure dataset. Updated version of World Bank Policy Research Working Paper 6175. Washington, DC: World Bank. Beck, T., Büyükkarabacak, B., Rioja, F., & Valev, N. (2012). Who gets the credit? And does it matter? Household vs. Firm lending across countries. The B.E. Journal of Macroeconomics, 12(1), 1–46. Beck, T., & Levine, R. (2003). Stock markets, banks and growth: Correlation or causality? Policy Research Working Paper 2670. Washington, DC: World Bank. Beck, T., & Levine, R. (2004). Stock markets, banks and growth: Panel evidnce. Journal of Banking & Finance, 28, 423–442. Beck, T., Levine, R., & Loayza, N. (2000). Finance and sources of growth. Journal of Financial Economics, 58, 261–300. Bencivenga, V. R., & Smith, B. (1991). Financial intermediation and endogenous growth. Review of Economic Studies, 58(2), 195–209. Berthélemy, J.-C., & Varoudakis, A. (1996). Economic growth, convergence clubs, and the role of fnancial development. Oxford Economic Papers, 48(2), 300–328. Bist, P. J., & Read, R. (2018). Financial development and economic growth: Evidence from a panel of 16 African and non-African low income countries. Cogent Economics and Finance, 6(1). Boot, A., & Thakor, A. (1997). Banking scope and fnancial innovation. Review of Financial Studies, 10(4), 1099–1131. Bordalo, P., Gennaioli, N., Ma, Y., & Shleifer, A. (2018). Over-reaction in macroeconomic expectations. Working Paper 45 No. 24932. Cambridge, MA: National Bureau of Economic Research. Botev Jaroslava, Egert Balazs and Jawadi Fredj (2019). The nonlinear relationship between economic growth and fnancial development: Evidence from developing countries, emerging and advanced economies International Economics, 160, 3–13. Boyd, J. H., Levine, R., & Smith, B. D. (2001). The impact of infation on fnancial sector performance. Journal of monetary Economics, 47(2), 221–248. Boyd, J. H., & Smith, B. D. (1998). The evolution of debt and equity markets in economic development. Economic Theory, 12(3), 519–560. Christopoulos, D. K., & Tsionas, E. G. (2004). Financial development and economic growth: Evidence from panel unit root and cointegration tests. Journal of Development Economics, 73(1), 55–74. Čihák, M., Demirgüç-Kunt, A., Feyen, E., & Levine, R. (2012). Benchmarking fnancial systems around the world. World Bank Policy Research Working Paper 6175. Washington, DC: World Bank. Coskun, Y., Seven, U., Ertugru, H., & Ulussever, T. (2017). Capital market and economic growth nexus: Evidence from Turkey. Central Bank Review, 17. Coval, J. D., & Thakor, A. (2005). Financial intermediation as a beliefs-bridge between optimists and pessimists. Journal of Financial Economics, 75(3), 535–569. Deidda, L., & Fattouh, B. (2002). Nonlinearity between fnance and growth. Economics Letters, 74(3), 339–345. Demirgüç-Kunt, A., & Maksimovic, V. (1998). Law, fnance and frm growth. Journal of Finance, 53, 2107–2137. Demirgüç-Kunt, A., & Levine, R. (1996). Stock market development and fnancial intermediaries: Stylized facts. The World Bank Economic Review, 10(2), 291–321. Demirguc-Kunt, A., & Levine, R. (1999). Bank-based and market-based fnancial systems: Cross-country comparisons. Washington, DC: World Bank Publications. 46 Lordina Amoah et al. Dolar, V., & Meh, C. A. (2002). Financial structure and economic growth: A non-technical survey. Canada: Bank of Canada. Ductor, L., & Grechyna, D. (2015). Financial development, real sector, and economic growth. International Review of Economics & Finance, 37©, 33–405. Duffour, A., Stancu, A., & Varottoa, S. (2017). The equity-like behaviour of Sovereign Bonds. Journal of International Financial Markets, Institutions and Money, 48, 25–46. Durusu-Ciftci, D., Ispir, S., & Yetkiner, I. (2017). Financial development and economic growth: Some theory and more evidence. Journal of Policy Modeling, 39(2), 290–306. Edison, H. J., Klein, M., Ricci, L., & Slok, T. (2004). Capital account liberalization and economic performance: Survey and synthesis. IMF Staff Papers, 51(2), 220–256. Eichengreen, B. (2001). Capital account liberalization: What do cross-country studies tell us? The World Bank Economic Review, 15(3), 341–365. Fanta, A. B., & Makina, D. (2016). Equity, bonds, institutional debt and economic growth: Evidence from South Africa. South African Journal of Economics, 85(1), 86–97. Fowowe, B. (2011). The fnance–growth nexus in sub-Saharan Africa: Panel cointegration and causality tests. Journal of International Development, 23(2), 220–239. Fufa, T., & Kim, J. (2018). Stock markets, banks, and economic growth: Evidence from more homogeneous panels. Research in International Business and Finance, 44(C), 504–517. Gambacorta, L., Yang, J., & Tsatsaronis, K. (2014). Financial structure and growth. BIS Quarterly Review, 187. Gerschenkron, A. (1962). Economic backwardness in historical perspective: A book of essays. Cambridge: Harvard University Press. Goldsmith, R. W. (1969). Financial structure and Development. New Haven, CT: Yale University Press. Greenwood, J., & Jovanovic, B. (1990). Financial development, growth ad distribution of income. The Journal of Political Economy, 98(5, Part I), 1076–1107. Greenwood, J., & Smith, B. (1997). Financial markets in development, and the development of fnancial markets. Journal of Economic Dynamics and Control, 21(1), 145–181. Gurley, J. G., & Shaw, E. S. (1955). Financial Aspects of Economic Development, American Economic Review, 45, 515–538. Hearn, B. (2011). Modelling size and liquidity in North African industrial sectors. Emerging Markets Review, 12, 21–46. Hearn, B. (2012). Size and liquidity effects in African frontier equity markets. Applied Financial Economics, 22, 681–707. Hearn, B., & Piesse, J. (2010). The limited role of small stock exchanges in economic development: A case study of Mozambique and Swaziland. Development Southern Africa, 27(2), 205–224. Hearn, B., & Piesse, J. (2013). A reassessment of stock market integration in SADC: The determinants of liquidity and price discovery in Namibia. Applied Financial Economics, 23(2), 123–138. Hearn, B., & Piesse, J. (2015). The impact of frm size and liquidity on the cost of external fnance in Africa. South African Journal of Economics, 83(1). Hearn, B., Piesse, J., & Strange, R. (2010). Market liquidity and stock size premia in emerging fnancial markets: The implications for foreign investment. International Business Review, 19(5), 489–501. Henry, P. B. (2007). Capital account liberalization: Theory, evidence, and speculation. Journal of Economic Literature, XLV, 887–935. Hermes, N., & Lensink, R. (2008). Does fnancial liberalization infuence saving, investment and economic growth? Evidence from 25 emerging market economies, 1973–96. In B. Guha-Khasnobis & G. Mavrotas (Eds.), Financial development, institutions, growth and poverty reduction (pp. Chapter 2 • Finance, economic growth, and development 164–189). Basingstoke: Palgrave Macmillan, United Nations University. Herwartz, H., & Walle, Y. (2014). Determinants of the link between fnancial and economic development: Evidence from a functional coeffcient model. Economic Modelling, 37(C), 417–427. Honohan, P., & Beck, T. (2007). Making fnance work for Africa. Washington, DC: World Bank Publication. Ibrahim, M., & Alagidede, P. (2017). Financial development, growth volatility and information asymmetry in Sub-Saharan Africa: Does law matter? South African Journal of Economics, 85(4), 570–588. Kargbo, M., & Adamu, P. (2009). Financial development and economic growth in Sierra Leone. Journal of Monetary and Economic Integration, 9(2), 30–61. Kapur, I. (1991). Ghana-adjustment and growth, 1983–1991. Occasional Paper. International Monetary Fund, No. 86. Washington, DC: IMF. King, R. G., & Levine, R. (1993a). Finance and growth: Schumpeter might be right. Quarterly Journal of Economics, 108(3), 717–737. King, R. G., & Levine, R. (1993b). Finance, entrepreneurship, and growth: Theory and evidence. Journal of Monetary Economics, 32, 513–542. Kose, M. A., Prasad, E., Rogoff, K., & Wei, S. (2010). Financial globalization and economic policies. In Dani Rodrik & Mark Rosenzweig (Eds.), Handbook of development economics (Vol. 5, pp. 4283–4362). The Netherlands: North-Holland. Kugler, M., & Neusser, K. (1998). Manufacturing growth and fnancial development: Evidence from OECD countries. Review of Economics and Statistics, 80(4), 638–646. Kuttu, S. (2017). Modelling long memory in volatility in Sub-Saharan equity markets. Research in International Business and Finance, 44, 176–185. Kuznets, S. (1955). Economic growth and income inequality. American Economic Review, 45(1), 1–28. La Porta, R. L., Lopez de Silanes, F., & Shleifer, A. (2006). What works in 47 securities laws? The Journal of Finance, 61(1), 1–32. La Porta, R. L., Lopez-de-Silanes, F., Shleifer, A., & Vishny, R. W. (1998). Law and fnance. Journal of Political Economy, 106(6), 1113–1155. Law, S. H., & Singh, N. (2014). Does too much fnance harm economic growth? Journal of Banking & Finance, 41(C), 36–44. Levine, R. (1991). Stock markets, growth, and tax policy. The Journal of Finance, 46(4), 1445–1465. Levine, R. (1997). Financial development and economic growth: Views and agenda. Journal of Economic Literature, XXXV, 688–726. Levine, R. (2002). Bank-based or marketbased fnancial systems: Which is better? Journal of Financial Intermediation, 11(4), 398–428. Levine, R. (2004). Finance and growth: Theory and evidence, National Bureau of Economic Research Working Paper 10766. Levine, R. (2005). Finance and growth: Theory and evidence. In Philippe Aghion & Steven Durlauf (Eds.), Handbook of economic growth. Amsterdam: Elsevier Science. Levine, R., Loayza, N., & Beck, T. (2000). Financial Intermediation and growth: Causality and Causes. Journal of Monetary Economics, 46(1), 31–77. Levine, R., & Zervos, S. (1998). Stock markets, Banks and economic growth. American Economic Review, 88, 537–558. Lucas, R. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22, 3–42. Luintel, K. B. (2008). Financial structure and economic growth. Journal of Development Economics, 86(1), 181–200. Luintel, K. B., & Khan, M. (1999). A quantative reassessmnt of the fnance–growth nexus: Evidence from a multivariate VAR. Journal of Development Economics, 60, 381–405. Luintel, K. B., Khan, M., & LeonGonzalez, R. (2016). Financial development, structure and growth: New data, method and results. Journal of 48 Lordina Amoah et al. International Financial Markets, Institutions and Money, 43, 95–112. Masoud, N. M. (2013). The impact of stock market performance upon economic growth. International Journal of Economics and Financial Issues, 3(4), 788–798. McKillop, D. G., & Quinn, B. (2017). Irish credit unions: Differential regulation based on business model complexity. The British Accounting Review, 49(2), 230–241. McKillop, D. G., & Wilson, J. O. (2011). Credit unions: A theoretical and empirical overview. Financial Markets, Institutions & Instruments, 20(3), 79–123. McKinnon, R. I. (1973). Money and capital in economic development. Washington, DC: The Brookings Institution. Mlambo, C., & Biekpe, N. (2007). The effcient market hypothesis: Evidence from ten African stock markets. Investment Analysts Journal, 36(66), 5–18. Montiel, P. (2003). Macroeconomics in emerging markets. Boston: Cambridge University Press. Mu, Y., Phelps, P., & Stotsky, J. G. (2013). Bond markets in Africa. Review of Development Finance, 3(3), 121–135. Naceur, S. B., Blotevogel, R., Fischer, M., & Shi, H. (2017). Financial development and source of growth. New Evidence IMF Working Paper WP/17/143. Washington, DC: IMF. Nissanke, M., & Aryeetey, E. (1998). Financial integration and development in sub-Saharan Africa. London and New York: ODI and Routledge. Odhiambo, N. M. (2008). Financial depth, savings and economic growth in Kenya: A dynamic causal linkage. Economic Modelling, 25(4), 704–713. Ogun, O. (1986). A note on fnancial deepening and economic growth: Evidence from Africa. Nigerian Journal of Economic and Social Studies, 28(2). Olabisi, M., & Stein, H. (2015). Sovereign bond issues: Do African countries pay more to borrow? Journal of African Trade, 2(1–2), 87–109. Ono, S. (2017). Financial development and economic growth nexus in Russia. Russian Journal of Economics, 3, 321–332. Otchere, I., Soumaré, I., & Yourougou, P. (2016). FDI and fnancial market development in Africa. The World Economy, 39(5), 651–678. Padhran, R. P., Arvin, M. B., Hall, J. H., & Nair, M. (2016). Innovation, fnancial development and economic growth in eurozone countries. Applied Economics Letters, 23(16), 1141–1144. Pagano, M. (1993). Financial markets and growth: An overview. European Economic Review, 37, 613–622. Patrick, H. T. (1966). Financial development and economic growth in underdeveloped countries. Economic Development and Cultural Change, 14, 174–189. Pavlovskaya, M., & Eletto, R. (2018). Credit unions, class, race, and place in New York City. Geoforum. https://doi. org/10.1016/j.geoforum.2018.05. 020. Pradan, R., Zaki, D., Maradana, S., Jayakumar, M., & Chatterjee, D. (2015). Bond market development and economic growth: The G-20 experience. Review of Applied Management Studies, 13(1), 51–65. Prasad, E., Rogoff, K., Wei, S., & Kose, A. (2003). Effects of fnancial globalization on developing countries. Some Empirical Evidence. IMF Occasional Paper No. 220. Washington, DC: IMF. Presbitero, A., Ghura, D., Olumuyiwa, S., & Njie, L. (2015). International sovereign bonds by emerging markets and developing economies: Drivers of issuance and spreads. IMF Working Paper. Washington, DC: IMF. Rajan, R. G., & Zingales, L. (1998). Financial dependence and growth. American Economic Review, 88(3), 559–586. Rajan, R. G., & Zingales, L. (2003). The great reversals: The politics of fnancial development in the twentieth century. Journal of Financial Economics, 69(1), 5–50. Reinhart, C. (2012). The return of fnancial repression fnancial stability review no. 16 bank of France public Chapter 2 • Finance, economic growth, and development debt monetary policy. Financial Stability Review, 16, 37–48. Rioja, F., & Valev, N. (2004). Does one size ft all? A reexamination of the fnance and growth relationship. Journal of Development Economics, 74(2), 429–447. Robinson, J. (1952). The generalization of the general theory: The rate of interest and other essays (pp. 67–146). London: Palgrave Macmillan. Roija, F., & Valev, N. (2004). Finance and the sources of growth at various stages of economic development. Economic Enquiry, 42(1), 127–140. Rousseau, P. L., & Wachtel, P. (1998). Financial intermediation and economic performance: Historical evidence from fve industrialized countries. Journal of Money, Credit, and Banking, 30(4), 657–678. Rousseau, P. L., & Wachtel, P. (2000). Equity markets and growth: Cross country evidence on timing and outcomes. Journal of Banking and Finance, 24, 1933–1957. Rousseau, P. L., & Wachtel, P. (2002). Infation thresholds and the fnance– growth nexus. Journal of International Money and Finance, 21, 777–793. Rousseau, P. L., & Wachtel, P. (2011). What is happening to the impact of fnancial deepening on economic growth? Economic Inquiry, 49(1), 276–288. Ruiz, J. L. (2018). Financial development, institutional investors, and economic growth. International Review of Economics & Finance, 54, 218–224. Samargandi, N., Fidrmuc, J., & Ghosh, S. (2015). Is the relationship between fnancial development and economic growth monotonic? Evidence from a sample of middle-income countries. World Development, 68(C), 66–81. Schumpeter, J. (1912). The theory of economic development. Cambridge, MA: Harvard University Press. Senbet, L., & Otchere, I. (2006). Financial sector reforms in Africa: Perspectives on issues and policies (F. Bourgignon & B. Pleskovic, Eds.), Annual Bank Conference on Development Economics, 49 World Bank, Washington, DC, pp. 81–119. Senga, C., Cassimon, D., & Essers, D. (2018). Sub-Saharan African Eurobond yields: What really matters beyond global factors? Review of Development Finance, 8(1), 49–62. Seven, Ü., & Yetkiner, I. (2016). Financial intermediation and economic growth: Does income matter? Economic Systems, 40(1), 39–58. Shaw, E. S. (1973). Financial deepening in economic development. New York: Oxford University Press. Shen, C.-H., & Lee, C.-C. (2006). Same fnancial development yet different economic growth: Why? Journal of Money, Credit and Banking, 38(7), 1907–1944. Shleifer, A., & Vishny, R. W. (1997). A survey of corporate governance. The Journal of Finance, 52(2), 737–787. Singh, A., & Weisse, B. A. (1998). Emerging stock markets, portfolio capital fows and long-term economic growth: Micro and macroeconomic perspectives. World Development, 26(4), 607–622. Soedarmono, W., Hasan, I., & Arsyad, N. (2017). Non-linearity in the fnance– growth nexus: Evidence from Indonesia. International Economics, 150, 19–35. Song, F., & Thakor, A. V. (2010). Financial system architecture and the co‐evolution of banks and capital markets. The Economic Journal, 120(547), 1021–1055. Stiglitz, J. E. (1985). Credit markets and the control of capital. Journal of Money, Credit and Banking, 17(2), 133–152. Stiglitz, J. E. (1993). The role of the state in fnancial markets. The World Bank Economic Review, 7(suppl_1), 19–52. Stiglitz, J. E. (2000). Capital market liberalization, economic growth, and instability. World Development, 28(6), 1075–1086. Stiglitz, J. E., &Weiss, A. (1981). Credit rationing in markets with imperfect information. The American Economic Review, 71(3), 393–410. Thadder, E. (1995). Long-term contracts, short-term investment and 50 Lordina Amoah et al. monitoring. Review of Economic Studies, 62(4), 557–575. Thumrongvit, P., Kim, Y., & Pyun, C. S. (2013). Linking the missing market: The effect of bond markets on economic growth. International Review of Economics and Finance, 27, 529–541. Yartey, C., & Adjasi, C. (2007). Stock market development in Sub-Saharan Africa: Critical issues and challenges. International Monetary Fund Working Paper 2007 IMF WP/07/209. Washington, DC: IMF. Yilmazkuday, H. (2011). Thresholds in the fnance–growth nexus: A crosscountry analysis. World Bank Economic Review, 25(3). CHAPTER 3 Microfnance and development Niels Hermes and Robert Lensink 3.1 INTRODUCTION The role and importance of microfnance in reducing poverty is one of the most heavily discussed topics among academics and practitioners studying developing economies. Until the end of the 20th century, microfnance programmes were enormously popular and success stories were emphasized, even resulting in the 2006 Nobel Peace Prize for the founding father of microfnance, Muhammed Yunus, and then the microfnance industry started to become heavily criticized. The sudden drop in popularity is partly associated with the increase in rigorous evaluations of the impact of microcredit, which suggests that effect sizes are much smaller than expected and that they are nontransformative. Moreover, the commercialization of microfnance led to serious criticism as it may lead to mission drift, a process in which wealthier clients are prioritized over poorer clients (Cull, Demirguç‐Kunt, & Morduch, 2007). As a result of commercialization, microfnance institutions (MFIs) increased interest rates. It is now common to see interest rates above 50% on a yearly basis, which has resulted in serious ethical concerns (Hudon & Sandberg, 2013). According to some commentators (e.g. Bateman, 2010), microfnance may even be an obstacle to development. The aim of this chapter is to discuss, in the face of the recent criticism, whether, and if so how, microfnance still has a role to play in promoting inclusive growth. The chapter is structured as follows. In section 3.2, we defne the concept of microfnance and discuss how it has evolved over the past decades. Next, in section 3.3, we focus on the supply side of microfnance. In particular, we discuss the two main objectives of MFIs, outreach and fnancial sustainability, and explain that reaching both objectives simultaneously may be diffcult in practice. In section 3.4, we pay attention to examples of products that MFIs are providing and whether and how they aim to improve the contribution of microfnance to fnancial inclusion. Section 3.4 focuses on MFIs, and we turn our attention the users – that is, the demand side of microfnance – in section 3.5. This section provides an overview of recent studies that have assessed the impact of microfnance. The chapter ends with a conclusion. 52 Niels Hermes and Robert Lensink 3.2 THE EVOLUTION OF MICROFINANCE: FROM MICROCREDIT TO MICROFINANCE PLUS Microfnance is a broad concept, without a strict defnition. In general, microfnance refers to fnance provided to (poor) people who are excluded from the formal fnancial sector. Traditionally, microfnance was primarily associated with small credits (on average in developing countries around USD500) to poor people who are not able to borrow from commercial banks. Microfnance is provided by MFIs, which include a variety of fnancial institutions, such as nongovernmental organizations (NGOs), credit unions, microfnance banks, and nonbank fnancial institutions. Microfnance exists all over the world, including in developed economies, but most of the biggest MFIs have their headquarters in Asia, such as BRAC, the Grameen Bank, and ASA, all of which originate in Bangladesh. Since the frst implementation of microfnance, the number of MFIs and microfnance borrowers has increased exponentially. Ever since the 1997 initiation of the Microcredit Summit Campaign,1 the number of microfnance customers has been increasing, from 13 million in 1997 to 211 million in 2013, of which more than 80% have been women and 114 million have been among the poorest (Lensink & Bulte, in press). Moreover, whereas in 1997 there were only 655 microfnance programmes, in 2016 there were more than 10,000 worldwide. The formal beginning of the microfnance movement can be dated back to 1983, when the Bangladesh government decided that the research project that Muhammed Yunus had started in 1976 to test his method of providing credit to the rural poor was authorized and established as an independent bank. Yet long before this date, poor people who were excluded from formal credit could obtain microcredits via informal rotating savings and credit associations (ROSCAs), or via credit cooperatives. Microfnance has its roots in formal and informal fnancial institutions in the 19th century (Guinnane, 2002). The antecedents of microfnance, as well as the modern microfnance movement, rely heavily on group lending systems, where borrowers selfselect into groups to discuss issues related to borrowing, saving, and repayment. The Grameen Bank strategy combined group lending with the joint liability of borrowers. With joint liability, the entire group of borrowers becomes liable (responsible) for any default of individual group members. As borrowers want to avoid having to pay the debts for others, the joint liability group lending system would, in theory, contribute to reducing adverse selection and moral hazard problems (see Box 3.1). In practice, however, the effciency of the joint liability group lending system has been questioned, among other things, due to the high transaction costs of having to attend group meetings. Moreover, most group loans are short-term loans, which need to be repaid during group meetings ever week. This makes these loans unattractive to farmers because their repayment possibilities depend heavily on crop cycles. They are also unattractive for borrowers who want to make investments in a small enterprise because the returns on their investments take time to materialize. Chapter 3 • Microfnance and development 53 BOX 3.1 Group lending with joint liability: two main systems There is a wide variety of group lending systems. The two best-known systems are the Grameen Bank Solidarity group lending system and the village bank system. In the solidarity group lending system, borrowers are asked to form groups of three to seven members. Borrowers are jointly liable and payments are due weekly and are constant over the life of the loan. If a loan is repaid, the borrower becomes eligible for a larger loan, providing a dynamic incentive to repay. Often around eight solidarity groups are federated into a larger group (a centre) to discuss payment issues with a loan offcer of the MFI. In the village bank system, 15–30 people are brought together. A single loan is given to the village bank authority, which on-lends the single loan to individual members. Loan sizes may differ among members, but all loans carry the same repayment and interest rate terms. Also in this system, there is joint liability. Although there are several differences between the two systems, they also have a lot in in common. These include self-selecting groups, regular and compulsory meetings (often weekly), joint liability, and dynamic incentives. There are two main advantages of group lending systems. First, the joint liability clause reduces informational asymmetries. Because groups self-select, people ‘screen’ each other in order to ensure that only ‘good’ borrowers become members of the group, to reduce the possibility that individual borrowers have to pay for other borrowers in the group. This process reduces adverse selection problems. Moreover, after a group has been formed, the joint liability clause induces group members to monitor each other to reduce moral hazard problems. Second, due to peer pressure in closed community groups, and the related importance of reputation, honour, and shame, repayment rates are expected to be high in a group lending system, even when there is no formal joint liability system. There is quite some evidence that peer monitoring is even more important than a formal joint liability system in guaranteeing high repayment rates. This is probably one of the reasons why, in practice, many MFIs that use group lending systems do not have a formal joint liability system, do not enforce joint liability, or are fexible with the implementation of joint liability. As a consequence of the rigid character of the traditional microfnance group lending systems and of the high transaction costs of having to regularly attend group meetings, many MFIs have switched to individual lending systems and have tried to develop new instruments to reduce defaults. A well-known example of such an instrument is the use of a progressive lending system, also known as stepped lending, in which credit limits increase over time, contingent on the full repayment of previous loans. The progressive lending system is often combined with dynamic incentives, which imply that repaying borrowers are allowed access to future credits. 54 Niels Hermes and Robert Lensink While microfnance was traditionally associated mainly with microcredit, over the past decades, MFI has started to diversify, which led to a shift from microcredit to microfnance. Many MFIs now collect savings; sell insurance products, to a lower extent; and provide transfer and payment services. Life insurance, for instance, is a popular product. Life insurance is mostly offered as part of a microcredit package, in the form of credit-life contracts. These contracts ensure that if a borrower dies, the outstanding loans will be paid off and a fxed payout will be provided to the family. MFIs have also started to develop health insurance plans and both property insurance and crop insurance, and they have started to experiment with pension schemes. These micro-pensions focus on long-term savings, to provide income security to the aged poor who have worked in the informal sector and are not covered by formal retirement schemes. With their close connections and regular meetings with low-income workers in the unorganized sector, MFIs can be ideal fnancial institutions to channel micropension products to the poor in informal sectors. In addition to providing a broader range of fnancial products, MFIs also have started to offer nonfnancial services, which is known as microfnance plus. In general, the nonfnancial services aim to strengthen the impact of the fnancial services, and in particular of microcredit, on the welfare of the microfnance clients. Microfnance plus activities consist of three types of nonfnancial services: social services, business development services, and technical assistance. Social services integrate credit with health, education (gender training), or other programmes intended to increase health consciousness, practices, and formal uses. Business development services comprise a broad range of offerings, such as fnancial literacy training, management or vocational skills training, marketing, product design, and accounting and legal services. Technical assistance differs from business services in that it directly deals with the production of goods and services; it does not focus on managerial processes. Technical assistance can be delivered through technical training workshops or provided individually by a specialist who has a one-to-one relationship with the client. Figure 3.1 summarizes the different activities that are currently employed by MFIs. In the next section, we elaborate on the product development of MFIs. 3.3 THE SUPPLY SIDE OF MICROFINANCE: MFIS AND THEIR PERFORMANCE2 The main objective of MFIs is to provide fnancial services to poor households that are excluded from the formal fnancial system. This objective is usually referred to as outreach.3 Another objective of these institutions is to provide these fnancial services in a fnancially sustainable way – that is, over the longer term, these activities should not result in loss making. In the microfnance literature, people refer to the so-called double bottom line mission of improving the lives of the poor while being independent of donor support in the long run (Armendáriz & Labie, 2011). Achieving both objectives simultaneously is referred to as the microfnance promise (Morduch, 1999). In practice, however, these two objectives may be diffcult to combine. Chapter 3 • Microfnance and development 55 FIGURE 3.1 Microfnance services Source: Garcia and Lensink (2019) On the one hand, providing services to the poor is usually relatively expensive. First, a substantial share of the poor live in rural areas, which increases transaction costs. Second, they usually do not have collateral, increasing the risks and costs of lending to the poor. Third, fxed costs are high, because the amount in the loans provided or savings made by the poor is relatively low. Finally, information about the creditworthiness of these borrowers is hard to get. On the other hand, while costs are high, fnancial resources for MFIs may be limited. Their funding mainly comes from donors, market-based funding such as commercial loans and equity, and savings accounts collected from clients. The share of these funding sources depends on each MFI’s formal status. NGOs usually depend more on donor funding; cooperatives receive a large part of their funding from saving clients; and commercial MFIs usually have a larger share of loans and equity. The availability of donor funding is restricted by the development aid budgets of governments and international fnancial institutions, such as the World Bank and the regional development banks in Africa, Asia, and Latin America. Savings accounts are based on the number of clients and their ability and willingness to make savings. The availability of commercial loans and equity depend on the positive returns that MFIs are able to generate from their activities. Given the high costs of providing fnancial services to the poor and given the availability of funding, MFIs may have to make a choice regarding the question whether they aim at focusing on maximizing their outreach 56 Niels Hermes and Robert Lensink to the poor given the fnancial sources available or whether they should aim at generating returns on fnancial resources given a certain level of outreach. In practice, while NGOs generally focus more on their social mission of reaching out to the poor, commercial MFIs are more likely to emphasize fnancial returns, which may confict with the cost of their outreach. The discussion about the costs of microfnance and its funding points out that there may be a trade-off between outreach and fnancial sustainability. The existence of such a trade-off has been heavily debated in the academic literature and among practitioners. Some believe that MFIs can provide services to the poor while remaining fnancially sustainable. According to this view, sometimes coined as the fnancial systems approach (Robinson, 2001) or the self-sustainability approach (Schreiner, 2002), outreach and fnancial sustainability may be compatible since reaching a large number of customers creates economies of scale, leading to lower costs. In addition, fnancially sustainable MFIs may be better able to attract funding from private investors, which may be used to improve their outreach. Finally, some argue that proft-making MFIs may reinvest in servicing poorer clients. The proponents of this view stress that if MFIs provide services to the poor while making losses, their business model will not be sustainable in the long term. Others stress that MFIs should focus on their mission of servicing the poor – if necessary, fnanced by subsidies and other outside funding. This view is referred to as the poverty-lending (Robinson, 2001) or poverty approach (Schreiner, 2002). Until the late 1990s, the poverty-lending approach dominated the thinking about microfnance and the role of MFIs. From the beginning of the 2000s, the fnancial systems approach gained prominence. Since then, emphasizing the importance of developing fnancially sustainable MFIs has become an important feature in debates about the role of microfnance as an instrument to reduce poverty. This shift from emphasizing poverty reduction to showing fnancial performance was partly due to the success of the microfnance business model. Many MFIs reported high repayment rates of close to 90%–95%. This caught the attention of institutional investors looking for opportunities to invest in socially responsible projects that showed a positive return at the same time and from commercial banks seeing microfnance as a potentially interesting way to develop new and unexplored markets to which they could sell their fnancial services. The success of the model also led to strong growth in the number of MFIs and the number of services they provided, leading to increased competition in and commercialization of the microfnance sector, accompanied by an increased focus on making proft. One of the potential consequences of the shift from focusing on poverty and outreach to fnancial sustainability is referred to as mission drift (Copestake, 2007; Armendáriz & Szafarz, 2011; Mersland & Strøm, 2010). Mission drift occurs when MFIs increase the provision of fnancial services to wealthier clients at the cost of providing these services to poorer clients. Such a shift may be necessary to reduce costs and become fnancially sustainable because providing services to wealthier clients is more proftable. Notwithstanding this shift from focusing on poverty and outreach to fnancial sustainability, nowadays many MFIs are still not fnancially Chapter 3 • Microfnance and development 57 sustainable and are therefore depending on subsidies. Cull, Demirgüç‐ Kunt, and Morduch (2018) report that only half of the MFIs listed in the so-called MIX Market dataset, a web-based platform providing data on the performance of MFIs in more than a hundred developing markets, are fnancially sustainable. D’Espallier, Hudon, and Szafarz (2013) show that only 20%–25% of MFIs do not receive any donations.4 The question whether there is a trade-off between outreach and fnancial sustainability has been studied extensively. The results of these studies do not paint a clear picture. A number of studies suggest a negative relationship between outreach and fnancial sustainability. Among these are studies by Cull et al. (2007); Hermes, Lensink, and Meesters (2011); Hartarska, Shen, and Mersland (2013); and Louis and Baesens (2013). Other studies, however, fnd no relationship or even a positive relationship between outreach and fnancial sustainability for a trade-off: see, for example, Louis, Seret, and Baesens (2013) and Adhikary and Papachristou (2014). Several studies have looked into the conditions under which a trade-off is more likely to occur. These studies show that the representation of stakeholders on boards of MFIs (Hartarska, 2005), gender diversity in the board (Hartarska, Nadolnyak, & Mersland, 2014), and loan methodology (Tchakoute-Tchuigoua, 2012) may help explain when a trade-off occurs. The most comprehensive overview of the trade-off discussion in microfnance can be found in Reichert (2018), who performed a meta-analysis of the literature. He found that the presence of a trade-off strongly depended on the measurement of outreach and fnancial sustainability used. To conclude, the literature does not provide a clear-cut answer to the question whether there is a trade-off between outreach and fnancial sustainability. The safest conclusion, therefore, is to say that it depends on the context and on the way fnancial and social goals have been measured (see Box 3.2). BOX 3.2 Measuring outreach and fnancial sustainability of MFIs The fnancial sustainability of MFIs can be measured in various ways. In the literature, several studies use standard fnancial ratios, such as the return on equity (ROE), calculated as net operating income divided by the value of outstanding equity, and the return on assets (ROA), measured as the ratio of net operating income to the value of total assets of the MFI. Some studies use measures that are more specifc to microfnance, such as the operational self-suffciency (OSS) and the fnancial self-suffciency (FSS) of MFIs. OSS measures MFIs’ ability to cover costs with revenues by dividing total operating revenues by the sum of total fnancial expenses on attracting funding, including interest paid to depositors; interest and fees on loans from funds or other fnancial institutions and bondholders; and expenses on loan loss reserves and operations. FSS measures the adjusted total fnancial revenue divided by the sum of adjusted fnancial expenses, loan loss provisions, and operating expenses, where adjustments refer 58 Niels Hermes and Robert Lensink to correcting for the country-level infation rate and the implicit and explicit subsidies. FSS measures the extent to which MFIs are able to operate without ongoing subsidies, including soft loans and grants. Measuring outreach to the poor requires factoring in two dimensions. The breadth of outreach refers to the coverage of MFI and is generally measured by the number of clients served by the MFI. The depth of outreach refers to the type or profle of the clients served by the MFI and is measured mostly either by taking the ratio of active female borrowers to the total number of active borrowers of an MFI or by the average size of the loan divided by the GDP per capita of the country in which the MFI resides. A few studies focus on analysing organizational effciency by measuring how MFIs use resources and turn them into goods and services. These studies calculate the maximum level of outputs that can be generated given a certain quantity or costs of inputs, or they calculate the minimum quantity or the cost of inputs to generate a certain output level. The closer the organization is to producing the maximum output level or to minimizing the costs of production, the higher its effciency. Studies following this approach, in most cases, use either data envelopment analysis (DEA) or stochastic frontier analysis (SFA) to measure effciency. Examples of studies in microfnance using this approach are Caudill, Gropper, and Hartarska (2009); Hermes et al. (2011); and Servin, Lensink, and Van den Berg (2012). Fall, Akim, and Wassongma (2018) provide a meta-analysis of studies that measure the effciency of MFIs. 3.4 MICROFINANCE PRODUCTS Most fnancial services, such as savings and loan products, which are offered by MFIs, can be characterized as being simple and standardized. Microfnance loans are small and have fxed sizes, they have a fxed repayment schedule, they do not require physical collateral, and repayments already start from the frst week when the loan was obtained (i.e. the grace period is zero). Microfnance savings accounts have similar characteristics. These accounts have a fxed opening cost and allow for (and in some cases even require) small, fxed, and regular deposits, but withdrawals are usually at a relatively high cost. One reason why MFIs provide simple and standardized products is that the costs of offering such services to the poor are relatively low. In particular, loans offering simple and standardized fnancial products help customers make repayment, which reduces the risk of default for the MFI. Moreover, stimulating customers to regularly deposit savings in their accounts helps in making these deposits a proftable (or at least not a lossmaking) activity for the MFI. More importantly, however, offering simple and standardized products helps to discipline clients to make fnancial transactions. Commitments or disciplining mechanisms encourage regular payments. With strict repayment schedules, borrowers know when they have to make payments on their loan and can act accordingly by generating enough Chapter 3 • Microfnance and development 59 income or by saving up to generate the necessary funds. Savings products that require clients to regularly make deposits help customers to overcome the temptation to use funds now and instead save the money for later. Such savings products can be important because people fnd saving hard, which means trading current for future consumption. In this context, psychologists refer people’s tendency to procrastinate on a task or action that they tend to dislike. In most cases, the goals and needs of poor customers are short term. As explained by CGAP (2014, p. 16), for the poor, the ‘future is a distant concept and hard to imagine because present needs are so prominent’. Simplicity and standardization go at the cost of the fexibility of fnancial products. Not surprisingly perhaps, especially the poor may proft from their having access to more-fexible products. One of the greatest challenges the poor face is matching infows and outfows of funds, also termed ‘cashfow management’ in the literature (Collins, Morduch, Rutherford, & Ruthven, 2009). Their infows mainly come from income, savings made earlier, or loans and gifts they receive. Yet these infows are usually small, irregular, and uncertain. They need these infows to spend on basic needs (such as food and rents for housing), health payments, school fees, emergencies (such as the consequences of foods and hurricanes), and so-called big-ticket items (such as weddings and funerals). These spending categories are partly regular (basic needs, school fees) and partly unexpected or lumpy (emergencies, funerals). These characteristics of the infows and outfows of funds point out the diffculty of cashfow management that the poor face. Having access to more-fexible fnancial services facilitates cashfow management for the poor. Given the irregularity and uncertainty of their infows, having access to savings accounts and loans that allow them to use these funds whenever needed or make payments the moment infows are available makes it easier for them to match infows and outfows. Flexibility may be provided ex ante – that is, before the customer enters into the contract. In this case, the customer may choose terms at the start of the contract; no adjustments are allowed once the contract starts and sanctions; or penalties are used to commit customers to the initial terms. Another way of providing fexibility is ex post. In this case, terms may be adjusted after the contract has started, depending on the situation the customer is confronted with (e.g. droughts, foods, and illness). In case of full fexibility both ex ante fexibility and ex post fexibility are allowed. The problem for the MFI is that there is a trade-off between offering simple and standardized products versus offering products that are fexible. On the one hand, fexible products are costlier, and their use is more diffcult to monitor. Flexibility helps cashfow management, which potentially increases the repayment of loans or the depositing of savings. On the other hand, however, it may also reduce repayment and savings, because it breaks down commitment and discipline attached to standardized products. The challenge for MFIs is to develop product innovations in microfnance that aim at combining both fexibility and commitment/discipline (Labie, Laureti, & Szafarz, 2017).5 Such products would help poor customers dealing with cashfow management while reducing the risk of the nonrepayment of loans or low deposits of savings for the MFI. In recent years, MFIs 60 Niels Hermes and Robert Lensink have experimented with new product designs that try to combine these two characteristics. Some MFIs started offering loans with fexible repayment schedules or repayment schedules that are more closely linked to the fuctuations in income of their clients. In particular, MFIs lending to farmers have developed loan programmes with repayments due after the harvest season – that is, when borrowers obtain income from selling their products. For example, in Thailand, the Bank for Agriculture and Agricultural Cooperative (BAAC) offers agricultural loans with various maturities allowing for ex post fexibility. That is, if a farmer is confronted with repayment problems, the bank is willing to reschedule repayments by taking into account the projected future cashfows (Townsend & Yaron, 2002). To manage their loan portfolio with an ex post fexible contract, loan offcers of the bank regularly visit borrowers to obtain information about their repayment capacity. Confanza, a bank in Peru, offers so-called seasonal loans. These loans offer ex ante fexibility by adapting the repayment schedule and maturity to the crop cycle (Laureti & Hamp, 2011). SafeSave, a microfnance programme operating in Dahka, Bangladesh, offers full fexibility. Customers are offered a savings account that allows them to make deposits and withdrawals at any time for any amount. Moreover, active clients of the programme can also obtain loans without a fxed maturity and without a fxed repayment schedule in terms of timing and amount. SafeSave manages its operations by having loan offcers who come from the same areas where the customers live and who actively visit them to ask them to make deposits or repayments on loans (Labie et al., 2017). Some MFIs have experimented with adjusting the terms of their fnancial products. One example is an MFI called Village Financial Services, which has operations in Kolkata, India. This MFI introduced changes in the repayment structure of loans to see whether this improves the contribution loans can make to the welfare of their borrowers. One change they introduced was offering a loan with a two-month grace period. Microcredit often uses infexible repayment schemes, with repayments made twice a week starting right after the loan disbursement. This increases the probability of repayment but also makes it more diffcult for borrowers to use loans for investing in projects with a higher return, because this type of project may take more time to generate positive cashfows (Field, Pande, Papp, & Rigol, 2013). For the same reason, the MFI experimented with offering loans with monthly instead of weekly or twice-a-week repayment schemes (Field, Pande, Papp, & Park, 2012). Several other new product designs make use of so-called nudges (see Box 3.3). A nudge is an intervention aimed at changing an individual’s behaviour and decision-making in a direction that is seen as desirable by the those who developed the intervention. A nudge should stimulate people’s behaviour in a specifc direction, but it does not forbid individuals’ making their own choices (Thaler & Sunstein, 2008). Nudges in microfnance try to change customers of MFIs to make repayments on loans or deposit savings regularly and on time. Examples are the use of labelling savings accounts. By labelling a savings account for a specifc purpose such as health costs, or school fees, people may be stimulated to save more, because there is clear relationship between depositing savings and the use of the savings made Chapter 3 • Microfnance and development 61 (Dupas & Robinson, 2013). Some MFIs have introduced SMS text services to remind borrowers to make a loan repayment or to deposit savings (Karlan, McConnell, Mullainathan, & Zinman, 2016). BOX 3.3 Using nudges in microfnance: the example of Caja de Ica, Peru In 2008, researcher Dean Karlan and colleagues (Karlan et al., 2016) teamed up with a bank in Peru, the government-owned bank Caja de Ica, to try out a number of fnancial innovations and analyse their impact on the savings behaviour of the clients of the bank. The innovations were part of the new product, Plan Ahorro, of the bank. The product had the following characteristics. First, clients could sign up for the product and open an account, selecting the period for which they committed themselves to make regular savings (between six and 12 months after opening the account), indicating a minimum amount they would deposit every month and setting a goal (which they could select from a list of 14 pre-established categories) for which they would make the savings. Clients were required to make deposits within ten days from the due date each month, to meet their commitment. Second, the bank used various nudges, such as sending clients a reminder by mail seven days before the monthly due date. It also sent another reminder whenever a client did not make a deposit three days after their scheduled deposit date. Other nudges that were used included sending some of the clients a reminder with specifc information about the goal a client was saving for, next to the regular text about reminding them to make the deposit on time. In this way, the client’s salience of why they were making savings was increased, nudging them to make savings on time. As an example of providing specifc information about the goal, a client would receive the following text in the mail: ‘[Regular text about reminding to deposit] If you miss a payment, you will lose a total of [amount] in additional interest rate incentive that you will be able to use towards your savings goal of [goal]!’ A fnal example of a nudge used by the bank was asking some clients to bring a picture of the object they were saving for, such as a motorcycle. The bank would then make a jigsaw puzzle of this picture, and on each occasion the client was depositing money in their account, they would receive a piece of the puzzle. The idea was that in this way, a client would slowly see the object that they were saving for appear, which was supposed to stimulate them to keep on saving. The researchers did fnd evidence that receiving reminders increases the likelihood that clients remain committed to saving. They also found some evidence that these reminders increased the amounts of savings made. Finally, they found support for the fact that messages containing specifc information about the savings goal were effective in making clients save. These results suggest that nudges can also be important in infuencing people’s behaviour when it comes to their making savings. 62 Niels Hermes and Robert Lensink To conclude, we have discussed the importance of cashfow management for the poor. Cashfow management refers to the diffcult process of matching small, irregular, and uncertain income, savings, and borrowing with regular spending needs and unexpected or lumpy spending needs. The effectiveness of the poor’s cashfow management depends on the design of fnancial products. Product design is a crucial dimension of fnancial services when talking about how microfnance may help the poor to improve their welfare. 3.5 THE IMPACT OF MICROFINANCE ON END USERS The enormous growth of microfnance programmes during the frst two decades after the establishment of the Grameen Bank suggests that microfnance is a great success. Indeed, until the beginning of the 21st century, many practitioners and academics argued that microfnance could play an important, maybe even crucial, role in lifting the poor out of poverty. However, more recently, the popularity of microfnance has decreased enormously, and the rosy view of microfnance has been challenged by several developments. For example, many MFIs have been accused of offering extremely high lending rates, inducing borrowers from one MFI to borrow from another MFI, to repay their debt. This process has contributed to severe debt problems among some MFI clients. The southern Indian state of Andhra Pradesh even plunged into a microcredit crisis after microfnanceinduced suicides in 2010. Do the aforementioned developments imply that microfnance is unsuccessful? To answer this question, we take a closer look at the research that can teach us something about the success of microfnance. Before doing this, it is important to realize that the answer to the question whether microfnance is a success depends very much on the objectives of microfnance that are evaluated, the microfnance service that is evaluated (credit, savings, or microfnance plus), and the data used in the research. Broadly speaking, one can consider success by focusing either on data with respect to the social and economic impacts of microfnance on end users or data on the proftability and fnancial sustainability of microfnance institutions. This section deals with the frst group of studies; section 3.3 dealt with the second group of studies. 3.5.1 Impact of microcredit There are hundreds of studies on the impact of microfnance, of which most focus exclusively on microcredit. Surveys of these impact studies are provided, among others, by Armendáriz and Morduch (2010); Bauchet et al. (2011); Duvendack et al. (2011); Duvendack and Mader (2019); and Van Rooyen, Stewart, and De Wet (2012). It is impossible to survey the entire literature in this chapter. Therefore, we pay attention to some of the most infuential studies and try to draw some general conclusions. The impact of microfnance has been studied since the 1990s. Most of the early studies suggest positive impacts of microcredit. However, the Chapter 3 • Microfnance and development 63 scientifc quality of most of them is rather weak, in that, in general, problems related to self-selection bias or programme placement bias (see Box 3.4) have not been addressed. Yet there are some exceptions worth mentioning. Pitt and Khandker (1998) in their study use an impact evaluation methodology that takes into account that the MFIs they evaluate only allow households owning less than half an acre of land to borrow. By taking into account this eligibility rule, Pitt and Khandker (1998) are able to address some selection biases. The results of their study are quite positive; especially for women, there are large marginal effects of microcredit on indicators of welfare. However, Roodman and Morduch (2014) suggest that it is diffcult, if not impossible, to replicate the fndings from Pitt and Khandker’s study. Coleman (1999) is much less positive about the impact of microcredit. His study concludes that group lending provided by village banks in northeast Thailand had no signifcant impact on variables like assets, production, healthcare, and education. The study by Coleman (1999) is noteworthy because of the innovative evaluation technique he used. By exploiting information about the expansion strategy (pipeline approach) of MFIs, he differentiates between borrowers and nonborrowers in areas where microcredit is already available and in areas where microcredit will become available in the near future. His approach, akin to a cross-sectional double-difference methodology, under some strict assumptions, enables controlling for self-selection bias and programme placement bias. BOX 3.4 Why is evaluating a microfnance intervention so diffcult? To measure the impact of a microfnance intervention, such as providing some people with access to microcredit, on welfare, a researcher needs to try to uncover the causal effects of microcredit. That is, they need to examine whether, and to what extent, a change in welfare is due to microcredit and not due to other factors. An unbiased estimate of the impact of microcredit would be obtained by comparing welfare levels of the same group of individuals at the same point in time with and without microcredit. Obviously, this is not possible. The researcher is confronted with a missing counterfactual. In practice, several techniques have been used to deal with the missing counterfactual problem by defning a comparison or control group. However, fnding a valid comparison group for the group of people with microcredit is not an easy task. The following are some of the main problems that the researcher is confronted with: 1 Some people may deliberately decide to borrow microcredit, whereas others, even if they had the possibility to do so, may decide not to take up the credit. For instance, more-innovative people, in a group with otherwise similar characteristics, may decide to borrow. If the researcher tried to measure the impact of microcredit by comparing borrowers of microcredit with a 64 Niels Hermes and Robert Lensink comparison group of nonborrowers with the same measurable characteristics (age, education level, etc.), the estimate would probably suffer from self-selection bias. 2 The MFI may deliberately decide to open branches in villages with a better infrastructure, where it is easier for farmers to sell their products (or, in contrast, deliberately open branches in villages in remote areas). If the researcher then tries to measure the impact of microcredit by comparing microcredit borrowers from the village where the branch has been opened with a comparison group of nonborrowers in another village, the estimate will probably suffer from programme placement bias. 3 Some microfnance borrowers may after some time decide to leave the microfnance programme because they do not need credit anymore or be kicked out of the microfnance programme if they were not able to repay their debts. A researcher who tries to measure the impact of microcredit by comparing the group of extant borrowers with a comparison group may obtain a biased impact estimate due to attrition bias, because the best (or the worst) microcredit borrowers are no longer taken into account in the comparison. More recently, impact studies on microcredit have started using better methodologies to control for self-selection and programme placement biases. Several studies have used randomized controlled trials (RCTs) to measure the impact of microcredit (see Box 3.5). With an RCT, researchers study the impact of microcredit by using randomized assignments to an intervention. That is, who will (and will not) obtain access to microcredit is determined via a lottery. In theory, this procedure should produce equivalent control and treatment groups and thereby controls for selection biases. Banerjee, Karlan, and Zinman (2015) discuss the results of six RCTs. These studies show consistent results: (access to) microcredit has a positive yet relatively small impact on people’s lives and fails to raise households out of poverty. Dahal and Fiala (2020), however, show that most recent RCTS on microcredit, including the six studies discussed by Banerjee et al. (2015), are underpowered to identify impacts, for example, due to low uptake. They conclude that we still don’t know whether microcredit is effective. Also, Garcia, Lensink, and Voors (2020), in a quasi-experimental study in Sierra Leone, fnd that microcredit provided via a group lending scheme could enhance the aspirations and hopes of borrowers and hence may improve long-term welfare by reducing internal psychological constraints. Given that most microfnance borrowers are women, microcredit may have a specifc impact on women. The provision of microcredits to female entrepreneurs arguably helps to create a stable income for women, which may be instrumental in breaking the vicious cycle of poverty. Access to microcredit would result in greater income independence for women and help improve women’s empowerment. However, over the past decades, Chapter 3 • Microfnance and development 65 several studies have criticized the assumed positive impact of microcredit on women’s empowerment. Some studies even argue that women’s involvement in microcredit programmes can result in their disempowerment (Vaessen et al., 2014). Sometimes targeting only women shifts the burden of fnancial responsibilities in the household onto women, without improving their control over expenditures (which will stay with the husband). Hansen, Huis, and Lensink (in press) provide an overview of the discussion of microfnance services and women’s empowerment. In conclusion, we don’t have unambiguous answer to the question whether microcredit has a positive impact on the welfare of the poor. The time horizon of several impact studies has likely been too short, given that impacts may take time to materialize. However, clearly there is an inverse relationship between the ‘rigour’ of the impact study and the size of the impact of microcredit on outcomes. The more a study tries to control for biases, the less positive the results seem to be. However, it also appears that the recent severe criticisms of microcredit, just like the earlier overenthusiastic claims about the potential contributions of microcredit, have been exaggerated. At the same time, access to microcredit will not be a panacea that can reduce worldwide poverty. BOX 3.5 Randomized controlled trials: the golden standard of impact evaluations? Several quantitative research designs have been used to measure the impact of microfnance. Examples of methodologies include regression discontinuity, difference-in-difference approaches, propensityscore-matching approaches, and randomized controlled trials (RCTs). The evaluation methods differ in several respects, but they all try to deal with the problem of missing counterfactuals, by defning a comparison or control group. According to Gertler et al. (2011), a highquality impact evaluation needs to defne a control group as one that 1 Is identical to the treatment group, without intervention. 2 Reacts equally as the treatment group to the intervention. 3 Is exposed to the same set of (other) external interventions as the treatment group is. The RCT approach determines treatment and control groups by assigning (groups of) households to the intervention by lottery. This approach, under some conditions, produces equivalent control and treatment groups. In theory, RCTs provide the best opportunity to rigorously address causality questions. This is why RCTs are often seen as the gold standard of impact evaluations. However, in practice, the conditions for ideal RCTs almost never hold (Deaton, 2010) for several reasons, such as ethical concerns. The main advantage of randomization is that it removes bias, and thus, if correctly applied, RCTs lead to an impact estimate, which 66 Niels Hermes and Robert Lensink is correct on average. Yet randomization does not always produce the most useful estimator. For example, the precision of the estimator might be low, so the standard error of the unbiased estimator is high. Deaton and Cartwright (2016) argue that in some situations, a more accurate impact estimate (e.g. of microcredit) can be obtained by trading in some bias for greater precision. In other words, rather than using an RCT which avoids ‘biases’, it is sometimes better to use impact evaluation designs that improve precision (reduce variances). Notwithstanding the criticisms that RCTs have received, this methodology has been widely accepted in research nowadays, sometimes considered the golden standard of impact evaluations. In 2019, Abhijit Banerjee and Esther Dufo received the Nobel Memorial Prize for Economic Sciences for their research on evaluating programmes that aim to alleviate poverty. In their work, they extensively use RCTs, among other methods, to evaluate the impact of microfnance programmes. 3.5.2 Impact of microfnance, other than microcredit Some studies have examined the impact of microsavings. However, only a few of them focused on impacts of savings on social outcomes; most of the studies considered a specifc savings product and focused on the uptake of this product or on impacts in terms of total savings. A well-known example is the study by Ashraf, Karlan, and Yin (2006). It focused on the impact of a newly developed savings product offered by the Green Bank of Caraga, a microfnance bank in the Philippines. A specifc characteristic of the savings product, known as SEED (save, earn, enjoy, deposits), was that savers were not allowed to withdraw any of their savings before they had reached a certain goal. The study shows that the commitment savings product leads to much higher savings than does a normal savings account. Some savings studies consider the impact of microsavings on women’s empowerment. An interesting example is the study by Ashraf, Karlan, and Yin (2010), who consider the same commitment savings product as Ashraf et al. (2006) did. The study suggests that women who suffer from low bargaining power are able to improve their bargaining power substantially by using the commitment savings account. An example of a microsavings study that considers the impact on different social outcomes is Karlan, Savonitto, Thuysbaert, and Udry (2017). Using a randomized controlled trial, they examined the impact of microsavings programmes in Ghana, Malawi, and Uganda. These programmes promote and develop the (informal) Village Savings and Loan Association (VSLA). The study suggests that the savings programmes in the three countries signifcantly improved household business outcomes and women’s empowerment. However, it does not fnd positive impacts on average consumption or other livelihoods. To conclude, in general, studies suggest that savings services have a more positive impact on the poor than Chapter 3 • Microfnance and development 67 microcredit has. However, the empirical evidence is still limited and only a few focus on the effects on social outcomes, implying that the positive fndings should be considered with caution (see also Duvendack & Mader, 2019). There is also some mixed evidence on the impact of microfnance plus, especially in the impact of business trainings on microfnance clients. McKenzie and Woodruff (2014) surveyed the ‘old’ literature. Their study suggests that business training sessions do not have a big impact on economic outcomes. However, they also argue that most studies they surveyed suffer from major methodological problems. Some more-recent studies also provide mixed evidence, such as Karlan and Valdivia (2011). Other recent studies are much more positive about the impact of business training sessions. For instance, Giné and Mansuri (2014); Berge, Bjorvatn, and Tungodden (2015); and Bulte, Lensink, and Vu (2017) report substantial effects. Bulte et al. (2017) even strongly argue that investments in human capital (i.e. business trainings) may usefully complement microcredit. 3.6 CONCLUSION In this chapter, we discussed the role of microfnance in promoting inclusive growth. We started by defning the concept of microfnance and discussed how it evolved over the past decades. Next, we focused on the supply side of microfnance. We discussed their two main objectives, outreach and fnancial sustainability, and explained that reaching both objectives simultaneously may be diffcult in practice. We also surveyed the recent literature dealing with the determinants of fnancial sustainability and outreach of MFIs. Several studies have analysed whether there is a trade-off between fnancial and social goals of MFIs. Yet the literature does not provide a clear-cut answer to this question. The safest conclusion is to say that it depends on the context and on the way fnancial and social goals have been measured. We continued by discussing the importance of commitment and fexibility as the main features of fnancial products offered to the poor. Particularly for the poor, the infows and outfows of funds are sometimes diffcult to manage. Infows are small, irregular, and uncertain; outfows are sometimes regular, sometimes irregular, and sometimes lumpy. Flexible fnancial products in terms of the payment of interest costs and loan instalments and making deposits to a savings account (i.e. being able to make deposit at any time and of any size) would help the poor in better managing their infows and outfows, thereby increasing their welfare. At the same time, fnancial products that provide commitments in terms of regular interest payments, repayments of loans, or depositing savings would help the poor as well, because they are instrumental in making sure that they keep on making regular payments and savings. Finally, we turned to the demand side of microfnance by discussing what we know about the impact of microfnance on the poor’s well-being. Analysing this is generally hard, mainly because a counterfactual is not readily available: we usually have no information about what would have 68 Niels Hermes and Robert Lensink happened if no microfnance was available. However, during recent years, researchers have developed methods to get around this problem by using RCTs. Researchers using this method create treatment and control groups by randomly assigning (groups of) households to a specifc intervention, such as providing a microcredit. The random assignment, under certain conditions, produces treatment and control groups with the same, or at least very similar, characteristics. In this way, the control group can serve as the counterfactual to analyse the impact of providing microcredit to the treatment group. During the past few years, many RCTs have been carried out, and most studies have shown consistent results: (access to) microcredit has a positive yet relatively small impact on people’s lives. Therefore, microfnance fails to raise households out of poverty. The results from RCTs’ analysing the impact of savings products and microfnance plus are more positive. In particular, studies have shown that offering savings to the poor can help them to improve their lives. At the same time, however, access to microfnance will not be a panacea that can reduce worldwide poverty. Discussion questions 1 What are the two main objectives of MFIs? What is meant by the microfnance promise (Morduch, 1999)? Why is it diffcult in practice for MFIs to combine their two main objectives? 2 In discussions about the existence of a trade-off between the two main objectives of MFIs, two views, or approaches, are prominent: the fnancial systems approach and the poverty-lending approach (Robinson, 2001; Schreiner, 2002). What is the main argument of both these views regarding the existence of a trade-off? 3 What do we mean by mission drift of MFIs? Why does this occur? 4 Why are commitment and fexibility important features of fnancial services such as savings accounts and loans for microfnance clients? Are these features more or less important for poor people visà-vis rich people? 5 In many large cities in developing economies, poor people earn income by selling food or artisanal 6 7 8 9 10 11 products on the streets. According to you, what type of fnancial services would best serve the needs of these poor people? In particular, what kind of characteristics should these services need to have? In your discussion, describe the nature of the poor’s fnancial infows and outfows, and link this description to your discussion of the fnancial services that MFIs should offer to them. What is meant by a randomized control trial? Why do some people argue that RCTS are the golden standard of impact evaluations? Do you agree? Discuss the evidence on the impact of microcredit. What does selection bias mean? Differentiate between different forms of selection bias. Why might joint liability group lending reduce adverse selection and moral hazard problems? Explain the difference between microcredit, microfnance, and microfnance plus. Chapter 3 • Microfnance and development 69 Notes 1 The Microcredit Summit Campaign is an American nonproft organization that was founded in 1997 by Muhammad Yunus (founder of Grameen Bank), Sam Daley-Harris (US-American writer and activist), and John Hatch (US-American development economist and founder of FINCA International, a nonproft microfnance organization). The organization brings together several different parties involved in microcredit, such as microcredit practitioners, academics, donor agencies, international fnancial institutions, and NGOs, to promote the use of microcredit as an instrument to reduce poverty around the globe. At the start of the organization, a campaign was launched that aimed at reaching a billion poor families and provide them access to credit by 2005. The campaign has been instrumental in getting attention for microfnance as an instrument to reduce poverty and has contributed to the growth of the use of microfnance worldwide. 2 This section is based on Hermes and Hudon (2018). 3 Outreach refers to the number of poor people that an MFI can provide services to. The outreach of microfnance is not the same as the impact of microfnance, which refers to the effect that access to services has on the welfare of poor people. The impact of microfnance will be discussed in section 5. 4 D Espallier et al. (2013) use data for one year (2010) for almost 1,100 MFIs; Cull et al. (2018) use data for 2005–2009 for 1,335 MFIs. Both studies use slightly different methods of calculating the subsidies that MFIs receive. The differences with respect to sample size, time period, and method of calculating may explain why both studies show different fndings regarding the importance of subsidies for MFIs. 5 Since most product innovation in microfnance have been introduced quite recently and have been applied only by a relatively few MFIs around the world, a comprehensive evaluation of their performance vis-à-vis the performance of standard microfnance products is currently not available. References Adhikary, S., & Papachristou, G. (2014). Is there a trade-off between fnancial performance and outreach in South Asian microfnance institutions? The Journal of Developing Areas, 381–402. Armendáriz, B., & Labie, M. (2011). The handbook of microfnance. Singapore (SG): World Scientifc Publishing Co. Pte. Ltd. ISBN 139789814295659. Armendáriz, B., & Morduch, J. (2010). The economics of microfnance. Cambridge, MA: MIT Press. Armendáriz, B., & Szafarz, A. (2011). On mission drift in microfnance institutions. In The handbook of microfnance (pp. 341–366). Singapore: World Scientifc. Ashraf, N., Karlan, D., & Yin, W. (2006). Tying Odysseus to the mast: Evidence from a commitment savings product in the Philippines. The Quarterly Journal of Economics, 121(2), 635–672. Ashraf, N., Karlan, D., & Yin, W. (2010). Female empowerment: Impact of a 70 Niels Hermes and Robert Lensink commitment savings product in the Philippines. World Development, 38(3), 333–344. Banerjee, A., Karlan, D., & Zinman, J. (2015). Six randomized evaluations of microcredit: Introduction and further steps. American Economic Journal: Applied Economics, 7(1), 1–21. Bateman, M. (2010). Why doesn’t microfnance work? The destructive rise of local neoliberalism. London: Zed Books Ltd. Bauchet, J., Marshall, C., Starita, L., Thomas, J., & Yalouris, A. (2011). Latest fndings from randomized evaluations of microfnance. In Access to fnance forum: CGAP, fnancial access initiative, innovations for poverty action, Abdul Latif Jameel poverty action lab (Vol. 2). Washington, DC: Consultative Group to Assist the Poor (CGAP)/The World Bank. Berge, L. I. O., Bjorvatn, K., & Tungodden, B. (2015). Human and fnancial capital for microenterprise development: Evidence from a feld and lab experiment. Management Science, 61(4), 707–722. Bulte, E., Lensink, R., & Vu, N. (2017). Do gender and business trainings affect business outcomes? Experimental evidence from Vietnam. Management Science, 63(9), 2885–2902. Caudill, S. B., Gropper, D. M., & Hartarska, V. (2009). Which microfnance institutions are becoming more cost effective with time? Evidence from a mixture model. Journal of Money, Credit and Banking, 41(4), 651–672. CGAP. (2014). Insights into action: What human-centered design means for fnancial inclusion. Retrieved from file:///X:/My%20Downloads/ CGAP_Insights_into_Action_fnal%20 (1).pdf Coleman, B. E. (1999). The impact of group lending in Northeast Thailand. Journal of Development Economics, 60(1), 105–141. Collins, D., Morduch, J., Rutherford, S., & Ruthven, O. (2009). Portfolios of the poor: How the world’s poor live on $2 a day. Princeton: Princeton University Press. Copestake, J. (2007). Mainstreaming microfnance: Social performance management or mission drift? World Development, 35(10), 1721–1738. Cull, R., Demirguç‐Kunt, A., & Morduch, J. (2007). Financial performance and outreach: A global analysis of leading microbanks. The Economic Journal, 117(517), F107–F133. Cull, R., Demirgüç-Kunt, A., & Morduch, J. (2018). The microfnance business model: Enduring subsidy and modest proft. World Bank Economic Review, 32(2), 221–244. Dahal, M., & Fiala, N. (2020). What do we know about the impact of microfnance? The problems of power and statistical precision. World Development, 128. Deaton, A. (2010). Instruments, randomization, and learning about development. Journal of Economic Literature, 48(2), 424–455. Deaton, A., & Cartwright, N. (2016). Understanding and misunderstanding randomized controlled trials. NBER Working Paper Series No. 22595. Cambridge, MA: National Bureau of Economic Research. D’Espallier, B., Hudon, M., & Szafarz, A. (2013). Unsubsidized microfnance institutions. Economics Letters, 120(2), 174–176. Dupas, P., & Robinson, J. (2013). Why don’t the poor save more? Evidence from health savings experiments. American Economic Review, 103(4), pp. 1138–1171. Duvendack, M., & Mader, P. (2019). Impact of fnancial inclusion in lowand middle-income countries. Campbell Systematic Reviews, 15. Duvendack, M., Palmer-Jones, R., Copestake, J. G., Hooper, L., Loke, Y., & Rao, N. (2011). What is the evidence of the impact of microfnance on the well-being of poor people? London: EPPI-Centre, Social Science Research Unit, Institute of Education, University of London. Fall, F., Akim, A. M., & Wassongma, H. (2018). DEA and SFA research on the effciency of microfnance institutions: A meta-analysis. World Development, 107, 176–188. Chapter 3 • Microfnance and development Field, E., Pande, R., Papp, J., & Park, Y. J. (2012). Repayment fexibility can reduce fnancial stress: A randomized control trial with microfnance clients in India. PloS One, 7(9), e45679. Field, E., Pande, R., Papp, J., & Rigol, N. (2013). Does the classic microfnance model discourage entrepreneurship among the poor? Experimental evidence from India. American Economic Review, 103(6), 2196–2226. Garcia, A., & Lensink, R. (2019). Microfnance-plus: A review and avenues for research. A Research Agenda for Financial Inclusion and Microfnance, 111. Garcia, A., Lensink, R., & Voors, M. (2020). Does microcredit increase aspirational hope? Evidence from a group lending scheme in Sierra Leone. World Development, 128. Gertler, P. J., Martinez, S., Premand, P., Rawlings, L. B., & Vermeersch, C. M. J. (2011). Impact evaluation in practice. Washington, DC: The World Bank. Giné, X., & Mansuri, G. (2014). Money or ideas? A feld experiment on constraints to entrepreneurship in rural Pakistan. Washington, DC: The World Bank. Guinnane, T. W. (2002). Delegated monitors, large and small: Germany’s banking system, 1800–1914. Journal of Economic Literature, 40(1), 73–124. Hansen, N., Huis, M., & Lensink, R. (in press). Microfnance services and women’s empowerment. In S. J. Leire, J. L. Retolaza, & L. Van Liedekerke (Eds.), International handbooks in business ethics: Handbook on ethics in fnance. New York: Springer. Hartarska, V. (2005). Governance and performance of microfnance institutions in Central and Eastern Europe and the newly independent states. World Development, 33(10), 1627–1643. Hartarska, V., Nadolnyak, D., & Mersland, R. (2014). Are women better bankers to the poor? Evidence from rural microfnance institutions. American Journal of Agricultural Economics, 96(5), 1291–1306. 71 Hartarska, V., Shen, X., & Mersland, R. (2013). Scale economies and input price elasticities in microfnance institutions. Journal of Banking & Finance, 37(1), 118–131. Hermes, N., & Hudon, M. (2018). Determinants of the performance of microfnance institutions: A systematic review. Journal of Economic Surveys, 32(5), 1483–1513. Hermes, N., Lensink, R., & Meesters, A. (2011). Outreach and effciency of microfnance institutions. World Development, 39(6), 938–948. Hudon, M., & Sandberg, J. (2013). The ethical crisis in microfnance: Issues, fndings, and implications. Business Ethics Quarterly, 23(4), 561–589. Karlan, D., McConnell, M., Mullainathan, S., & Zinman, J. (2016). Getting to the top of mind: How reminders increase saving. Management Science, 62(12), 3393–3411. Karlan, D., Savonitto, B., Thuysbaert, B., & Udry, C. (2017). Impact of savings groups on the lives of the poor. Proceedings of the National Academy of Sciences, 114(12), 3079–3084. Karlan, D., & Valdivia, M. (2011). Teaching entrepreneurship: Impact of business training on microfnance clients and institutions. Review of Economics and Statistics, 93(2), 510–527. Labie, M., Laureti, C., & Szafarz, A. (2017). Discipline and fexibility: A behavioural perspective on microfnance product design. Oxford Development Studies, 45(3), 321–337. Laureti, C., & Hamp, M. (2011). Innovative fexible products in microfnance. Savings and Development, 35(1), 97–129. Lensink, R., & Bulte, E. (in press). Can we improve the impact of microfnance? A survey of the recent literature and potential avenues for success. In A. N. Berger, P. Molyneux, & J. O. Wilson (Eds.), Oxford handbook of banking. Oxford: Oxford University Press. Louis, P., & Baesens, B. (2013). Do forproft microfnance institutions achieve better fnancial effciency and social 72 Niels Hermes and Robert Lensink impact? A generalised estimating equations panel data approach. Journal of Development Effectiveness, 5(3), 359–380. Louis, P., Seret, A., & Baesens, B. (2013). Financial effciency and social impact of microfnance institutions using self-organizing maps. World Development, 46, 197–210. McKenzie, D., & Woodruff, C. (2014). What are we learning from business training and entrepreneurship evaluations around the developing world? The World Bank Research Observer, 29(1), 48–82. Mersland, R., & Strøm, R. Ø. (2010). Microfnance mission drift? World Development, 38(1), 28–36. Morduch, J. (1999). The microfnance promise. Journal of Economic Literature, 37(4), 1569–1614. Pitt, M. M., & Khandker, S. R. (1998). The impact of group-based credit programs on poor households in Bangladesh: Does the gender of participants matter? Journal of Political Economy, 106(5), 958–996. Reichert, P. (2018). A meta-analysis examining the nature of trade-offs in microfnance. Oxford Development Studies, 20, 1–23. Robinson, M. S. (2001). The microfnance revolution: Sustainable fnance for the poor. Washington, DC: The World Bank. Roodman, D., & Morduch, J. (2014). The impact of microcredit on the poor in Bangladesh: Revisiting the evidence. Journal of Development Studies, 50(4), 583–604. Schreiner, M. (2002). Aspects of outreach: A framework for discussion of the social benefts of microfnance. Journal of International Development, 14(5), 591–603. Servin, R., Lensink, R., & Van den Berg, M. (2012). Ownership and technical effciency of microfnance institutions: Empirical evidence from Latin America. Journal of Banking & Finance, 36(7), 2136–2144. Tchakoute-Tchuigoua, H. (2012). Active risk management and loan contract terms: Evidence from rated microfnance institutions. The Quarterly Review of Economics and Finance, 52(4), 427–437. Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale: Yale University Press. Townsend, R. M., & Yaron, J. (2002). An Asian development bank: Credit risk contingency and the subsidy dependence index. Savings and Development, 227–258. Vaessen, J., Rivas, A., Duvendack, M., Jones, R. P., van Gils, G., Lukach, R., . . . Huband, N. (2014). The effects of microcredit on women’s control over household spending in developing countries: A systematic review and meta‐analysis. Campbell Systematic Reviews, 10(1), 1–205. Van Rooyen, C., Stewart, R., & De Wet, T. (2012). The impact of microfnance in sub-Saharan Africa: A systematic review of the evidence. World Development, 40(11), 2249–2262. CHAPTER 4 Private capital fows and economic growth Elikplimi Komla Agbloyor, Alfred Yawson, and Pieter Opperman 4.1 INTRODUCTION External fnance in the form of private capital fows have recently increased considerably to developing regions such as Africa (see Figure 4.1). The increasing trend in private capital fow levels was initially necessitated by the region’s comparatively high returns on investment compared with other regions (Asiedu, 2002), high level of poverty, and low level of income and domestic savings, and many African policymakers and developmental partners promote private capital fows to spur investment and growth. Apart from external fnance, other potential sources to fnance development include the use of income from export earnings, increasing government revenue through taxation, and domestic investment (accessing domestic savings through an effcient fnancial system). A key problem for developing countries is that most of these other potential sources for fnancing development are limited. This necessitates relying on external fnance to increase the pool of capital available for development. For example, many African countries’ export earnings are highly commodity dependent, where a slump in commodity prices adversely affects the current account balance, thus suppressing development plans. Further, a low tax base mainly because of the large informal sector in Africa hampers domestic-resourcemobilization capabilities, limiting the possibility of governments’ increasing revenue through taxation. Further, compared with other developing regions, African countries are characterized by low levels of domestic savings with underdeveloped and ineffcient fnancial systems. By attracting private capital fows, countries with insuffcient domestic savings can access an external pool of savings. Through this, countries can accomplish the following: 1 2 3 4 Resource allocation effciency can be enhanced. Technology and management transfer can be facilitated. Welfare-enabling current account imbalances can be fnanced. Portfolio diversifcation can ensue. Increased private capital fows could also lead to indirect benefts, including fnancial sector development, enhanced trade, macroeconomic policy discipline/stability, and economic effciency (IMF, 2012). When private 74 Elikplimi Komla Agbloyor et al. capital fows are allocated effciently through fnancial markets to fnance innovations, that may be because of technology transfer, the improved capital accumulation, and technology diffusion can promote economic growth. However, private capital infows also present a double-edged sword for host economies. Private capital infow surges cause infationary pressures and capital account defcits expose economies to external shocks. Once capital retrenchment follows, a deterioration of economic activity and welfare losses as a result of consumption volatility could ensue (Shirota, 2015). The excessive expansion of aggregate demand or overheating of the economy can occur as a result of asset price distortions resulting from signifcant private capital infows. Apart from infationary pressures and widening current account defcits, a real exchange rate appreciation, which can render a host economy’s exports less competitive, is a further concern associated with private capital infow surges. Private capital infows can result in fnancial system vulnerability. An increase in external debt and a rise in excessive bank lending can worsen maturity mismatch between bank assets and liabilities, inducing poor loan quality. Maturity mismatch occurs when bank assets become less liquid than their liabilities. When banks rely more on external fnance as opposed to their own capital, the potential withdrawal of foreign capital increases maturity mismatch and fnancial stability concerns. Debts denominated in foreign currency increases developing countries’ fnancial risks, because fnancing occurs in foreign currency. These debts infamed the impact of emerging market fnancial crises such as the 1994 Mexican tequila crisis, the 1998 Russian rouble crisis, and the late 1990s East Asian crisis (Eichengreen & Hausman, 1999). Indeed, developing countries are exposed to the phenomenon of ‘original sin’ in that they borrow in foreign currencies over which they have no control. This exposes them to exchange rate fuctuations or exchange rate risk. Important variations exist in the various components of private capital fows (foreign direct investment, foreign bank lending, and foreign portfolio investment), and lumping these fnancial fows together to examine their determinants or impact may lead to wrong policy choices. Although foreign direct investment (FDI) and portfolio equity investment differ, since the former is linked to ownership and control, both fows differ from foreign debt that creates liabilities that must be repaid. The main private capital fows also transmit through separate markets where the levels of organization and liquidity vary greatly. With fnancial instrument transactions – such as bank lending and foreign portfolio investment (FPI) – there are usually many buyers and sellers, standardized contracts, and prices that are publicly available with a market structure often approximating perfect competition. Conversely, FDI is often not observed in fnancial markets but is rather the consequence of fnancial and industrial decisions that are internal to frms that could have real implications possibly unrelated to fnancial variables (Contessi, De Pace, & Francis, 2013). The various types of capital fow exhibit different levels of volatility and respond differently to fnancial liberalization (Neumann, Penl, & Tanku, 2009). Although global factors were signifcant determinants of the volatility of capital fows, the work of Broto, Diaz-Cassou, & Erce (2011) Chapter 4 • Private capital fows and economic growth 75 revealed conficting evidence about the infuence of domestic factors on the volatility of capital fows. In sub-Saharan Africa, global and domestic factors affected FDI and portfolio equity volatility, whereas only domestic factors affected cross-border bank lending volatility (Opperman & Adjasi, 2017). FDI volatility is, on average, less than FPI and cross-border bank lending volatility. FDI is considered more stable and permanent because of a larger initial investment and the associated fxed entry costs. In essence, FDIs are considered ‘bolted’ and cannot be easily ‘unscrewed’ or reversed. Figure 4.1 shows that FPI appears more volatile than the other capital fows and has been especially since 2010. This could be in response to global investors’ pulling their investments after the global fnancial crisis of 2007/2008. The literature shows that the differences between FDI volatility and FPI volatility are much lower in developed countries than in developing countries (Goldstein & Razin, 2006). Along with FPI, cross-border bank lending fows are considered highly volatile, infuencing the macroeconomic and fnancial stability of developing economies (Herrmann & Mihaljek, 2013). FPI and cross-border banking fows are often referred to as ‘hot money’ – that is, global fows extremely sensitive to interest rate differences, expected returns, and future growth prospects. These volatile capital fows could be induced by a small shock to the economy that worsens the shock and can disrupt the local economy. It is therefore important to consider the heterogeneous nature of different private capital fow types. FDI is defned as investment that acquires a lasting management interest (10% or more of voting stock) in an enterprise that operates in a different economy than that of the investor, and direction is classifed as either inward FDI or outward FDI. FDI by entry mode can be classifed into Greenfeld investments or cross-border mergers and acquisitions (M&As). With FIGURE 4.1 Trends in private capital fows to Africa, 2000–2016 Source: Generated by authors on the basis of data from the World Development Indicators 76 Elikplimi Komla Agbloyor et al. Greenfeld investments, foreign enterprises set up operations in the domestic economy from scratch (e.g. constructing new production facilities), whereas with cross-border M&As, foreign enterprises merge or acquire an existing stake in a domestic enterprise. Although M&As comprise most of FDI fows in developed countries, their uptake and importance have increased in developing regions, such as Africa (Agbloyor, Abor, Adjasi, & Yawson, 2012). FDIs by target can be classifed as either a horizontal FDI or vertical FDI. With a horizontal FDI, the investment is made in the same industry at a foreign location, thereby duplicating the production process, whereas with a vertical FDI, the different stages of production are located in different countries. Vertical FDI can be classifed as either forward vertical or backward vertical. With forward vertical, FDI takes the frm nearer to the market, whereas with backward vertical, international integration moves towards the required production inputs. The literature on FDIs by motive can be classifed as resource seeking, market seeking, effciency seeking, and strategic-asset seeking (Ajayi, 2006). Resource-seeking FDI investors pursue resources at a lower real cost abroad that is often not available at home. Resources include natural resources or low-cost labour, and resource-seeking FDIs are predominantly export oriented. Market-seeking FDIs pursue market share in target foreign markets to reduce the cost of supplying a market. Effciency-seeking FDIs attempt to establish effcient structures by producing in as few countries as possible, each country having its own distinct advantage relating to location, endowment, and government policies. The motive for strategic-asset-seeking FDIs is to locate where assets in foreign frms can be acquired that promote long-term objectives (e.g. to beneft from current and future research and development). The top countries in Africa in relation to net FDI infows in 2016 were Egypt, Nigeria, Angola, Ethiopia, Ghana, Mozambique, Morocco, South Africa, the Republic of the Congo, and Algeria (see Appendix Table 4.1). Appendix Table 4.1 also shows the countries that received the least FDI fows in 2016. The literature’s use of aggregate credit measures of bank lending has been differentiated on the basis of the origin of the bank’s nationality (domestic or foreign) and type (cross-border or affliate). Foreign bank lending by type can be defned as either cross-border bank lending (lending by foreign banks directly from abroad) or as foreign-bank-affliate lending (lending by branches and subsidiaries of foreign banks from the host economy) (Owen & Temesvary, 2014). An important component of the expansion of private capital fows to developing countries has been foreign bank lending, be it through cross-border bank lending or through bank lending by these banks’ foreign affliates (Pontines & Siregar, 2014). Past decades have witnessed an unequalled increase in cross-border bank fows, and many banks (from developed and developing economies) have ventured abroad. The increase in foreign bank presence has potentially been the most transformative change that the ongoing process of fnancial globalization has exerted on the fnancial sectors of developing economies (Cull & Peria, 2010). Nevertheless, the effect of foreign bank presence on fnancial sector development remains contentious. Foreign banks can improve the availability and quality Chapter 4 • Private capital fows and economic growth 77 of fnancial services in the host economy through increasing competition and the introduction of new lending technologies. A potential cost of increasing foreign bank presence could be incurred when foreign banks focus on the top segment of the market, so local entrepreneurs receive less access to fnancial services. The top countries in cross-border banking lending (proxied by external debt) in Africa in 2016 were Egypt, Angola, South Africa, Kenya, Ethiopia, Nigeria, Mauritius, Morocco, Ghana, and Tanzania (see Appendix Table 4.1). Various foreign banks operate in Africa (see Box 4.5). FPI is usually short-term passive investment that does not actively participate in the day-to-day operations and strategic initiatives of local frms. Investments are made in capital market assets, including bonds, debentures, and equity stocks, and investors target return maximization without having management control in the principal asset. The top countries in portfolio investments in Africa in 2016 were Mauritius, Burkina Faso, Kenya, Morocco, Mozambique, Zimbabwe, Uganda, Cameroon, Tunisia, and Seychelles (see Appendix Table 4.1). The rest of this chapter is structured as follows: section 4.2 discusses determinants of private capital fows; section 4.3 provides the benefts and costs associated with private capital fows; and section 4.4 concludes. 4.2 THE DETERMINANTS OF PRIVATE CAPITAL FLOWS The literature usually distinguishes between pull and push factors to categorize the determinants of capital fows. Pull factors are associated with the domestic policies and characteristics of host economies that pull capital into a country, refecting the host economy’s relative appeal as an investment destination. Pull factors include the domestic growth potential, low domestic infation, trade and fnancial openness, fnancial market development, infrastructural quality, institutional quality, political stability and absence of confict, domestic market size, and natural resource base. Figure 4.2 shows the correlation between institutional quality and capital fows (-0.75). Overall, it seems that capital fows go to countries with poor institutions and vice versa. Figure 4.3 also shows the relationship between natural resource rents and total capital fows. Total capital fows and natural resources are positively correlated (0.41). This implies that countries with natural resources tend to receive higher capital fows. Thus, natural resources tend to pull capital fows into host African countries. Push factors are associated with global economic conditions that drive capital fows towards countries and include global growth, global liquidity, global risk aversion, and international portfolio diversifcation. Therefore, pull factors are internal to countries that receive capital fows and push factors are external to these countries. If pull factors are the main determinant of capital fows to a recipient economy, then well-designed prudent macroeconomic policies should limit the potential negative effects that these fows can have on fnancial imbalances. However, domestic macroeconomic policies have little potential to limit the negative effects of capital fows’ arising from global push factors, because these factors are beyond the control of the recipient economy. 78 Elikplimi Komla Agbloyor et al. FIGURE 4.2 Scatter plot between capital fows and GDP per capita, 2000–2016 Panel A: FDI, Portfolio Investments, and Institutions Source: Generated by authors on the basis of data from the World Development Indicators Note: Correlation between FDI and institutions is -0.57; the correlation between portfolio investments and institutions is 0.05 Panel B: External Debt, Capital Flows, and Institutions Source: Generated by authors on the basis of data from the World Development Indicators Note: The correlation between cross-border bank lending (proxied by external debt) and institutions is -0.73; the correlation between capital fows and institutions is -0.75 4.2.1 FDI determinants Apart from the general divide into push factors and pull factors that determine capital fows, a more specifc FDI determinants literature strand covers the following (Sánchez-Martín, de Arce, & Escribano, 2014): 1 The neoclassical economic approach. 2 The ownership, location, and internalization advantage (OLI) paradigm. 3 Horizontal and vertical FDI models. Chapter 4 • Private capital fows and economic growth 79 FIGURE 4.3 Scatter plot between capital fows and CO2 emissions, 2000–2016 Panel A: FDI, Portfolio Investments, and Natural Resource Rents Source: Generated by authors on the basis of data from the World Development Indicators. Note: The correlation between FDI and natural resource rent is 0.67; the correlation between portfolio investment and natural resource rent is -0.07. Panel B: External Debt, Capital Flows (Total), and Natural Resource Rents Source: Generated by authors on the basis of data from the World Development Indicators Note: The correlation between cross-border bank lending (proxied by external debt) and natural resource rent is -0.01; the correlation between capital fows (total) and natural resource rent is 0.41 4.2.1.1 THE NEOCLASSICAL ECONOMIC APPROACH The standard neoclassical economic approach predicts that in the presence of perfect factor mobility, capital would fow from rich to poor countries pending the return to investments equalizing in all countries. New investment should occur in countries that exhibit low capital-to-labour ratios as implied by the law of diminishing returns to capital. The standard approach offers a preliminary 80 Elikplimi Komla Agbloyor et al. insight regarding FDI determinants, given that the prominence of differences in factor endowments and returns to capital across countries are suggested. The seminal work of Lucas (1990) introduced the Lucas paradox, highlighting that, rather than following a ‘north–south’ pattern, capital fows follow a ‘north-north’ pattern. Lucas (1990) demonstrated that according to the neoclassical economic approach, India’s marginal product of capital should be approximately 58 times greater than that of the US, with all capital fowing to India. Notwithstanding considerable increased capital fows recently, international capital mobility remains imperfect. Some reasons put forward about why the standard neoclassical economic approach does not accurately predict international capital fow patterns include the presence of economies of scale, backward and forward linkages, differences in regulations, and systemic distortions between countries (Sánchez-Martín et al., 2014). 4.2.1.2 THE OLI PARADIGM From a microeconomic perspective, Dunning’s (1977) OLI paradigm provides an analytical framework that accommodates a variety of testable theories of FDI determinants and the international activities of multinational enterprises (MNEs). The OLI paradigm states that the degree, geography, and manufacturing structure of MNEs’ international production is determined by the interaction and combination of ownership, location, and internalization advantages. Ownership advantages are existing frm-specifc and knowledge-based assets (e.g. patents, management skills, and marketing) that provide MNEs with advantages in foreign markets over local frms. Ownership advantages therefore refer to the competitive advantages of MNEs that give them an edge over domestic counterparts in foreign markets. Location advantages are the attractions of alternative countries or regions where MNEs seek to engage in value-enhancing activities (e.g. access to protected markets, better tax treatments, favourable competition structure, institutions, political risk, and natural resources). Figure 4.2 shows a negative correlation (-0.57) between FDI and the quality of institutions. This means that countries with poor institutions receive higher FDI fows than do countries with good institutions. This is puzzling: the observed correlation may be because MNEs may be able to negotiate better terms and have more fexibility to operate (e.g. polluting the environment). On the other hand, Figure 4.3 shows that FDI is positively correlated (0.67) with natural resources in Africa. This suggests that MNEs consider the natural resource endowment of a country before they make FDI decisions. The more immobile (natural or created) endowments MNEs need to exploit, in combination with their competitive advantage that favours an international presence, the more MNEs will choose to exploit their ownership advantages through pursuing FDI (Dunning, 2000). One signifcant determinant of FDI is political risk – an extreme form being confict. Countries that are plagued by confict are likely to receive less FDI. Confict creates uncertainty in planning: most studies on the impact of confict on international business found that confict in host countries negatively impacts the economy through disruptions of production, corruption, Chapter 4 • Private capital fows and economic growth 81 and transportation (Chen, 2017). FDI may reduce the probability of confict. This is because of the economic benefts that FDI provides, such as the creation of new jobs, which reduces the probability that young men can be recruited by warlords. This suggests that there is a bicausal relationship between FDI and confict. Akomatey (2017) examines the relationship between FDI and confict in Africa. The fndings show that FDI infows signifcantly reduce the likelihood of confict among countries in sub-Saharan Africa. For instance, FDI infows to host countries help its citizens, who are destitute and unemployed, to get work, to receive income, and to be able to provide the basic needs of life for themselves and their families. This increases the opportunity cost of engaging in confict. In some cases, the presence of FDI may exacerbate the probability of confict. This may especially be when a country is endowed with natural resources (see Box 4.1) because the resources create a ‘big pot’ to fght over, since whoever gains control gains access to signifcant power and infuence. Further, the determinants of FDI may vary depending on whether a country is a classifed as a confict-prone country. Empirical evidence for Africa shows that the determinants of FDI vary in confict and nonconfict environments. Boachie-Mensah (2017) shows that the factors that determine FDI to sub-Sahara Africa differ from one country to another on the basis of whether the country is classifed as being a confict or nonconfict country. For the determinants of FDI in the full sample, she fnds that fnancial development and infrastructure had positive signifcant effects on FDI, whereas trade openness and market size had a signifcant, negative relationship with FDI. For nonconfict countries, natural resources, institutions, trade openness, infrastructure, and fnancial development had positive signifcant coeffcients, but market size had a signifcant negative coeffcient. For confict countries, natural resources had a negative impact on FDI. Trade openness and market size also exhibit a negative relationship with FDI. With internalization advantages, MNEs organize, create, and exploit their core competencies given the location advantages. Rather than export or engage in licensing, MNEs pursue international production for the net benefts of internalizing intermediate cross-border product markets (Dunning, 2000). MNEs minimize imitation risks or reputation losses and save transaction costs by pursuing international production directly in the target market (Sánchez-Martín et al., 2014). The empirical literature that tested the OLI paradigm showed FDI determinants to be a combination of ownership advantages, transport costs, market features, infrastructure, property rights, and industrial dispute mechanisms (Faeth, 2009). 4.2.1.3 HORIZONTAL AND VERTICAL FDI APPROACHES Horizontal and vertical FDI approaches emerged in the 1980s as part of new trade theories building on industrial organization models (including the OLI paradigm) to combine ownership and location advantages with technology and country characteristics. General equilibrium models in a monopolistic competition setting were used to try to explain the activities of horizontal (Markusan, 1984) and vertical FDI (Helpman, 1984), the FDI and export link being a case of a substitution relationship or a complementary relationship (Abor, 82 Elikplimi Komla Agbloyor et al. Adjasi, & Hayford, 2008). According to Sánchez-Martín et al. (2014), the following reasons explain foreign investment in a country: • With resource-seeking activities, MNEs establish a manufacturing plant in a developing economy to gain access to raw materials to the extent to which the host economy will beneft from the foreign investment, depending on the terms of the concessionary agreement with the MNE and how local institutions manage the income. • With horizontal FDI, MNEs seek to gain access to markets to serve a large demand where transportation costs from the MNEs’ home base are high. Horizontal FDI could be used to avoid import restrictions or high tariffs, thereby substituting for global trade and possibly increasing local industry competition. • With vertical FDI, MNEs seek cheaper factor prices by establishing manufacturing plants that use labour-intensive processes in countries with low wages and appropriate transport infrastructure connections with developed countries. This type of FDI permits backward and forward linkages and is frequently export oriented. The knowledge-capital model of Markusan and Maskus (2002) allows for combinations of horizontal and vertical FDI approaches. Horizontal FDI is established where two countries are similar in size and a large market exist, whereas vertical FDI is established where countries differ in size and endowments. The empirical literature strongly supports market size and transport costs as FDI determinants; evidence remains inconclusive on whether factor endowments (supporting the vertical FDI approach) are signifcant FDI determinants (Faeth, 2009). The following groups of variables, in theory, determine FDI, ownership advantages (e.g. patents and strategic assets), locational advantages (e.g. endowments, transport costs, and trade barriers), macroeconomic factors (e.g. infation, exchange rates, labour costs, and GDP growth), and policy and institutional factors (e.g. political risk, degree of fnancial openness, and taxation benefts) (Sánchez-Martín et al., 2014). BOX 4.1 FDI and the DR Congo (DRC) experience The Democratic Republic of the Congo (DR Congo, or DRC) is located in Central Africa and is the world’s largest copper producer. It has been plagued by several conficts in the past, and by some estimates, confict in the DRC has claimed over fve million lives. The DRC ranks low on the Mo Ibrahim Index (measures the performance of African countries in terms of governance) of African governance (35 out of 100 in 2016). The war in Rwanda spilled over into DRC as Rwandan forces pursued those who had committed genocide in Rwanda and had fed into DRC. At its height, the war in DRC embroiled several of its neighbours and other African countries (Rwanda, Uganda, South Sudan, Central African Republic, Angola, Namibia, and Zimbabwe). Chapter 4 • Private capital fows and economic growth 83 The DR Congo’s natural resources fuelled this confict after long-time despot Mobutu Sese Seko was overthrown. The family jewels (blood diamonds) became available for looting. Although statistics on FDI into the DR Congo are diffcult to come by (in terms of actual amounts), FDI into the country has been rising recently, and FDI stocks have risen sharply, especially after a lull in the confict in 2003. In 2016, on the basis of data from the WDI, DR Congo received FDI infows of about USD1.2 billion, ranking 13th for that year. Several MNEs operate in the DR Congo, and most observers believe that the DR Congo has not benefted from these investments, since the terms of the investments are regarded as far too generous. Indeed, the DR Congo has been exploited by foreigners since the Victorian era. Further reading: www.economist.com/leaders/2018/02/15/congo-is-slidingback-to-bloodshed https://mo.ibrahim.foundation/iiag 4.2.2 Foreign bank lending determinants To consider sustainability and policy responses in the wake of increased cross-border bank lending fows to recipient economies, it has become necessary to investigate their determinants. When push factors are dominant, central decisions of headquarter/home countries drive international bank lending fows. These fows could easily reverse when diffculties arise in the home country, exposing recipient countries to possible sources of domestic market vulnerability. Recipient country regulators could then restrict international banks from reallocating their funds globally by adopting liquidity regulations (‘ring-fencing’) regulations. Most ring-fencing proposals require foreign banks to have dedicated capital and liquidity resources that are subject to local control. One objective of ring-fencing regulations is to limit the potential impact of cross-border banking contagion. If domestic pull factors are dominant, international bank lending fows are more determined by total optimization decisions based on the risk-adjusted returns for each recipient destination (Shirota, 2015). The literature shows that both push factors and pull factors drive cross-border bank lending. Herrmann and Mihaljek (2013) show that riskspecifc factors of the borrower country signifcantly impact cross-border bank lending and that global risk aversion is also a signifcant determinant. Shirota (2015) reveals that global and regional common factors accounted for approximately half of cross-border bank lending fuctuations. However, much heterogeneity exists between countries, since some countries were largely affected by country-specifc pull factors; thus, appropriate policy responses to cross-border bank lending fows might vary depending on the recipient country. 84 Elikplimi Komla Agbloyor et al. Figure 4.2 shows the relationship between cross-border bank lending (proxied by external debt fows) and institutional quality. Surprisingly, just like FDI fows, cross-border bank lending has a negative correlation (-0.73) with the quality of domestic institutions. Consequently, it appears that countries with poor-quality institutions receive higher lending. This may be because the data also include lending from multinational agencies, such as the IMF, that are more likely to lend to countries experiencing diffculty. These countries are usually characterized by poor institutions. Finally, Figure 4.3 shows the relationship between cross-border bank lending and natural resource endowment of host African countries. The correlation (-0.01) is negative but close to zero, meaning that cross-border bank lending is not infuenced much by the natural resource endowment of host countries. 4.2.3 FPI determinants Diversifcation is the foundation of the modern portfolio theory of Markowitz (1952, 1959) and has since become a central theme in the fnance literature. International fnance theory holds that FPI fows are the natural consequence of foreign investors seeking to invest across borders to help diversify portfolio risk and maximize returns. Studies have shown the benefts of diversifying across borders (e.g. Grubel, 1968; Harvey, 1991). As previously noted, the literature usually distinguishes between pull factors and push factors in categorizing the determinants of international capital fows. Some recent contributions in the literature revealed that both pull factors and push factors drive FPI. For instance, supporting the results of previous studies, Ahmed and Zlate (2014) fnd that global risk aversion, interest rate differentials, and growth differentials were signifcant FPI determinants in developing countries. Global risk aversion, as a push factor, is likely to be associated with weaker FPI fows, because an investor’s willingness to purchase riskier developing country assets is negatively impacted. A higher GDP growth rate in the domestic economy is expected to pull in FPI fows, because the higher growth rate is often seen as a proxy for the dynamism of the domestic economy. In a study investigating the determinants of portfolio bond fows to developing countries, Erduman and Kaya (2016) fnd interest rate differential and the infation rate the most signifcant pull factors, with global liquidity being an important push factor. After the global fnancial crisis, the expansionary monetary policies of the developed economies and the resultant increasing global liquidity increased investors’ search for riskier and higher-yielding developing country assets. Institutional and governance quality have also been found to be important determinants of FPI (De Santis & Lührmann, 2009; Vo, Nguyen, Ho, & Nguyen, 2017). Figure 4.2 shows that FPI exhibits a positive but low correlation with institution quality. This shows that FPIs do not rely so much on the quality of local institutions in Africa. Further, Figure 4.3 shows that FPIs exhibit a negative but low correlation with the natural resource endowment of the host nation. This suggests that natural resource endowments do not play a signifcant role in infuencing the decisions of foreign portfolio investors. Chapter 4 • Private capital fows and economic growth 85 Although pull factors therefore remain equally important as FPI drivers, along with push factors, evidence regarding FPI volatility or periods of extreme FPI movements indicate push factors as the primary drivers. Forbes and Warnock (2012) show that global risk is signifcantly related to periods of extreme FPI and that domestic characteristics are generally less important. Sarno, Tsiakas, and Ulloa (2016) fnd that over 80% of FPI variation was a result of push factors. 4.3 BENEFITS AND COSTS ASSOCIATED WITH PRIVATE CAPITAL FLOWS Private capital fows present a double-edged sword for host economies regarding benefts as well as costs. Because important variations exist regarding the various components of private capital fows, this section provides a more expansive discussion of the benefts and costs associated with FDI, foreign bank lending, and FPI. 4.3.1 Benefts of FDI With FDI, more information regarding investment fundamentals is available to foreign investors, enabling them to manage the investment more resourcefully than can FPI investors (Goldstein & Razin, 2005). Policies intended to attract FDI infows are driven by the benefts related to inward FDI identifed in the literature that include productivity gains, technology spill-over, the introduction of new management processes and employee training, international trade integration, creating backward and forward linkages through international production processes, and the advancement of a favourable business environment (Adjasi, Abor, Osei, & Nyavor-Foli, 2012; Agbloyor, Abor, Adjasi, & Yawson, 2013). Through FDIs’ impact on economic growth, poverty reduction can ensue. Figure 4.4 shows that FDI is highly correlated (0.83) with GDP per capita. This correlation is higher than the correlation between other types of capital fows (portfolio investments and cross-border bank lending – proxied by external debt) and GDP per capita. The benefts to host economies can occur as a result of FDI’s upskilling unskilled labour. By supplying scarce capital into the domestic economy, FDI helps to resolve the access to fnance problem and needs to be structured to suit the local development context. By augmenting domestic capital for exports, FDI assists frms to enter the export market (Abor et al., 2008). Through the provision of backward and forward linkages in production, FDI enables local frms to add value to their products and services, which should further translate into greater participation in regional and global trade. The related literature, however, suggests that the benefts associated with inward FDI depend on the host economy’s absorptive capacity (see Agbloyor, Gyeke-Dako, Kuipo, & Abor, 2016). For example, FDI productivity depends on a minimum level of human capital development (Borensztein, De Gregorio, & Lee, 1998) and FDI productivity is enhanced through the existence of well-functioning domestic fnancial markets 86 Elikplimi Komla Agbloyor et al. FIGURE 4.4 Scatter plot between capital fows and institutions, 2000–2016 Panel A: FDI, Portfolio Investment, and GDP Per Capita Source: Generated by authors on the basis of data from the World Development Indicators Note: The correlation between FDI and GDP per capita is 0.83; the correlation between portfolio investment and GDP per capita is 0.04 Panel B: External Debt, Capital Flows (Total), and GDP Per Capita Source: Generated by authors on the basis of data from the World Development Indicators Note: The correlation between cross-border bank lending (proxied by external debt) and GDP per capita is 0.66; the correlation between capital fows (total) and GDP per capita is 0.90 (Adjasi et al., 2012; Agbloyor, Abor, Adjasi, & Yawson, 2014) and the quality of institutions (Agbloyor, Gyeke-Dako, Kuipo, and Abor, 2016). The literature describes strong institutions as those with democratic and relatively equal processes, few radical and social divisions, and ample counterbalances on political behaviour. Further, the impact of FDI may depend on the country’s confict status. That is, confict may alter the relationship Chapter 4 • Private capital fows and economic growth 87 between FDI and economic growth. This may be for several reasons. One potential explanation is that confict destroys the necessary absorptive capacity (e.g. fnancial development, infrastructure development, trade openness, human capital, institutions, and macroeconomic stability) that a country needs to beneft from FDI. Another plausible explanation could be that confict-prone countries may attract ‘bad’ FDI or FDI targeted towards natural resources. Agbloyor, Gyeke-Dako, Yawson, and Abor (2016) examine the relationship between FDI, confict, and economic growth in sub-Saharan Africa. They fnd that in the full sample of countries, FDI has no effect on economic growth. However, after dropping countries that have been plagued by confict, they fnd that FDI has a positive signifcant impact on economic growth. Alternative approaches using dummy variables to represent countries plagued by confict and the duration of the confict show that, though FDI has a positive impact on growth, the effect is lower in confict-affected countries. Agbloyor, Gyeke-Dako, Yawson, and Abor (2016) develop and test three new hypothesis to explain these fndings. These hypotheses are the good boy, bad boy, and repentant heart hypotheses. A good boy is classifed as a country that has never entered into confict. A bad boy, on the other hand, is a country that is prone to recurrent confict. Repentant hearts are countries that have entered into confict, exited confict, and have not re-entered confict for a minimum of six years. The results show that good boys beneft from FDI fows, in terms of achieving higher growth outcomes, more than their counterparts do. Repentant hearts also benefted from FDI in terms of achieving higher growth outcomes. Bad boys, however, do not beneft from FDI fows in terms of achieving higher growth outcomes. In Africa, Botswana has been a shining example of development. Botswana has been able to leverage investments into its diamond industry to catapult growth and development (see Box 4.2). BOX 4.2 FDI and the Botswana experience Botswana gained its independence in 1966 and is often referred to as the Southern Star. It was extremely poor at independence. Today, Botswana is a shining example of development in Africa. According to an Economist article in 2002, Botswana has achieved the fastest growth in the world in income per capita over the past 35 years. This growth was faster than any Asian tiger (e.g. Singapore or South Korea) or growth in China or in the United States. Botswana has also consistently ranked highly on the Mo Ibrahim Index of African governance. Most of this wealth is due to minerals, in particular diamonds. Unsurprisingly, a lot of FDI into Botswana goes into diamond exploration. Botswana, however, does not rank highly in terms of FDI in Africa (it received only about USD129 million in 2016, the 40th in Africa) and even compared with its own exports. De Beers from South Africa is one of the most important investors in the diamond business 88 Elikplimi Komla Agbloyor et al. in Botswana. The country recently had a 50–50 arrangement with De Beers to increase its share of the profts from exploration. Botswana has been able to harness and leverage on its diamonds for development and has avoided most of the pitfalls that have befallen other resource-rich countries in the region, such as the Democratic Republic of Congo. Several explanations have been offered for Botswana’s success. One is that the elite were enriched enough from diamonds so that further rent seeking, which could potentially escalate into war, was unnecessary. Another explanation is that the traditional society in Botswana encouraged dialogue between leaders and citizens. One key challenge for Botswana is to diversify its economy and reduce its dependence on its natural resources. Further reading: www.economist.com/finance-and-economics/2002/03/28/theafrican-exception www.economist.com/middle-east-and-africa/2018/03/10/ how-to-save-botswanas-sparkling-reputation 4.3.2 Costs of FDI FDI investors’ advantage in having more information regarding frms’ investment fundamentals as opposed to FPI investors can give rise to future asymmetric information problems between the foreign investor and future buyers (Goldstein & Razin, 2005). Information asymmetry problems could arise for FDI investors should they disinvest before investment maturity. In such a case, potential buyers would be willing to pay a lower price because they would realize that the investor has an information advantage regarding the investment fundamentals and may suspect the disinvestment arises from negative future investment prospects. FDIs may also lead to negative consequences when they are viewed not to have signifcant linkages with the domestic economy. For example, FDIs may be concentrated in the exploration of natural resources, such as oil and gas, which may have few linkages with the domestic economy (see Box 4.3). Further, FDIs may have negative consequences in the domestic market because these frms ‘outcompete’ local frms, leading to the demise of local frms with attendant losses in employment, capital, and negative social consequences because of, for example, job losses. Domestic frms may also feel that foreign frms are given more attractive investment packages to domestic frms’ detriment. When domestic frms lose market share to foreign frms, their productivity is reduced through competition effects. Should the productivity decline from a lesser market share be large enough, domestic frms’ net productivity can reduce even though technology and management transfer could have occurred because of the presence of foreign frms. The following are some of the other explanations for why the Chapter 4 • Private capital fows and economic growth 89 domestic economy might not beneft through FDI spillovers (Görg & Greenaway, 2003): • Foreign frms are able to guard their frm-specifc advantages. • The positive FDI spillovers impact only certain frms. • The positive FDI spillovers imply no intra-industry knowledge transfer. Because of global governance, institutions, and the possibility of capital fight, developing economies often try to create a conducive business environment that includes lower domestic environmental regulations compared with developed economies (Jorgenson, 2007). Developing economies are also less likely to ratify international environmental treaties. Kuznet’s (1955) economic growth inequality hypothesis addresses the link between FDI and environmental sustainability through an indirect channel: FDI positively impacts growth that leads to increased CO2 emissions (see Figure 4.5). Figure 4.5 shows that FDI is positively correlated (0.34) with CO2 emissions. This correlation is higher than the correlation between the other types of private capital fows (portfolio investment and cross-border bank lending) and CO2 emissions. A direct theory that addresses the link between FDI and environmental sustainability is the pollution havens theory (Bokpin, 2017). According to the pollution havens theory, multinational enterprises locate in developing countries with weaker environmental standards and lower regulations in order to fnance polluting and ecologically ineffcient processes (see Box 4.4). To attract additional foreign investment, developing countries intentionally undervalue their environment, becoming pollution havens. FIGURE 4.5 Scatter plot between capital fows and natural resource rents, 2000–2016 Panel A: FDI, Portfolio Investments, and CO2 Emissions Source: Generated by authors on the basis of data from the World Development Indicators Note: The correlation between FDI and CO2 emissions is 0.34; the correlation between portfolio investments and CO2 emissions is 0.25 90 Elikplimi Komla Agbloyor et al. FIGURE 4.5 (Continued) Panel B: External Debt, Capital Flows (Total), and CO2 Emissions Source: Generated by authors on the basis of data from the World Development Indicators Note: The correlation between cross-border bank lending (proxied by external debt) and CO2 emissions is 0.17; the correlation between capital fows and CO2 emissions is 0.39 When the environment is undervalued or considered free, a distortion in economic incentives and overuse by producers and customers ensues (Mabey & McNally, 1999). Empirical evidence has revealed that FDI infows increase environmental degradation in Africa. However, in the presence of strong government institutions, such as environmental protection agencies, FDI contributes to environmental sustainability (see Bokpin, 2017). BOX 4.3 FDI and the Nigerian experience Nigeria is one of the largest recipients of FDI in Africa. In 2016, Nigeria received FDI infows of USD4.44 billion, ranking second in Africa. It is also one of the largest producers of oil in Africa and the world. Traditionally, FDI into Nigeria has focused mainly on the natural resource sector. A number of empirical studies have found that FDI has had a negative impact or no impact on economic growth in Nigeria (e.g. see Akinlo, 2004). These studies usually attribute this negative effect to the fact that most of the investments go into the natural resource sector, which has few linkages with the rest of the economy. The Niger Delta crises where local militants have been fghting foreign multinationals engaged in oil exploration in Nigeria probably sums up how some Nigerians feel about FDI, especially in the natural resource sector. As recently as 2016, an attack on the Shell Petroleum Development Corporation led to a halt in production. Some other studies, such as Ayanwale (2007), suggest that though overall FDI may not have an impact on growth, FDI in sectors in Nigeria such as communication has had a positive impact. Chapter 4 • Private capital fows and economic growth 91 BOX 4.4 FDI and the pollution havens hypothesis: copper mining in Zambia Signifcant FDI in the natural resource sectors of African economies has raised concerns that FDI could undermine local development where negative external costs (e.g. an increase in environmental degradation) are created but not accounted for by the foreign investor. Capacity constraints, an interventionist tradition, and a cooperative approach when engaging with industry characterizes the environmental regulatory efforts in Zambia. These characteristics have afforded MNEs signifcant latitude to remedy compliance gaps. For instance, in 2007, the Zambian parliament noted that two projects were given approval to proceed through clauses in the Environmental Act allowing the minister of environment to overrule objections from the Environmental Council of Zambia that the projects were environmentally unsound (Haglund, 2008). In 2016, Zambia received net FDI infows of USD662 million, ranking 18th in Africa. It would seem that investment risks relating to the effectiveness of local environmental regulations in Zambia have been valid. In 2017, Zambian villagers won the right to sue a Londonbased mining group and its subsidiary, in British courts, claiming a copper mine had polluted their water for years. 4.3.3 Benefts of foreign bank lending The advantages of increased foreign bank presence include foreign banks’ achieving better economies of scale and risk diversifcation, the introduction of more advanced technology and better risk management practices, importing improved supervision and regulation, and enhancing competition. In times of economic hardship, foreign affliates of global banks could be perceived as safer than domestic banks (see Box 4.6). Foreign banks may be less infuenced by the domestic political climate and less susceptible to lend to connected parties (Detragiache, Tressel, & Gupta, 2008). According to modern portfolio theory, by diversifying asset holdings, an investor can reduce portfolio risk. Similar diversifcation gains arise to banks that invest abroad through a reduction of the variance of their asset portfolio; the resultant lower asset volatility should decrease the prospect of bank failures in the home country. Apart from bank failures, diversifcation gains from cross-border banking could also reduce lending volatility in the home country, because the lower risk exposure of banks reduces their chances to cut back lending. Diversifcation gains can also arise from the presence of foreign banks in the host economy. Increased foreign bank presence enables frms in the host country to have lending relationships with both domestic and foreign banks, where the frms are able to substitute domestic lending with foreign bank fnance should domestic banks become constrained in their lending (Allen et al., 2011). 92 Elikplimi Komla Agbloyor et al. The effect of foreign bank presence on competition in the domestic banking market can be marked in concentrated domestic markets where banks operate ineffciently. One strand of the related literature suggests competition enhances stability through the mitigation of agency problems at the borrower level. Increased competition will lower lending rates, raising borrowers’ profts, reducing risk-shifting incentives, and subsequently lowering borrower risk. Increasing borrowers’ profts lowers the chances of bankruptcy, and fewer moral hazard problems on the part of borrowers can be expected once borrowers are confronted with lower interest costs. In addition to increasing the number of market participants, foreign banks may be more effcient (e.g. use improved risk management practices), thereby forcing domestic banks to improve their effciency and thus contributing further to banking sector stability (Allen et al., 2011). Empirical evidence has shown that increased foreign bank presence is associated with a reduction in the proftability and margins of domestic banks (Claessens, Demirgüç-Kunt, & Huizinga, 2001), and barriers for bank customers are lower with increased foreign bank involvement (Beck, Demirgüç-Kunt, & Peria, 2008). Foreign bank lenders could prompt the supervisory authorities from host economies to improve regulation and supervision in answer to new activities and products, thereby indirectly contributing to fnancial stability (Beck, Fuchs, Singer, & Witte, 2014). BOX 4.5 Foreign bank ownership in Africa On the basis of geographical origin, foreign bank ownership in Africa can be grouped into two categories (Beck et al., 2014): 1 Global banks from outside the continent (specifcally Europe), although we have also seen an increasing presence of southsouth banks from India and China – examples include Sociéte Générale (France), Citigroup (USA), Standard Chartered (UK), BNP Paribas (France), and Bank of Baroda (India), and Sociéte Générale has representation through branches and subsidiaries in 17 African countries 2 Cross-border banks from Africa predominantly incorporated in South Africa, Nigeria, and Morocco – examples include Ecobank (Togo), UBA (Nigeria), Stanbic (South Africa), and BMCE (Morocco), and Ecobank has representation in 32 African countries. There are major discrepancies concerning foreign bank ownership across Africa, according to Claessens and Van Horen’s (2014) database on bank ownership. The banking sector of some countries is dominated by foreign banks, where foreign banks own over 80% of banking sector assets. Country examples include Benin, Madagascar, Senegal, and Zambia. In some African economies, foreign banks own between 60% and 80% of banking sector assets. Country examples Chapter 4 • Private capital fows and economic growth 93 include Botswana, Cameroon, and Ghana. Foreign bank assets among total bank assets in 2013 were lower in some countries that exhibit greater banking sector development. Country examples are Kenya (34%), South Africa (25%), and Nigeria (16%). No foreign banks operate in Ethiopia. According to Beck et al. (2014), the variation in foreign bank presence across the continent can be partly explained by historical and country-specifc factors. For example, fnancial sector reforms implemented at independence in Kenya, Morocco, and Nigeria brought about the nationalization of foreign banks, established state-owned banks, and facilitated the growth of domestic banks through low entry requirements. In South Africa, foreign bank presence declined in the 1980s as pressure mounted on foreign banks to disinvest because of the country’s apartheid regime, and domestic bank concentration remained high. In Nigeria, as a result of the minimum capital increase in 2005 that led to banking sector consolidation, foreign bank investment was initially discouraged. In Kenya, prudent management and the strong market position of the Kenya Commercial Bank, along with private sector competition, fuelled product innovation and, in the 2000s, advanced a platform for East African cross-border expansion. BOX 4.6 Foreign bank presence, fnancial sector stability, and connected lending in Ghana The banking industry in Ghana experienced signifcant shocks in 2017 and 2018. In 2017, two domestic banks (UT Bank and Capital Bank) collapsed and were handed over to GCB Bank (a domestic bank previously wholly owned by the state) through a purchase and assumption transaction. The collapse of these banks was attributed to poor corporate governance practices and connected lending. In 2018, fve more local banks collapsed (Biege Bank, Royal Bank, Sovereign Bank, UniBank Ghana, and Construction Bank). The collapse of these banks was attributed to similar reasons. Interestingly, no foreign owned bank was affected by the fnancial crisis that occurred. Thus, some have argued that these banks were not affected, because of their higher corporate governance standards and lower propensity to engage in related party lending. 4.3.4 Costs of foreign bank lending Critics of increased foreign bank presence posit that distance constraints and information disadvantages deter foreign banks from lending to smaller, more-opaque frms that are particularly prevalent in African economies. That is, foreign banks cherry-pick the best customers, leading to reduced credit to ordinary citizens of the country. If foreign banks crowd out local banks, fnancial outreach could be negatively impacted as smaller frms 94 Elikplimi Komla Agbloyor et al. further struggle to access fnance because foreign banks lend predominantly to the top market segment (Detragiache et al., 2008). According to the literature, foreign banks shun lending to soft information sector borrowers (e.g. small start-up frms) because of information and agency costs relating to cultural and geographical variances (Mian, 2006). The stability benefts associated with increased foreign bank presence as a result of diversifcation gains have been challenged by critics. Although increased foreign bank presence can shield a host economy from domestic shocks, foreign banks can also transmit or ‘import’ shocks into the host economy. Domestic capital is less mobile than foreign capital, and foreign banks can withdraw liquidity and reduce lending in the host economy should adverse conditions arise globally or in their home countries. Whether increased foreign bank presence results in improved regulation and supervision has been questioned, since effective regulation and supervision do not require the presence of any foreign banks but start with domestic banks. Acquiring suffcient regulatory expertise to improve oversight may take years, exposing the domestic banking sector to risks relating to new products and technologies that are not fully understood (Beck et al., 2014). 4.3.5 Benefts of FPI FPI fows provide foreign investors the opportunity to target investments across economies to diversify portfolio risk and obtain higher riskadjusted rates of return as risks are pooled by investors. FPI also caters to different portfolio preferences, expanding the available choice of fnancial instruments that vary across countries. FDI is considered more permanent because of the larger capital initial investment requirements and relatively less liquidity than FPI. Hence, institutional investors (e.g. pension funds and asset managers) prefer FPI because of the liquidity and possible information asymmetry problems associated with FDI. For developing country host economies, FPI closes the savings–investment gap, provides foreign exchange, assists in fnancing current account defcits, provides a monitoring role for the corporate sector, and facilitates resource mobilization. The depth and liquidity of local stock markets are increased, which could result in positive spillovers, including improved regulation and supervision and improved accounting and reporting standards. More-developed stock markets afford emerging companies additional fnancing options, thereby decreasing their dependence on bank fnancing that reduces the risk of credit constraints. Well-developed and integrated local bond markets provide an intermediate function to raise funding for infrastructure development. Because of FPIs’ positive impact on valuations, a reduction in the cost of capital may ensue. 4.3.6 Costs of FPI FPI investors need to factor in country and currency risk, along with other factors, before investing in an economy. FPI investors are more vulnerable to liquidity shocks, and FDI investors with FPI fows are more susceptible Chapter 4 • Private capital fows and economic growth 95 to surges and sudden stops (see Box 4.7). FPI infow surges can infuence domestic asset prices, resulting in a real estate bubble and infation; sudden stops can translate into higher interest rates, currency depreciation, and a low growth environment (Sarno et al., 2016). Increased FPI fows that positively infuence stock market liquidity may negatively impact corporate governance in that liquid stock markets could translate into investor myopia (Yartey & Adjasi, 2007). Long-term investment is constrained by investor myopia, which is defned as investors focusing only on short-run price changes over a short-time horizon. If FPI investors can readily disinvest, their motivation to adequately provide a monitoring role for the corporate sector becomes questionable. The actual operation of the pricing and turnover mechanism of stock markets can also translate into short-termism, along with decreased long-term investment, including frm-specifc human capital. With the aim of attracting more FPI investors, management can engage in actions to maximize short-term earnings and stock prices while neglecting more-effcient long-term resource allocation decisions, such as investing in frm-specifc human capital that raises worker productivity. Compared with FDI, FPI fows can depart from long-term proftability expectations relating to host economies’ fundamentals and are also infuenced by herding behaviour. For example, in the aftermath of the global fnancial crisis, the expansionary monetary policies implemented in developed countries created ample incentive for speculative FPI fows to food the stock and bond markets of developing countries. The excessive liquidity from these aggressive monetary policy actions spilled over into developing countries with little relation to the host economy’s macroeconomic fundamentals because the aim of these cross-border fows is often an attempt to earn short-term gains. The literature has also argued that investors are more inclined to herd if markets are ineffcient. If developing country fnancial markets are poorly regulated, experience frequent central bank intervention, and have poor disclosure requirements for listed securities, then foreign investors are arguably likely to exhibit herding behaviour (i.e. foreign investors mimicking each other’s actions). Herding behaviour can create a gap between a listed security’s fundamental price and the market price that can lead to a price bubble. Empirical evidence has shown that the entrance of foreign institutional investors into the capital markets of developing countries dilutes domestic fnancial price information, because these investors trade with less information. Although more access to international capital markets could beneft domestic growth prospects, information asymmetries from the side of institutional investors can negatively impact resource allocation and fnancial stability (Frenkel & Menkhoff, 2004). BOX 4.7 FPI effects in South Africa Since the turn of the century, South Africa has primarily relied on FPI fows to support the current account defcit as a result of a shortfall in 96 Elikplimi Komla Agbloyor et al. domestic savings. Between 2000 and 2007, FPI fows contributed over 50% of infows recorded on the fnancial account, compared with the 36% contribution of FDI. The volatility of FPI fows was demonstrated in 2008, when investor sentiment became negative and FPI outfows of 104% on the fnancial account balance was recorded, resulting in a depreciation of the local currency. The country’s reliance on FPI fows continued from 2009 to 2014, FPI fows contributing nearly 50% of infows recorded on the fnancial account. Although the local currency initially strengthened between 2009 and April 2011, severe periods of depreciation occurred from the second half of 2011. Although South Africa’s local currency developments refected both country-specifc and international developments, deteriorating global economic prospects left most emerging market economies with depreciating currencies and the effects thereof. Therefore, a concern for countries that overly rely on FPI fows is that global push factors (beyond the control of the domestic policymakers) can easily trigger a reversal of fows. For example, in 2016, South Africa recorded the largest net portfolio investments in Africa: a staggering USD16 billion. South Africa’s increasing reliance on FPI fows was highlighted as a factor for a selloff of FPI in the second half of 2018, compounded by global push factors such as looming trade wars and a strong dollar. Source: Adapted from De Beer (2015) 4.4 CONCLUSION This chapter examined various issues regarding private capital fows to Africa. Private capital fows have generally been rising. The main capital fows examined were FDI, foreign bank lending, and FPI. FDIs may be classifed as either Greenfeld or cross-border M&As, with the latter rising. In terms of motives for FDI, these have been generally classifed as resource seeking, market seeking, effciency seeking, and strategic-asset seeking. Resource-seeking FDI investors pursue resources at a lower real cost abroad that is often not available at home. Market-seeking FDIs pursue market share in target foreign markets with the goal of reducing the cost of supplying a market. Effciency-seeking FDIs attempt to establish effcient structures by producing in as few countries as possible, each country having its own distinctive advantage relating to location, endowment, and government policies. The motive for strategic-asset-seeking FDIs is to locate where assets in foreign frms can be acquired that promote long-term objectives. Several benefts from FDI fows were identifed. These include productivity gains, technology spillovers, the introduction of new management processes and employee training, international trade integration, creating backward and forward linkages through international production processes, and the advancement of a favourable business environment. These Chapter 4 • Private capital fows and economic growth 97 benefts were also found to depend on host-country characteristics, such as trade openness, human capital, confict, the quality of institutions, and fnancial development, among other variables. FDI was found to be positively correlated with GDP per capita. FDI was identifed to be associated with costs such as increased pollution and low linkages with the rest of the economy in the case of some resource-rich countries. Various theories have been proposed to explain the determinants of FDI fows to host countries. These theories include the neoclassical theory, the OLI framework, and the horizontal and vertical FDI models. FDIs were found to be more stable than the other types of private capital fows. The consequences of capital fow volatility were identifed to include intensifying economic cycles, creating weaknesses in fnancial systems, and worsening overall macroeconomic uncertainty. The fndings in the chapter indicated that FDI exhibits a negative correlation with the quality of institutions. FDIs were also found to exhibit a positive correlation with natural resources. FDIs reduce the probability of confict. In certain instances, FDIs may exacerbate the likelihood of confict. The determinants of FDI were identifed to vary by the confict status of a country. For nonconfict countries, natural resources, institutions, trade openness, infrastructure, and fnancial development had positive signifcant coeffcients, but market size had negative and signifcant coeffcients. For confict countries, natural resources were found to have a negative impact on FDI. Trade openness and market size were also found to exhibit a negative relationship with FDI. Finally, nonconfict countries and countries that have entered and exited war without returning to war benefted more from FDI than did countries prone to recurrent confict. Push (global) and pull (host-country) factors were identifed as the main factors that explain FPI fows to African countries. The push factors were identifed to be more important than the pull factors. FPIs were identifed to exhibit a low correlation with the quality of institutions in host countries. Further, FPIs were also identifed to be lowly correlated with natural resource endowments in host countries. FPIs are associated with certain benefts, such as closing the savings–investment gap, providing foreign exchange, assisting in fnancing current account defcits, providing a monitoring role for the corporate sector, and facilitating resource mobilization. Some of the costs associated with FPIs include surges in domestic asset price, resulting in a real estate bubble and infation, while sudden stops can translate into higher interest rates, currency depreciation, and a low growth environment. Push and pull factors explain cross-border bank lending, which is negatively correlated with institutions. Further, cross-border bank lending is lowly correlated with the natural resource endowments of host countries. Cross-border bank lending is associated with benefts as well, such as the ability of foreign banks to achieve better economies of scale and risk diversifcation, the introduction of more advanced technology and better risk management practices, importing improved supervision and regulation, and enhancing competition. In times of economic hardship, foreign affliates of global banks could be perceived as safer than domestic banks 98 Elikplimi Komla Agbloyor et al. are, because they are perceived to be less infuenced by the domestic political climate and less susceptible to lending to connected parties. The withdrawal of cross-border bank lending can also impose signifcant costs on host economies. Discussion questions 1 Why have policymakers in developing countries and international development fnance institutions promoted private capital fows in recent times? Are there any reasons why policymakers should be cautious in fashioning policies to attract FDI? 2 Explain the various types of private capital fows. Why would countries prefer certain types of private capital fows over others? 3 Discuss the implications of volatile capital fows for African countries. 4 Discuss the trends in private capital fows in Africa. What does this tell us about to the preference of countries for particular capital fows, and why is this the case? 5 Explain the various motives for FDI fows, according to Ajayi (2006). 6 There are two main forces that determine capital fows into developing countries. These are push and pull factors. What is the difference between the two? Provide examples. 7 There are various theories that explain FDI fows. Discuss these 8 9 10 11 12 theories, and what do these theories say about FDI fows? a. The neoclassical approach. b. The Dunning’s OLI framework. c. Horizontal and vertical FDI models. Discuss how FDI determinants vary depending on the confict status of a country? Theory and empirical evidence suggest that confict may lead to lower FDI fows in developing countries. However, FDI fows may also negatively affect the confict status of a country. How may FDI affect the probability of confict in developing regions like Africa? Discuss how confict may alter the relationship between FDI and economic growth. Discuss the good boy, bad boy and the repentant heart hypotheses in relation to FDI and economic growth. Discuss the potential costs and benefts of foreign direct investments, foreign portfolio investment, and foreign bank lending. References Abor, J., Adjasi, C. K. D., & Hayford, M. (2008). How does foreign direct investment affect the export decisions of frms in Ghana? African Development Review, 20(3), 446–465. Adjasi, C. K. D, Abor, J., Osei, K. A., & Nyavor-Foli, E. E. (2012). FDI and economic activity in Africa: The role of local fnancial markets. Thunderbird International Business Review, 54(4), 429–439. Agbloyor, E. K., Abor, J., Adjasi, C. K. D., & Yawson, A. (2012). Domestic banking sector development and cross border mergers and acquisitions in Africa. Review of Development Finance, 2, 32–42. Agbloyor, E. K., Abor, J., Adjasi, C. K. D., & Yawson, A. (2013). Exploring the Chapter 4 • Private capital fows and economic growth causality links between fnancial markets and foreign direct investment in Africa. Research in International Business and Finance, 28, 118–134. Agbloyor, E. K., Abor, J., Adjasi, C. K. D., & Yawson, A. (2014). Private capital fows and economic growth in Africa: The role of domestic fnancial markets. Journal of International Financial Markets, Institutions & Money, 30, 137–152. Agbloyor, E. K., Gyeke-Dako, A., Kuipo, R., & Abor, J. Y. (2016). Foreign direct investment and economic growth in SSA: The role of institutions. Thunderbird International Business Review, 58(5), 479–497. Agbloyor, E. K., Gyeke-Dako, A., Yawson, A., & Abor, J. Y. (2016, December). Stop fring the guns! How does confict interact with FDI to infuence economic growth? World Finance and Banking Symposium, Dubai, pp. 14–15. Ahmed, S., & Zlate, A. (2014). Capital fows to emergent market economies: A brave new world? Journal of International Money and Finance, 48, 221–248. Ajayi, S. I. (2006). The determinants of foreign direct investment in Africa: A survey of the evidence. In S. I. Ajayi (Ed.), Foreign direct investment in SubSaharan Africa: Origins, targets, impact and potential (pp. 11–32). Nairobi: African Economic Research Consortium. Akinlo, A. E. (2004). Foreign direct investment and growth in Nigeria: An empirical investigation. Journal of Policy Modeling, 26(5), 627–639. Akomatey, R. (2017). The impact of foreign direct investment on confict in subSaharan Africa. (Unpublished thesis). University of Ghana, Accra. Allen, F., Beck, T., Carletti, E., Lane, P. R., Schoenmaker, D., & Worlf, W. (2011). Cross-border banking in Europe: Implications for fnancial stability and macroeconomic policies, centre for economic policy (CEPR). Retrieved from www. tara.tcd.ie/handle/2262/57384 Asiedu, E. (2002). On the determinants of foreign direct investment to developing countries: Is Africa different? World Development, 30(1), 107–119. 99 Ayanwale, A. B. (2007). FDI and economic growth: Evidence from Nigeria. Research Paper No. 165. Nairobi: African Economic Research Consortium. Beck, T., Demirgüç-Kunt, A., & Peria, M. S. M. (2008). Banking services for everyone? Barriers to bank access and use around the world. World Bank Economic Review, 22(3), 397–430. Beck, T., Fuchs, M., Singer, D., & Witte, M. (2014). Making cross-border banking work for Africa. Retrieved from http:// documents.worldbank.org/curated/ en/2014/01/19761778/making-crossborder-banking-work-africa Boachie-Mensah, L. (2017). On the determinants of foreign direct investment to Africa: Are there differences between confict and non-confict countries? (Unpublished thesis). University of Ghana, Accra. Bokpin, G. A. (2017). Foreign direct investment and environmental sustainability in Africa: The role of institutions and governance. Research in International Business and Finance, 39, 239–247. Borensztein, E., De Gregorio, J., & Lee, J. W. (1998). How does FDI affect economic growth? Journal of International Economics, 45(1), 115–135. Broto, C., Diaz-Cassou, J., & Erce, A. (2011). Measuring and explaining the volatility of capital fows to emerging economies. Journal of Banking & Finance, 35, 1941–1953. Chen, S. (2017). Profting from FDI in confict zones. Journal of World Business, 52, 760–768. Claessens, S., Demirgüç-Kunt, A., & Huizinga, H. (2001). How does foreign entry affect domestic banking markets? Journal of Banking and Finance, 25(5), 891–911. Claessens, S., & Van Horen, N. (2014). Foreign banks: Trends and impact. Journal of Money, Credit and Banking, 46(1), 295–326. Contessi, S., De Pace, P., & Francis, J. L. (2013). The cyclical properties of disaggregated capital fows. Journal of International Money and Finance, 32, 528–555. Cull, R. J., & Peria, M. S. M. (2010). Foreign bank participation in developing 100 Elikplimi Komla Agbloyor et al. countries: What do we know about the drivers and consequences of this phenomenon? Working Paper No. 5398. Washington, DC: World Bank. De Beer, B. (2015). South Africa’s experience with capital fows since the fnancial crisis. From measurement to analysis. Paper presented at the IFC satellite meeting during the 60th ISI conference, Brazil, Rio de Janeiro. Retrieved from www.bis.org/ifc/events/sat_ semi_rio_jul15/1_beer_paper.pdf De Santis, R. A., & Lührmann, M. (2009). On the determinants of net international portfolio fows: A global perspective. Journal of International Money and Finance, 28, 880–901. Detragiache, E., Tressel, T., & Gupta, P. (2008). Foreign banks in poor countries: Theory and evidence. The Journal of Finance, 63(5), 2123–2160. Dunning, J. H. (1977). Trade, location of economic activity and the MNE: A search for an electic approach. In B. Ohlin & P. O. Hesselborn (Eds.), The international allocation of economic activity. London: Palgrave Macmillan. Dunning, J. H. (2000). The eclectic paradigm as an envelope for economic and business theories of MNE activity. International Business Review, 9, 163–190. www.economist.com/finance-andeconomics/2002/03/28/the-africanexception www.economist.com/leaders/2018/ 02/15/congo-is-sliding-back-tobloodshed www.economist.com/middle-east-andafrica/2018/03/10/how-to-savebotswanas-sparkling-reputation Eichengreen, B., & Hausman, R. (1999). Exchange rates and fnancial fragility. NBER Working Paper No. 7418. Cambridge, MA: National Bureau of Economic Research. Erduman, Y., & Kaya, N. (2016). Time varying determinants of bond fows to emerging markets. Central Bank Review, 16, 65–72. Faeth, I. (2009). Determinants of foreign direct investment – A tale of nine theoretical models. Journal of Economic Surveys, 23(1), 156–196. Forbes, K. J., & Warnock, F. E. (2012). Capital fow waves: Surges, stops, fight and retrenchment. Journal of International Economics, 88, 235–251. Frenkel, M., & Menkhoff, L. (2004). Are foreign institutional investors good for emerging markets? The World Economy, 27(8), 1275–1293. Goldstein, I., & Razin, A. (2005). Foreign direct investment v foreign portfolio investment. NBER Working Paper No. 11047. Cambridge, MA: National Bureau of Economic Research. Goldstein, I., & Razin, A. (2006). An information-based trade-off between foreign direct investment and foreign portfolio investment. Journal of International Economics, 70, 271–295. Görg, H., & Greenaway, D. (2003). Do domestic frms really beneft from foreign direct investment? Working Paper No. 944. IZA. Retrieved from https://econpapers.repec.org/paper/izaizadps/ dp944.htm Grubel, H. G. (1968). Internationally diversifed portfolios. American Economic Review, 58, 1295–1314. Haglund, D. (2008). Regulating FDI in weak African states: A case study of Chinese copper mining in Zambia. Journal of Modern African Studies, 46(4), 547–575. Harvey, C. R. (1991). The world price of covariance risk. Journal of Finance, 46(1), 111–157. Helpman, E. (1984). A simple theory of international trade with multinational corporations. Journal of Political Economy, 92(3), 451–471. Herrmann, S., & Mihaljek, D. (2013). The determinants of cross-border bank fows to emerging markets: New empirical evidence on the spread of fnancial crises. Economics of Transition, 21(3), 479–508. https://mo.ibrahim.foundation/iiag IMF. (2012). The liberalization and management of capital fows: An institutional view. Washington, DC: Author. Chapter 4 • Private capital fows and economic growth 101 Jorgenson, A. K. (2007). Does foreign investment harm the air we breathe and the water we drink? A crossnational study of carbon dioxide emissions and organic water pollution in less-developed countries 1975–2000. Organization & Environment, 20(2), 137–156. Kuznets, S. (1955). Economic growth and income inequality. American Economic Review, 45, 1–28. Lucas, R. E. (1990). Why doesn’t capital fow from rich to poor countries? American Economic Review, 80(2), 92–96. Mabey, N., & McNally, R. (1999). Foreign direct investment and the environment: From pollution havens to sustainable development. A WWF-UK Report. Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77–91. Markowitz, H. (1959). Portfolio selection. New Haven, CT: Yale University Press. Markusan, J. R. (1984). Multinationals, multi-plant economies and the gains from trade. Journal of International Economics, 16, 205–226. Markusan, J. R., & Maskus, K. E. (2002). Discriminating among alternative theories of the multinational enterprise. Review of International Economics, 10(4), 694–707. Mian, A. (2006). Distance constraints: The limits of foreign lending in poor economies. Journal of Finance, 3, 1465–1505. Neumann, R. M., Penl, R., & Tanku, A. (2009). Volatility of capital fows and fnancial liberalization: Do specifc fows respond differently? International Review of Economics and Finance, 18, 488–501. Opperman, P., & Adjasi, C. K. D. (2017). The determinants of private capital fow volatility in Sub-Saharan Africa. Research in International Business and Finance, 42, 312–320. Owen, A. L., & Temesvary, J. (2014). Heterogeneity in the growth and fnance relationship: How does the impact of bank fnance vary by country and type of lending? International Review of Economics and Finance, 31, 275–288. Pontines, V., & Siregar, R. Y. (2014). How should we bank with foreigners? An empirical assessment of lending behaviour of international banks to six East Asian economies. International Review of Economics and Finance, 29, 552–568. Sánchez-Martín, M. E., de Arce, R., & Escribano, G. (2014). Do changes in the rules of the game affect FDI fows in Latin America? A look at macroeconomic, institutional and regional integration determinants of FDI. European Journal of Political Economy, 34, 279–299. Sarno, L., Tsiakas, I., & Ulloa, B. (2016). What drives international portfolio fows? Journal of International Money and Finance, 60, 53–72. Shirota, T. (2015). What is the major determinant of cross-border banking fows? Journal of International Money and Finance, 53, 137–147. Vo, X. V., Nguyen, D. P., Ho, V. T., & Nguyen, T. T. (2017). Where do the advanced countries invest? An investigation of capital fows from advanced countries to emerging economies. Journal of International Financial Markets, Institutions & Money, 51, 142–154. Yartey, C. A., & Adjasi, C. K. (2007). Stock market development in sub – Saharan Africa: Critical issues and challenges. Working Paper No. 7/209. Washington, DC: IMF. Appendix TABLE 4.1 Private capital fows to Africa in 2016: best and worst performers Panel A: FDI and portfolio investments Top 10 recipients of FDI Top 10 recipients of portfolio investments Egypt, Arab Rep. 8,106,800,000.00 Nigeria 4,445,102,771.13 Angola 4,104,422,619.77 Ethiopia 3,988,953,391.68 Ghana 3,485,333,369.28 Mozambique 3,128,149,928.70 Morocco 2,318,278,920.13 South Africa 2,215,307,020.40 DR Congo 2,006,000,000.00 Algeria 1,637,370,975.34 Some countries of interest Botswana 129,127,201.65 DR Congo 1,204,708,617.17 Zambia 662,813,935.42 1 2 3 4 5 6 7 8 9 10 40 13 18 Bottom 10 recipients of FDI Equatorial Guinea Eritrea Central African Republic Swaziland Sao Tome and Principe Guinea-Bissau Comoros Burundi Gambia, The South Sudan Mauritius 7,189,574,257.34 Burkina Faso 398,605,423.81 Kenya 383,124,984.59 Morocco 327,671,042.12 Mozambique 123,864,414.69 Zimbabwe 80,061,343.26 Uganda 66,688,232.76 Cameroon 65,104,461.95 Tunisia 56,842,693.32 Seychelles 49,612,777.20 Some countries of interest Botswana (1,801,492.01) DR Congo 15,954,430.78 Zambia (413,849,920.29) Ghana (553,701,689.77) 1 2 3 4 5 6 7 8 9 10 22 13 30 31 Bottom 10 recipients of portfolio investments 53,962,172.52 52,305,383.53 31,196,880.99 45 46 47 Angola Namibia Niger (42,450,977.70) (54,686,219.07) (122,072,112.34) 27 28 29 27,049,949.52 23,331,087.12 48 49 Zambia Ghana (413,849,920.29) (553,701,689.77) 30 31 14,221,700.00 8,015,631.04 50 51 (588,956,354.09) (736,100,000.00) 32 33 55,420.36 (1,526,519.34) (17,000,000.00) 52 53 54 Côte d’Ivoire Egypt, Arab Rep. Libya Nigeria South Africa (1,443,800,000.00) (1,709,746,689.11) (16,372,515,388.73) 34 35 36 Panel B: External debt and total capital fows Top 10 recipients of external debt Egypt, Arab Rep. Angola South Africa Kenya Ethiopia Nigeria Mauritius Morocco 9,008,045,000.00 7,550,361,000.00 5,299,867,000.00 3,339,897,000.00 2,685,420,000.00 2,596,833,000.00 2,241,825,000.00 2,026,966,000.00 Top 10 recipients of capital fows 1 2 3 4 5 6 7 8 Egypt, Arab Rep. 16,378,745,000.00 Angola 11,612,332,642.07 Mauritius 9,780,817,830.92 Ethiopia 6,674,373,391.68 Nigeria 5,332,189,082.02 Morocco 4,672,915,962.25 Ghana 4,292,076,679.51 Kenya 4,116,381,405.44 1 2 3 4 5 6 7 8 Chapter 4 • Private capital fows and economic growth 103 Top 10 recipients of external debt Ghana 1,360,445,000.00 Tanzania 1,120,890,000.00 Some countries of interest Zambia 588,649,000.00 Bottom 10 recipients of external debt Central African Republic Sao Tome and Principe Guinea-Bissau Guinea Gambia Eritrea Côte d’Ivoire Sudan Botswana DR Congo Top 10 recipients of capital fows 9 Mozambique 3,741,194,343.39 10 Tanzania 2,491,309,467.33 Some countries of interest 15 DR Congo 1,012,766,047.95 Zambia 837,613,015.13 9 10 17 22 Bottom 10 recipients of capital fows 6,988,000.00 39 Eritrea 37,502,383.53 45 2,544,000.00 40 Guinea-Bissau 32,830,700.00 46 816,000.00 41 Sao Tome and Principe 42 Botswana 43 Burundi 44 Gambia 45 South Sudan 46 Côte d’Ivoire 47 Libya 48 South Africa 26,481,057.92 47 (2,937,000.00) (11,437,000.00) (14,803,000.00) (37,597,000.00) (84,864,000.00) (102,836,000.00) (207,897,000.00) 24,489,709.64 8,469,420.36 (12,963,519.34) (17,000,000.00) (49,074,110.00) (951,244,000.00) (8,857,341,368.34) 48 49 50 51 52 53 54 CHAPTER 5 Remittances and development Hanna Fromell, Tobias Grohmann, and Robert Lensink 5.1 INTRODUCTION The most common form of migration is by people who leave their homes to improve – in one way or the other – their economic opportunities. This is referred to as voluntary labor migration.1 Labor migration, both domestic and international, affects not only the economic outcomes of the migrants themselves but also the economic outcomes of those left behind: frst, through migration – that is, the outfow of people from their origin communities, countries, and labor markets – and, second, through the fnancial transfers that migrant workers send back home. These transfers are called remittances. They are the topic of this chapter. More specifcally, we focus on international remittances: fnancial transfers made by international labor migrants sent to households in their home country. In the context of voluntary labor migration, remittances result from an active migration decision of one or more members of a household aiming to increase the household’s overall income with earnings that are higher than what they would have earned at home. The recent two decades have seen a large increase in international remittances, where especially low- and middle-income countries receive large sums in comparison to the size of their economy. At the same time, international organizations and policymakers have taken increased interest in international remittances and the fnancial systems that facilitate their fows (Brown & Jimenez-Soto, 2015). On the one hand, banks consider the handling of remittances as high risk, resulting in derisking measures, such as the closure of accounts held by monetary transfer operators and the termination of correspondent bank relationships through which banks exchange banking services. On the other hand, the number of international migrants is not high enough and that there are substantial positive gains to be realized from lowering the many migration barriers in place (Clemens, 2011). In line with such more-favorable views on the role of migration, international actors are setting international targets on how to reduce fnancial and regulatory migration barriers in order to encourage individuals to migrate and take up jobs abroad and remit money home. For instance, United Nations sustainable development goal (SDG) number ten explicitly calls to reduce the transaction costs of remittances to less than 3% and to implement wellmanaged migration policies (UN, 2015). A result of the increasing interest Chapter 5 • Remittances and development 105 among international organizations and policymakers in the role of international migration and remittances has been an increase in resources allocated to researchers to advance knowledge in this area (Brown & Jimenez-Soto, 2015). Among academics from different disciplines, including economics, there is indeed an increasing interest in remittance research. Questions that have interested economists have concerned the underlying motives among migrants to send money home and the impact of remittances on their recipients, including their communities and on the home economy as a whole. In this chapter, we review and discuss the results and methodology of research that addresses remittances in a development context. We restrict our review to international remittance payments and focus on remittance fows from developed countries to developing countries. The remainder of this chapter is organized as follows. In section 5.2, we highlight the importance of remittances for development, by sketching the magnitude of current and past remittance fows to developing countries. Section 5.3 outlines some of the key characteristics of remittances. In section 5.4, we present research on the motivation for remittances. The subsequent three sections focus on the impact of remittances on their receivers: section 5.5 discusses the impact of remittances on economic growth; section 5.6 looks at the relationship between remittances and fnancial development in the recipient economy; and section 5.7 elaborates on the impact of remittances on inequality and poverty. Section 5.8 presents research on policy tools that either aim to facilitate remittance payments or aim to improve the marginal impact of remittance payments. 5.2 THE MAGNITUDE AND IMPORTANCE OF INTERNATIONAL REMITTANCES Remittance fows to low- and middle-income countries (LMICs) reached a record high of USD529 billion in 2018 (World Bank, 2019a). Figure 5.1 shows the amount for remittances, foreign direct investment (FDI), offcial FIGURE 5.1 Capital infows to low- and middle-income countries, in billions USD ($ billion) 900 FDI 700 500 Remittances 300 100 Portfolio debt & equity ˜ows ODA 19 1990 9 19 1 9 19 2 9 19 3 9 19 4 9 19 5 9 19 6 97 19 9 19 8 9 20 9 0 20 0 0 20 1 0 20 2 0 20 3 0 20 4 0 20 5 0 20 6 0 20 7 0 20 8 0 20 9 1 20 0 1 20 1 1 20 2 1 20 3 1 20 4 1 20 5 16 20 1 20 7 1 20 8 19 –100 106 Hanna Fromell et al. development assistance (ODA), and private fnancial fows (private debt and portfolio equity) received by LMICs annually since 1990 (World Bank, 2019a, p. 1). In 2018, remittances to LMICs were about three times the size of aid receipts and about as high as FDI. Moreover, remittance payments are expected to increase further in the near future. If China is taken out of the sample, then remittances have already surpassed FDI since about 2014 (ibid., p. 2). The fgure also illustrates remittances’ resilience to fnancial shocks, such as the 2007/2008 fnancial crisis to which FDI instead responded with a dramatic drop of 39.7%. Figure 5.2 plots the evolution of absolute remittance receipts for all countries, grouped by income category, in the period 1990 to 2016.2 For all income groups, we can observe an overall increase in received remittances since the early 2000s. However, the lower-middle-income countries (LMC) stand out with an especially steep increase in remittances received, while that of the low-income countries (LIC) have undergone only a meagre shift upward in comparison to the other income groups. Figure 5.3 instead plots remittances expressed in percentage of gross domestic product (GDP) by country-level income group. While remittances receipts in LICs compared unimpressively to other income groups in absolute terms, Figure 5.3 illustrates a strong positive trend in remittances as a share of GDP in low-income countries. Since around 2010, the data show a clear increase in the remittances share of GDP in LICs compared to the FIGURE 5.2 Received remittances by country-level income group, in billions current USD 300 250 200 150 100 50 Low income Lower middle income Upper middle income High income Source: World Bank’s database on World Development Indicators 20 16 20 14 20 12 20 10 20 08 20 06 20 04 20 02 20 00 19 98 19 96 19 94 19 92 19 90 – Chapter 5 • Remittances and development 107 FIGURE 5.3 Remittances in percentage of GDP by country-level income group 12% 10% 8% 6% 4% 2% Low income Lower middle income Upper middle income High income 20 16 20 14 20 12 20 10 20 08 20 06 20 04 20 02 20 00 19 98 19 96 19 94 19 92 19 90 0% Source: World Bank’s database on World Development Indicators other income groups. Although the GDP share stagnated over the past few years, this documents the importance of remittances as a source of funding for low-income countries. In the group of low- and middle-income countries, the top receivers of remittances in 2018 in absolute terms were India, China, Mexico, the Philippines, and Egypt. The top receivers in terms of the remittances-to-GDP ratio were Tonga, the Kyrgyz Republic, Tajikistan, Haiti, and Nepal (World Bank, 2019a, p. 2). BOX 5.1 Remittances statistics Country-level data on remittances, such as the statistics presented in section 5.2 retrieved from the World Bank’s World Development Indicator (WDI) database, are collected from each country’s balance of payments. This is an offcial record that accounts for incoming and outgoing international economic transactions, which are formally defned in the Balance of Payments and International Position Manual (BPM6, International Monetary Fund, 2009). According to this manual, remittances are a composite measure of two positions in the balance of payments: personal transfers and compensation of employees (capital transfers between households are left out). Personal transfers are cash or noncash transfers from migrants to domestic households that do not 108 Hanna Fromell et al. involve economic exchanges such as payments for provided services. (As we will see in section 5.4, this defnition assumes that remittances are paid from altruistic motives.) The compensation of employees instead refers to salaries paid to temporary workers (migrants who are residents of the host country for less than one year). This category is commonly included in the measurement of remittances because temporary workers are expected to return with their salaries to their origin country (Yang, 2011). Some researchers argue for excluding compensation for employees from the measure of remittances (Chami et al., 2008; Barajas, Chami, Fullenkamp, Gapen, & Montiel, 2009). The remittances indicator in the WDI database is itself partly an estimate based on the balance of payments data. The World Bank uses estimates when either no data or only partial data are available in the balance of payments of a country in a given period (for details, see World Bank, 2017, Annex A). Moreover, because the balances of payments capture remittances only if they fow through formal channels, such as electronic wire, they do not capture remittances that fow through informal channels, such as cash or goods carried across borders. While these informal remittance transfers may be small individually, they may make up a considerable portion of remittances received by households, because their overall number is potentially large. Therefore, offcially reported country-level remittance fows likely underestimate the actual amount for remittances in the world. Furthermore, changes in how remittances are measured can account for a large share of the increase in remittance in the period 1990–2010 (Clemens & McKenzie, 2018, see also section 5.5.2). Several ways are available for migrants to send remittances back home. We can distinguish between formal and informal channels. Formal channels are provided by remittance service providers (RSPs), which are classifed into four groups: banks, money transfer operators (e.g. Western Union), post offces, and mobile operators. The payments that go through these channels are offcially reported and appear in the offcial statistics seen in Figures 5.1, 5.2, and 5.3. In contrast, remittances sent via informal channels (e.g. in kind or in cash through returning relatives and friends or through transport companies) are typically not included (see also Box 5.1). The World Bank also provides data on the costs of sending remittances. According to their Remittances Prices Worldwide3 database, in the frst quarter of 2019, the global average of sending remittances was at 6.94% of the remitted amount (World Bank, 2019b). To compare, in 2009, when these data were frst collected, the global average was recorded at 9.67%. This marks a decline of almost 3%. Reducing the costs of remittances is subject to many international development agreements. For example, the UN SDGs state a target of reducing the global average to under 3%. Chapter 5 • Remittances and development 109 Given this general picture of remittances to developing countries, we next highlight some of the specifc characteristics of remittances that make them relevant in a development context. 5.3 CHARACTERISTICS OF REMITTANCES 5.3.1 Remittances are person-to-person transfers The most important difference between remittances and other sources of external funding of developing countries is that remittances are person-toperson transfers. In contrast, ODA are government-to-government transfers, and FDI are frm-to-frm transfers (Frankel, 2011; Glytsos, 2002). This suggests that remittances could be effective as stimulators of development. To see this, recall that remittances are the result of an active migration decision leading to higher earnings abroad that are shared with those left behind. Ideally, then, remittances arrive directly where they are most needed at relatively low cost and effort. Hence, they may be effective in tackling poverty and in raising the economic opportunities of their receivers. In contrast, to fully unlock the development potential of ODA, a high level of institutional quality and organization would be required (Burnside & Dollar, 2000). Ineffcient governance structures may cause portions of the aid fows to trickle away. Similarly, in order for FDI frm-to-frm transfers to raise incomes and opportunities of the poor, they need to be passed along effciently in the form of better employment opportunities and higher wages. So in virtue of their person-to-person nature, remittances have the potential to be a direct form of fnancing development. Yet whether they are more effective than ODA and FDI also depends on whether both senders and receivers of remittances have indeed better information than governments and other organizations about where funding is needed. 5.3.2 Remittances and resource allocation One important aspect to consider when investigating remittances in a development context is that they could change the spending behavior of their recipients. That is, the receipt of remittances may change the recipient household’s resource allocation: how much income the household allocates on investments vis-à-vis consumption. We present two views that are based on microeconomic theory. One view is that the receipt of remittances does not change the spending behavior of households. Here the hypothesis is that remittances are a fungible source of income and that remittances are thus just like any other source of household income (Stark, 1991). This implies that each additional dollar from remittances is spent on exactly the same proportions of consumption and investments as any additional dollar from regular income. Hence, remittances would increase consumption and investment proportionally. This implies that remittances have the potential to promote longterm economic growth in the recipient country through their positive effect on investments while reducing short-term growth fuctuations and shortterm poverty through their positive effects on consumption. 110 Hanna Fromell et al. The contrasting view is that the receipt of remittances can change the spending behavior of households. Here the underlying assumption is that the life cycle hypothesis (LCH) holds. This means that individuals aim to even out their consumption over their life cycles. If this is the case, then there are two scenarios: the household could allocate the additional remittance income either to investments or to consumption. This depends on whether remittance payments are perceived as transitory (one-off payments) or permanent income fows. If remittances are perceived as transitory payments – that is, raising the recipient’s income only in the current period – households will spend a larger portion of their remittances on investment. This is because they save (invest) their transitory income to distribute consumption over future periods. If, however, remittances are considered permanent, recipients will increase their consumption signifcantly already in the period of the frst receipt. Some authors (Adams & Cuecuecha, 2010) believe that remittances are perceived as a transitory income, while others point to evidence that a signifcant proportion of remittances are spent on ‘status-oriented’ consumption goods (Chami, Fullenkamp, & Jahjah, 2003), which would indicate that remittances are treated as permanent income. Thus, under the assumption of the LCH, remittances could be either more effective in promoting short-term growth effects (through consumption) or more effective in driving long-term economic growth (investments). Another reason why remittances may change receiving households’ resource allocation is that they are often earmarked for nonconsumption purposes such as housing, farm equipment, or the education of younger household members (Taylor & Wyatt, 1996; Brown & Jimenez-Soto, 2015). This view implies that remittances have a positive impact on long-term economic growth because they are spent more on the margin on investment goods rather than on consumption. 5.3.3 Are remittances countercyclical? Remittances are often seen as countercyclical cashfows, meaning that remittance fows increase – or at least do not decrease – when the economic situation in the remittance-receiving country deteriorates (Spatafora, 2005; Frankel, 2011; De, Islamaj, Kose, & Yousef, 2016). If this holds true, remittance fows could serve an informal insurance against economic uncertainty for recipient households. They could provide fnancial assistance when faced with negative income shocks, such as bad harvests. This would constitute positive impacts on welfare and economic development in poorer countries. Yet the assertion that remittances are countercyclical for recipient countries is not undisputed in the literature (e.g. Ruiz & Vargas-Silva, 2014). According to theory discussed in section 5.4, countercyclicality should only hold for remittances that have been purely motivated by altruism, as opposed to self-interest. Self-interested remittances are made for investment motives only. Thus, if motivated purely by self-interest, they would stop fowing to receiving countries that are in an economic downturn simply because there are no gains to be made; the senders’ money would be Chapter 5 • Remittances and development 111 invested more proftably elsewhere. Moreover, if motivated by self-interest, we would expect them to be largely procyclical with respect to the recipient country. If so, then the potentially benefcial impact of remittances on economic development in the poorest countries might vanish. So whether or not remittances have a positive impact on development in poor countries also seems to depend (at least to a certain degree) on the motives of their senders (De et al., 2016). What about cyclicality with respect to the remittances-sending country? If economic conditions in the host country of the migrant worsen, for example, when unemployment rises, then migrants may not be able to earn as before and reduce their remittances. So while remittances may be either procyclical or countercyclical with respect to the economic conditions in the recipient country, they are likely to be procyclical with respect to the sending country. On a macroeconomic level, however, the procyclicality of the remittance-sending country does not seem to be pronounced. For example, the data in section 5.2 suggest that remittance fows remained relatively stable over the fnancial crisis in 2007–2008. 5.4 MOTIVATIONS TO REMIT Given remittances’ substantial share of total capital infows in many developing countries, we look into what motivates migrants to remit. We here present some of the motivations behind remittances frequently discussed in the literature. For each of the motivations, we introduce a bit of theory from which empirical hypotheses can be derived. We then also point to studies that have tested these hypotheses empirically. One challenge for the literature is to disentangle observable outcomes such that motives to remit can be derived from them. This is because motivations to remit should not be seen as mutually exclusive; migrants may well have mixed motives to remit (section 5.4.5). But as we will see, with careful formulations of hypotheses, different motivations for remitting money back home can have different implications for the behavior of the remittance-sending migrant and the remittance-receiving household. 5.4.1 Altruism Perhaps the most apparent reason why migrants remit is that they care about the well-being of the people in their home country, such as family and community members, and prefer to share some of their income with these recipients. In other words, their remittances are altruistically motivated. Using a mutual altruism framework, in which the migrant as well as the recipient care for each other’s well-being, Rapoport and Docquier (2006) show analytically how the volume of the altruistic remittance transfer depends on the altruistic preferences of migrant and recipient as well as on their respective incomes. First, the transfer increases with the altruistic preference of the migrant. That is, the higher the transfer, the more the migrant cares about the well-being of those left behind. This is a result that we would expect from transfers under altruism. Second, maybe surprisingly, 112 Hanna Fromell et al. the transfer decreases with the altruistic preferences of the recipient. The intuition is that because the migrant knows that the recipient cares about the migrant’s well-being and is therefore harmed when the migrant has to transfer money, there will be lower transfers. In other words, the recipient allows the migrant to keep more of the earnings. Hence, the more the recipient cares about the well-being of the migrant, the lower the required transfers. Third, the altruistic remittances transfer increases with the migrant’s income. The intuition is that if there is more to share on part of the migrants, then the additional income will be shared, depending, of course, on how much they care about those left behind. Fourth, the altruistic transfer decreases with the recipient household’s income. The intuition is that migrants have an a priori preference for a certain distribution of consumption between themselves and their family. They use both their own income and the nonremittance income of the recipient household to ensure this distribution. Thus, if they see that income at home (in the recipient household) increases, they do not feel compelled to remit as much as before, because they assume that the consumption needs are satisfed. Since altruistic preferences of migrants and recipients are not directly observable, the literature has tested the two implications regarding increases of the migrant’s income and regarding increases of the recipient’s income. However, because the hypothesis that remittance transfers increase when migrant incomes go up is consistent with many other motivations to remit (e.g. insurance; see section 5.4.3), reliable evidence for altruistic remittances can be found by testing the hypothesis that the migrant should remit less if the recipient’s income increases. In contrast to this prediction, much evidence speaks against the pure altruism hypothesis, since the distribution of consumption indeed varies with the distribution of income. For example, an early study in Botswana by Lucas and Stark (1985) shows that receipts of remittances are not higher among households with a lower pretransfer income than among richer households, holding the level of income of the remitting party constant. Yet Agarwal and Horowitz (2002) fnd that remittances are lower for households who receive remittances from more than one migrant. They interpret this as evidence consistent with altruism given that additional remittances from others should increase income and lower the needs for remittances by any single migrant. 5.4.2 Exchange Another studied motive for remitters is that of exchange, whereby migrants remit money to pay for services, such as taking care of young family members and elderly family members or maintaining their property. Rapoport and Docquier (2006) show in a simple model for such motivations that remittances are expected to increase with the amount of services required, but that there is no clear prediction about their response to a change in the recipient’s income (see Box 5.2). Yet the maximum amount that the migrant would be willing to remit increases with the migrant’s income, similar to the altruism motive. An increase in the recipient’s income should increase their opportunity cost of providing services for the migrant. This implies that they Chapter 5 • Remittances and development 113 require a higher payment for providing services, thus increasing the minimum amount that the recipient would be willing to accept from the migrant. This also means that an increase in the recipient’s income may decrease the probability of receiving remittances while increasing the amount of received remittances. Notably, this is in contrast to what is predicted by an altruistic model, according to which an increase in the recipient’s income always decreases both the probability of receiving and the received amount. Moreover, according to the exchange model, an increase in the employment rate in the remittance-receiving country would increase the recipient’s bargaining power and thereby increase the amount received. That is, the recipient at home would have higher opportunity costs (e.g. through better employment opportunities) and would require higher remittances to offset these. The opposite prediction would instead be made if migrants’ motives were formed as described by the model of pure altruism. In this case, the recipient’s income rises through better employment and their consumption increases. As discussed earlier, this leads the remitting migrant to reduce the amount of remittances sent. Evidence for the exchange hypothesis is provided by Lucas and Stark (1985), who conducted a study in Botswana. They found that sons remit greater amounts to families with large herds, which could be because the sons pay family members at home to look after their cattle. These fndings are also consistent with a motive to inherit, which is discussed in section 5.4.4. However, the altruism motive cannot be ruled out, because the larger remittances were possibly a cause of – rather than a response to – large herds held by the household at home. BOX 5.2 Modeling exchange-driven motivations The model explaining remittances as a result of exchange-driven motivations presented by Rapoport and Docquier (2006) uses a framework in which remittances are regarded as a means to pay for services, denoted X, that the recipient household provides to the migrant. Such services could be taking care of younger or older family members or maintaining property at home. The migrant and the recipient household each has a utility function given by U i (C i ,X), where i = m,h; here m is the migrant and h is the recipient household. Since the services generate utility for the migrant but are costly in terms of exerted effort to the recipient household, the marginal effect of services on utilities ˜V h ˜V m > 0 . For the recipient house> 0 and can be defned as ˜X ˜X hold, with a given pretransfer income, Ih, to be willing to provide the requested number of services, the offered transfer, T, must be such that V h ( I h +T , X ) ˝ V h ( I h , 0). That is, the recipient’s utility obtained from providing the service in exchange for payment must be at least as high as the utility that they 114 Hanna Fromell et al. can obtain from declining. This participation constraint can be solved for T: the minimum payment required for the recipient household to be willing to provide the requested services depends on the size of the services and on the recipient’s pretransfer income. It then follows that ˜T < ˜T ˙ 0 and > 0. Remittances are thus predicted to increase with h > ˜X ˜I the number of services required, but there is no clear prediction about their response to a change in the recipient’s income. 5.4.3 Insurance for household at home Remittance payments could also be motivated by an insurance, where the transfers from the migrant insure the recipient household against negative income shocks. In such an arrangement, one would expect a negative relationship between remittances and income fuctuations of the recipient. De la Brière, Sadoulet, Janvry, and Lambert (2002), who study remittances to households in the Dominican Republic, fnd some support for an insurance contract between female migrants and their parents, where remittances increase when parents experience a loss in number of working days. Further evidence consistent with the insurance motive comes from studies designed to address problems associated with potential endogeneity (e.g. reverse causality and omitted variables). This is because an insurance motive can only be identifed if the relationship between remittance transfers and domestic income shocks can be separated from other factors that affect both in the same direction. For example, remittances could fund productive investments and lead to increased income, or as discussed earlier, they might also reduce domestic income by reducing the recipients’ labor force participation. Such factors should be excluded in order to identify the negative relationship between remittances and income that is predicted by an insurance motive. Clarke and Wallsten (2003) address reverse causality by using panel data techniques, and Yang and Choi (2007) use variations in rainfall as an instrumental variable (IV) for income variation. Both fnd evidence that suggests an insurance motive for remittance payments. On the other hand, the fnding from Agarwal and Horowitz (2002) that remittances vary depending on whether the household receives remittances from more than one migrant are inconsistent with the insurance motive. The fnding is indeed also inconsistent with exchange motives, in which remittances function to pay for services or pay back a loan. 5.4.4 Investment for bequests Because motives such as exchange and insurance build on informal agreements between households and migrated household members, a problem of moral hazard arises, whereby the migrant has an incentive to deviate from their promise to remit. The threat of depriving the migrant from their inheritance rights may thus work as an enforcement mechanism (Rapoport Chapter 5 • Remittances and development 115 & Docquier, 2006). De la Brière et al. (2002) present evidence that migrants remit for bequest purposes, by showing that there is a positive association between the remitted amount and land assets of households: migrants from wealthier families tend to remit more than migrants from poorer families. 5.4.5 Mixed motive While most of the literature discussing the motivation to remit strive toward fnding the one motive that best explains remittances, there is widespread recognition that several motives can simultaneously drive a given migrant to send money home. For example, Cox, Eser, and Jimenez (1998) allow for remitters to be driven by both altruism and exchange motives. They suggest that the enforcement of the repayment of a loan could partly be solved through the loyalty and guilt aversion of the remitter toward the recipient. The exchange of money for services can refer to past services, namely any assistance or loans received that served to aid in the process to migrate. The household and the migrant member of the household would then enter into an informal contract in which the migrant takes a loan from the other household members to fnance the expenses necessary to migrate. Cox et al. (1998) use data from a Peruvian household survey and fnd evidence for a bargaining-cum-altruism framework (mixed motive; see section 5.4.5), in which a member of the household (the prospective migrant) takes a loan from another member of the household to allow for the smoothening of consumption over time and where remittances are used to repay the loan. In this framework, the recipient’s pretransfer income can have a positive impact on the received remittances for lower levels of income and a negative impact at higher income levels. The rationale is that the recipient’s income positively affects their ability to sustain themselves without borrowing money from the sender, which improves their relative bargaining power over the terms of these loans and causes a positive impact from the recipient income on the transfer amount. On the other hand, increased pretransfer income eases the liquidity constraint of the recipient, making them less in need of the money transfer. For lower levels of recipient pretransfer income, the effect of improved bargaining power dominates that of becoming less in need of additional income, producing an initial positive relationship between income and remittances. 5.5 REMITTANCES AND GROWTH The previous sections already anticipated that remittances may have a positive impact on economic growth in the recipient country. This section deals specifcally with the impact of remittances on economic growth. In section 5.5.1, we describe, theoretically, the various channels through which remittance infows may potentially impact growth. In section 5.5.2, we discuss how empirical studies have tried to identify the effects of remittances on growth and which methodological challenges they face. As will become apparent, the empirical literature has so far been unsuccessful to deliver unambiguous results regarding remittances’ impact on economic growth. 116 Hanna Fromell et al. 5.5.1 Theory4 To structure our discussion of the various channels through which remittances may affect overall economic growth, we use a standard growth accounting framework. In this framework, the output growth of an economy is broken down into separate contributions of the two main production factors: capital and labor. The residual growth of the economy, which is not accounted for by growth in capital or labor, is attributed to technological progress, expressed by total factor productivity: how effectively the economy uses its production factors. This theory section is divided into three parts, each representing a separate channel through which remittances may affect economic growth: 1 Capital accumulation (physical and human). 2 Labor force growth. 3 Total factor productivity. Remittances may affect the rate at which an economy invests in economically productive goods (physical capital) and in the skills, knowledge, and experience of its labor force (human capital). There are at least three potential mechanisms through which remittances can alter physical capital growth. First, remittances may directly impact physical capital growth simply by providing additional resources for investments. The assumption here is that income from remittances is saved by the remittance-receiving households. Thus, private savings in the economy increase, which means that in our standard growth accounting framework investments also increase (cf. savings–investment identity). Investments are assumed to be spent on productive goods, and in this way, the economy grows. This requires that households spend part of the received remittances on saving or investment and thus perceive them as transitory income (see section 5.3.2). Second, there is a potential indirect effect of remittances on investment via an increase in total income and collateral. This may improve the creditworthiness of remittance-receiving households and ultimately increase their ability to invest in economically productive projects. Third, remittances may have a positive effect on macroeconomic stability and thus shape a positive economic climate for investment. Yet remittances do not obviously have a positive impact on investments and thus on economic growth. As discussed in section 5.3.2, if remittances are not perceived as one-off payments (i.e. transitory income), but rather as a permanent infow of additional income, they may stimulate consumption rather than investment – even in the presence of credit constraints (recall that the second mechanism operates through creditworthiness). Remittances may therefore have a relatively small impact on long-term national aggregate output but a larger impact on reducing short-term output fuctuations and short-term poverty (see section 5.7.2). Remittances may also affect human capital accumulation. Keeping the size of the labor force constant, remittances may raise the effectiveness of labor, such as by improving sanitary conditions, facilitating healthier lifestyles, making healthcare possible, and creating educational opportunities. Chapter 5 • Remittances and development 117 Remittances may also indirectly affect human capital accumulation by reducing the need for child labor, which, for households in developing countries, is often a way to generate more income. If children are sent to work in order to generate more household income, they usually abandon school at relatively young ages and forgo educational opportunities. By increasing household income, remittances may also reduce the need for child labor, increase educational attainment, improve health, and so increase human capital. Remittances may affect economic growth through their impact on labor force participation, which alters the size of the economy’s labor force. Here the impact of remittances is likely to be negative, because the receipt of remittances may create disincentives for receivers to supply labor (see Chami et al. [2003] for a formal model). The labor supply reduction can be explained by an income effect as well as by a substitution effect (AmuedoDorantes, 2014). To see this, consider that labor supply decisions arise from a trade-off between allocating time on leisure versus allocating time on work. Remittances are a form of nonlabor income and thus increase the income of the receiving households and raise their reservation wage. That is, they call for a higher price for their labor and demand higher wages. If there are no jobs with that wage, then receivers increase the time they allocate to leisure and reduce the time they allocate to work; this is the income effect. On the other hand, under the assumption of altruistic remittances, moral hazard and asymmetric information problems may arise. That is, receivers may be incentivized to purposefully reduce their labor supply in order to continue receiving the remittance payments from the remitter; this is the substitution effect. The assumption of altruistic remittances is important here because the remitted amount is tied to the income of the receiving household at home (see section 5.4.1). The moral hazard is that the cost of the risky decision to reduce labor supply is covered by the remitter; the receiver can afford to reduce labor supply, because remittance fows come in. This situation arises because the remitter has incomplete information about the labor supply decisions of the members of the receiving household. Finally, remittances may also impact economic growth in the receiving country by affecting total factor productivity (TFP) growth. This can occur if remittances alter the quality and effciency of the fnancial system with respect to fnancial intermediation and the allocation of capital (see Barajas et al., 2009). Yet it is not certain whether such TFP effects are positive or negative. For example, if remittances are used by the remitter to invest capital in the receiving country, then remittances could either increase or decrease the quality of fnancial intermediation. That is, if the person making the investment has an informational advantage (disadvantage) over domestic formal intermediaries, the quality of fnancial intermediation would increase (decrease) in the recipient country, and TFP growth would increase (decrease). By increasing the size of capital fows in the receiving country’s banking system, remittances could also lead to positive economies of scale. That is, because an increased productivity of the fnancial sector would lower the costs of fnancial intermediation, remittances could spur TFP growth. Remittances may also increase the fnancial literacy of their recipients, as they learn about fnancial products. This could have a positive 118 Hanna Fromell et al. impact on their investment decisions, leading to investments into moreproductive activities. Yet remittances may also hinder TFP growth and have negative effects on economic growth in the long run through Dutch-disease effects (see Box 5.3) 5.5.2 Empirical evidence The theoretical arguments in the previous section provide ambiguous predictions regarding the impact of remittances on home-country growth; the effect could be positive (e.g. via investments) or negative (e.g. via labor force participation). Moreover, various mechanisms could offset each other. Consequently, researchers have tried to empirically determine the effect of remittances on economic growth. The literature in this feld typically implements cross-sectional or panel data in a standard growth regression framework to determine the impact of international remittances on economic growth. Remittances are then included as the explanatory variable of interest among a standard set of growth variables. For example, a cross-sectional specifcation of such a growth regression could take the following form: ˇyi = ˜0 + ˜1 y0i + ˜2 REMi + ˜3 Xi + °i , where ˇyi is the growth rate of economic output in country i, measured by the log of real GDP per capita; y0i is the initial value of yi; REMi is remittances received by country i; and Xi is a set of control variables that account for determinants of economic growth other than remittances. Some studies choose to replace REMi – that is, the current level of remittance infows – with ˇREMi, the change in received remittances between the initial and fnal period. This is to better capture the dynamic nature of remittance fows. Xi , the set of control variables, may include variables such as domestic investment, education, net private cashfows, exchange rate changes, and measures for institutional quality or fnancial development. Usually, REMi and Xi are expressed in their ratio to GDP to account for the size of the recipient economy. One of the frst studies that investigates the impact of remittances on economic growth in a large cross-country study, rather than a single-country study, is Chami et al. (2003). Before their study, constraints on data availability made studying the impact of remittances on a larger sample of countries infeasible. Chami et al. (2003) use cross-section and panel estimations on a dataset with 113 countries in the period 1970–1998. They regress growth in real GDP per capita on (the change of) the remittances-to-GDP ratio. Their results suggest a negative effect of remittances on economic growth. BOX 5.3 Dutch disease Remittances may affect economic growth of the recipient country by affecting the real exchange rate in the economy. Such effects are called Dutch-disease effects. Assuming that the receipt of remittances increases consumption and that prices in the traded sector are Chapter 5 • Remittances and development 119 exogenously given on the global market, higher remittance infows lead to higher relative prices on nontradable goods. This leads to a shift of resources towards the nontradable sector. Moreover, an increase in relative prices of nontradable goods corresponds to an appreciation of the real exchange rate, which reduces the competitiveness of the economy in international markets and ultimately causes a contraction of the traded sector. Since the traded sector generates positive externalities for the nontraded sector, this may ultimately result in a reduction in the competitiveness of the nontraded sector as well. This results in a loss of overall TFP growth in the economy and has negative impacts on long-term economic growth. A study by Lartey, Mandelman, and Acosta (2012) substantiates the Dutch-disease effects of remittances, by estimating whether remittances have an impact on the real exchange rate of remittancereceiving countries. To do this, they estimate the following function: p RERit = ˛ REM j=0 j it−j + ˜2 Xit + (˝i + ˙t + °it ), where RERit is the real exchange rate in country i at time t, REM remittances, Xit a set of control variables, ˝i time-invariant country-specifc effects, ˙t time-specifc effects and °it an idiosyncratic p ˛ allows for longer lags of remiterror term. The expression j=0 j tances in order to capture the delayed effects of remittances on the real exchange rate. Using dynamic panel estimators on a panel of 109 developing and transitioning countries from 1990 to 2003, Lartey et al. (2012) fnd evidence for a Dutch-disease effect of remittance by showing that remittances lead to an appreciation of the real exchange rate. AmuedoDorantes and Pozo (2004) fnd similar evidence. Lartey et al. (2012) also show that an increase in received remittances leads to a shift from the tradable to the nontradable sector and a decline in the output share of the manufacturing sector, while the output share of the service sector increases. Both of these symptoms serve as further evidence for the Dutch-disease effects of remittances in developing countries. Although Lartey et al. (2012) do not investigate the effects on economic growth or welfare in their sample, their fndings lend credibility to the hypothesis that remittances can lead to a decrease in economic growth through a reduction of TFP via Dutch-disease effects. Chami et al. (2003) formalize a model that predicts moral hazard problems under asymmetric information when remittances payments are understood as altruistic transfers. This serves to formulate testable hypotheses regarding the impact of remittances on economic growth. Recall from the theory in section 5.5.1 that altruistically motivated remittances can create incentives to reduce 120 Hanna Fromell et al. labor force participation. Their model, therefore would predict a negative impact of remittances on economic growth in remittance-receiving countries. Although the authors do not test this model explicitly, because they lack data on the labor force participation of migrant versus nonmigrant households in all the countries, they provide indirect evidence for the two main predictions of their model. First, they fnd that remittances are countercyclical: they increase with negative economic growth in the receiving country. Chami et al. (2003) take this as evidence for altruistic transfers. Second, their results suggest that remittances have a negative impact on economic growth in recipient countries. Together, these two results can be taken as indirect evidence that the receipt of remittances reduces labor force participation. The reason is that only the labor force participation channel is consistent with these two fndings. One of the central methodological challenges in empirical remittance research is to control for the potential endogeneity of remittance fows. Of most concern to researchers is endogeneity due to reverse causality. To see this, consider not only that remittances may affect economic growth but also that economic growth affects the occurrence and size of remittance fows. This is true for countercyclical remittances and procyclical remittances: in both cases, remittance infows depend on the economic conditions in the receiving country. Moreover, recall that the initial migration decision of labor migrants is typically based on the expected economic outcomes faced by potential migrants at home and abroad. So the mere fact that people are able to send remittances as migrants depends on the economic output of their origin (and destination) countries. Additionally, it seems impossible (or excessively costly) to control for all potential factors that impact both remittances (migration) and growth. Thus, the relationship between remittances and growth appears to be riddled with potential sources of endogeneity. Chami et al. (2003) address these endogeneity concerns by using an instrumental variable (IV) strategy. More specifcally, they use lagged income ratios and lagged interest rate ratios between remittance-receiving countries and the US to instrument remittance fows. The US is taken as a general proxy for all remittance-sending countries. The idea behind this IV strategy is that while the income gaps and interest rate gaps to remittancesending countries may generate remittance transfers (relevance), they do not determine the economic performance in the recipient country (exclusion) (Chami et al., 2003, pp. 19–21; for more on IV in remittances and migration research, see Box 5.4).5 BOX 5.4 Instrumental variables in remittance (and migration) research As mentioned several times earlier in this chapter, remittance (and migration) research faces serious endogeneity issues. A popular, and potentially powerful, remedy to endogeneity issues is to use IV regression. If you are unfamiliar with the terms ‘endogeneity’ and ‘instrumental variables’, please refer to standard econometric textbooks. Chapter 5 • Remittances and development 121 Two commonly used instruments in remittances and migration research are distance (e.g. from migrant origin to residence at destination) and migrant networks (e.g. the number of migrants from the same origin that already reside at destination). Both these instruments appear relevant, but there are major concerns regarding their exclusion restriction. The intuition behind the distance instrument is that the greater the distance between origin and destination, the fewer people who will migrate because of associated migration costs. Indeed, there seems to be an inverse relationship between distance and migration fows. Hence, distance should predict migrations – and therefore remittance fows – reasonably well. However, arguing that the distance between origin and destination does not affect (or correlate with) outcomes either at origin or at destination is diffcult. For example, the distance between developing African countries and the destination regions of Europe and North America is certainly indicative not only of migrant fows but also of trade fows, colonial ties, and investment fows, all of which affect income, poverty, and education differences between those countries. Thus, distance affects outcomes not only through migration but also through other channels. Exclusion has most likely not been satisfed. See our discussion of the instruments used by Adams and Page (2005) in section 5.7.2. The intuition behind the network instrument is that the greater the number of people who already live at destination, the lower the costs associated with migration. Prospective migrants do not have to organize their move on their own but rather can rely on networks and even institutionalized channels that help them move and settle in. So relevance is usually satisfed, but the exclusion restriction requires some arguing: the reason why some people have different networks than others is exogenous. Are there omitted variables that would explain both the network and the outcome? The education levels of ancestors, which often are unknown, can affect historical migrations (more educated people are more likely to migrate) and income inequality (people from more educated families are more likely to be richer). Hence, the reason that some have better networks than others is not exogeneous but rather endogenously determined by past education levels. Thus, the exclusion restriction is violated. The previous examples illustrate how diffcult fnding good instruments in migration research is. The following could work as a general rule of thumb to fnd an instrument that satisfes the exclusion restriction: if the outcome variable is measured at migrant origin (e.g. incomes of remaining household members), then as an instrument for migration or remittances, use a variable measured at destination (e.g. migrant network); in contrast, if the outcome variable is measured at destination (e.g. earnings of migrants), use an instrument measured at origin (e.g. rainfall shocks at home). If one is worried that migrant 122 Hanna Fromell et al. networks do not predict remittance fows well enough, then the instrument could be constructed, for example, as network * employment at destination. This would also capture the economic conditions at destination, including the ability of migrants to fnd (well-paying) jobs, and thus capture the migrants’ ability to send remittances. The foregoing rule of thumb can make easier fnding instruments that do not affect the outcome directly but only through migration and remittances. So chances are higher to satisfy the exclusion restriction. However, we recommend paying close attention to justifying the IVs properly, because experienced researchers excel at questioning the validity of instruments. Since the study by Chami and others (2003), numerous other studies have attempted to estimate the effect of remittances on economic growth in the recipient countries (Spatafora, 2005; Faini, 2007; Acosta, Calderón, Fajnzylber, & Lopez, 2008; Chami et al., 2008; Mundaca, 2009; Lartey, 2013; Acosta, Lartey, & Mandelman, 2009; Lartey et al., 2012; Imai, Gaiha, Ali, & Kaicker, 2014, 2016; Feeny, Iamsiraroj, & McGillivray, 2014; Giuliano & Ruiz-Arranz, 2009). These studies differ with respect to their choice of remittance measure, estimation technique, IVs, study period, and selections for countries to study. Despite all these attempts, we don’t know whether the receipt of remittances increases or decreases a country’s long-term growth. Hence, we cannot conclude on their macroeconomic impact on development in cross-country studies. We conclude this section by discussing how to interpret the ambiguous results in the literature. For example, Clemens and McKenzie (2018) argue that the reported ambiguous empirical results are due to problems that are more fundamental than the issues regarding specifcation, sample choice, and instrumentation strategy typically mentioned in the literature. They offer three explanations for the ambiguous results in the literature. First, they argue that the observed increase of remittance payments in macro data (e.g. balance of payments; see Box 3.1) does not concord with the growth of remittances observed in micro data (e.g. household surveys). They show in their paper that only 21% of the growth in remittances observed between 1990 and 2010 can be attributed to the actual growth of the migrant stocks and migrant earnings. The remaining 79% are attributable to changes in the measurement of remittances. So if remittance growth that we observe in macro data is illusory rather than genuine, then it is also not surprising that we cannot detect consistent effects on growth. Second, they show that, even if the macro data was correct, growth regressions (as discussed earlier) lack the statistical power to even detect any effects on economic growth. And third, they argue that even if there were detectable effects of remittances on home-country GDP growth, they would likely be offset by reduction of the labor force in the home country through migration itself. A similar issue returns when estimating the impact of remittances in micro data on Chapter 5 • Remittances and development 123 household incomes (see section 5.7). Yet their third argument highlights an important issue for remittance research: whenever we want to establish an effect of remittances on indicators in the origin communities of migrants, we should do so while taking into account that remittances always occur in conjunction with (or as a consequence of) migration itself. Remittance fows are always preceded by migration fows in the opposite direction. But does this mean that empirical studies into the development effects of remittances are futile altogether? Concluding that it does would be too quick. As Clemens and McKenzie (2018) argue, although currently available macro data on remittances may display the shortcomings addressed earlier, data become more available in better quality through research and legislation efforts, such that growth regression studies may become feasible in the future after all. Moreover, it may be more important in the development context to know whether remittances can help receivers to overcome hardship and to escape poverty than to know that remittances incite domestic investment and economic growth.6 As mentioned earlier, remittances may have other crucial benefcial effects on receiving households and communities. Following this line of thought, we address such effects in the remainder of this chapter. In section 5.6, we discuss the relationship between remittances and fnancial development. In section 5.7, we present research on the impact of remittances on household incomes – especially with respect to income inequality and poverty. In section 5.8, we also discuss potential policy tools available to policymakers that may help to increase the benefcial effects of remittances on their receivers. 5.6 REMITTANCES AND FINANCIAL DEVELOPMENT In this section, we look at the relationship between remittances and fnancial development in a remittance-receiving country. On the one hand, the development of the fnancial system of the remittances-receiving country may be a catalyst for the impact of remittances on economic growth. On the other hand, remittances may directly improve fnancial development and so contribute to mitigating poverty and inequality in the receiving country. We discuss both options in turn. It seems almost obvious that better fnancial development, expressed as the ratio of credits provided by the banking sector (the depth of fnancial system), facilitates the impact of remittances on economic growth. This is because a more developed fnancial sector may enhance the effcient allocation of remittance infows toward proftable investments. Thus, remittances may have a greater impact in countries with more-developed fnancial sectors. However, this need not be the case. Instead, remittances to developing countries could provide funding for frms and households that do not have access to formal credit markets and so stimulate economic growth. This implies that remittances substitute for credit and would have a greater impact on growth in countries with a less developed fnancial system. A well-known study testing the extent to which the impact of remittances on growth depends on fnancial sector development is that of 124 Hanna Fromell et al. Giuliano and Ruiz-Arranz (2009). Using a sample of about a hundred countries for the 1975–2002 period, they estimate the following equation by using ordinary least squares (OLS) as well as system GMM: GDPit = ˜0 + ˜1GDPi ,t−1 + ˜2 REMit + ˜3 FINDEVit +˜4 REMit * FINDEVit + ˜5 Xit + µt + ˙i + °it Here GDP denotes GDP; REM denotes remittances over GDP; FINDEV denotes the measure for fnancial development (measured in four ways); and X is a vector of controls. The last three terms refer to a time-fxed effect, a country-specifc fxed effect, and an error. The coeffcient of interest is β4: a positive (negative) signifcant β4 indicates that the marginal impact of remittances on growth positively (negatively) depends on the development of the fnancial sector. The study fnds strong support for a negative interaction between remittances and the development of the fnancial sector. In other words, the marginal impact of remittances on growth decreases with fnancial development. Moreover, the study also fnds that remittances increase economic growth. Thus, the results in Giuliano and Ruiz-Arranz (2009) support the hypothesis that remittances are used as substitutes for credit and that remittances help provide an alternative way to fnance investment. To corroborate this fnding, they also show that remittances seem to drive investments in the less fnancially developed countries. Hence, as suggested earlier, remittances seem to have benefcial effects on households; they appear to lift credit constraints on investments. Another, more substantial group of literature argues that remittances may enhance fnancial inclusion and via this channel may improve inclusive growth and reduce poverty. Thus, in contrast to the frst group of literature that argues that impacts of remittances on growth depend on the development of the fnancial sector, this literature claims that remittances affect the development of the fnancial sector. Development benefts from fnancial inclusion can be substantial and diverse since access to fnancial products may help poor households reduce their level of poverty and deal with shocks. For instance, access to savings accounts enables households to build up a fnancial safety net, which may induce income-generating activities and thus reduce poverty. In general, fnancial services can encourage people to accumulate savings and spend more on necessities, such as nutritious foods, education, and farming equipment and other business investments (Demirgüç-Kunt, Klapper, Singer, Ansar, & Hess, 2018). The growing body of research that points at the enormous development benefts of fnancial inclusion makes necessary determining whether and to what extent remittances are able to increase fnancial inclusion. The frst step towards fnancial inclusion is owning a bank account. Thus, the relationship between remittances and fnancial inclusion seems clear: many migrant households – that is, the migrants and their relatives back home – open and use bank accounts to send and receive remittances. Hence, sending and receiving remittances facilitates fnancial inclusion at home and abroad. However, there are several additional reasons why Chapter 5 • Remittances and development 125 remittances may cause fnancial inclusion, both via the demand side and via the supply side of fnancial products. On the demand side, remittance infows may encourage remittance receivers to demand fnancial products if the remittances are channeled through a bank account and thus induce the receiver to interact with a bank. The established relationship with a bank may lead to demand for additional fnancial products, such as savings, credit, and insurance products. Remittances may also increase fnancial inclusion via the supply side: commercial banks have realized that the remittance channel can be used to promote fnancial services among lowincome individuals. Also, credit unions have started to develop remittance services by allowing members and nonmembers to send money electronically. Bridging remittance senders and receivers, credit unions often offer other fnancial services, such as savings accounts (Grace, 2005). In addition, due to remittance infows, fnancial institutions can build a fnancial history of poor people who haven’t had access to the fnancial sector before. Thus, remittance infows enable poor people to build a sound fnancial history with a fnancial institution, which reduces informational asymmetries and improves access to credit. As mentioned earlier, remittance infows may function as a substitute for a job and a regular income. Many migrated family members regularly send money home to sustain their family, such that this remittance infow becomes comparable to regular income. The remittance infow informs the bank about income and expected future funds of the remittance receivers, which may be used to repay loans, and hence provides information about creditworthiness. Becauase remittance infows are often countercyclical – that is, remittance infows often increase during adverse circumstances at home – remittances may also improve the risk profle of the remittance receiver. Related to this, remittances allow banks to build a relationship with new clientele (relationship lending; see Berger & Udell, 2002). Finally, (potential) bank clients can use current and future remittance infows as collateral, which will lower bank risk and thus may induce banks to provide credit. Therefore, it seems likely that on the one hand receivers of remittances become more interesting clients for banks and on the other hand they are also induced to make more use of banking services. Yet the potential positive impact of remittances on fnancial inclusion ultimately depends on the ability and willingness of banks to adapt. Banks need to expand their offering of fnancial products to poor people to accommodate the transfer of remittances and to induce fnancial inclusion of those who don’t already have access to fnancial services. However, banks and private sector businesses in general may simply underestimate market opportunity at the ‘bottom of the pyramid’ (Prahalad, 2004) and refrain from offering new fnancial products. Also, governments may play an important role in enhancing the effect of remittances on fnancial inclusion by, for example, removing taxes on incoming remittances and by relaxing exchange and capital controls. Moreover, migrant identifcation requirements need to be addressed. Migrants without legal status abroad need to be allowed to use formal channels to remit a valid immigration status but lack identifcation to open a bank account; consequently, they need 126 Hanna Fromell et al. to rely on money transfer organizations (MTOs) or informal networks to remit. Moreover, governments need to ensure that appropriate regulations and consumer protection safeguards are in place, and banks must ensure that fnancial services are tailored to the needs of disadvantaged groups to ensure that poor people beneft from fnancial inclusion (Demirgüç-Kunt et al., 2018). One of the earliest papers on the impact of remittances on fnancial inclusion is Toxopeus and Lensink (2008). They use a cross-sectional dataset on approximately 60 countries for 2005 and use the following equation (with OLS and a median regression technique): FININLi = ˜0 + ˜1REMi + ˜2 Xi + °i Here FININLi is the proxy for fnancial inclusion (measured by percentage of population that has access to a bank account in country i). Toxopeus and Lensink (2008) provide strong support for a positive signifcant effect of remittances on fnancial inclusion. They also consider the impacts of remittances on growth, via the fnancial inclusion channel, using a three-stage least squares (3sls) technique. This analysis indeed suggests that remittances positively affect growth by enhancing fnancial inclusion.7 A much more elaborate and rigorous analysis of the impact of remittances on fnancial development is that by Aggarwal, Demirgüç-Kunt, and Martínez Peria (2011) .8 The paper uses a panel of developing countries for the period 1975–2007 and applies cross-country regressions and system GMM regressions for a dynamic panel. Their main regression equation is specifed as follows: FININLi ,t = ˜0 + ˜1REMi ,t−1 + ˜2 Xi ,t−1 + °i ,t The paper provides strong evidence of a positive signifcant and robust link between the infow of remittances and fnancial development in developing countries. 5.7 REMITTANCES AND HOUSEHOLD INCOMES Whereas the previous sections focused on the impact of remittances on economic growth and fnancial sector development, this section focuses on the impact of remittances on household incomes. In theory, we expect that remittances to have positive effects on household incomes at home. If prospective migrants make well-informed migration decisions, then the earnings that they receive abroad should offset the costs associated with migration and thus increase the overall income available to the household at home.9 Rising incomes through remittances may impact poverty levels as well as inequality levels in the origin communities of migrants. On the one hand, we expect that remittances can lift receiving households out of poverty and thus have negative effects on poverty levels at origin. On the other hand, it is not clear a priori whether remittances would reduce or increase income inequality. Remittances could increase inequality if remittances were to reach only those few households that can afford migration in the frst place. Chapter 5 • Remittances and development 127 Yet if migration were available to poorer households as well, they could reduce inequality at home. In the empirical literature, the effects on inequality and poverty have been studied by using both micro-level data (e.g. on the household level) and aggregate-level data (e.g. on the municipality or country level). Given that most of the studies are based on household-level data, we focus primarily on these but also consider aggregate-level studies when appropriate. 5.7.1 Remittances and inequality We begin with the impact of remittances on inequality. Inequality is typically measured with the Gini coeffcient – sometimes at the local, village level (Stark, Taylor, & Yitzhaki, 1986; Barham & Boucher, 1998) and sometimes at the country level (Adams & Page, 2005; Brown & Jimenez, 2008).10 Thus, the research question is by how much the receipt of remittances changes the Gini coeffcient in the migrants’ origin community. Two strands of literature have developed on this topic. They use different identifcation strategies and may, even if applied to the same sample, arrive at different conclusions on the impact of remittances on inequality. We describe both methods in turn. We believe that looking at both methods enhances our understanding of how remittance transfers may impact receiving households and their communities. (Box 5.5 discusses the underlying assumptions of the two approaches.) The Gini decomposition method proceeds in two steps. First, total observed village income is decomposed into different sources: home earnings and earnings from remittances. Second, the Gini coeffcient of the observed overall income distribution in the sample is compared with the Gini coeffcient of the home earnings of nonmigrant households. If the latter is greater than the former, then remittances have reduced income inequality. Thus, the Gini decomposition method can answer the extent to which income from remittances changes the distribution of total income in the village. The Gini decomposition method was introduced by Stark et al. (1986). In their study on two Mexican villages, the authors fnd that international remittances (from the US) reduce inequality. That is, they fnd that the Gini coeffcient of total income, including remittances, was lower than the Gini coeffcient of the nonremittance income. However, they fnd that the inequality-reducing effect was more pronounced in the village which had a longer migration history to the US than in the village with a shorter migration history. So it seems that the more migrants migrated over time, the more benefcial was the impact of remittances on income inequality. BOX 5.5 Remittances: exogenous or endogenous transfer payments? As mentioned in section 5.7.1, the literature has developed two methods to identify the effect of remittances on income inequality: the Gini decomposition method and the counterfactual incomes method. The 128 Hanna Fromell et al. identifcation strategies should be chosen on the basis of whether the remittances are exogenous transfers or endogenous transfers. The Gini decomposition method must make the simplifying assumption that the receipt of remittances is independent of household characteristics. That is, it assumes substantial differences between migrant and nonmigrant households with respect to receiving remittances and assumes that the allocation of remittances across households in the origin community is almost random. This assures the identifcation of the impact of remittances on income inequality: the difference between the Gini of nonmigrant households and the Gini of all households in the sample equals the effect that remittances have on income inequality. Crucially, if one assumes that remittances are independent of household characteristics, then they are exogenous transfers to household income. They are an additive component to household income. As such, remittances’ impact on recipient household income is positive by construction: because remittance fows are never negative (they are either zero or positive), they can also never reduce household income. Yet the assumption of exogenous transfers and, consequently, the implication of nonnegative impact on household income are implausible according to the advocates of the counterfactual incomes method. They argue that remittances necessarily follow from migration and that their effects should always be evaluated in conjunction with the decision to migrate. As explained in section 5.1, household income may decrease after migration even when remittances are paid (e.g. Acosta, Fajnzylber, & Humberto Lopez, 2007). This is possible when migrant earnings abroad are lower than respective home earnings or when household members at home reduce their labor force participation. If this is the case, then remittances are endogenous transfers in the sense that they are substitutes of home earnings rather than an additive source of household income. Hence, receiving remittances depends on household characteristics after all – most importantly on the decision to migrate and to substitute home earnings with earnings abroad. Thus, the counterfactual incomes method identifes the impact of remittances on inequality as the difference between the Gini of the full sample of households (including remittances) and the Gini of a counterfactual scenario where the household incomes of the sample are calculated as if no one had migrated. So the counterfactual incomes method asks what the gains from migrating and remitting are compared to staying and generating income at home. For further discussion, see Brown and Jimenez-Soto (2015). In fact, this second result has become one of the central fndings in the literature on the impact of remittances on inequality. The general idea is that there exists a nonlinear relationship between remittances and income Chapter 5 • Remittances and development 129 inequality, meaning that the effect of a marginal increase in remittances depends on the absolute size of the remittances. In fact, also other studies fnd that for (initially) low levels, remittances increase community-level inequality and that inequality decreases only once remittances have reached a certain threshold (McKenzie & Sasin, 2007; Shen, Docquier, & Rapoport, 2010; McKenzie & Rapoport, 2007). The literature explains this inverse effect with the maturity of the migration history in the origin community. In the beginning, only a few have the means to migrate abroad, either because they are wealthier than others or because they already have networks abroad that facilitate migration. At this stage, the level of received remittances is low and the transfers beneft only a few, presumably richer, households. This leads to an increase in inequality in the community. However, as emigration from the community continues, migration becomes more affordable also for the poorer households, due to better-established networks at home and abroad. This means that the total number of remittances increases in the community, where more and more remittances go to households at the lower end of the income distribution. The process of a gradual maturing of the migration history of the community therefore leads to a reversal of the effect of remittances on inequality. The Gini decomposition method has been extended to account for the general equilibrium effects of remittances on incomes in a community at large, both migrant households and nonmigrant households. Hence, it can capture not only the direct but also the potential indirect effects of remittances on inequality (Taylor, 1992; Taylor & Wyatt, 1996). Indirect effects occur when remittances affect either the income of nonmigrant households or other sources of income for the migrant household. For example, remittances may raise the recipient’s budget constraint and free up funds for investment. This may increase the income of the recipient household as well as the income of other households through further employment opportunities (e.g. shopkeeping and kettle herding). On the other hand, remittances may negatively impact the labor supply decision of the remaining members of the migrant household. These indirect effects parallel those that we discussed in section 5.5 on economic growth. Despite the advantage of being able to account for the general equilibrium effects of remittances, the Gini decomposition technique has an important shortcoming: it does not account for the migration decision and the associated opportunity costs of migration. That is, it does not account for the fact that migrant households make an active decision to forgo income at home and to substitute it with remittances from earnings abroad. For the Gini decomposition method, remittances are a separate, additional source of income for the household and the migration decision does not play a role in it (for further details, see Box 5.5). To address this shortcoming, the second strand of literature has taken a different methodological route. To determine the impact of remittances as substitutes of household income on poverty and inequality, this literature compares the actual earnings of migrant households with what these households would have earned had none of their members migrated. This requires estimating the income of migrant households in a counterfactual 130 Hanna Fromell et al. nonmigration scenario. This method is therefore called the counterfactual income method. Studies using this method differ with respect to the construction of the counterfactual nonmigration scenario. Some impute the counterfactual incomes by using data from nonmigrant households; some use the Heckman selection model to construct the counterfactual; and others use propensity score matching. Several studies use the counterfactual incomes method (Jimenez-Soto & Brown, 2012; Adams & Cuecuecha, 2013). We briefy present the strategy and results of a seminal study by Barham and Boucher (1998) to exemplify the counterfactual incomes method and to contrast it with the Gini decomposition method. Barham and Boucher investigate the effect of remittances on income inequality on a sample of migrant and nonmigrant households in Bluefelds, Nicaragua. They construct a counterfactual nonmigration scenario by estimating the incomes of migrant households had none of the members migrated.11 Their general strategy is to compare the Gini coeffcient of the actual incomes in the observed migration scenario with the Gini coeffcient in the counterfactual nonmigration scenario. If the Gini in the actual, observed scenario is lower than the Gini in the counterfactual scenario, then migration and remittances would have had an inequalityreducing effect on incomes in the community. More specifcally, the authors compare two counterfactual scenarios with the actual scenario. For the frst counterfactual scenario, they estimate the nonmigration incomes of the migrants and add these counterfactual incomes to the actual incomes of nonmigrants. For the second counterfactual scenario, they also estimate the counterfactual incomes of the nonmigrant members of migrant households, because the migration decision affects not only the migrants but also those left behind. As discussed earlier, nonmigrant members of migrant households may make labor force participation decisions conditional on whether another household member decides to migrate. Hence, migration may not only change the migrants’ but also the nonmigrants’ contributions to household income. The results show that the Gini coeffcient in the actual (observed) migration scenario is signifcantly higher than it is in both counterfactual nonmigration scenarios: by 7.5% and by 12%. Because a higher Gini coeffcient means higher inequality, remittances have increased income inequality in the sample. Furthermore, when Barham and Boucher use the Gini decomposition method on the same Bluefelds sample, they fnd the opposite result: remittances reduce inequality. That is, if remittances are considered exogenous transfers in this sample, then they reduce inequality. The Barham and Boucher (1998) study suggests that it appears diffcult to empirically determine the effect of remittances on inequality in remittance-receiving communities. The results are ambiguous across different methodologies. 5.7.2 Remittances and poverty In contrast to the ambiguous results on the link between remittances and inequality, there appears to be more consensus that remittances lift the receiving households out of poverty (Adams, 2004; Yang & Martínez, 2006; Chapter 5 • Remittances and development 131 Gupta, Pattillo, & Wagh, 2009; Akobeng, 2016; Acosta et al., 2007). As we wrote earlier, these positive results can be expected in the case of successful labor migration. Migration is successful in this sense if migrants achieve what they intend with their migration decision – improving their and their families’ economic outcomes at home by migrating to places where they can fnd work and earn more money. At least with respect to poverty reduction, migrants seem to make economically rational decisions. The results seem to be robust across different methodological approaches. For example, Jimenez-Soto and Brown (2012) use the counterfactual incomes method to estimate the effect of remittances on poverty by using household survey data from Tonga. They use propensity score matching to construct the counterfactual scenario to estimate nonmigration household incomes. By measuring poverty in different way, they fnd that remittances can reduce poverty. For example, remittances reduce the poverty headcount ratio, which measures the extent of poverty, by 31% and reduce the poverty gap ratio, which measures the depth of poverty, by 49%. Using a cross-sectional approach, Adams and Page (2005) evaluate the direct effect of international remittances on poverty in 71 developing countries. They use a growth-poverty model (Ravallion, 1997; Ravallion & Chen, 1997) given by log Pit = ˜1 log yit + ˜2 log git + ˜3 log REMit + ˝i + °it , where Pit is a poverty measure, yit is per capita income, g is the Gini coefit fcient, REMit represents remittances, ˝i is time-invariant country-specifc effects and °it is an idiosyncratic error term. After instrumenting for the potential endogeneity of remittances, they fnd a statistically signifcant negative coeffcient for remittances. This means that remittances reduced poverty in their sample. However, concerns could be raised regarding the IV strategy used in this study. In particular, Adams and Page do not discuss the exclusion restriction of the three instruments that they use to address the endogeneity of the remittance variable. For example, they use the distance between the remittance-sending area (US, EU, or Gulf) and the recipient country as their frst instrument. While they rightly argue that distance may be a good predictor of remittances (migration is typically negatively correlated with the distance between origin country and destination country), they do not discuss the exclusion restriction at all. So it is not obvious why distance would not affect poverty in remittances-receiving countries – for example, through trade, FDI, or colonial ties. Thus, it seems that distance is not a good instrument for remittances, and since similar considerations apply to their other two instruments, their study cannot conclusively identify a causal effect of remittances on poverty (see also Box 5.4). 5.8 POLICY TOOLS AND INTERVENTIONS Since much of the empirical literature on the impact of remittances suggests a positive impact on several welfare indicators, some researchers have investigated how policy reform could be used to infuence migrants’ remittances 132 Hanna Fromell et al. decisions. One questions of particular relevance for policy is how remittances can be allocated in the most productive way. Great attention has been paid to whether remittances are used mainly for consumption or for investment. Which one would be the optimal use for a given household is not obvious. Furthermore the evidence diverges on whether remittances tend to be spent more on investments or more on consumption (Yang, 2011). For example, Yang (2008) and Yang and Martínez (2006) exploit sudden changes in exchange rates between the host country of migrants and their origin country, which are used as IV for changes in remittances. Signifcant increases in investments and an increased likelihood of exiting poverty are identifed among the remittance-receiving households. Another question that has been given a lot of attention is how remittances could be further increased. Most of the literature discussed in this section provides evidence about the factors that infuence the use of remittances and their magnitude. 5.8.1 Financial literacy programs If remittances are not spent optimally, imperfect knowledge about fnancial products on the part of the recipients appears as one plausible explanation. Studies have been conducted in which migrants or the household members left at home receive training in fnancial literacy to verify whether this has positive effects on remittances and their productivity. Doi, McKenzie, & Zia (2014) fnd positive effects from providing training both to the household members left at home and to the migrant, before migration. However, they fnd no positive impact from giving fnancial training to only the migrant or only the household members left at home. Financial literacy training has also been offered to migrants after their move to the host country. The fndings of such training have been mixed, where Seshan and Yang (2014) fnd increased savings and remittances among migrants working in Qatar, while Gibson et al. (2013) fnd no impact on remittances sent home from offering fnancial training to immigrants in Tonga, East Asia, and Sri Lanka. 5.8.2 Migrant control over the use of remittances If a migrant has a different opinion over how the household should spend the money from that of the household, the migrant may be more inclined to remit more if given greater control over how remittances are spent. Evidence supporting this possibility is provided by Ashraf, Aycinena, Martinez, and Yang (2011), who offer savings accounts with varying degrees of migrant control over savings in the home country and fnd that migrants accumulate the most savings when they are given the highest level of control. Further evidence for the importance of being in control among migrants is offered by Chin, Karkoviata, and Wilcox (2011). 5.8.3 Costs As mentioned earlier, the costs associated with international remittances have become the target of international development agreements. Recall that these Chapter 5 • Remittances and development 133 costs are often substantial, amounting to a global average of about 7% of the amount remitted (World Bank, 2019a), and there are often relatively high fxed costs per transaction. Nevertheless, remittances have been observed to be relatively frequent and small in size (Yang, 2011), resulting in relatively high fees paid relative to remitted amounts. One potential reason for why migrants choose to remit so often rather than sending larger amounts more seldom is a problem of self-control. Migrants may, for example, anticipate that the recipient will be tempted to spend too much of the remittances as soon as they have been received if a larger amount that is intended to last for a longer period is sent all at once (Yang, 2011). As the costs paid to remit are substantial, scholars have investigated whether a reduction in such costs would enable the supply of remittances to rise. Ambler, Aycinena, and Yang (2015) run a randomized control trial in which they offered migrants living in the US the chance to send money to fund the education of a student of their choice living in El Salvador. They contrast two policy interventions: in the frst, migrants’ contributions were matched by an additional USD3 for each USD1 submitted, and in the second, the cost to remit were reduced by half. The results show that migrants were more than twice as likely to allocate money through the matching program compared to the cost reduction program. Further illustrating this high price elasticity of demand, they fnd that no allocations were made when no matching was offered. A high sensitivity in the cost to remit is also confrmed by Ambler, Aycinena, and Yang (2014), who fnd that the large positive effects in remitted amounts persist even 20 weeks after the discount on costs ceased to apply. The authors fnd suggestive evidence that this may be because the recipients continue to demand the increased amounts received even after the discount period. Other studies confrm that recipients seem to have some infuence over the remittances they receive. In a lab-in-the-feld experiment, Ambler (2015) fnds that if a migrant earns unexpected windfall money and household members at home learn about this, the migrant is willing to remit more than if the household members do not learn about the windfall. 5.8.4 Channel remittances to specifc purposes Migrants who are concerned about the productive use of their remittances and who care not only about their family members but also about the community as a whole may be more willing to send money home if their money can be earmarked for specifc purposes. Several programs have been designed with such a purpose, where remittances are earmarked for the education of students. For example, the study mentioned earlier, by Ambler et al. (2015), allowed migrants to fund the payment of a selected student in El Salvador. The success of this product is limited in so far as there was no demand for channeling money through this program when there was no matching of money by the program on top of what was offered by the migrant. However, De Arcangelis, Joxhe, McKenzie, Tiongson, and Yang (2015) fnd evidence for positive demand among migrants to fund the education of students in their origin country. Interestingly the authors fnd a signifcant increase, of 15%, in remittances when they are labeled as intended for education but where it is still possible for the recipient to use the money 134 Hanna Fromell et al. for other purposes. Imposing a hard form of commitment by channeling the money directly to the school only adds another 2.2% on top of the remittances sent when the money has been labeled. 5.9 CONCLUSION This chapter showed that international remittances, the fnancial transfers made by labor migrants to their families and relatives at home, have the potential to exert positive effects on economic output, fnancial development, poverty levels, and income inequality in developing recipient countries. In this sense, their role vis-à-vis other forms of development fnance – for example, via offcial development assistance (ODA) or foreign direct investments (FDI) – cannot be understated and should be further investigated. This chapter also highlighted the importance of understanding the motivations of migrants to transfer money home as they shape the special characteristics of remittances that set them apart from other forms of development fnance. Such an understanding facilitates the assessment of the development effects of remittances and improves any endeavor to eventually unlock their presumed development potential. While the empirical literature on the development effects of remittances is growing in number and quality, we maintain that consumers should be aware of the various weaknesses regarding data availability and research methodology exhibited by the literature. We also highlighted throughout the chapter that the potentially benefcial effects of remittances should always be investigated in conjunction with migration decisions. Remittances never occur without migration, and therefore, who receives remittances is highly dependent on who can afford to migrate. Future research in the feld should therefore account for this selectivity and aim to improve the methods that are used to measure the effect of remittances on development (e.g. McKenzie, Stillman, & Gibson, 2010; Gibson, McKenzie, & Stillman, 2013). We also described ways that policymakers could infuence the remitting behavior of international labor migrants. Supporting the strategies adopted by recent international agreements on migration and remittance policies, a reduction in the costs of remitting smaller amounts promises higher volumes of remittance fows. Discussion questions 1 Which theoretical considerations explain a change in the receivers’ spending behavior towards consumption and which towards investment goods? Consider the permanent income hypothesis and different motivations to remit. 2 What are the effects of remittances from refugees on communities at home? Would they differ from labor migrants’ remittances? 3 What could explain the ambiguous empirical results on the impact of remittances? 4 Do you fnd the choice of instrumental variables in Chami et al. (2003) convincing? Why or why not? Chapter 5 • Remittances and development 135 5 Consider the role of the fnancial sector in the impact of remittances on growth. In your opinion, does the fnancial sector play a moderating or a mediating role? Read up on moderators and mediators in econometric research. How would you design a study to investigate either of the two roles? 6 Given what you have learned, how would you design a program to enhance entrepreneurship through the receipt of remittances in the recipient community? 7 What are social remittances, and what would their impact on economic growth, fnancial inclusion, poverty and inequality be? How would you assess their impact? Notes 1 Voluntary labor migration differs from so called forced migration, or displacement, that occurs when people have to leave their homes due to threats to their safety and security. Forced migration is smaller in size and typically generates smaller remittance fows. It has therefore not received much attention in the literature and is not discussed in this chapter. 2 This totaled 216 countries: 31 low-income countries, 53 lowermiddle-income countries, 56 upper middle-income countries and 76 high-income countries. 3 The World Bank, Remittance Prices Worldwide, available at http:// remittanceprices.worldbank.org. 4 This section draws from Chami et al. (2008), Barajas et al. (2009), and Amuedo-Dorantes (2014). 5 In our study questions, we ask you to evaluate the quality of the Chami et al. instruments. See also Box 5.4. 6 Brown and Jimenez-Soto (2015) argue along similar lines. 7 The 3sls analysis assumes that remittances affect growth only via fnancial inclusion. However, remittances likely also affect growth via other channels, implying that the implicit exclusion restriction used in the 3sls approach conducted by Toxopeus and Lensink (2008) will not hold. 8 Gupta, Pattillo, and Wagh (2009) use a similar approach to that of Aggarwal, Demirgüç-Kunt, and Martínez Peria (2011). However, Gupta, Pattillo, and Wagh (2009) focus on sub-Saharan Africa. Most importantly, they fnd strong support for a positive and signifcant impact of remittances on fnancial development. 9 Recall that we focus on labor migration where one household member leaves their family behind to work abroad. So the decision to migrate is deliberate and not coerced. Of course, if we were to investigate other types of migrations, such as forced migration, then we could not expect that their earnings abroad would necessarily exceed their home earnings. 10 The Gini coeffcient is the most popular measure of inequality in a population. It measures how far a population’s income distribution deviates from a perfectly equal distribution. A Gini coeffcient of 0 expresses perfect equality, while a value of 1 expresses maximal inequality. 11 The study uses a double-selection Heckman model (Heckman, 1979) to control for the migration decision of migrating household members and the labor force decisions of nonmigrant household members. 136 Hanna Fromell et al. References Acosta, P. A., Calderón, C., Fajnzylber, P., & Lopez, H. (2008). What is the impact of international remittances on poverty and inequality in Latin America? World Development, 36(1), 89–114. Acosta, P. A, Fajnzylber, P., & Humberto Lopez, J. (2007). The impact of remittances on poverty and human capital: Evidence from Latin American household surveys. World Bank Policy Research Working Paper 4247. Washington, DC: World Bank. Acosta, P. A, Lartey, E. K. K., & Mandelman, F. S. (2009). Remittances and the dutch disease. Journal of International Economics, 79(1), 102–116. Adams, R. H. (2004). Remittances and poverty in Guatemala. World Bank Policy Research Working Paper Series 3418. Washington, DC: World Bank. Adams, R. H., & Cuecuecha, A. (2010). Remittances, household expenditure and investment in Guatemala. World Development, 38, 1626–1641. Adams, R. H., & Cuecuecha, A. (2013, October). The impact of remittances on investment and poverty in Ghana. World Development, 50, 24–40. Adams, R. H., & Page, J. (2005). Do international migration and remittances reduce poverty in developing countries? World Development, 33(10), 1645–1669. Agarwal, R., & Horowitz, A. W. (2002). Are international remittances altruism or insurance? Evidence from Guyana using multiple-migrant households. World Development, 30(11), 2033–2044. Aggarwal, R., Demirgüç-Kunt, A., & Martínez Peria, M. S. (2011). Do remittances promote fnancial development? Journal of Development Economics, 96, 255–264. Akobeng, E. (2016, May). Out of inequality and poverty: Evidence for the effectiveness of remittances in SubSaharan Africa. The Quarterly Review of Economics and Finance, 60, 207–223. Ambler, K. (2015). Don’t tell on me: Experimental evidence of asymmetric information in transnational households. Journal of Development Economics, 113, 52–69. Ambler, K., Aycinena, D., & Yang, D. (2014). Remittance responses to temporary discounts: A feld experiment among central American migrants. Working Paper Series. Cambridge, MA: National Bureau of Economic Research. Ambler, K., Aycinena, D., & Yang, D. (2015). Channeling remittances to education: A feld experiment among migrants from El salvador. American Economic Journal: Applied Economics, 7(2), 207–232. Amuedo-Dorantes, C. (2014). The good and the bad in remittance fows. IZA World of Labour, 97. Amuedo-Dorantes, C., & Pozo, S. (2004). Workers’ remittances and the real exchange rate: A paradox of gifts. World Development, 32(8), 1407–1417. Arcangelis, G. D., Joxhe, M., McKenzie, D., Tiongson, E., & Yang, D. (2015). Directing remittances to education with soft and hard commitments: Evidence from a lab-in-the-feld experiment and new product take-up among Filipino migrants in Rome. Journal of Economic Behavior & Organization, 111, 197–208. Ashraf, N., Aycinena, D., Martinez, C., & Yang, D. (2011). Remittances and the problem of control: A feld experiment among migrants from El Salvador. Working Paper. Ann Arbor: University of Michigan. Barajas, A., Chami, R., Fullenkamp, C., Gapen, M., & Montiel, P. (2009). Do workers’ remittances promote economic growth? IMF Working Paper WP/09/153. Washington, DC: IMF. Barham, B., & Boucher, S. (1998). Migration, remittances, and inequality: Estimating the net effects of migration on income distribution. Journal of Development Economics, 55: 307–331. Berger, A. N., & Udell, G. F. (2002). Small business credit availability and Chapter 5 • Remittances and development 137 relationship lending: The importance of bank organisational structure. The Economic Journal, 112(477), F32–F53. Brown, R. P. C., & Jimenez, C. (2008). Estimating the net effects of migration and remittances on poverty and inequality: Comparison of Fiji and Tonga. Journal of International Development, 20(4), 547–571. Brown, R. P. C., & Jimenez-Soto, E. (2015). Migration and remittances. In Handbook of the economics of international migration (Vol. 1B, pp. 1077– 1140). North Holland: Elsevier. Burnside, C., & Dollar, D. (2000). Aid, policies, and growth. The American Economic Review, 94(3), 847–68. Chami, R., Barajas, A., Cosimano, T., Fullenkamp, C., Gapen, M., & Montiel, P. (2008). Macroeconomic consequences of remittances. IMF Occasional Paper No. 259. Washington, DC: IMF. Chami, R., Fullenkamp, C., & Jahjah, S. (2003). Are immigrant remittances fows a source of capital for development? IMF Working Paper WP/03/189. Washington, DC: IMF. Chin, A., Karkoviata, L., & Wilcox, N. (2011). Impact of bank accounts on migrant savings and remittances: Evidence from a feld experiment. Mimeo. Houston: University of Houston. Clarke, G., & Wallsten, S. (2003). Do remittances act like insurance? Evidence from a natural disaster in Jamaica. http://dx.doi.org/10.2139/ ssrn.373480. Clemens, M. A. (2011, Summer). Economics and emigration: Trilliondollar bills on the sidewalk? Journal of Economic Perspectives, 25(3), 83–106. Clemens, M. A., & McKenzie, D. (2018). Why don’t remittances appear to affect growth? Economic Journal, 128(612), F179–209. Cox, D., Eser, Z., & Jimenez, E. (1998). Motives for private transfers over the life cycle: An analytical framework and evidence for peru. Journal of Development Economics, 55(1), 57–80. De, S., Islamaj, E., Kose, M.A., & Yousef, S. R. (2016). Remittances over the business cycle: Theory and evidence. KNOMAD Working Paper 11. Retrieved from https:// www.knomad.org/publication/ remittances-over-business-cycletheory-and-evidence Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The global fndex database 2017: Measuring fnancial inclusion and the fntech revolution. Washington, DC: World Bank. Doi, Y., McKenzie, D., & Zia, B. (2014). Who you train matters: Identifying combined effects of fnancial education on migrant households. Journal of Development Economics, 109, 39–55. Faini, R. (2007). Migration and remittances. The impact on the countries of origin. Revue d’économie Du Développement, 15(2), 153–182. Feeny, S., Iamsiraroj, S., & McGillivray, M. (2014). Remittances and economic growth: Larger impacts in smaller countries? Journal of Development Studies, 50(8), 1055–1066. Frankel, J. (2011). Are bilateral remittances countercyclical? Open Economies Review, 22(1), 1–16. Gibson, J., McKenzie, D., & Stillman, S. (2013). Accounting for selectivity and duration-dependent heterogeneity when estimating the impact of emigration on incomes and poverty in sending areas. Economic Development and Cultural Change, 61(2), 247–280. Giuliano, P., & Ruiz-Arranz, M. (2009). Remittances, fnancial development, and growth. Journal of Development Economics, 90, 144–152. Glytsos, N. P. (2002). The role of migrant remittances in development: Evidence from mediterranean countries. International Migration, 40(1), 5–26. Grace, D. C. (2005). Exploring the credit union experience with remittances in the Latin American market. In S. Munzele Maimbo & D. Ratha (Eds.), Remittances: Development impact and future prospects (pp. 159–74). Washington, DC: World Bank. Gupta, S., Pattillo, C. A., & Wagh, S. (2009). Effect of remittances on poverty and 138 Hanna Fromell et al. fnancial development in Sub-Saharan Africa. World Development, 1, 104–115. Heckman, J. J. (1979). Sample selection bias as a specifcation error. Econometrica, 47(1), 153–161. Imai, K. S., Cheng, W., Malaeb, B., & Bresciani, F. (2016). Remittances, growth and poverty reduction in Asia -a critical review of the literature and the new evidence from cross-country panel data. Discussion Paper Series DP2016–28. Retrieved from https:// www.rieb.kobe-u.ac.jp/academic/ ra/dp/English/DP2011-30.pdf Imai, K. S., Gaiha, R., Ali, A., & Kaicker, N. (2014). Remittances, growth and poverty: New evidence from Asian countries. Journal of Policy Modeling, 36, 524–538. International Monetary Fund. (2009). Balance of payments and international investment position manual. 6 (BPM6). Washington, DC: International Monetary Fund. Jimenez-Soto, E., & Brown, R. P. C. (2012). Assessing the poverty impacts of migrants’ remittances using propensity score matching: The case of Tonga*. Economic Record, 88(282), 425–439. La Brière, B. D., Sadoulet, E., Janvry, A. D., & Lambert, S. (2002). The roles of destination, gender, and household composition in explaining remittances: An analysis for the dominican sierra. Journal of Development Economics, 68. Lartey, E. K. K. (2013). Remittances, investment and growth in SubSaharan Africa. Journal of International Trade and Economic Development, 22(7), 1038–1058. Lartey, E. K. K., Mandelman, F. S., & Acosta, P. A. (2012). Remittances, exchange rate regimes and the dutch disease: A panel data analysis. Review of International Economics, 20(2), 377–395. Lucas, R. E. B., & Stark, O. (1985). Motivations to remit: Evidence from botswana. Journal of Political Economy, 93(5), 901–918. McKenzie, D., & Rapoport, H. (2007). Network effects and the dynamics of migration and inequality: Theory and evidence from Mexico. Journal of Development Economics, 84, 1–24. McKenzie, D., & Sasin, M. J. (2007). Migration, remittances, poverty, and human capital: Conceptual and empirical challenges. World Bank Policy Research Working Paper Series 4272. Washington, DC: World Bank. McKenzie, D., Stillman, S., & Gibson, J. (2010). How important is selection? Experimental vs. non-experimental measures of the income gains from migration. Journal of the European Economic Association, 8(4), 913–945. Mundaca, B. G. (2009). Remittances, fnancial market development, and economic growth: The case of Latin America and the caribbean. Review of Development Economics, 13(2), 288–303. Prahalad, C. K. (2004). The fortune at the bottom of the pyramid. Upper Saddle River: Wharton School Publishing. Rapoport, H., & Docquier, F. (2006). The economics of migrants’ remittances. In Handbook of the economics of giving, altruism and reciprocity (Vol. 2, pp. 1135– 1198). North Holland: Elsevier. Ravallion, M. (1997). Can high-inequality developing countries escape absolute poverty? Economics Letters, 56, 51–57. Ravallion, M., & Chen, S. (1997). What can new survey data tell us about recent changes in distribution and poverty? The World Bank Economic Review, 11(2), 357–382. Ruiz, I., & Vargas-Silva, C. (2014). Remittances and the business cycle: A reliable relationship? Journal of Ethnic and Migration Studies, 40(3), 456–474. Seshan, G., & Yang, D. (2014). Motivating migrants: A feld experiment on fnancial decision-making in transnational households. Journal of Development Economics, 108, 119–127. Shen, I. L., Docquier, F., & Rapoport, H. (2010). Remittances and inequality: A dynamic migration model. The Journal of Economic Inequality, 8(2), 197–220. Spatafora, N. 2005. Workers’ remittances and economic development. In World economic outlook: Globalization and external imbalances (pp. 69–107). Chapter 5 • Remittances and development 139 Washington, DC: International Monetary Fund. Stark, O. (1991). The migration of labor. Cambridge, MA and Oxford: Basil Blackwell. Stark, O., Taylor, J. E., & Yitzhaki, S. (1986). Remittances and inequality. The Economic Journal, 96(383), 722–740. Taylor, J. E. (1992). Remittances and inequality reconsidered: Direct, indirect, and intertemporal effects. Journal of Policy Modelling, 14(2), 187–208. Taylor, J. E., & Wyatt, T. J. (1996). The shadow value of migrant remittances, income and inequality in a household‐farm economy. Journal of Development Studies, 32(6), 899–912. Toxopeus, H. S., & Lensink, R. (2008). Remittances and fnancial inclusion in development. In Development fnance in the global economy (pp. 236– 263). New York: Springer. UN. (2015). Transforming our world: The 2030 agenda for sustainable development. A/Res/70/1. Retrieved from https://www.un.org/en/development/ desa/population/migration/general assembly/docs/globalcompact/A_ RES_70_1_E.pdf World Bank. (2017). Migration and remittances – recent developments and outlook. Special topic: Global compact on migration. Migration and Development Brief 27. Washington, DC: Author. World Bank. (2019a). Migration and remittances: Recent developments and outlook. Migration and Development Brief, 31. World Bank. (2019b). Remittances prices worldwide. An Analysis of Trends in Costs of Remittances Services, 29(2). Yang, D. (2008). International migration, remittances and household investment: Evidence from philippine migrants’ exchangerate shocks. The Economic Journal, 118, 591–630. Yang, D. (2011). Migrant remittances. Journal of Economic Perspectives, 25(3), 129–152. Yang, D., & Choi, H. (2007). Are remittances insurance? Evidence from rainfall shocks in the philippines. The World Bank Economic Review, 21(2), 219–248. Yang, D., & Martínez, C. A. (2006). Remittances and poverty in migrants’ home areas: Evidence from the philippines. In Çağlar Özden & Maurice Schiff (Eds.), International migration, remittances, and the brain drain (pp. 81–122). Basingstoke and New York: Palgrave Macmillan. CHAPTER 6 Foreign aid and economic development Matthew Kof Ocran, Bernardin Senadza, and Eric Osei-Assibey 6.1 INTRODUCTION Overseas development assistance (ODA) is an expression that was frst conceived of in 1969by the Development Assistance Committee (DAC) to measure aid. The DAC defnes ‘aid’ as resource fow from offcial agencies to stimulate economic development. According to the DAC, for a resource fow to be considered as aid, it must be offered on concessional terms with at least a 25% grant1 component. The resource may be fnancial, technical assistance or in the form of agricultural commodities. Humanitarian aid is also considered aid. While donations, military equipment, or technical assistance offered on concessionary terms are considered aid by some countries, the DAC excludes them in its description of aid. Thus the DAC invariably separates ‘offcial development assistance’ from other ‘offcial fows’ (OECD, 2006). For example, aid in support of antiterrorism efforts is excluded from the measurement of aid. The question regarding the role of foreign aid in fostering economic development has attracted considerable attention in the literature over the past six decades. Despite the huge volume of literature on the topic, there appears to be no unanimity on whether foreign aid has had a positive effect on economic development. What has been become clear, though, is that the motivation for providing aid to developing countries is often driven by reasons other than altruistic ones. This chapter examines the historical origins of foreign aid, the rationale behind the provision of aid, and trends in the volume of aid. We also examine the question of aid effectiveness, by examining the literature on aid and economic growth on one hand and aid and poverty on the other. The last section of chapter proposes options that can enable developing countries to look beyond aid. 6.2 EVOLUTION OF FOREIGN AID The historical origins of formal attempts aimed at providing foreign assistance can be traced to the US Congress’s Act for Relief of the Citizens of Venezuela, which was passed in 1812 after a devastating earthquake in Venezuela in March of that year (Hjertholm & White, 1998). Later on in the 20th century, the United Kingdom’s Colonial Development Act 1929 was Chapter 6 • Foreign aid and economic development 141 promulgated. The Act sought to provide for loans in support of agriculture and industry in a number of British colonies and territories in a bid to promote commerce or industry in the United Kingdom. In 1933, the US, through the Agricultural Adjustment Act, provided shipments of agricultural surpluses to needy countries as relief and to create new markets for US agricultural output. The beginning of multilateral efforts in the provision of aid was heralded by the formation of the United Nations in 1945 following the Bretton Woods conference in 1944. A year earlier, the United Nations Relief and Rehabilitation Administration (UNRRA) was formed. Instructively, the immediate postwar efforts of multilateralism spearheaded by the United States were all aimed at supporting Europe, whose countries’ economies had been decimated by the war, to fnd its feet.2 CARE and OXFAM,3 which are among the leading international NGOs in the developing world today, were all formed to support the poor in Europe. The European Recovery Plan, commonly known as the Marshall Plan was backed by the United States’ Foreign Assistance Act of 1948. The plan was frst made public by George Marshall, the then US secretary of state, during a speech at Harvard University in 1947. The Marshall Plan is probably the most remarkable bilateral aid effort in the chronology of foreign aid. The plan was aimed at assisting the reconstruction of the European countries that had been destroyed by the Second World War. The European countries also faced the increasing threat of dictatorial communism and worsening economic outcomes. The devastation of the war and the accompanied collapse of physical infrastructure across the countries in Europe made recovery without foreign aid diffcult for European economies (Weissman, 2013). The aid under the Marshall Plan was in the form of fuel, raw materials, capital goods, loans, food, and technical assistance to help rebuild infrastructure such as transport systems. Later on, the US made direct fnancial investments in European companies. After barely four years after the inception of the Marshall Plan, European economies began to see phenomenal rebound. The United States also benefted immensely from the economic stimulus it had provided to Europe. For instance, the US industries recorded strong growth in domestic production and proft as they sought to meet the demand for goods and services from Europe after the support from the US government. Another outcome of the support was the construction of new democratic institutions in Europe and the fostering of the US economic paradigm of the free market and the ‘Americanization’ of Western Europe. Under the plan, Europe was encouraged to produce a plan for reconstruction that the United States could fund. The Europeans asked for USD22 billion; the US Congress instead approved USD17 billion, out of which the US government disbursed more than USD13 billion. The Marshall Plan was not entirely for altruistic purposes, though. In addition to helping Western Europe recover from the debilitating effect of the Second World War, it was meant to beneft the American economy and contain Soviet expansion into Europe. Thus, despite the virtues of the Marshall Plan, it was also intended to achieve political objectives (Leffer, 1988). 142 Matthew Kof Ocran et al. In 1950, the Colombo Plan for Cooperative Economic and Social Development in Asia and the Pacifc (i.e. the Colombo Plan) was launched, like the Marshall Plan in Europe. The motivation was to create a platform to coordinate resource fow for the reconstruction of Asian countries that were badly affected by the Second World War. The Colombo Plan was also partly aimed at containing Soviet expansion into the newly independent countries in the Asia Pacifc region. This was undoubtedly the frst, most signifcant multilateral effort aimed at promoting economic development in any part of the world. The plan led to the creation of a regional organization based on the idea of collective intergovernmental efforts to stimulate economic and social development in countries of the Asia Pacifc region. The idea for the Colombo Plan emerged during a Commonwealth conference on foreign affairs in Colombo, Sri Lanka. There were seven founding signatory countries. Among these were donors and recipients. The group included Britain, New Zealand, Australia, Canada, Sri Lanka (formerly Ceylon), India, and Pakistan. The developed countries among the group provided physical capital and human resource development to better leverage the fnancial aid for economic development. Thus, the thrust of the Colombo Plan was self-help and mutual assistance (Curtin, 1954). In the 1950s, donors focused on the notion of community development and the types of aid that were in vogue were largely in the form of food aid and project support. However, the dominant donor in the 1950s was partly motivated by its anticommunist stance. After the successes of the Marshall Plan, the US promulgated the Mutual Security Act of 1951, which had a much broader development assistance mandate. Through the Act, the US provided both economic and military aid to both European countries and developing countries. The old Soviet Union, through its Molotov Plan sought to assist other countries. The Molotov Plan had two overarching objectives: a set of maximum aims and a set of minimum aims. The maximum aims sought to gain economic and political control of Europe, to attract European economies into its orbit of infuence, and to turn the continent into a source of industrial production for the Soviet Union and a market for its surplus production. On the other hand, the minimum aims were geared toward obtaining consumer goods from Europe for its people and to make sure friendly governments were in charge across countries in Europe (Berger, 1948). The cold contestation between the Soviet Union and the United States dominated the development aid environment. In the 1960s, many bilateral programs were established by Western European countries whose economies had by then recovered from the war. The 1960s also saw the establishment of regional development banks (African Development Bank in 1964; Asian Development Bank in 1966; and the Caribbean Development Bank in 1969). More importantly, against the background of the Cold War between East and West, the developed countries of the world formed the DAC in 1960 under the auspices of the Organization for Economic Cooperation and Development (OECD) in Europe. The primary motivation of the DAC was to coordinate aid from the rich Western countries in pursuance of poverty alleviation in developing countries. Also in the 1960s, a number of Western countries set up specialized development Chapter 6 • Foreign aid and economic development 143 assistance entities such as the Canadian International Development Agency (CIDA). During the 1970s, multilateralism in the provision of aid gained more traction; poverty alleviation anchored on basic human needs – education, healthcare, sanitation, and sustainable livelihood – was adopted as a key consideration in the provision of aid. The DAC decided to pay particular attention to the least developed countries and to prioritize the more disadvantaged countries in the distribution of aid. The idea here was that economic growth had failed to considerably reduce poverty in developing countries; therefore, measures that directly targeted the poor needed to be pursued more vigorously. The 1980s were characterized by unfavorable economic outcomes in the developed world: high unemployment and high infation rates. These challenges in turn dampened global demand for commodities. The slump in commodity prices, deterioration in terms of trade, and the high debt levels in Africa, Latin America, and Western Asia were partly a result of weak economic prospects in the developed world. The Bretton Woods institutions’ policy response was a fscal consolidation as far as economic development in the developing world was concerned. Consequently, the institutions introduced structural adjustment program loans to help reduce fscal imbalances and to help economies in the developing world adjust to their long-term growth paths. Among the policy positions that were pushed by Western donors in the 1980s was market deregulation in developing countries (UNDESA, 2017). There was a big increase in the number of NGOs in the 1980s, all in an effort to help developing countries that were facing poverty and strife as a consequence of the poor economic conditions. After the collapse of the Berlin Wall, the 1990s saw the former Soviet Union and its satellite states becoming recipients of aid. More importantly, the DAC High Level Meeting came out with a policy document that informed the fow of aid, Development Cooperation in the 1990s. The thrust of the policy was threefold. First, efforts were to be geared toward the promotion of sustainable economic growth. Second, they were to broaden the participation of all people in the productive processes and the pursuance of equity in the sharing of the benefts of growth. The last pillar of the policy was to ensure environmental sustainability and to slow population growth in countries where it is too high to impede sustainable development. The aim of the new policy underpinning ODA was to highlight and link high population growth, poverty, malnutrition, illiteracy, and environmental degradation, which were still the plight of most developing countries (OECD, 2006). At the turn of the 21st century, the DAC High Level Meeting pushed for greater emphasis on people-centered development, local ownership of development initiatives, global integration, and the forging of development partnerships between developing countries and developed countries. The DACs strategy was adopted by the OECD and the Group of Seven (G7). These ideas culminated in the adoption of the Millennium Development Goals (MDGs) that were approved by the United Nations after the Millennium Summit in 2000, which then gained universal commitment and subsequently immense global importance. The objectives of the MDGs were woven around the promotion of economic well-being, social development, 144 Matthew Kof Ocran et al. and environmental sustainability. The sustainable development goals (SDGs) replaced the MDGs, which lapsed in 2015. The SDGs emanated from the Agenda 2030. Again, the SDGs cover a wide range of social and economic development objectives that are represented by 17 goals. The goals are then operationalized with the aid of 169 targets. The SDGs call for a global effort to end poverty, protect the planet, and ensure that there is peace and prosperity across the globe. The other signifcant development in the aid architecture in the frst decade of the 2000s was the emergence of China and some leading developing countries, such as India, Brazil, and Turkey, among others, as donors. However, the volume of China’s foreign aid dwarfs that of the other emerging donors (UNDP, 2016). 6.3 RATIONALE FOR AID Importantly, aid is not provided by donors entirely for altruistic reasons. And aid is not provided as a result of concerns for global social justice or the recipient’s needs. Indeed, two clear strands can be identifed in the literature on the motivation for providing foreign aid: those around strategic national policy and those associated with philanthropic concerns. While the motivations for providing foreign aid by rich developed countries, including the United States and the United Kingdom, have evolved over time, the thrust of the motivations have remained unchanged: strategic and humanitarian. Assuming that aid in itself can alter the socioeconomic conditions in developing countries in any meaningful way is therefore patently naïve. Morgenthau (1962) is one of the earlier authors who argues that aid is unable to turn the fortunes of poor countries around. After 50 years, this reality has become increasingly clear. The literature suggests that the poorest countries of the world are not necessarily the largest recipients of aid.4 Indeed, the desperate attempts by countries that are not developed to provide aid to developing countries is ample demonstration of the extent of ‘soft power’ that a country can wield as a donor. Quirk (2014) states in no uncertain terms that the motivations of the new non-DAC donors are just like the established DAC donors (the US and Europe): ‘doling out development aid to advance their political,5 security, and economic interests’. Empirical studies in the late 1970s (McKinlay & Little, 1977, 1978) suggest that donor interest trumped recipient interest at least for the United States and the United Kingdom. For instance, Alesina and Dollar (2000) fnd a pattern in giving aid that is motivated by politics and strategy. These outcomes are consistent with the conclusions reached by McKinlay and Little (1977, 1978). The authors further argue that while France’s foreign aid largely goes to its former colonies that it has stronger political ties with, the United States’ pattern of aid is greatly connected to its interests in the Middle East. Berthélemy and Tichit (2004) suggest that former colonies are better placed to receive disproportionate amounts of aid from their former colonial powers. Alesina and Dollar (2000, p. 33) further assert that ‘an ineffcient, economically closed, mismanaged nondemocratic former colony politically friendly to its former colonizer receives more foreign aid than another country with similar levels of poverty, a superior policy stance but without a past as a colony’. Chapter 6 • Foreign aid and economic development 145 Dudley and Montmarquette (1976) suggest that donor’s expectations are that by providing foreign aid, the recipient country should reciprocate by supporting the donor’s interests, perhaps in the area of international politics. For instance, in 2017, when many developing countries voted against the United States’ recognition of Jerusalem as capital of Israel at the United Nations General Assembly, the US threatened to cut aid to ‘unfriendly countries’ that voted against the US (Beaumont, 2017). Trump, the US president, said, ‘They take hundreds of millions and even billions of dollars, and then they vote against us’ and went on to say, ‘Let them vote against us. We’ll save a lot. We don’t care’ (Tawfk, 2017). Again, to underscore this point, Quirk (2014) points out that one of the important reasons underlying India’s interest in providing aid to developing countries is to obtain support for its bid to have a permanent seat on the UN Security Council. Japan’s foreign aid has also gone largely to countries that share their international political interests, according to their UN voting pattern (Alesina & Dollar, 2000). News media’s coverage of natural disasters in the receiving country and the associated dividends that accrues to leaders for acting in a humanitarian manner is another clear motivation for providing foreign aid to distressed countries (Drury, Olson, & Van Belle, 2005; Strömberg, 2007; Porter & Van Belle, 2009). The massive spike in international aid to Ethiopia during the 1983–1985 famine and Haiti after the 12 January 2010 earthquake that left almost a third of a million of people dead are classic examples of instances where news coverage encourages donors to provide additional support. There are many other instances where news coverage has garnered aid for countries in facing misery as a result of natural disasters. Again, news coverage may also motivate citizens of rich countries to encourage their governments to make aid allocations for humanitarian purposes. Aid may also be traded for policy concessions (Mesquita & Smith, 2007). From the donor’s perspective, the policy concession could be in the form of favorable terms for access to natural resources in the recipient country by frms in the donor country. Thus, the donor country obtains some utility from the receiving country in terms of higher wages, dividends, and taxes. The economic interest in providing foreign aid may be seen in the provision of tied aid. Tied aid refers to foreign aid that requires that goods and services associated with the aid be obtained from the donor country. OXFAM has long argued that tied aid results in making aid ‘round trip’. Many countries tie foreign aid to something. OXFAM argued that the US tied its aid more than any other country (Oxfam, n.d.). And the US’s food aid program is arguably the worst form of tied aid. The food must be produced in the US and packaged in the US, and at least 75% of it must be transported by US-owned vessels. As another example, most of the foreign aid aimed at infrastructure development offered by China is often undertaken by Chinese labor;6 this has caused a level of discontent (Lamido, 2013).7 Much of the Chinese aid to Africa, for example, is aimed at securing natural resources from Africa for China’s own development. Recipients may also become trading partners of donors as their economies get connected to that of their donors through aid. Thus, donors also use aid to foster trade with 146 Matthew Kof Ocran et al. recipient countries. A strand of the literature on aid provides ample evidence that foreign aid is in part motivated by trade interest (Nath & Sobhee, 2007; Hoeffer & Outram, 2011, Dietrich, 2012). In sum, the motivation for international is varied. Most of the geopolitical and strategic reasons why countries provide foreign aid do not necessarily coincide with the idiosyncratic needs of aid-recipient countries. No wonder why the outcomes of the massive fow resources in terms of aid to developing countries, particularly over the past six decades, have been mixed. 6.4 AID ARCHITECTURE, VOLUMES, AND TRENDS Many countries often provide development assistance to other countries, but the 30-member Development Assistance Committee8 (DAC) has been the major donor over the past fve decades. There are also non-DAC and emerging donor countries that are increasingly becoming considerable sources of foreign aid. These donors fall under four categories (IDA, 2007) 1 OECD members outside the DAC – Korea, Mexico, a large number of European countries, and Turkey. 2 New European Union member states that are not members of the OECD. 3 Middle Eastern and OPEC countries, such as, Kuwait, Saudi Arabia, and Iran. 4 non-OECD countries that are outside all three foregoing groupings, such as China, India, Brazil, and Russia. At the apex of the foreign aid architecture are offcial bilateral donors. The offcial bilateral donors include both DAC members and non-DAC members. The bilateral donors constitute the most important source of funds for aid in the developing world. The offcial bilateral donors provide resources to the multilaterals: regional development banks, UN agencies, and the International Development Association (IDA).9 In addition to providing the resources required by the multilaterals for their foreign aid disbursements, the bilateral donors also provide aid directly to recipient countries. The aid architecture also involves the fow of resources to the various donors in the form of refows following gross disbursements. These refows represent the payment of the principal and interests for the loan components of aid. Although the importance of the DAC members as a major source of external assistance has reduced from a high of 77% in 2005 to 62% in 2015, it is by far the major source of assistance. The non-DAC group has more than tripled its contribution, from just about 3% in 2005 to 11% in 2015. Multilateral institutions have also increased their support from 21% to 27% over the period under discussion (OECD, 2018). The total value of international development assistance has risen from USD108.5 billion in 2005 to USD152.7 billion (see Figure 6.1). Between 1960 and 1980, the volume of aid remained fairly steady as some of the major recipients, such as Turkey, Chile, and Brazil, became affuent and saw huge reductions in their aid fows. After the collapse of the Chapter 6 • Foreign aid and economic development 147 FIGURE 6.1 Total volume of ODA in constant 2015 prices, 1960–2016 160 140 US$/billions 120 100 80 60 40 20 1960 1962 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 0 Source: Data from OECD DAC website Berlin Wall and the subsequent transitions of the hitherto countries in the orbit of the former Soviet Union into market economies, aid fows spiked. From the peak in 1992, the volume of aid dropped substantially and bottomed out in 1997. The reduction in aid in the 1990s has also been attributed to the decline in the brisk competition between proponents of communist politico-economic ideologies and capitalist politico-economic ideologies. Coupled with the reduction in the ideological competition was the rapid development recorded in parts of Asia at the same time. The recent spike in aid fows seen in 2005–2006 is reckoned to have been as a result of the debt relief afforded to Nigeria and Iraq (OECD, 2017). Sub-Saharan Africa has been the largest regional benefciary of aid from the DAC. The proportion of aid that went to the region peaked at 39% in 2006 and then fell to less than 30% by 2015 (see Figure 6.2). Whereas other countries have had improved economic outcomes over the past 30 years and thus are becoming less and less reliant on aid, the same cannot be said of sub-Saharan African countries. Even though there was stronger growth in the 1990s, most countries have come from a low economic base, and it would take much stronger and sustainable growth rates to become less reliant on aid. Also, the share of ODA that goes to sub-Saharan Africa has declined steadily since 2005, from a peak of almost 40% in 2006 to less than 30% as of 2013. The non-DAC donor group is not a heterogeneous group in terms of each country’s stage of development. The group includes upper-middleincome and even lower-middle-income countries, such as Pakistan. Some of the countries are in Europe but do not belong to the OECD’s DAC group. Another well-defned group is Middle Eastern oil-producing countries such as Saudi Arabia, Kuwait, and Qatar. BRIC countries – Brazil, Russia, India, China, and South Africa – are also increasingly becoming a signifcant source of aid fow to the developing world. Chinese contributions are well documented. Turkey is another non-DAC donor that provides considerable support to developing countries. 148 Matthew Kof Ocran et al. 180.0 45% 160.0 40% 140.0 35% 120.0 30% 100.0 25% 80.0 20% 60.0 15% 40.0 10% 20.0 5% 0.0 ODA ratio US$ billion FIGURE 6.2 Sub-Saharan Africa’s share of ODA, 2005–2015 0% 2005 2006 2007 2008 2009 All developing countries 2010 2011 2012 Sub Saharan Africa 2013 2014 2015 SSA Share Source: OECD (2018) The most important non-DAC donor group of countries includes China, Turkey, India, Brazil, and Saudi Arabia. Although the exact volume of aid from China to developing countries is diffcult to determine, because of the nature of China’s aid statistics, the available data suggest that it is considerable. The aid that has been provided to 90 countries across the world has led to exponential growth over the period 2001–2011. From a low of USD1.7 billion in 2001, it increased to USD189 billion in 2011 (Quirk, 2014). Turkey’s foreign aid is also reckoned to have increased immensely over the ten-year period 2002–2012. This has soared from USD86 million to USD2.5 billion as the country has prospered. India has been a donor of foreign aid since the 1990s. It receives foreign aid with one hand and gives foreign aid with the other hand. Indeed, the British newspaper the Telegraph reported in 2016 that Britain still gives hundreds of millions of dollars in aid to India and China (Swinford, 2016). Saudi Arabia’s development assistance totaled USD289 million in 2015 (Saudi Aid Platform, 2020). And between 2005 and 2011, Brazil provided development assistance to the tune of USD1.4 billion in total, to 70 countries (Huber, 2012). The motivation behind these and many middle-income countries’ efforts at providing foreign aid to developing countries needs to be explained. 6.5 AID EFFECTIVENESS 6.5.1 Aid and growth The convention of extending aid, particularly after the Second World War, was principally aimed at assuaging the economic diffculties of wardistraught economies and to occasion auspicious channels toward economic rejuvenation. The scope of concentration, however, has evolved in Chapter 6 • Foreign aid and economic development 149 recent times to refect the general economic concerns of the developing and underdeveloped world, after the end of the Cold War in 1989 (Ccheang, 2009). Thus, foreign aid is now targeted at engendering rapid and palpable growth in regions typifed by severe macroeconomic instability and often dealing with the twin challenges of low domestic savings and reduced foreign exchange infows (Basnet, 2013). In an economy where neither domestic savings nor export-fnanced imports are fully capable of satisfying investment demand, foreign aid could assist in bridging the savings–investment gap and the foreign exchange gap: the conventional two-gap approach to an aid-development analysis. The growth-enhancing mechanisms of aid would thus include augmenting the levels of human and physical capital and bolstering an economy’s capacity to import capital goods while limiting conditions that incite declines in investments or savings (Morrissey, 2001). The ability of foreign aid to effectively achieve its prescribed objective remains a contentious issue in the policy arena and the academic arena. Whereas the prevailing view in the 1990s (e.g. see Boone, 1994, 1996) was that aid did not instigate growth in developing countries, the 2000s have witnessed a drift in perspective, signaling that ‘aid works’. Panel-based empirical studies10 have yielded evidence supporting the hypothesis of a positive aid effect on growth (Dalgaard, Hansen, & Tarp, 2004). The argument is far from conclusive; nevertheless, the idea that aid is universally effective is unfounded. For instance, while micro-based evaluations (Cassen & Associates, 1986) affrm the premise that ‘aid works’ in most scenarios, macro-based analyses have yielded largely equivocal outcomes, often fnding no signifcant aid effects on growth. Mosley (1986) terms the given dichotomy ‘the micro-macro paradox’. Dalgaard and Hansen (2001), however, attempts to resolve the paradox by estimating aggregate or macro returns on aid, in comparison to estimates of micro returns on individual investment projects. Aid investment productivity exceeds domestic investment productivity in relative terms. The evident disparity in fndings has been ascribed to a number of factors, including the distribution and quality of data found, sample size used, econometric methodologies employed, and the model of growth adopted (Doucouliagos & Paldam, 2009). Many inquires into the aid–growth framework either predate or fail to capture newer developments in growth theory. Many of these dated studies correlate negative growth with aid fows, without taking into account the direction of causation, the overall system of variables determining growth, or the aid counterfactuals (Addison, Morrissey, & Tarp, 2017). Thus, ‘aid’ must be incorporated into a system of robust growth specifcations if it is to yield any determinative effects on growth (Doucouliagos & Paldam, 2009). In the theoretical purview, the idea that aid yields ambiguous effects on growth is easily shown, as observed by Burnside and Dollar (2000). In a standardized neoclassical growth framework, steady-state effects are explained to depend not only on the type and amount of aid but also on how effciently aid is used by the recipient economy and the kinds of distortions it incites, if any (Karras, 2006). Employing a similar growth specifcation, Obstfeld (1999) explains that a country’s output, or steady-state capital stock, remains unaffected by lump-sum external aid; the latter only speeds 150 Matthew Kof Ocran et al. up the adjustment to a steady state. For aid to yield nonzero steady-state effects on output, however, Obstfeld (1999) suggests making modifcations to the model. One such modifcation is espoused by Dalgaard et al. (2004), where the theoretical ambiguity of the aid effect on steady-state capital or output is affrmed in a simple overlapping-generations model. Clearly, the uncertainty surrounding the aid–growth relationship is resolvable only empirically, and as indicated earlier, an empirical consensus seems to be emerging in recent years. For instance, the notion that aid is largely ineffective (as earlier empirical studies suggest) is qualifed in the seminal paper by Burnside and Dollar (2000), who argue that aid, when combined with good trade, fscal, and monetary policies, could have positive effects on growth. In support, Holmgren, Kasekende, Atingi-Ego, and Ddamulira (1999) show that in the scenario of structural reforms and sound policies, aid has a strong positive effect on a country’s economic growth outcome. Real-world evidence of the given perspective is refected in the experiences of Ghana and Uganda. During the 1980s, when many developing countries pursued economic reforms to rehabilitate their striving economies, Ghana and Uganda were the most successful reformers and prominent aid recipients as well. In that era, macroeconomic indicators had plummeted distressingly, the culprit being gross economic mismanagement, exacerbated by civil war in Uganda (Rodrik, 1998). Grappling with severe economic diffculties, both economies recovered with continual growth, in the face of exponential increases in aid infows from both bilateral sources and multilateral sources (Tsikata, 1999; Holmgren et al., 1999; Aryeetey & Tarp, 2000). Montinola (2010) employing data on 67 developing countries, however, observes that although aid promotes fscal reform, the given impact is more pronounced in democratic economies, where the positive effect of aid on reforms rises with higher levels of democracy. Hansen and Tarp (2001), Dalgaard and Hansen (2001), and Jensen and Paldam (2003), however, present evidence suggesting that aid could have positive effects even in countries fraught with unfavorable policy environments. Thus, a positive impact of aid on growth does not depend on optimal policies, as prescribed by studies such as those by Burnside and Dollar (2000), Collier and Dollar (2002), and McGillivray, Feeny, Hermes, and Lensink (2006). A few studies also affrm that aid is ineffective at increasing economic performance, such as those byGriffn (1970), Griffn and Enos (1970), Weisskopf (1972), Easterly (2003), Easterly (2007a, 2007b) and Rajan and Subramanian (2008). Here aid is believed to have the following characteristics (Alemu & Lee, 2015): 1 It is fully exhausted. 2 It substitutes rather than complements domestic resources in the receiving country. 3 It interferes with domestic income distribution. 4 It incites the import of unimportant technology. 5 It generates greater ineffciencies and corruption in the governments of developing countries. Knack (2004) and Brautigam and Knack (2004) assert that, aid may actually worsen the effcacy of democratic institutions. Thus, large infusions of Chapter 6 • Foreign aid and economic development 151 aid maybe undesirable. Another strand of literature – by Mosley (1980) and Mosley, Hudson, and Horrell (1987) – suggests that aid has had no impact on economic performance and growth. 6.5.2 Aid and poverty The developing world is signifcantly mired in chronic poverty, even after nearly six decades of continual aid infows. Currently, more than half of the world’s population subsists on less than USD2 a day, with limited access to good sanitary conditions; an approximate half of these estimated three billion people are in abject poverty, subsisting on less than UDS1 a day, and lacking access to potable water (Azam, Haseeb, & Samsudin, 2016). In subSaharan Africa, for instance, the extreme poor have persistently accounted for about 41% to 48% of the population, (Barrett, 2008). The controversies surrounding the effcacy of aid have been partly substantiated by these astounding fgures, as the principal objective of most external aid fows (particularly into the developing regions of the world) have been inclined towards poverty alleviation and growth. The original aid-development theory was premised on the hypothesis that aid infows into developing economies serve to relax the capital and investment constraints characteristic of countries in these regions. Aid, thus, enables these economies to reach their optimal or steady-state growth levels faster than they would otherwise. The continual growth creates avenues for continued poverty reduction (Ravallion & Chen, 1997). There is the possibility, however, of aid’s spurring growth without its necessarily translating into declining levels of poverty (Fosu, 2017). The alternate scenario is possible too, where aid could augment the standards of living of a given population (as poverty declines) but with no meaningful impact on the overall growth of the economy (Arvin & Barillas, 2002). That notwithstanding, there is a seeming swing in the focus of the international development community in recent times, where poverty alleviation is emphasized, as opposed to growth, in the economic development discourse (Asra, Estrada, Kim, & Quibria, 2005). For most donors now, growth in the developing world is valuable only if it can be construed as favorable to the poor (Mosley, Hudson, & Verschoor, 2004). Sachs and McArthur (2001) show that aid is effective at mitigating poverty and can translate into growth and development. Connors (2012) indicates that aid’s overarching objective of poverty reduction has good prospects of fueling economic growth and enhancing institutional reform, in addition to its fundamental goal of poverty mitigation. Riddell (2014) argues that aid, where extended directly or indirectly, could be instrumental in improving the lives of the people who are in most need of it. This contemporary perspective was well refected in the UN’s Millennium Development Goals (MDGs) and the sustainable development goals (SDGs). The World Bank, for instance, envisages a world devoid of poverty – an overarching view shared by its regional extensions, comprising the African Development Bank, the Asian Development Bank, the Inter-American Development Bank, and the International Monetary Fund (IMF). After the inception of 152 Matthew Kof Ocran et al. the MDGs, some signifcant reductions in poverty have been recorded in some developing countries. In 2014, for instance, about 74 countries met the target of halving their poverty rates. Specifcally, the global proportion of extreme poverty dropped from 47% in 1990 to 22% in 2014, and the number of extremely poor people decreased from 1.92 billion in 1990 to 1.01 billion in 2010 (Wells, 2015). However, a noteworthy fraction of aid recipients presents limited evidence of economic development: poverty reduction, declining rates of unemployment, and stable income growth (Azam et al., 2016). Evidence suggests that rising external aid infows into these developing countries have been accompanied by increasing poverty and unemployment (Oduor & Khainga, 2009). In Africa, for example, over USD450 billion in external aid has been extended since the 1960s – commensurate to about six Marshall Plans – and yet they have yielded negligible outcomes in alleviating poverty (Sachs & Ayittey, 2009). Notwithstanding the positives of the MDGs, nearly one in fve people still survives on less than USD1.25 a day in developing countries, often fraught with vulnerable and politically fragile economic environments (Wells, 2015). These statistics quite validate the fact that the issue of extreme poverty has barely been surmounted. The Organization for Economic Cooperation and Development’s (OECD) review of the aid impact on economic development over a period of 25 years indicates that external aid has provided a minimal measurable contribution to mitigating extreme poverty, especially in the world’s rural regions (OECD, 1985). This was ascribed to the fact that external aid is often directed at countries dealing with highly challenging and intractable economic diffculties, including emergency conditions arising from conficts, natural disasters, and refugee infuxes and not necessarily at countries with high investment returns or prospects. In a similar vein, Connors (2012) discloses that, in practice, external aid has been largely ineffective at reducing poverty or occasioning market-based improvements in developing regions. Sachs and Ayittey (2009), therefore, stress the need to view aid as a supplement to market-led development and not as a substitute for the forces of supply and demand, especially in poor economies lacking in income, infrastructure, and creditworthiness. Ijaiya and Ijaiya (2004), in examining the aid–poverty relationship on a cross-country sample of sub-Saharan African economies, fnd no signifcant impact from aid on poverty reduction. The low income levels in these countries are believed to be contingent on the weak macroeconomic management condition in the region, as evidenced in the forms of bad governance, corruption, and political and economic instability. To improve the effectiveness of aid, however, some donors have adopted a selectivity arrangement, where aid agreements seemingly favor only those economies whose policy environments are in some sense already acceptable (Mosley et al., 2004). It is quite diffcult, however, to directly examine the aid effect on poverty across countries, as comparative cross-country data on poverty over time are scarce (Gomanee, Morrissey, Mosley, & Verschoor, 2005). Additionally, many poverty measures are income based, with limited cross-country comparability. Some studies in the literature have adopted Chapter 6 • Foreign aid and economic development 153 indirect approaches with variables that strongly correlate with poverty, observing how they respond in the circumstance of aid. For instance, Gomanee et al. (2005) tests the hypothesis that aid contributes to increasing aggregate welfare, measured by infant mortality and the human development index (HDI), in 104 recipient countries over the period 1980–2000. The results show positive aid effects on the welfare indicators and even greater effects in low-income economies. Asra et al. (2005), however, obtain regression outcomes suggesting that on average, aid has been effective at mitigating poverty, under a variety of settings (in terms of both the policy atmosphere and the quality of governance), in an assortment of developing countries. Quite uncommonly, their study adopts poverty reduction as the metric for measuring aid effectiveness, as opposed to growth, in a panel model framework. The fndings signal the effectiveness of aid when it is relatively moderate, and an eventual decline in aid effectiveness when the volume of aid surpasses the critical value specifed by the absorptive capacity of the country. Collier and Dollar (2002) compare actual aid allocations to estimated poverty-effcient aid allocations, derived using the headcount, poverty-gap, and squared poverty-gap measures of poverty, to ascertain the allocation of aid that has maximum poverty-reducing effects. This optimal allocation depends on the quality of policies and the level of poverty. Collier and Dollar (2002) observe a disparity between the poverty-effcient allocation of aid and actual aid allocations. With respect to the countries studied, present (actual) aid allocations are observed to move an approximate ten million people out of poverty, annually. In the circumstance of poverty-effcient aid allocations, however, impacts such allocation are projected to be twice as effective. Sachs and Ayittey (2009), nevertheless, staunchly believe that developing regions, especially Africa, do not need foreign aid to assuage their economic diffculties, because, evidently, these regions have had minimal successes with aid-led development. To these authors, the idea of pumping more external aid into developing countries needs to be crucially reassessed. The plausibility of aid generating palpable declines in poverty is largely contingent on which meaningful reforms accompany the given aid infow. A more auspicious mechanism to ensure the effectiveness of aid would be one that empowers economic agents at the micro level (i.e. civil society and community-based groups) to monitor aid infows and engender reform from within (Sachs & Ayittey, 2009). 6.5.3 Aid and domestic resource mobilization Increasingly, domestic resource mobilization (DRM) is rightly becoming a development instrument for generating resources to fund long-term and inclusive economic development efforts. This is because the dwindling and the unpredictability of development assistance or aid in recent times mean that countries in developing countries must look inward for resources to support their economies. The surest way, therefore, for developing countries to reduce aid dependency cycle is to develop their respective capacities to mobilize enough domestic resources to fnance public goods and 154 Matthew Kof Ocran et al. other developmental needs. Thus, developing countries must increase the amount of their own funds available for development fnance (i.e. DRM), in particular by increasing tax revenues. This remains a major challenge for low-income countries (LICs), where revenue/GDP ratios are signifcantly lower than those in developed countries, largely because of weak tax efforts, weak tax administrations, and low taxpayer morale, corruption, and poor governance (OECD, 2014). The key question, however, is whether LICs dependent on aid will encourage or discourage their tax efforts and thus have any infuence on domestic revenue mobilization. While there is no straightforward answer to this question, theory shows that although there are many ways that aid can have indirect effects on tax revenue, the direct effects arise because aid and tax are alternative sources of revenue and political economy factors infuence the choices made by governments (Morrissey, 2015). In general, the theoretical literature outlines three channels in which aid may have effects on tax revenue. First, aid can have indirect effects on revenues in that aid has macroeconomic effects and in that tax revenues are affected by macroeconomic performance. For example, if aid is effective in supporting growth, then revenue should increase in line with an expanding tax base (indicating growth-enhanced tax revenue or the buoyancy of the tax system). Second, aid may have direct effects on fscal revenues in that most aid fnances public goods and services, and therefore, it may substitute for efforts to raise tax revenue or, for a given level of tax, support a higher level of government spending. In this view, such direct effects relate to the amount of aid relative to the level of taxation. Third, technical advice on policy reforms and conditionalities associated with aid that underlines the broader donor–recipient relationship can affect tax revenue. This viewpoint contends that providing support for tax administration or policy reform may increase revenue; however, other policy reforms, such as tariff reductions as part of trade reforms, may reduce revenue, at least in the short term (Morrissey, 2015). Although some empirical studies (Osei, Morrissey, & Lloyd, 2005; Moore, 2014; Ahlerup Baskaran, & Bigsten, 2015) have found that grants or aid were associated with increased tax revenue through tax reforms that reduce the bureaucratic costs of taxation, others (such as Gupta, Clemens, Pivovarsky, & Tiongson, 2004; Carter, 2013; Benedek, Crivelli, Gupta, & Muthoora, 2012) have empirically found that aid reduces tax efforts and tax revenues, largely because it increases pervasive incentives. However, Morrissey (2015) argues that this negative effect of aid on tax efforts is because developing countries often receive aid or grants not because they have a low tax base and relatively low revenue but because they are poor – hence the observed correlation between high aid and low tax. According to this viewpoint, theoretical considerations show that any effect of aid on tax refects a revenue choice that will vary across countries depending on political economy factors. Expanding on the previous point, Morrissey (2015) observes that the effect of aid on tax varies from one country to another, which depends on Chapter 6 • Foreign aid and economic development 155 the nature of political economy that pertains in the country. For example, Morrissey and Torrance (2015) contend that the effect depends on how a government values autonomy, accountability, and bureaucratic costs associated with aid as well as administrative costs of tax reforms. In this regard, a government that values autonomy and wants to be less dependent on aid will choose more tax effort. This is because the requirements of being accountable to donors and negotiating conditionality reduce the autonomy of aid recipients by limiting their policy discretion; even limited conditionality is a constraint on policy action (if only because effort has to be expended to avoid or circumvent the conditions) (Morrissey, 2015). Governments can therefore be expected to prefer greater autonomy and reduce ‘donor capture’ by taking steps to reduce aid dependency. Moreover, Altincekic and Bearce (2014) argue that because aid is subject to conditionality and is less fungible than oil resource revenues in particular, governments are more likely to raise domestic resource revenues than aid if they want control over how revenues are managed. The literature seems to suggest that there is an aid Laffer curve. Lensink and White (2001), comparing aid fows in the 1990s with those from the 1970s, make clear that there are now many more countries receiving what may be termed ‘high aid’ (in excess of 30% of GNP) and that a group of countries that receive very high aid has emerged. In their view, such high aid may do more harm than good, a notion which they captured as an aid Laffer curve. Their elaborate empirical paper also presents an endogenous growth model, which exhibits negative returns to aid at high aid levels and offers some additional reasons why such a phenomenon may exist. Their result is quite similar and consistent with a conclusion reached by Griffn (1970), who argued that aid would reduce the productivity of investment such that if this effect were suffciently large, then aid would reduce growth. The difference here is that unlike the Lesinki and White model, Griffn (1970) suggest a general nonlinear relationship between aid and growth. According to them, the diminishing returns to aid-fnanced government expenditure in the production function means that the negative effect becomes present only after some threshold value has been surpassed. Box 6.1 contains more about the Lensink and White aid Laffer curve. BOX 6.1 The aid Laffer curve Lensink and White (2001) explored the possibility that aid may not have merely decreasing returns (a proposition that everyone would surely accept) but that after a certain level the returns to further aid inflows are negative. The idea that a country can get ‘too much aid’ can be shown by an aid Laffer curve (see Figure 6.3). The horizontal axis measures aid and the vertical beneficial effects. The curve is an inverted U; that is, after a certain threshold, more 156 Matthew Kof Ocran et al. FIGURE 6.3 The aid Laffer curve Beneÿcal effects Aid Source: Lensink and White (2001) aid is detrimental rather than beneficial, so the country would be better off with less aid. The paper begins by illustrating that the number of countries receiving high aid infows (measured in relation to either their GNP or their population) has increased over time and draws the following conclusion: some countries are now quite clearly ‘very high aid recipients’, which was not so clear in the 1970s. Is all this aid a good thing? More specifcally, is it possible that there is a point at which a country would be better off with less aid rather than more? That this may be so is a notion we embody in the aid Laffer curve. Moreover, both the incorporation of aid fows into an endogenous growth model, and an examination of existing literature on aid effectiveness, give grounds for thinking that mechanisms may well exist which would cause an aid Laffer curve to be observed in practice. Our empirical estimation bears this out. The policy conclusions of our analysis may seem very clear: place a ceiling at aid around the top of the aid Laffer curve. Any country receiving more should lose this excess, which should be redistributed to countries in which aid will be effective. However, while we have sympathy with this conclusion, we would urge some caution in that attention should also be paid to special circumstances (e.g. short periods of high emergency aid or debt relief), the type of aid, and the possibilities of increasing aid effectiveness at all levels of aid. Lensink and White (2001) According to most multilateral donor agencies, such as the World Bank and the IMF, the revenue generation potential in LICs, such as in some Chapter 6 • Foreign aid and economic development 157 countries in Africa, has not been suffciently tapped by revenue authorities, which explains their overreliance on aid. Not only have these donors directly provided technical assistance, but also their consultation missions have issued several country assessment reports and recommended measures such as tax policy reforms, revenue administration measures, spending controls, and improved cash management, all aimed at improving the countries’ respectively capacities to collect eligible taxes to fnance their respective national budgets. In June 2012, the IMF Fiscal Affairs Department (FAD), which assessed the implementation status of tax administration reforms in Ghana, made several recommendations: modernization of governance, policy and program designs and monitoring, taxpayer selfassessment, and compliance management. In sum, although the effect of development assistance on long-term domestic revenue mobilization is uncertain, there is now a consensus that that aid must also be aimed at supporting the recipient country’s domestic tax mobilization effort. And continued reliance on aid in the long term may have negative repercussions on DRM (IMF, 2011). 6.5.4 Aid uncertainties and conditionalities While much of the aid-effectiveness literature has focused on the aid– growth relationship, recent studies have pointed out that the relationship is not straightforward and that the potency of aid in driving growth to a large extent depends on how stable or predictable aid is. Lensink and Morrissey (2000) posit that it is not the level of aid fows per se but rather the stability of such fows that determines the impact of aid on economic growth. They point out that such uncertainty in aid fow infuences the relationship between aid and investment; infuences how recipient governments respond to aid; and therefore infuences how aid affects growth. Estimating a standard cross-country growth regression, including accounting for the level of aid and aid uncertainty (which is negative and signifcant), they fnd that aid has a signifcant positive effect on growth. This suggests that aid will only positively infuence growth and will be effective if it is stable. While evidence in support of the negative effect of unpredictability of aid on aid management by recipient countries is overwhelming, few studies have also argued that such a signifcant share of such unpredictability patterns can be associated with factors that are close proxies for major changes in a country’s environment and therefore justify, if not necessitate, some degree of unpredictability in donor behavior. For example, Celasun and Walliser (2007) argue that while low predictability always results from donors’ not delivering on their original promises (i.e. the ‘donors never live up to their commitments’ view) country conditions that need to prevail for aid to be used effectively also explain the extent of unpredictability and explain why fckle donor behavior may be just one cause of commitment deviations or projection deviations from actual outcomes. The changing conditionalities attached to aid also matter. Montinola (2010), defning ‘aid conditionality’ as the setting of policy goals in exchange 158 Matthew Kof Ocran et al. for access to aid, investigates whether aid conditionality promotes reform and whether the recipient regime type matters. Focusing on the impact of IMF and World Bank aid on fscal reform in 68 countries, he argues that conditional aid is effective but that its effcacy depends on recipient countries’ level of democracy. This is because the value of aid to governments depends on the degree to which it helps them maintain power, and recent work shows that the marginal impact of aid on political survival increases with the level of democracy (Montinola (2010). Aid conditionality may not necessarily result in policy reforms because governments are often unwilling to carry out the required policy changes – because they view the conditions to be inappropriate or fear that the reforms may endanger the political support they get from society (Hermes & Lensink, 2001). In most cases, recipient governments agree on adhering to the conditions ex ante to obtain the fnancial aid without really supporting the contents of these programs. According to Hermes and Lensink (2001), this is the result of the fact that the contents are being set by World Bank representatives or donors without the active involvement of recipient governments and civil society, so these governments do not own the reforms. Box 6.2 contains the other causes for the nonimplementation of conditionality or why it may not infuence reforms suggested in the literature. BOX 6.2 Aid, conditionality, and good governance Aid conditionality has been the normal practice for the past decades. Bilateral as well as multilateral donors aim at achieving specifc objectives and outcomes when giving aid. The idea is that setting conditions related to the disbursement of aid should provide incentives to the recipient government to stimulate them to take actions or to carry out policies that increase the probability of obtaining these objectives and outcomes. In other words, conditionality should help to increase the effectiveness of giving aid. Yet conditionality has been disputed. Especially since the early 1980s, when the IMF and World Bank started to provide structural adjustment loans conditional on changes in government policies, conditionality has come under scrutiny, largely because the outcomes of the structural lending programs were rather disappointing and, according to some observers, even harmful to economic development. The initial reaction of the IMF and World Bank to the lack of success of conditionality was to increase the number of conditions in the program and to shorten the period over which the program was to be executed and evaluated. The aim of such a redefnition of conditions was to further stimulate recipient governments to carry out the required reforms. Yet the results of policy reforms remained bleak in most cases. Most observers do not criticize the principle of imposing conditions on aid as such. What they criticize is the nature of the conditions imposed on recipient governments and the way donors decide on selecting these conditions Chapter 6 • Foreign aid and economic development 159 (Killick, 1996, 1997; Hermes & Schilder, 1997; White & Morrissey, 1997; Dijkstra, 1999). Several critics point out that the main reason for the failure of aid to be effective is that recipient governments in practice do not adhere to the conditions. One of the main causes for the nonimplementation of conditionality suggested in the literature is that failure is only rarely penalized, for instance by suspending or even stopping aid disbursements. Donors have their own incentives to continue disbursing aid, even when reforms have not been carried out. For instance, donors may feel pressured to give aid to prevent further macroeconomic deterioration or defaults on loans and debt services. Moreover, inappropriate incentives to staff of donor organizations may reward high funding levels or punish nondisbursement by reducing next year’s budgets. Such incentives reduce the donors’ credibility and will undermine the incentives of recipient governments to implement policies. Hermes and Lensink (2001) 6.5.5 Aid and corruption Another issue that has engaged the attention of researchers and donor community is whether aid fuels the incidence of corruption in aid-recipient countries.11 This question remains relevant in development economics discourse because, despite a large body of writings that has emerged on the corrosive effect of corruption that undermines the effectiveness of aid, the empirical literature is inconclusive, and the direction of causation remains unresolved. Anecdotal evidence from available cross-country data appears to suggest that LICs that have received the most aid had scores that are way lower on the transparency international corruption perception index than those countries receiving less aid. A cursory look at Figure 6.4 in Box 6.3 appears to support this point. BOX 6.3 Global 2017 CPI score and ranking The corruption perception index (CPI) – which orders 180 countries and territories by their apparent levels of public sector corruption according to knowledgeable people and people in commerce with the aid and scores using a 0 to 100 scale, where 0 denotes highly corrupt and 100 clean – suggests that corruption is highly associated with poverty-stricken and underdeveloped countries, most of which are recipients of large amounts of aid. Figure 6.4 indicates that over 90% of countries in sub-Saharan Africa are ranked above 80 or higher in the global CPI ranking of countries. 160 Matthew Kof Ocran et al. FIGURE 6.4 Global 2017 CPI score and ranking 2017 Ranking CPI Score 178 57 41 85 16 NZL SGP GBR AUT EST BTN TWN POL VCT GEO KOR SVK ROU HUN BGR TUN GHA BEN ALB BRA THA TZA PHL NER TGO MWI IRN HND PRY LBN NIC CAF KHM ERI PRK YEM 200 89 180 160 140 120 100 80 60 40 20 0 100 90 80 70 60 50 40 30 20 10 0 Source: Authors’ creation, on the basis of data from Transparency International Morrissey (2015) contends that although the question whether aid affects corruption is not easy to address, donor technical support and institutional interventions for monitoring tax and public expenditure are intended to reduce corruption in public fnance but may be most effective for aid funds. The study further posits that aid may lessen corruption on the basis that aid is least attractive for corrupt people, because it is subject to greater monitoring by donors; corruption involving donor funds is more likely to be observed and investigated. Furthermore, some study fndings have concluded that aid might beneft governance by reducing corruption as it might not only possibly help recipient countries implement far-reaching institutional reforms but also help increase the salaries of civil servants (Alesina & Weder, 2002; Tavares, 2003; Charron, 2011). Providing empirical insights into the impact of foreign aid on corruption levels in SSA countries, Mohamed, Kaliappan, Ismail, and Azman-Saini (2015) support this standpoint by concluding that foreign aid reduces the corruption levels of SSA countries. According to them, although aid from different bilateral sources has different effects on corruption, the effect is likely to be greater in nations that experience a higher level of corruption. On the contrary, while empirical studies such as that by De la Croix and Delavallade (2014) suggest that aid infuences corruption in recipient countries, studies such as that by Mernard and Weill (2016) fnd no correlation between aid and corruption. Despite these fndings, recent review studies by Quibria (2017) point out that the negative impact of aid on corruption appears to enjoy greater support in recent literature because of the strong desire of the international development community to improve the development impact of foreign aid, and it has therefore taken a frm stance against corruption. This review suggests that these measures have had a substantial impact on combatting corruption in aid-recipient countries. Key among some of these measures is performance-based lending, where the multilateral development banks (MDBs), such as the World Bank, base their aid allocation in part on Chapter 6 • Foreign aid and economic development 161 indicators of corruption. Bilateral donors, such as the Millennium Challenge Corporation of the United States government, have made anticorruption central to their aid-allocation process. Another important measure that donors have adopted is improving the transparency and accountability of recipients. In addition to addressing their own accountability, bilateral and multilateral agencies have sought to improve the transparency and accountability of recipients (Quibria, 2017). These activities include support for creating anticorruption commissions, building investigative and judicial institutions, implementing new public procurement systems, and improving public fnancial management practices. 6.6 CONCLUSION The considerable volume of foreign development assistance aimed at stimulating economic development, particularly in sub-Saharan Africa, has not been entirely effective. Indeed, the aid-effectiveness literature reports mixed results. The role of foreign aid in alleviating poverty and facilitating longterm growth has been largely disappointing over the past fve decades. We provide a number of suggestions to go beyond aid. Here the argument is that developing countries, and mostly those in sub-Saharan Africa, cannot continue to expect or rely on foreign assistance to engender economic growth and development, given the dismal development outcomes over the past fve decades. We suggest that countries re-double their efforts to mobilize domestic resources to generate the capital required for funding investment. The reality, though, is that domestic tax bases are often small because a considerable portion of the economies are outside the formal sector. The low output and productivity of the informal sectors makes the cost of tax administration aimed at bringing the sector into the tax net quite exorbitant. Such countries need to transform the informal sector into a formal sector. Innovative development fnance options that are increasingly becoming available need to be harnessed to generate funds to support domestic economic development efforts. Institutional reforms and the creation of new and progressive institutions that support development ought to be encouraged as well. The illicit outfow of capital from the developing world and renewed efforts aimed at fghting corruption would all contribute to increasing the pool of resources required to fund development. Discussion questions 1 Discuss the argument for and against aid given by developed countries to developing countries. Do you support the critics’ view that aid has worsened poverty levels of aid-recipient countries rather than alleviated them? 2 Explain the arguments for and against external aid. What policy and implement reforms are relevant to an effcient aid package? 3 ‘Political and strategic considerations more than economic development underlie donor’s aid 162 Matthew Kof Ocran et al. 4 5 6 7 allocation’. How valid is this statement in light of the effectiveness of aid in developing countries? Why does predictability matter in aid effectiveness and growth? To what extent has foreign aid succeeded in assuaging the economic diffculties of the developing world? In recent times, how has foreign aid fared in combatting the twin challenges of low domestic savings and reduced foreign exchange infows in developing countries? Some recent studies have indicated that aid works in a sound macroeconomic environment. Discuss the economic conditions needed for aid to thrive. Are there any real-world examples of countries that have experienced palpable growth in the face of aid, complemented by structural reforms and sound policies? 8 Increasing external aid infows to developing regions has not translated into declining poverty and unemployment. What are some possible reasons for the observed situation? 9 What are the indicators of an economy’s absorptive capacity, which determines how much aid is enough to yield effective results? Is there a threshold after which additional infows of aid yield ineffective results? 10 Is there an amount of aid that yields maximal poverty-reducing effects? How do we ascertain this threshold? Is it country specifc? Notes 1 Although the loan component of ODA is payable over time at favorable interest rates, which are often considerably lower than market rates, grants are not payable. 2 CARE – Cooperative for American Remittances to Europe, which was later rechristened the Cooperative and Relief for People Everywhere – was formed in 1945 to provide humanitarian assistance to countries in postwar Europe. It did not begin operations in Africa until the 1960s. 3 OXFAM – Oxford Committee for Famine Relief – was formed in 1942. Initially, the group focused on mobilizing relief to support starving women and children in enemy-occupied Greece, which was facing a British naval blockade during the war. 4 The top three recipients of US foreign aid are Afghanistan, Israel, and Egypt. Afghanistan is the top now because of the antiterrorism 5 6 7 8 war being fought in the country. Historically, Israel and Egypt have been the top recipients in per capita terms, for US strategic interests. A recipient country of Chinese aid cannot have a diplomatic relationship with Taiwan or recognize the Dalai Lama as the spiritual leader of the Tibetan people. The number of Chinese workers in Africa in 2014 was estimated at 252,000 by offcial Chinese sources, as quoted by the AfricaChinese Research Initiative. Lamisi Solido, the one-time governor of the Nigerian central bank, admonished African countries: ‘China is capable of the same forms of exploitation as the West. . . . Africa is now willingly opening itself up to a new form of imperialism’. Members include Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, European Union, Finland, France, Germany, Chapter 6 • Foreign aid and economic development 163 Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, the Netherlands, New Zealand, Norway, Portugal, Slovenia, Sweden, Switzerland, the United Kingdom, and the United States. 9 The IDA is the development fnance institution of the World Bank that focuses on the poorest countries of the world. 10 See Dowling and Hiemenz (1983), Singh (1985), Levy (1988), Hadjimichael et al. (1995), Burnside and Dollar (1997), Burnside and Dollar (2000), and Hansen and Tarp (2001). 11 Corruption may mean different things to different people, organizations, and countries. Transparency International, a global anticorruption coalition, defnes it simply as ‘the abuse of entrusted power for private gain’. The World Bank, however, provides a slightly more detailed defnition: a form of deceit by people occupying positions of infuence, in an effort to amass wealth. References Addison, A., Morrissey, O., & Tarp, F. (2017). The macroeconomics of aid: An overview. Journal of Development Studies, 53(7), 987–997. doi:10.1080/0 0220388.2017.1303669 Ahlerup, P., Baskaran, T., & Bigsten, A. (2015). Tax innovations and public revenues in sub-Saharan Africa. Journal of Development Studies, 51(6), 689–706. Alemu, A. M., & Lee, J. S. (2015). Foreign aid on economic growth in Africa: A comparison of low and middleincome countries. South African Journal of Economic and Management Sciences, 18(4), 449–462. Alesina, A., & Dollar, D. (2000, March). Who gives foreign aid to whom and why? Journal of Economic Growth, 5(1), 33–63. Alesina, A., & Weder, B. (2002). Do corrupt governments receive less foreign aid? American Economic Review, 92, 1126–1137. Altincekic, C., & Bearce, D. (2014). Why there should be no political foreign aid curse. World Development, 64, 18–32. Arvin, B. M., & Barillas, F. (2002). Foreign aid, poverty reduction, and democracy. Applied Economics, 34(17), 2151–2156. Aryeetey, E., & Tarp, F. (2000). Structural adjustment and after: Which way forward. In E. Aryeetey, J. Harrigan, & M. Nisanke (Eds.), Economic re-forms in Ghana: The miracle and the mirage. Oxford: James Curry and Woeli Publishers. Asra, A., Estrada, G., Kim, Y., & Quibria, M. G. (2005). Poverty and foreign aid evidence from recent cross-country data. ADB Economics and Research Department Working Paper Series No. 65. Retrieved from https://www. adb.org/publications/poverty-andforeign-aid-evidence-recent-crosscountry-data Azam, M., Haseeb, M., & Samsudin, S. (2016). The impact of foreign remittances on poverty alleviation: Global evidence. Economics and Sociology, 9(1), 264–281. Barrett, C. B. (2008). Foreign aid, development strategies and poverty reduction. In S. Rundle (Ed.), Economic justice in a fat world: Christian perspectives on globalization. Downers Grove, IL: InterVarsity Press. Basnet, H. C. (2013). Foreign aid, domestic savings, and economic growth in South Asia. The International Business & Economics Research Journal (Online), 12(11), 1389. Beaumont, P. (2017, December 21). Trump threatens to cut aid to countries over UN Jerusalem votes. The 164 Matthew Kof Ocran et al. Guardian. Retrieved from www. theguardian.com/us-news/2017/ dec/20/donald-trump-threat-cutaid-un-jerusalem-vote Benedek, D., Crivelli, E., Gupta, S., & Muthoora, P. (2012). Foreign aid and revenue: Still a crowding out effect? IMF Working Paper WP/12/86. Washington, DC: IMF. Berger, M. (1948). How the molotov plan works. The Antioch Review, 8(1), 17–25. Berthélemy, J. C., & Tichit, A. (2004). Bilateral donors’ aid allocation decisions: A three dimensional panel analysis. International Review of Economics and Finance, 13(3), 253–274. Boone, P. (1994). The impact of foreign aid on savings and growth. Centre for Economic Performance Working Paper No. 677. London: London School of Economics. Boone, P. (1996). Politics and the effectiveness of foreign aid. European Economic Review, 40, 289–328. Brautigam, D., & Knack, S. (2004). Foreign aid, institutions, and governance in sub-Saharan Africa. Economic Development and Cultural Change, 255–285. Burnside, C., & Dollar, D. (1997). Aid, policies, and growth. Policy Research Working Paper No. 1777. Washington, DC: World Bank. Burnside, C., & Dollar, D. (2000). Aid, policies, and growth. American Economic Review, 90(4), 847–868. Carter, P. (2013). Does foreign aid displace domestic taxation? Journal of Globalization and Development, 4, 1–47. Cassen, R., & Associates. (1986). Does aid work? Oxford: Clarendon Press. Ccheang, V. (2009). The effect of foreign aid on economic growth and corruption in 67 developing countries. Public Policy Department, Georgetown University, Washington, DC: World Bank. Celasun, O., & Walliser, J. (2007, October 19–20). Predictability of aid: Do fckle donors undermine economic development? Paper presented at the 46th Panel Meeting of Economic Policy International Monetary Fund and the World Bank, Lisbon. Charron, N. (2011). Exploring the impact of foreign aid on corruption: Has the ‘anti-corruption movement’ been effective? The Developing Economies, 49, 66–88. Collier, P., & Dollar, D. (2002). Aid allocation and poverty reduction. European Economic Review, 46, 475–1500. Connors, J. (2012). Foreign aid and global poverty. Working Paper No. 17. Winston-Salem, NC: Department of Economics Wake Forest University. Curtin, W. P. E. (1954, June). The effect of Colombo plan. Pakistan Horizon, 7(2), 76–79. Dalgaard, C. J., & Hansen, H. (2001). On aid, growth and good policies. Journal of Development Studies, 37, 17–41. Dalgaard, C. J., Hansen, H., & Tarp, F. (2004). On the empirics of foreign aid and growth. The Economic Journal, 114(496). De la Croix, D., & Delavallade, C. (2014). Why corrupt governments may receive more foreign aid. Oxford Economic Papers, 66, 51–66. Dietrich, S. (2012). Bypass or engage? Explaining donor delivery tactics in foreign aid allocation. International Studies Quarterly, early view. doi:10.1111/isqu.12041 Dijkstra, G. (1999). Programme Aid, Policies and Politics: Programme Aid and Conditionality, SIDA Evaluation Report 99/17:10, Stockholm: SIDA. Doucouliagos, H., & Paldam, M. (2009). The aid effectiveness literature: The sad results of 40 years of research. Journal of Economic Surveys, 23(3), 433–461. Dowling, J. M., & Hiemenz, U. (1983). Aid, savings, and growth in the Asian region. The Developing Economies, 21(1), 1–13. Drury, A. C., Olson, R. S., & Van Belle, D. A. (2005). The politics of humanitarian aid: US foreign disaster assistance, 1964–1995. Journal of Politics, 67(2), 454–473. Dudley, L., & Montmarquette, C. (1976). A model of the supply of bilateral foreign aid. American Economic Review, 64(1), 132–142. Chapter 6 • Foreign aid and economic development 165 Easterly, W. (2003). Can foreign aid buy growth? The Journal of Economic Perspectives, 17(3), 23–48. Easterly, W. (2007a). Are aid agencies improving? Economic Policy, 22(52), 633–678. Easterly, W. (2007b). Was development assistance a mistake? American Economic Review Papers and Proceedings, 97(2), 328–332. Fosu, A. K. (2017). Growth, inequality, and poverty reduction. Poverty Reduction in the Course of African Development, 57. Gomanee, K., Morrissey, O., Mosley, P., & Verschoor, A. (2005). Aid, government expenditure and aggregate welfare. World Development, 33(3), 355–370. Griffn, K. (1970). Foreign capital, domestic savings and economic development. Oxford Bulletin of Economics and Statistics, 32(2), 99–112. Griffn, K., & Enos, J. (1970). Foreign assistance: Objectives and consequences. Economic Development and Cultural Change, 18(3), 313–327. Gupta, S., Clemens, B., Pivovarsky, A., & Tiongson, E. (2004). Foreign aid and revenue response: Does the composition of aid matter? In S. Gupta, B. Clemens, & G. Inchauste (Eds.), Helping countries develop: The role of fscal policy (Ch. 14, pp. 385–406). Washington, DC: IMF. Hadjimichael, M. T., Ghura, D., Mühleisen, M., Nord, R., & Ucer, E. M. (1995). Sub-Saharan Africa: Growth, savings, and investment, 1986–93. International Monetary Fund Occasional Paper No. 118, Washington, DC: IMF. Hansen, H., & Tarp, F. (2001). Aid and growth regressions. Journal of Development Economics, 64(2), 547–570. Hermes, N & Schilder, A. (1997). Setting Priorities: The IMF and World Bank and Structural Adjustment Programmes, in Peter B. Boorsma, Kees Aarts and Albert E. Steenge (eds.), Public Priority Setting: Rules and Costs, Dordrecht: Kluwer Academic Publishers, 39–60. Hermes, N., & Lensink, R. (2001). Changing the conditions for development aid: A new paradigm? Journal of Development Studies, 37(6), 1–16. Hjertholm, P., & White, H. (1998, October 9–10). Survey of foreign aid: History, trends and allocation. A paper presented at the Foreign aid and development: Lessons of experience and directions for the future. Institute of Economics, University of Copenhagen, Copenhagen. Hoeffer, A., & Outram, V. (2011). Need, merit, or self-interest: What determines the allocation of aid? Review of Development Economics, 15(2), 237–250. Holmgren, T., Kasekende, L., AtingiEgo, M., & Ddamulira, D. (1999). Aid and reform in Uganda: Country case study. Research Series 23. Kampala: World Bank. Huber, E. (2012). Offcial development assistance: Emerging outreach. Retrieved February 14, 2020, from www.dandc. eu/en/article/brazil-emergingdonor-development-aid IDA. (2007, February). Aid architecture: An overview of the main trends in offcial development assistance fows. International Development Association, Resource Mobilization. Washington, DC: World Bank. Ijaiya, G. T., & Ijaiya, M. A. (2004). Foreign aid and poverty reduction in sub-Saharan Africa: A cross-country investigation. South African Journal of Economic and Management Sciences, 7(3), 542–552. IMF. (2011). Revenue mobilization in developing countries (p. 5). Fiscal Affairs Department. Retrieved from www.imf.org/ external/np/pp/eng/2011/030811. pdf Jensen, P. S., & Paldam, M. (2003). Can the new aid-growth models be replicated? Working Paper No. 2003–17. Aarhus: Institute for Economics. Karras, G. (2006). Foreign aid and long‐run economic growth: Empirical evidence for a panel of developing countries. Journal of International Development, 18(1), 15–28. Killick, T. (1996). Principals, Agents and the Limitations of BWI Conditionality’, The World Economy, 19(2), 211–29. Killick, T. (1997). Principals, Agents and the Failings of Conditionality’, 166 Matthew Kof Ocran et al. Journal of International Development, 9(4), 83–95. Knack, S. (2004). Does foreign aid promote democracy? International Studies Quarterly, 48, 251–266. Lamido, S. (2013, March 11). Africa must get real about Chinese ties. The Financial Times. Retrieved from www. ft.com/content/562692b0-898c-11e2ad3f-00144feabdc0 Leffer, M. P. (1988). United States and the strategic dimensions of the Marshall plan. Diplomatic History, 12(3), 277–306. Lensink, R., & Morrissey, O. (2000). Aid instability as a measure of uncertainty and the positive impact of aid on growth. Journal of Development Studies, 36, 31–49. Lensink, R., & White, H. (2001). Is there aid Laffer curve? Credit Research Paper No. 99/6. Nottingham: University of Nottingham. Levy, V. (1988). Aid and growth in subSaharan Africa: The recent experience. European Economic Review, 32, 1777–1795. McKinlay, R., & Little, R. (1977). A foreign policy model of US bilateral aid allocations. World Politics, XXX(1), 58–86. McKinlay, R., & Little, R. (1978). A foreign policy model of the distribution of British bilateral aid, 1960–70. British Journal of Political Science, 8(3), 313–331. McGillivray, M., Feeny, S., Hermes, N., & Lensink, R. (2006). Controversies over the impact of development aid: It works; it doesn’t; it can, but that depends ... . Journal of International Development, 18(7), 1031–1050. Mernard, A. R., & Weill, L. (2016). Understanding the link between aid and corruption: A causality analysis. Economic Systems, 40(2), 260–272. Mesquita, B. B., & Smith, A. (2007). Foreign aid and policy concessions. Journal of Confict Resolution, 51(2), 251–284. Mohamed, M., Kaliappan, S., Ismail, N., & Azman-Saini, W. (2015). Effect of foreign aid on corruption: Evidence from sub-Saharan African countries. International Journal of Social Economics, 42(1), 47–63. Montinola, R. G. (2010). When does aid conditionality work? Studies in Comparative International Development, 45(3), 358–382. Moore, M. (2014). Revenue reform and statebuilding in anglophone Africa. World Development, 60, 99–112. Morgenthau, H. (1962). A political theory of foreign aid. American Political Science Review, 56(2), 301–309. Morrissey, O. (2001). Does aid increase growth? Progress in Development Studies, 1(1), 37–50. Morrissey, O. (2015). Aid and domestic resource mobilisation with a focus on sub-Saharan Africa. Oxford Review of Economic Policy, 31(3–4), 447–461. doi:10.1093/oxrep/grv029 Morrissey, O., & Torrance, S. (2015). Aid and taxation. In B. M. Avin & B. Lew (Eds.), Handbook on the economics of foreign aid (Ch. 31). Cheltenham: Edward Elgar. Mosley, P. (1980). Aid, savings and growth revisited. Oxford Bulletin of Economics and Statistics, 42(2), 79–95. Mosley, P. (1986). Aid‐effectiveness: The micro‐macro paradox. IDS Bulletin, 17(2), 22–27. Mosley, P., Hudson, J., & Horrell, S. (1987). Aid, the public sector and the market in less developed countries. Economic Journal, 97(387), 616–641. Mosley, P., Hudson, J., & Verschoor, A. (2004). Aid, poverty reduction and the new conditionality. The Economic Journal, 114, F217–F243. Nath, S., & Sobhee, S. K. (2007). Aid motivation and donor behavior. American Review of Political Economy, 5(1), 1–13. Obstfeld, M. (1999). Foreign resource infows, saving, and growth. In K. Schmidt-Hebbel & L. Serven (Eds.), The economics of saving and growth: Theory, evidence, and implications for policy (pp. 107–146). Cambridge: Cambridge University Press. Oduor, J., & Khainga, D. (2009). Effectiveness of foreign aid on poverty reduction Chapter 6 • Foreign aid and economic development 167 in Kenya. GDN Working Paper Series, Working Paper No. 34. Retrieved from www.gdn.int/sites/default/ files/WP34-Kenya-Foreign_AidPoverty_009.pdf OECD. (1985). Twenty fve years of development cooperation: A review (p. 18). Paris: OECD Publishing. OECD. (2006). DAC in dates: The history of OECDs development assistance committee. Paris: Development Assistance Committee. Retrieved March 14, 2018, from www.oecd.org/ dac/1896808.pdf OECD. (2014). Development co-operation report 2014: Mobilising resources for sustainable development. Paris: Author. doi:10.1787/dcr-2014-en OECD. (2017).DAC database. Retrieved February 5, 2017, from www.oecd.org/dac/ financing-sustainable-development/ development-fnance-data OECD. (2018). Total offcial and private fows (indicator). Paris: Author. Retrieved February 28, 2018. doi:10.1787/ 52c1b6b4-en Osei, R., Morrissey, O., & Lloyd, T. (2005). The fscal effects of Aid in Ghana. Journal of International Development, 17(8), 1037–1054. OXFAM. (n.d.). Smart development practice – the tied aid ‘round trip’. Retrieved from www.oxfamamerica. org/static/media/files/aidnowtiedaidroundtrip.pdf Porter, D. M., & Van Belle, D. A. (2009). News coverage and Japanese foreign disaster aid: A comparative example of bureaucratic responsiveness to the news media. International Relations of the Asia-Pacifc, 9(2), 295–315. Quibria, M. J. (2017). Foreign aid and corruption. Georgetown Journal of International Affairs, 18(2), 10–17. Quirk, P. W. (2014). (Re)emerging aid donors in the reshaping world order: How to calibrate U.S. and European foreign assistance to secure transatlantic interests. 2013–2014 Paper Series No. 5. Washington, DC: Transatlantic Academy. Rajan, R., & Subramanian, A. (2008). Aid and growth: What does the crosscountry evidence really show? Review of Economics and Statistics, 90(4), 643–665. Ravallion, M., & Chen, S. (1997). What can new survey data tell us about recent changes in distribution and poverty? World Bank Economic Review, 11(2), 357–382. Riddell, R. C. (2014, March 1). Does foreign aid really work? An updated assessment. Development Policy Centre Discussion Paper No. 33. Retrieved from http://devpolicy.org/publications/ discussion_papers/DP-33-Does-foreignaid%20really-work-an-updatedassessment.pdf Rodrik, D. (1998). Trade policy and economic performance in Sub-Saharan Africa (No. w6562). Cambridge, MA: National Bureau of Economic Research. Sachs, J., & Ayittey, G. B. (2009). Can foreign aid reduce poverty. International Political Economy, 69–98. Sachs, J. D., & McArthur, W. J. (2001). Institutions and geography: Comment on Acemoglu, Johnson and Robinson (2000). NBER Working Paper 8114. Cambridge, MA: National Bureau of Economic Research. Saudi Aid Platform. (2018). Development assistance database. Retrieved February 14, 2020, from https://data. ksrelief.org/en/ContributionsAssistanceCategoryStatistics.aspx Singh, R. D. (1985). State intervention, foreign economic aid, savings and growth in LDCs: Some recent evidence. Kyklos, 38(2), 216–232. Strömberg, D. (2007). Natural disasters, economic development and humanitarian aid. Journal of Economic Perspectives, 21(3), 199–222. Swinford, S. (2016, November 16). Britain till gives hundreds of millions of pounds in aid to India and China, offcial report fnds. The Telegraph. Retrieved February 5, 2018, from www.telegraph. co.uk/news/2016/11/16/britainstill-giving-hundreds-of-millionsof-pounds-in-aid-to-ch/ 168 Matthew Kof Ocran et al. Tavares, J. (2003). Does foreign aid corrupt? Economics Letters, 79, 99–106. Tawfk, N. (2017, December 20). Jerusalem vote: Trump threatens US aid recipients. BBC News. Retrieved from www.bbc.com/news/world-middleeast-42431095 Transparency International. (2017). Transparency international – the global anti-corruption coalition. Retrieved from www.transparency.org Tsikata, Y. (1999). Aid and reform in Ghana. Aid Effectiveness Studies. Washington, DC: World Bank. UN-DESA. (2017). Refection on development policy in the 1970s and 1980s in world economic and social survey 2017. United Nations Development Economic and Social Affairs -DESA Policy Brief #53. New York: Author. UNDP. (2016). From MDGs to sustainable development for all: Lessons from 15 years of practice. New York: United Nations Development Programme. Weisskopf, T. E. (1972). The impact of foreign capital infow on domestic savings in under developed countries. The Journal of International Economics, 2(1), 25–38. Weissman, A. D. (2013). The Marshall plan: A turning point in foreign aid and the struggle for democracy. The Teacher, 47(1), 111–129. Wells, J. (2015). Foreign aid and its importance in relieving poverty. Geodate, 28(3), 5. White, H. & Morrissey, O. (1997). Conditionality when Donor and Recipient Preferences Vary, Journal of International Development, 9(4), 497–505. CHAPTER 7 Global fnancial architecture Emerging issues and agenda for reforms Joshua Yindenaba Abor, Angela Azumah Alu, David Mathuva, and Joe Nellis 7.1 INTRODUCTION In this chapter, we discuss the global economic and fnancial system and the governance structure that facilitates the fow of external capital in it. This is known as the global fnancial architecture or international fnancial architecture. Global fnancial policies and international institutions are an important part of this framework, which ensures the provision of development fnance. The global fnancial architecture is the collective of governance arrangements at the global level for safeguarding the effective functioning (or the stability) of the global fnancial system (Elson, 2010). It is the worldwide framework of global economic and fnancial governance, including legal agreements, institutions, and economic actors that work together to facilitate the international fows of capital for fnancing investments and trade. It is composed of the Bretton Woods institutions, including the International Monetary Fund (IMF), the World Bank Group, the World Trade Organization (WTO), the Bank for International Settlements (BIS), and the regional development fnance institutions in developing and emerging countries. It also involves those institutions and mechanisms that have evolved with the responsibility of preventing, managing, and resolving fnancial crises at the global level. The prevention and the management of fnancial crises are signifcant parts of the global fnancial governance process and for that matter the global fnancial architecture. Financial governance is a key requirement for the provision of fnancial resources for development. Issues regarding reforms of international institutions are also important in the global fnancial architecture discourse. In this chapter, we examine the institutions that make up the global fnancial architecture. We frst discuss international fnancial institutions and examine the evolution, structure, and functions of the various Bretton 170 Joshua Yindenaba Abor et al. Woods institutions. We also examine other global fnancial institutions by discussing their roles and challenges. Then, we look at fnancial globalisation, global crises, and reform issues regarding the global fnancial architecture. We also look briefy at the G7/G10 and G20 and the UN sustainable development goals (SDGs). 7.2 INTERNATIONAL FINANCIAL INSTITUTIONS International fnancial institutions (IFIs) are fnancial institutions that are set up by two or more countries with the aim of fnancing the social and economic development of different countries and promoting international economic cooperation and stability. IFIs are involved in providing advice on development projects, fnancing them, and assisting with the implementation of these projects. IFIs are different from local fnancial institutions in one main respect: IFIs have an international presence and are therefore subject to international law. IFIs include the IMF, the World Bank Group, and other multilateral fnance institutions, including multilateral development banks and regional development banks (RDBs). Although RDBs are part of the multilateral fnancial institutions, they tend to focus on specifc regions of the world. Whereas the Bretton Woods institutions have an international orientation, the RDBs tend to focus on a single or specifc region. The multilateral fnancial institutions are seen as mainly multilateral development fnance institutions (DFIs), and the regional development banks are regarded as regional DFIs. We frst discuss the Bretton Woods institutions and then examine the other global DFIs, including multilateral development banks, multilateral fnancial institutions, and the RDBs. 7.2.1 The Bretton Woods institutions The Bretton Woods system emerged after 1944, when the UN Monetary and Financial Conference took place in Bretton Woods, New Hampshire. After the Second World War, the Bretton Woods system was established and named after the New Hampshire town where they drew up the agreements. This was with the aim of setting up an international economic and fnancial system that would reduce instability (with respect to competitive currency devaluation and trade restrictions) and support development. It established an international basis for which one currency could be exchanged for another. Although the Bretton Woods system came into being following the Great Depression and after the Second World War, it dealt with the global challenges that started during the First World War, including trade restrictions, currency devaluation, defation, and the depression that characterised the global economy of the 1930s. The process also led to the establishment of the three Bretton Woods institutions by representatives of the 44 countries. Bretton Woods institutions included the IMF, the International Bank for Reconstruction and Development (IBRD) (now the World Bank), and the General Agreement on Trade and Tariffs (GATT), which metamorphosed into the WTO. Two economists, Chapter 7 • Global fnancial architecture 171 John Maynard Keynes from the United Kingdom and Harry Dexter White from the United States, played critical roles in the negotiations and process of establishing these institutions. The US and the UK were therefore the key stakeholders in these negotiations. Each of these institutions was tasked to perform specifc functions under the new global economic and fnancial governance system. The IMF was established with the objective of monitoring foreign exchange rates and providing lending on reserve currencies to countries with trade defcits. The IBRD (now World Bank) was supposed to provide underdeveloped countries with the required capital, while the GATT (now WTO) was established to focus on international economic cooperation. Over the years, the roles of these institutions have changed, and we discuss these developments later. The IMF, which has its headquarters in Washington, DC, was established in 1945 with the intent of creating a stable environment for international trade. This was to be achieved by coordinating member countries’ monetary policies and ensuring stability in exchange rates. The fund’s role in ensuring exchange rate stability involved setting a fxed exchange rate system that had other currencies pegged to the US dollar, which was also pegged to gold at USD35 per troy ounce. The IMF was therefore required to offer short-term fnancial support to countries that had diffculties with their balance of payment (BOP). The IMF came into formal existence on 27 December 1945, when 29 countries signed its Articles of Agreement. Member countries were supposed to contribute funds through a quota system to fnance the IMF’s activities, and the size of the quota assigned to each country was based on the country’s gross domestic product (GDP). The quota for each country determined how much IMF fnancing it could access in addition to its voting rights in the fund. Member countries had 250 ‘basic votes’, each in addition to one more vote for each USD100,000 of quota (later changed to 100,000 special drawing rights [SDRs]). The allocation of the basic votes was intended for ensuring that smaller member countries had a say in the fund’s decision-making processes (Spratt, 2009). The board of governors currently govern the IMF and is made up of one governor and one alternate governor, representing their respective member countries. Two important committees (the International Monetary and Financial Committee and the Development Committee) advise the board of governors. The International Monetary and Financial Committee, which has a membership of 24, is in charge of monitoring developments with respect to global liquidity and the transfer of resources to developing countries. The Development Committee has a membership of 25 and a mandate of advising on critical development matters and providing recommendations on fnancial resources needed for promoting economic development in developing countries. It also has the responsibility of advising on issues regarding trade and environment. The IMF has a managing director who serves as the head of the staff and as the chair of the 24-member executive board. The managing director has a number of deputies, including the frst deputy-managing director and three other deputy-managing directors. 7.2.1.1 INTERNATIONAL MONETARY FUND (IMF) 172 Joshua Yindenaba Abor et al. The IMF is accountable to the 189 member countries. It currently has 31 Articles of Agreement covering a range of issues: purposes, membership, quotas and subscriptions, obligations regarding exchange arrangements, operations and transaction of the fund, capital transfers, the general obligations of members, organisation and management, SDRs, the withdrawal from membership, emergency provisions, and amendments. Since its establishment in 1945, the Articles of Agreement have gone through a series of revisions. However, Article I, which mentions the purposes of the IMF, has not been changed and includes the following objectives:1 1. To promote international monetary cooperation through a permanent institution that provides the machinery for consultation and collaboration on international monetary problems. 2. To facilitate the expansion and balanced growth of international trade and to contribute thereby to the promotion and maintenance of high levels of employment and real income and to the development of the productive resources of all members as primary objectives of economic policy. 3. To promote exchange stability, to maintain orderly exchange arrangements among members, and to avoid competitive exchange depreciation. 4. To assist in the establishment of a multilateral system of payments in respect to current transactions between members and in the elimination of foreign exchange restrictions, which hamper the growth of world trade. 5. To give confdence to members by making the general resources of the fund temporarily available to them under adequate safeguards, thus providing them with opportunity to correct maladjustments in their balance of payments without their resorting to measures destructive to national or international prosperity. 6. In accordance with the foregoing objectives, to shorten the duration and lessen the degree of disequilibrium in members’ international balances of payments. FIGURE 7.1 Representation of Article 1 of the IMF (I) To promote internaonal monetary cooperaon through a permanent instuon which provides the machinery for consultaon and collaboraon on internaonal monetary problems. (II) To facilitate the expansion and balanced growth of internaonal trade, and to contribute thereby to the promoon and maintenance of high levels of employment and real income and to the development of the producve resources of all members as primary objecves of economic policy. (III)To promote exchange stability, to maintain orderly exchange arrangements among members, and to avoid compeve exchange depreciaon. (IV) To assist in the establishment of a mullateral system of payments in respect of current transacons between members and in the eliminaon of foreign exchange restricons, which hamper the growth of world trade. (V) To give confdence to members by making the general resources of the Fund temporarily available to them under adequate safeguards, thus providing them with opportunity to correct maladjustments in their balance of payments without resorng to measures destrucve of naonal or internaonal prosperity. (VI) In accordance with the above, to shorten the duraon and lessen the degree of disequilibrium in the internaonal balances of payments of members. Source: Authors’ construction Chapter 7 • Global fnancial architecture 173 The IMF’s role has evolved over time. At the time of its establishment, it focused on ensuring that the fxed exchange rate system introduced by the Bretton Woods system was maintained to facilitate international trade. After the breakdown of the fxed exchange rate regime in the early 1970s, fresh justifcation needed to be made for the continuous existence of the IMF. The IMF metamorphosed into an organization charged with managing BOP problems and global fnancial crises. It contributes to improving the economies of member countries through such activities as surveying, gathering statistics and analysis, surveilling members’ economic and fnancial performance, and demanding particular policies. The IMF’s surveillance entails overseeing the global monetary and fnancial system and monitoring the economic and fnancial policies of the member countries. It also focuses on providing technical assistance and training for countries, upon request. The IMF also serves as a ‘lender of last resort’ when a borrowing country has exhausted all other funding sources. The assistance given by the IMF usually proceeds in stages. There is an initial stopgap loan with strict rules, infamously known as an IMF conditionalities After that, consultations decide on what fscal and monetary policies the country must follow. The IMF usually advocates for the removal of state subsidies, the privatisation of state industries, the liberalisation of trade and foreign investment policies, reforms in the banking sector, and reforms in the tax laws of the country. In its assessment, the IMF notes the country’s trade balance, current account balance, real domestic demand, consumer price levels, and real GNP or GDP. For instance, as discussed in some detail in Box 7.1, Ghana entered into an IMF programme involving a three-year USD918 million extended credit facility (ECF) from the IMF in April 2015. BOX 7.1 IMF three-year extended credit facility to Ghana In April 2015, Ghana received approval from the IMF for a three-year USD918 million extended credit facility (ECF) to support a reform programme with the aim of restoring Ghana’s debt sustainability and macroeconomic stability, in order to promote faster growth and job creation and at the same time to protect social spending. Before signing up to the IMF programme, the government of Ghana had, since 2013, pursued a fscal consolidation drive but experienced several imbalances in fscal and external positions, resulting in consistent declines in growth. The IMF programme was needed to stabilise the economy following the worsening growth and developmental challenges. On the basis of the agreement reached with the IMF, Ghana’s economy was expected to receive the credit facility, to be disbursed in eight tranches. To begin with, the IMF’s executive board approved the disbursement of the frst tranche of about USD114.8 million. To achieve fscal consolidation that could promote high growth and development, the IMF recommended strictly containing 174 Joshua Yindenaba Abor et al. expenditure on wage bills and subsidies. The government needed to mobilise more revenue in order to create additional social spending space and investment in infrastructure (particularly in the energy sector). It also needed to adopt a prudent borrowing strategy to ensure that debt is secured at the lowest possible cost. On the basis of the third review of the programme, the executive board approved USD116.2 million, which brought the total disbursement under the programme to USD464.6 million. In the course of the review, adjustments were made to the programme to ensure that the economy would stay on track and to enhance its prospects for success. This involved the executive board’s granting waivers, including minor deviations in a few programme targets. The IMF’s assessment of Ghana’s implementation of the ECF remained broadly satisfactory, but the economic outlook remained discouraging. Progress had been made in stabilising the macroeconomic situation and reducing fnancial imbalances, but the fscal risks had increased. The IMF again approved a further disbursement of USD94.2 million after the fourth review, bringing the total disbursements under the programme to USD565.2 million, and the rest of the funds were tied to the remaining reviews. The executive board also approved the country’s request to waivers of the nonobservance of performance criteria and a further extension of the programme by another year, ending in 2018. The IMF commended the new government for bringing the programme back on track after the large fscal slippages in 2016. The executive board, however, observed that the country was experiencing long-standing challenges, including exposure to external shocks, budget rigidities, and economic ineffciencies, which intensifed the impact of past policy slippages on domestic and external imbalances. The board stressed that strong implementation of programme policies and reforms are crucial to addressing the risks and securing macroeconomic stability. The board also cautioned the country regarding programme implementation risks, given that it underperformed in its revenue generation in the frst half of the year, and urged the authorities to promptly adopt the necessary corrective measures to preserve the programme targets. Source: www.imf.org/en/news 2015–2017 7.2.1.2 WORLD BANK The World Bank (originally consisting of only the IBRD), was also created at the 1944 Bretton Woods Conference and then became functional in 1946. It is headquartered in Washington, DC, and was created with the goal of reducing poverty and providing loans to countries for capital programmes. According to its Articles of Agreement, all decisions of the World Bank need to be guided by a commitment to promote foreign investment and international trade and need to facilitate capital investment. Chapter 7 • Global fnancial architecture 175 The World Bank is currently made up of two institutions: the IBRD and the International Development Association (IDA), which is the concessionary arm of the Bank. The IBRD and the IDA are collectively referred to as the World Bank because they have the same leadership and staff. The World Bank is also part of the World Bank Group, a constituent of the United Nations system. However, unlike the UN General Assembly, which operates a one member, one vote system, the Bretton Woods institutions are designed as private entities, and the proportion of ‘shares’ that each member country holds translates into voting rights. When the World Bank was set up, the US received 35.07% of the voting rights while the UK had 14.52% (the two countries controlled about 50% of the voting rights in the World Bank). As the number of shareholders increased, a dilution of the voting power among the founding members ensued. However, due to the high majority required for decisions to be passed (initially 80% but now 85%), the US still has veto power and thus a frm grip on World Bank policy. Traditionally, the US nominates the president of the World Bank. The World Bank Group is governed by the boards of governors and is composed of one governor and one alternate governor representing each member country. The boards of governors, which has been vested with all powers, also delegates such powers to the boards of directors or executive directors apart from those stated in the Articles of Agreement. The president of the group chairs the boards of directors, which currently consists of 25 executive directors. The president of the World Bank is also the president of the World Bank Group, who chairs the board of directors. The president is assisted by two executive vice-presidents, three senior vice-presidents, and 24 vice-presidents. The bank’s role has also evolved over time. From its initial aim to reconstruct Western Europe, it shifted its focus to guaranteeing bond issues from developing countries. Doing so with the aim of again facilitating private capital fows from advanced economies to developing ones, which dipped signifcantly during the Great Depression and were eliminated during the Second World War. However, it became apparent that the private sector was not interested in such investments, and in 1947, the bank decided to change its focus to providing direct loans (Culpeper, 1997). This necessitated the establishment of the International Finance Corporation (IFC) in 1956, with the mandate of lending to the private sector in developing countries without government guarantees, thus complementing the World Bank’s lending efforts to governments. The revision of IFC’s Charter in 1961 also permitted it to provide equity capital in addition to other reforms in its structure and operations. We provide some detail of the IFC in Box 7.2. BOX 7.2 International Finance Corporation The IFC was established in 1956 to represent the World Bank Group’s private sector arm with the objective of advancing economic 176 Joshua Yindenaba Abor et al. development through investment in commercially viable projects and ventures in order to reduce poverty and promote development. It aims to create an enabling environment for people to fee poverty by providing resources for private businesses. It’s headquartered in Washington, DC, and is considered the largest global development fnance institution with a focus on providing support for private sectors in developing economies. The IFC provides three main services: investment services, asset management services, and advisory services. The idea of establishing the IFC was proposed by Robert L. Garner when the World Bank employed him in 1947 as a senior executive. He believed that private business had a signifcant role to play in global development. Robert L. Garner and some of his colleagues in 1950 mooted the idea of creating a new fnancial institution that would focus on promoting private sector investments in the developing countries that the World Bank served. The US government supported this idea of a new international institution to work closely with the World Bank to support investments in private enterprises without demanding government guarantees, without direct participating in the management of these enterprises, and by collaborating with other investors. In 1956, the IFC was offcially established and began operations with Robert L. Garner as its frst leader. It made its frst investment in 1957 by advancing a loan facility of USD2 million to an affliate of Siemens & Haiske (Siemens AG), based in Brazil. It has subsequently increased its investments in many developing and emerging countries. The IFC has 184 member countries as its owners and is governed by a board of governors, composed of one governor from member country. Each member country is also expected to appoint one alternate governor in addition to the governor. The board of governors is vested with all corporate powers, which in turn has delegated most of such powers to a 25-member board of directors chaired by the president of the World Bank Group. The board of directors is responsible for reviewing and making decisions on investments and providing overall strategic direction to IFC’s executive leadership, made up of the CEO of the IFC, the CEO of the Asset Management Company, and nine vice-presidents. The IFC’s core areas of operation include providing investment services (consisting of equity, investment loans, syndicated loans, trade fnance, structured and securitised fnance, treasury and liquidity management, and client risk management services), advisory services (supporting corporate decision-making with regard to business, environment, social impact, and sustainability), and asset management, which is done through its wholly owned subsidiary, IFC Asset Management Company. Since 2009, it has focused on some developmental projects that aim to improve education and health, increase sustainability in agriculture, increase access to fnancing for micro and Chapter 7 • Global fnancial architecture 177 small enterprises, help small businesses to grow revenues, invest in climate health, and support infrastructure development. The IFC has, however, come under criticism from the NGO society for being unable to track its funds, because it invests through fnancial intermediaries. For instance, OXFAM (2015) reported that the IFC was not carrying out its necessary due diligence and was not ensuring proper risk management in the fnancial intermediaries that it has investments in. The report indicated that the IFC has little accountability for investments worth billions of US dollars into banks, hedge funds, and other fnancial intermediaries and that this has resulted in projects that are causing human rights abuses across the world. Another area of concern is that the IFC seems to focus mainly on large companies or wealthy individuals who are in the position to fnance their own investments and may not require external funding. Therefore, investing in such large companies or wealthy individuals presupposes that IFC investments have not had signifcantly positive development impacts. One example frequently cited is the fnancing provided by the IFC to the Saudi Prince for the construction of the fvestar Mövenpick Hotel in Ghana (see Einhorn, 2013). The World Bank is a triple-A credit-rating institution; this enables it to borrow at cheaper rates from the international capital markets, but its ‘hard’ loans to governments are generally given at commercial terms. However, many of the poorest countries could not service and repay the loans on commercial terms. These countries were therefore not eligible for the World Bank support under those loan conditions. Subsequently, the World Bank established the IDA in 1960, to provide ‘soft’ lending, including grants and concessionary loans with long maturities, to these poor countries. IDA obtains its funds for soft lending from donors. The World Bank also introduced the structural adjustment programmes (SAPs) in 1980, enabling it to have considerable infuence over the internal politics and policies of borrowing countries. The SAP was a key requirement for qualifying for fnancial support from the World Bank. Developing countries were required to subscribe to an agreed package of structural reforms and the regular support was contingent on borrowing countries’ satisfying these requirements. The SAPs were implemented in quite a number of African countries, and the effect of these programmes on Africa remains an issue of debate in the extant literature. Some empirical works have suggested that, with the exception of Uganda and Ghana, the SAPs have had insignifcant impacts on the growth of African economies (see Mosley, Harrigan, & Toye, 1995; Easterly, 2000; Klasen, 2003). Other studies have also indicated that the SAPs have enhanced growth and poverty reduction in some African countries – especially those that had successfully implemented the programmes (see World Bank, 1994, 2000; Christiaensen, Demery, & Paternostro, 2001). We discuss some lessons on the implementation of the SAP in Uganda in Box 7.3. 178 Joshua Yindenaba Abor et al. The SAP took various forms over the years, focused mainly on issues of poverty and human development. The Bretton Woods institutions were criticised for imposing these policies with no inputs from the borrowing countries. In recent times, however, much emphasis is being laid on the need for countries to own these reform programmes. Borrowing countries are now expected to draw up their own programmes with much consultation from various organisations, including civil society organisations (CSOs). This approach is used to give credence and to ensure that governments abide by their own reform programmes. BOX 7.3 Structural adjustment in Uganda Background When Uganda gained independence in 1962, its economy was considered one of the most promising economies in sub-Saharan Africa. Its agricultural exports including coffee and cotton; it as a mining sector and a transportation system; and its developing local industries were in good shape and performing well. However, political instability and economic sanctions on the Baganda in the late 1960s caused the economy to start declining. Consequently, Idi Amin toppled the government of Milton Obote in a coup d’état in 1971. During the reign of Idi Amin (1971–1979), the Ugandan economy was characterised by a three-month economic war against Asians in 1972, leading to losses in its skilled workforce, fscal defcits averaging USh14.4 million per annum, rising infation, an 8.5% decline in exports, and cutbacks in donor support, resulting from sanctions. These led to, among others, balance of payment problems and a decline in economic growth from 5.2% in the 1960–1970 period to 1.6% in the 1970–1980 period. Idi Amin was overthrown in April 1979, and Milton Obote took over as president for the second time a year later, a time when the war pushed the Ugandan economy into crisis and damaged infrastructure. Due to these conditions, the Obote-led government resorted to an economic recovery programme in 1981. Structural Adjustment Programme (1981–1984) Under this programme, an IMF/World Bank economic reform package was introduced in 1981. The goals of the programme were to stimulate economic growth, control infation, restructure credit, reduce the defcit, stimulate exports, and improve the balance of payments position. The programme was able to achieve most of its goals. The government increased the producer prices of major export commodities to boost exports. For instance, the price of robusta coffee rose to USh130.8 per kilo in 1984, up from USh35 per kilo in 1981. During the 1980–1984 period, coffee exports increased by 21% and cotton exports spiralled by 191%, contributing to a 23% increase in export revenue. Infation fell from 111% in 1981 to 25% in 1983. The budget defcit also reduced Chapter 7 • Global fnancial architecture 179 from 2.8% of GDP to 0.6% of GDP over the same period, and the Ugandan shilling was devalued signifcantly. GDP grew by 7.2% in 1982 and 5.4% in 1983. However, total external debt rose from USD728.9 million in 1981 to USD1.065 billion in 1984. Similarly, debt servicing as a percentage of exports increased from 39.8% to 40.6%. This indicated the deteriorating position of some economic indicators at the time, which violated the programme’s conditionality. These violations, coupled with the poor management of the auction system of the Ugandan shilling, the abolition of import rationing, the absence of skilled personnel to run the programme, worsening standards of living and other challenges, led to the collapse of the programme in 1984. Amid these conditions, the second Obote government was overthrown in a coup d’état in 1984, resulting in another economic crisis and chaos. The economic recovery programme (ERP) of 1987 Shortly after the cancellation of the IMF programme and the coup d’état of 1984, the National Resistance Movement (NRM) assumed power and formed a new government. At that time, public infrastructure was in a deplorable state, black marketeering boomed, productivity fell, corruption was widespread, foreign exchange was hard to fnd, and infation had exceeded 150%. These and other factors made the NRM government turn to the Bretton Woods institutions for fnancial support in 1987, when the East African country ran out of foreign exchange but did not have the creditworthiness to borrow from the global fnancial market. The new policy package was put in an ERP and introduced in May 1987. It aimed to restore fscal discipline and monetary stability and rehabilitate infrastructure. Many measures were implemented to achieve these aims. Specifcally, subsidies to ineffcient public entities were reduced drastically, university professors received special allowances, a new currency conversion rate of 1 to 100 was introduced, interest rates were reduced, the Ugandan shilling was devalued from USh1,400 to USh6,000, and the tax system was reformed. The enhanced structural adjustment facility policy framework, 1998/1999–2000/2001 The government had been implementing macroeconomic adjustment programmes and structural reforms since 1987, mainly to sustain high economic growth, which allowed everyone to participate. During the 1997/1998 period, the government signifcantly cut the size of the public service and reduced the number of ministries from 22 to 17. In 1998, the IMF and IDA agreed that Uganda had fulflled the necessary conditions under the Heavily Indebted Poor Countries (HIPC) Initiative, making Uganda the frst country to complete the processes under the initiative. The government introduced the Poverty Eradication Action Plan (PEAP), a policy that focused on poverty reduction through the 180 Joshua Yindenaba Abor et al. development of physical and human resources. In addition, the public investment programme focused on road transport and infrastructural development. Over that period, economic policy also aimed to achieve trade liberalisation, public enterprise restructuring, privatisation, and pension and tax reform. Measures were put in place to improve revenue mobilisation and ensure fscal sustainability. Moreover, efforts were made to enforce good governance, decentralisation, public service reform, and the rule of law. The recapitalisation of the Bank of Uganda (BOU) was in the last legal stages, and the main objective of monetary policy was low, stable infation. The government also sought to increase exports, diversify the export base, and encourage foreign direct investment to achieve a sustainable balance of payments position. Sources: IMF (1998), Baffoe (2000) We examined how the roles of both the IMF and the World Bank have changed over time. Similar to what we discussed earlier in terms of the evolution of the IMF’s role, the focus of the World Bank has also evolved over time. We mentioned that the IMF’s role originally focused on maintaining a fxed exchange rate system. However, with the collapse of this system and the dynamics in the global economy, including increased fnancial rigidity, the IMF’s attention has expanded to consider much broader issues in carrying out its functions. In a similar fashion, the World Bank’s initial role of ensuring economic growth has expanded to incorporate the objective of achieving poverty alleviation. The attention of the World Bank has shifted to also focus more on social issues as important determinants of achieving growth. Although the World Bank continues to focus on economic issues, it also considers investments in human capital development (i.e. education and health) as important in enhancing growth and alleviating poverty. The expanded roles of both the IMF and the World Bank, aimed at achieving economic stability and poverty alleviation, require some reforms in the economies of borrowing countries. Apart from the World Bank, which comprises of the IBDR and the IDA, the World Bank Group is also made up of other members: the IFC, the Multilateral Guarantee Agency (MIGA), and the International Centre for Settlement of Investment Disputes (ICSID). The IFC was already discussed in greater detail in Box 7.2, and we now provide some brief background on the MIGA and the ICSID. The MIGA provides political risk insurance and guarantees to enable investors to protect their investments against noncommercial risks. The ICSID focuses on the settlement of international investment disputes. Each of these institutions plays various critical roles in achieving the World Bank Group’s mission of ending extreme poverty within a generation and boosting shared prosperity. 7.2.1.3 WORLD TRADE ORGANIZATION (WTO) The WTO is the sole global intergovernmental organisation that operates a system of international trade rules. Its Secretariat is located in Geneva, Switzerland It is a forum Chapter 7 • Global fnancial architecture 181 that enables governments to enter into trade agreement negotiations and settle trade disputes. Its main goal is to increase trade openness for the good of all. It was established on 1 January 1995 under the Marrakesh Agreement of 15 April 1994 and signed by 123 countries. The creation of the WTO replaced the GATT, formed immediately after World War II, which became operational in January 1948. The precursor to the GATT was the International Trade Organization (ITO), though successfully negotiated, never came into being. It was initially intended to be a specialised agency of the UN with the goals of reducing barriers to trade and addressing trade-related issues, such as investment, commodity agreements, restrictive business practices, and employment. However, the US and other signatories did not approve the ITO treaty, so it was not implemented. The single multilateral instrument for governing international trade from 1946 onwards was the GATT. This lasted until 1995, when the WTO was created. Although efforts were made in the mid 1950s and 1960s to establish an institutional mechanism to facilitate international trade, the GATT continued in operation as a provisional semi-institutionalised multilateral treaty regime for almost half a century. The WTO regulates trade among member countries. It provides a set of rules and guidelines that are needed in negotiating trade agreements and in the resolution of disputes. This framework is to ensure that WTO member countries adhere to the WTO agreements, which have been signed by representatives of governments of the member countries and ratifed by their respective parliaments. The Uruguay Round (1986–1994) provides the basis for most of the issues that the WTO seeks to address. Over the past six decades, a strong and vibrant trading system has been created with the help of the WTO. This has undoubtedly led to unprecedented growth in the global economy. As of 2018, the membership of the WTO was 164 countries, of which 117 from the developing world or separate customs regions. The WTO is headed by the director-general with the support of about 700 staff members at the Secretariat. A consensus of the entire membership is required in making decisions for the organisation. The apex institutional body is the Ministerial Conference, whose meetings are held twice a year. The conference brings the entire membership of the WTO together and is empowered to make decisions regarding issues that arise under any of the multilateral trade agreements. The conduct of the business of the WTO is placed in charge of the General Council. All members of the WTO constitute the General Council as well as the Ministerial Conference. Specialised subsidiary bodies (councils, committees, subcommittees), also made up of all member countries, have the responsibility of administering and monitoring the implementation of the various WTO agreements by member countries. The WTO engages in a myriad of activities, including negotiating the reduction or complete elimination of trade obstacles, such as import tariffs. It works on reaching consensus on rules that govern international trade practices, such as antidumping, subsidies, and product standards. The WTO also engages in the administration and monitoring of the implementation of 182 Joshua Yindenaba Abor et al. the agreed rules of the WTO with respect to trade in goods and services as well as trade-related intellectual property rights. Additionally, it monitors and reviews trade policies of member countries while ensuring transparency in the agreements of regional and bilateral trade. The WTO also resolves disputes among member countries in the area of the proper interpretation and application of the agreements. It makes efforts to improve the capabilities of government offcials of developing countries in matters of international trade. The WTO also provides assistance to a number of countries that are yet to become part of the WTO by carrying out economic research and both gathering and disseminating trade-related data. This to provide support to the WTO’s primary activities and educate the public about the organisation’s mission and activities. The guiding principle of the WTO is the pursuit of open borders. In November 2001, the Doha Development Round, which is the current round of negotiations, was launched by the WTO during the fourth Ministerial Conference in Doha, Qatar. The objective of these negotiations was to bring about a more inclusive globalisation process and assist the poor by reducing barriers to trade and farming subsidies in developed countries. The initial agenda comprised both the furtherance of trade liberalisation and the making of new trade rules with the commitment to increase substantial assistance to developing countries. There have been serious contentions in the negotiation processes with strong disagreements over a number of important issues, such as agricultural subsidies. There was a breakdown in the 2008 Ministerial Conference meeting due to a disagreement between countries that export agricultural bulk commodities and those that had a high number of subsistence farmers on the specifc terms of a special protective measure to safeguard farmers from increases in imports. The WTO has, since its establishment, made signifcant strides and can be accredited with some achievements. One is the fact that greater market orientation is now the general rule in international trade. Second, there has been a decline in the use of restrictive measures in addressing BOP problems. Trade in services has also been included in the trade in goods-dominated multilateral system. Subsequently, either unilaterally or through regional or multilateral negotiations, a signifcant number of countries opened their markets to trade and investment. In addition, tariff-based protection has become the general practice instead of the exception in international trade. A process of continually monitoring developments in trade policy has been created by the review of trade policy. Finally, the WTO succeeded in having an agreement with members in reducing industrial goods-based import tariffs, on the basis of a ‘Swiss formula’. A Swiss formula is a nonlinear formula whereby tariffs, which are initially higher, are required to have proportionally higher tariff cuts. For instance, a country that has a product with an initial tariff of 25% should cut the tariffs much more than should a country that has the same product with an initial tariff of 15%. There are, however, several other issues for the WTO. First, the process of trade reforms remains incomplete in a signifcant number of countries. An example is the presence of high tariffs for which there are ongoing Chapter 7 • Global fnancial architecture 183 negotiations at various levels, particularly in the felds of fnancial services and telecommunications. Also, the overall trade liberalisation process seems to have suffered a number of setbacks and retrogressions in a number of developing countries. There are instances of much stronger antidumping measures and selective tariff increases. Third, the WTO has not responded well enough to developing nontariff barriers to imports, including antidumping duties from developing countries. It appears the interests of multinational companies supersede those of local industries and policies even if such actions pose serious health and security risks to the local population. Also, several serious implementation-related concerns require the implementation of measures in relation to asymmetries in trade-related investment measures (TRIMS), trade-related intellectual property rights (TRIPS), antidumping, and the movement of people, among others. The WTO also needs to pay specifc attention to issues related to textiles, agriculture, industrial tariffs (e.g. peak tariffs), and services. Lastly, developing countries are being required to accept trade policies and guidelines favourable to developed countries. This approach is a one-size-fts-all approach posing a signifcant challenge to countries in the developing world. In summary, the WTO has been instrumental in promoting global trade and investment. If member countries commit to addressing the challenges confronting the WTO, the expected benefts in increased trade and investments among member countries would be largely realised. 7.3 THE BANK FOR INTERNATIONAL SETTLEMENTS (BIS) AND THE BASEL COMMITTEE ON BANKING SUPERVISION (BCBS) The Bank for International Settlements (BIS), owned by its 60-member central banks, is an international fnancial institution meant to foster international monetary and fnancial cooperation and serve as a bank for central banks. Its headquarters are in Basel, Switzerland; it also has representative offces in Hong Kong SAR and in Mexico City. Currently, it has 35 member countries in Europe, 13 member countries in Asia, fve members in South America, three in North America, two in Oceania, and two in Africa. The bank is the frst international fnancial institution and was set up in 1930 by an agreement between Germany, Belgium, France, the United Kingdom, Italy, Japan, the United States of America, and Switzerland. Operations started on 17 May 1930. It was initially set up as a clearinghouse for German war reparations imposed by the Treaty of Versailles but evolved into a forum for cooperation and a counterparty for transactions among central banks. The bank works to promote international cooperation among monetary and fnancial authorities. It conducts economic research and analysis on policy issues to inform policymakers, academics, and the general public. It also provides banking services to the central bank community and other international organisations. The BIS carries out its work through meetings, programmes, and the Basel Process – hosting international groups pursuing global fnancial stability and facilitating their interaction. 184 Joshua Yindenaba Abor et al. A number of committees and associations are involved in fnancial stability and have their secretariats at the BIS. These include the Basel Committee of Banking Supervision, the Committee on Payments and Market Infrastructures, the Committee on the Global Financial System, the Markets Committee, the Central Bank Governance Group, and the Irving Fisher Committee on Central Bank Statistics. For these groups, being located in the same place facilitates communication and collaboration. Their location also makes it easy for interactions with policymakers, makes it easier to coordinate efforts, and prevent overlaps and gaps in various work programmes. Some associations also have their secretariats at the BIS but have their own separate legal identity and governance structure and report to their members. These are the Financial Stability Board, the International Association of Deposit Insurers, and the International Association of Insurance Supervisors. The BIS contributes to the international fnancial architecture by promoting reserve transparency in central bank operations and regulating capital adequacy. The Basel Committee on Banking Supervision, which is hosted at the BIS, is in charge of setting capital adequacy requirements. Ensuring capital adequacy is critical for central banks since speculative lending on the basis of inadequate underlying capital and widely varying liability rules can cause economic crises; as Gresham’s law states, ‘bad money drives out good money’. In addition, the Basel Committee on Banking Supervision, which is hosted by the BIS, played an important role in creating the Basel Capital Accords, the Basel II framework, and the Basel III framework. 7.3.1 The Basel Committee on Banking Supervision (BCBS) The Basel Committee on Banking Supervision (BCBS) is the primary global standard setter for the prudential regulation of banks and provides a forum for regular cooperation on banking supervisory matters. Its 45 members comprise central banks and bank supervisors from 28 jurisdictions. The BCBS was set up by the central bank governors of the G10 countries in 1974. It provides a medium for regular cooperation on banking supervisory matters. Its objective is to improve the understanding of important supervisory issues and improve the quality of bank supervision all over the world. The following are some of the frameworks that the committee has created: 1 International standards on capital adequacy. 2 Core principles for effective banking supervision. 3 Concordat on cross-border banking supervision. The committee’s secretariat is situated at the Bank for International Settlements in Basel, Switzerland. However, it has its own governance arrangements, reporting lines, and agenda overseen by the central bank governors of the G10 countries. The BCBS works primarily as an informal medium for developing policy solutions and standards. Along with the International Organisations of Securities Commissions and the International Association of Insurance Supervisors, they form the joint forum of international fnancial Chapter 7 • Global fnancial architecture 185 regulators. It also has subgroups that work on specifc issues: the Standards Implementation Group (SIG), the Policy Development Group (PDG), the Accounting Task Force (ATF), and the Basel Consultative Group (BCG). The committee agrees on nonbinding principles for bank capital, liquidity, and funding. Member countries are expected to create opportunities for implementation, such as by enacting relevant domestic regulation. 7.4 OTHER GLOBAL DEVELOPMENT FINANCE INSTITUTIONS Other global development fnance institutions are made up of multilateral development banks (MDBs), multilateral fnancial institutions (MFIs), and regional development banks. 7.4.1 Multilateral Development Banks (MDBs) and Multilateral Financial Institutions (MFIs) MDBs are fnancial institutions that are established by various countries in order to support development activities through long-term loans and grants. They mostly provide lending at low or no interest and sometimes grants to fnance projects in areas that promote development. In more specifc terms, the fnancing provided by MDBs takes the following forms: 1 Long-term loans usually have up to 20 years’ maturity, and their interest rates are based on market rates. MDBs typically acquire funds from the global capital markets and in turn on-lend them to developing countries’ governments. 2 Very-long-term loans are also termed ‘credits’, and they usually have maturity between 30 and 40 years with interest rates pegged below market interest rates. Funding for such loans are from direct contributions made by the governments of donor countries. 3 Grant fnancing is typically for technical assistance, advisory services, and project preparation. MDBs have huge memberships, which contain both developed countries (which serve as donors) and developing countries (which are the borrowers). They are global in their scope, and examples include European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB), Inter-American Bank Group (IDB, IADB), Development Bank of Latin America (CAF), Asian Development Bank (ADB), African Development Bank (AfDB), Islamic Development Bank (IsDB), Asian Infrastructure Investment Bank (AIIB), and International Fund for Agricultural Development (IFAD). There are also subregional MDBs with membership comprising only borrowing countries. MDBs tend to raise fnance from the global capital markets at lower costs and on-lend to their members. Examples include the Central American Bank for Economic Integration (CABEI), Caribbean Development Bank (CDB), Black Sea Trade and Development Bank (BSTDB), Development Bank of Southern Africa (DBSA), West African Development 186 Joshua Yindenaba Abor et al. Bank (BOAD), East African Development Bank (EADB), Eurasian Development Bank (EDB), Economic Cooperation Organisation Trade and Development Bank (ETDB), and New Development Bank (NDB) (formerly BRICS Development Bank). MDBs are generally similar to MFIs except that MFIs have morelimited memberships and mostly concentrate on fnancing specifc activities. Some examples are the International Fund for Agricultural Development (IFAD), International Investment Bank (IIB), International Finance Facility for Immunisation (IFFI), European Commission (EC), OPEC Fund for International Development (OFID), Nordic Investment Bank (NIB), and Arab Bank for Bank for Economic Development in Africa (BADEA). 7.4.2 Regional development banks Regional development banks (RDBs) are regional DFIs that focus on fnancing development activities in particular geographical areas. They are also regarded as part of MDBs and MFIs, but they operate in specifc regions of the world. The shareholders of these institutions are mainly the regional countries and other major donor countries. RDBs are considered ‘clones’ of the World Bank in terms of their structure, functions, and operations, but they tend to have a specifc focus. The main regional development banks are the Inter-American Development Bank (IDB), African Development Bank (AfDB), Asian Development Bank (ADB), Central American Bank for Economic Integration, and the European Bank for Reconstruction and Development (EBRD). Other regional development banks include the Central American Bank for Economic Integration, Islamic Development Bank (CABEI), Islamic Development Bank (IsDB), Development Bank for Latin America (CAF), Council of Europe Development Bank (CEB), West African Development Bank (BOAD), East African Development Bank (EADB), and Development Bank of Central African States. Among the fve main RDBs, the IDB for Latin America was the frst to be established in 1959. This was followed by the setting up of the Central American Bank for Economic Integration in 1960, the African Development Bank in 1964, the Asian Development Bank in 1966, and then the European Bank for Reconstruction and Development in 1991. As mentioned earlier, the RDBs have similar structures and functions to those of the World Bank, though they are different in some other respects. For instance, both the RDBs and the World Bank have ‘hard’ and ‘soft’ lending facilities, where the terms under the hard lending facility are similar in all the institutions and the soft lending is funded directly by donors. As mentioned earlier, the World Bank’s soft lending is provided through the IDA. Soft lending programmes by IDB, AfDB, and ADB, for instance, are conducted through the Fund for Special Operation (FSO), African Development Fund (ADF), and Asian Development Fund (AsDF) respectively. Hard lending takes the form of loans on market-based terms, while soft lending takes the form of grants and concessional loans, which are associated with longer repayment periods and lower interest rates. Most loans typically have a maturity of between 25 and 40 years. In terms of their governance Chapter 7 • Global fnancial architecture 187 structure, both the World Bank and the RDBs are governed by boards of governors, of which every member country is supposed to have a representation of one governor and one alternate governor. The boards of governors, which are the highest authority of the institutions, in turn appoint and delegate the exercise of most of their powers to the boards of directors, which provide general direction to the entities. One major challenge faced by regional development banks is that donor governments prefer to channel resources through the World Bank rather than through the regional development banks. This also means that borrowing countries tend to place more importance on their relationship with the World Bank than with their specifc RDBs. We next provide an overview of the main RDBs in Table 7.1. TABLE 7.1 Overview of RDBs Regional development Area banks Year Headquarters founded Inter-American Development Bank (IDB) Latin American, Caribbean 1959 Central American Bank for Economic Integration (CABEI) African Development Bank (AfDB) Central America 1960 Africa 1964 Asian Development Asia and Pacifc Bank (ADB) region 1966 1991 European Bank for Central and Eastern Reconstruction Europe and and Development Central Asia (EBRD) Main goal Promoting poverty reduction, social equity, environmentally sustainable economic growth Promoting Tegucigalpa integration and (Honduras) development San Salvador among its (El Salvador) member countries Abidjan (Côte Spurring sustainable economic D’Ivoire) development and social progress in its regional member countries (RMCs), thus contributing to poverty reduction Fostering economic Manila growth and (Philippines) cooperation in the region London, United Promoting transition to Kingdom market-oriented economies in the Central and Eastern European and Central Asian countries. Washington, DC (USA) 188 Joshua Yindenaba Abor et al. 7.4.2.1 INTER-AMERICAN DEVELOPMENT BANK The IDB, which was created in 1959, has its headquarters in Washington, DC. It is the oldest RDB to be established, and it represents the largest source of multilateral development fnancing for supporting socioeconomic development, institutional development projects, trade, and regional integration programmes in Latin America and the Caribbean. The IDB has 48 countries as its owners, which are made up of 26 Latin American and Caribbean states, 16 European countries, the US, Canada, Israel, China, Japan, and Korea. The 26 Latin American and Caribbean states are the borrowing member countries that regularly acquire loans from IDB, and the others constitute nonborrowing member countries. The idea of creating a DFI for the Latin American region was initially proposed during the earliest efforts to establish an inter-American system at the First American Conference in 1890. The IDB came into fruition under an initiative, which was proposed by the then president of Brazil, Juscelino Kubitshek. The IDB was offcially set up on 8 April 1959, the Organisation of American States drafting the Articles of Agreement to establish the bank. The main goals of the IDB involve promoting poverty reduction, social equity, and environmentally sustainable economic growth. It focuses on the following priority areas in the attainment of these goals: • Fostering competitiveness by supporting policies and programmes that enhance a country’s potential for development in the global marketplace. • Modernising the state by enhancing the level of effciency and transparency in public sector institutions. • Investing in social programmes that are capable of expanding opportunities for the poor. • Promoting regional economic integration by fostering relations among countries in order to develop bigger markets for their commodities. It also helps regional initiative efforts by providing information and knowledge to aid policy discourse and funding for technical cooperation in order to strengthen regional integration. It supports governments with technical assistance on issues regarding trade and regional integration and also undertakes public outreach programmes and activities targeted at promoting such integration. IDB uses its FSO to provide concessional lending. The Central American Bank for Economic Integration (CABEI) is an RDB founded in 1960 to promote integration and development among its member countries. It currently has two headquarters, one located in Tegucigalpa (Honduras) and the other in San Salvador (El Salvador), in addition to national offces in each Central American country. Its membership is as follows: 7.4.2.2 CENTRAL AMERICAN BANK FOR ECONOMIC INTEGRATION • Its fve founding countries are made up of Costa Rica, El Salvador, Guatemala, Honduras, and Nicaragua. These were the countries that signed the Founding Covenant establishing the CABEI. • It has two non-founding regional countries – Dominican Republic and Panama. • Its fve nonregional countries are made up of Argentina, Colombia, Mexico, Spain, and Taiwan. They joined the CABEI to have a Chapter 7 • Global fnancial architecture 189 permanent regional presence, thereby enhancing their global projection by supporting development in the founding countries. • It also has benefciary countries; in addition to regional countries, Belize joined the CABEI to acquire loans and guarantees. However, unlike the other member countries, Belize does not hold any shares of CABEI. Argentina and Colombia also beneft from receiving loans and guarantees from CABEI. The process of Central American regional economic integration began on 13 December 1960 with the signing of the General Treaty on Central America Economic Integration. The signing of the treaty then resulted in the establishment of the CABEI, which has become the fnancial arm for the integration and development of Central America. As a regional DFI, CABEI provides support for the public and private sectors of the economy. It focuses on acquiring funds and channelling these into promoting investments in its cores areas, including energy, infrastructure, industry, agricultural and rural development, human development, urban development and services for competitiveness, and fnancial trading and development fnance. 7.4.2.3 AFRICAN DEVELOPMENT BANK The AfDB, or Banque Africaine de Development (BAD), was founded in 1964, headquartered in Abidjan, Côte d’Ivoire (but in 2003, the headquarters temporarily moved to Tunis, Tunisia, because of the Ivorian war and then returned in September 2014). Its owners are made up of 81 member countries (shareholders), comprising 54 African countries and 27 non-African countries. Two other entities are under the African Development Bank Group: the African Development Fund and the Nigeria Trust Fund. The growing desire for more unity in the continent, after the colonial period in Africa, resulted in the creation of two draft charters, for establishing the Organisation of African Unity (founded in 1963 and replaced later by the African Union) and an RDB. An agreement for establishing the AfDB was prepared in 1963, and this materialised on 10 September 1964. The Bank was formally established under the auspices of the Economic Commission for Africa but started its operations in 1966. Although the bank initially had only African countries as members, a number of non-African countries have been allowed to join since 1982. The overall objective of the AfDB Group is to spur sustainable economic development and social progress in its regional member countries (RMCs), thus contributing to poverty reduction. The AfDB Group focuses on mobilising resources and allocating them for investments in the RMCs. It also provides policy advice and technical assistance to support the development efforts of the RMCs. It serves the following primary functions: • Making loans and equity investments for the economic and social advancement of the RMCs. • Providing technical assistance for the development projects and programmes of the RMCs. • Promoting the investment of public and private capital for development. • Assisting in organising the development policies of RMCs. 190 Joshua Yindenaba Abor et al. The AfDB is also expected to pay particular attention to national and multinational projects that are required to promote and facilitate regional integration. Its main sources of fnancing include subscribed capital, reserves, borrowed funds, and accumulated net income. Its shareholding is structured in such a way that the two-thirds of the total capital is held by the RMCs, while one-third is held by nonregional members. AfDB is also a triple-A-rated institution, allowing it to borrow from the international capital markets on favourable terms. It provides fnance to governments of African countries and private companies that invest in the RMCs. AfDB lends on a nonconcessional basis at market interest rates. It also provides development fnance on concessional terms through the African Development Fund to its lowincome member countries that do not qualify to obtain loans on nonconcessional terms. Funds for concessionary loans are typically obtained from the 27 nonregional members, which come in the form of grant contributions. 7.4.2.4 ASIAN DEVELOPMENT BANK The ADB was founded in 1966 with its headquarters based in Manila, the capital of the Philippines. With initial membership of 31 countries at its establishment, ADB is currently owned by 67 member countries, which are made up of 48 countries in the Asian and the Pacifc regions and 19 from other parts of the world. The idea for establishing the ABD was considered at the beginning of the 1960s. The proposal was to establish a fnancial institution that was Asian in nature to focus on fostering economic growth and cooperation in the region. In 1963, a resolution was subsequently passed to provide clear direction for establishing the Bank United. This was done at the frst Ministerial Conference on Asian Economic Cooperation, which was held by the United Nations Economic Commission for Asia and the Far East. The bank was eventually set up on 19 December 1966. The ADB served a predominantly agricultural region by providing assistance mainly in the areas of food production and rural development during the 1960s. ADB focuses on promoting social and economic development in Asia and the Pacifc through inclusive growth, environmentally sustainable growth, and regional integration. It is concerned with helping its member countries, specifcally the developing countries, to pursue poverty reduction and improvement in the quality of life of citizens through equity investments, loans, guarantees, grants, technical assistance, and policy dialogue. Its core areas of interest include infrastructure (energy, ICT, transport, water, and urban development), environment, regional cooperation and integration, fnancial sector development, education, health, agriculture and natural resources, and public sector management. Its main sources of fnance include bond issues, recycled repayments on its loans, and member countries’ contributions. A signifcant percentage of the cumulative lending it gives is from its ordinary capital. The concessional lending it provides to its developing member countries is done through the African Development Fund. It also manages a number of trust funds and assists in channelling grants from bilateral donor partners to the recipient countries. 7.4.2.5 EUROPEAN BANK FOR RECONSTRUCTION AND DEVELOPMENT The EBRD is the youngest among the fve main RDBs and was established in 1991 with its headquarters in London. The EBRD was established to Chapter 7 • Global fnancial architecture 191 promote a transition to market-oriented economies in the Central and Eastern Europe and Central Asia countries. Its owners are made up of 65 countries and two intergovernmental institutions – the European Union and the European Investment Bank. The EBRD was founded during the period of the dissolution of the Soviet Union and communism in Central and Eastern Europe, and these countries required support to develop a new private sector. The bank was set up after reaching agreements regarding its charter, size, and the share of power among the shareholders. The EBRD is also a triple-A-rated institution, which allows it to borrow from international capital markets at favourable market rates. In spite of its public sector shareholders, the EBRB focuses its investments largely on private enterprises in collaboration with commercial entities. It is committed to developing democracies and building market economies in some Central European and Central Asian countries through its investments. The EBRD provides loans and equity fnance, trade fnance, project fnance, leasing facilities, guarantees, and professional development through its support programmes. The EBRD also supports publicly owned companies in their privatisation efforts and is committed to promoting environmentally sound and sustainable development. Importantly, apart from the multilateral and regional DFIs, bilateral DFIs are also established typically by developed countries to fnance development projects in developing and emerging counties. In Chapter 1, we identifed examples of bilateral DFIs that operate worldwide, targeting developing and emerging markets to include AFD/Proparco (France), Belgian Investment Company for Developing Countries (BIO), BMI-SBI (Belgium), CDC Group (UK), CDP/SIMEST (Italy), COFIDES (Spain), Finnfund (Finland), German Investment and Development Company (DEG), IFU (Denmark), Netherlands Development Finance Company (FMO), Norfund (Norway), OeEB (Austria), Overseas Private Investment Corporation (OPIC) in the US, SOFID (Portugal), Swedfund (Sweden), and Swiss Investment Fund for Emerging Markets (SIFEM). 7.5 FINANCIAL GLOBALISATION AND GLOBAL CRISIS Before discussing fnancial globalisation and the global fnancial crisis, we frst look at the dynamics of fnancial globalisation and the general benefts and risks with respect to fnancial globalisation. 7.5.1 The dynamics of fnancial globalisation Financial globalisation (FG), viewed as the totality of all global linkages through cross-border capital fows, has become an increasingly important aspect for emerging economies as they integrate with more-developed economies. FG is seen as the net fnancial fows measured as the aggregate of foreign assets and foreign liabilities to GDP ratio (Lane & Milesi-Ferretti, 2007). FG is relevant to an emerging economy for a number of reasons: • The changing composition of the national balance sheets, whereby the foreign fnancial assets either exceed or fall below the foreign fnancial liabilities. 192 Joshua Yindenaba Abor et al. • The role of FG in the transmission of shocks caused by global fnancial crises. • The contribution of FG to the economic development of a nation. • International risk management (through sharing) and smoothing business cycles. • The overall implication of FG effects on the macroeconomic and prudential policies at national, regional, and global levels. Yeyati and Williams (2014) argue that despite the common notion that fnancial globalisation (also referred to as the IFI ratio) has been increasing in emerging economies since the mid 1980s with an acceleration in the 2000s, there has only been a marginal growth, and international portfolio diversifcation has been limited and on the decline over time. Using an FG proxy controlled for fnancial market deepening and relative price effects, Yeyati and Williams revealed a more stable FG pattern during the 2000s. Lund et al. (2017) fnd that developing countries are becoming more and more fnancially globalised and that the share of foreign assets of developing countries rose from 8% to 14% in the last decade. Cross-border capital fows have dropped by 65% since the global fnancial crisis (GFC). This is potentially because global banks took strict measures such as retrenchment. The decline could also be due to the stability of the FG, which seems to be emerging over time (Lund et al., 2017). An interesting observation is that despite the retrenchment by global banks and a cut in diaspora remittances, FG still continues. During the period 2006–2007, FG seemed to be strong and was creating more robust fnancial linkages across the globe. Advanced economies benefted more from this, while emerging economies adopted a more cautious approach. This disparity in the experiences of FG by both advanced and emerging economies would later be tested by the GFC, which was sparked in 2008 and which highlighted the properties of FG in a real setting. In 2007, the global inventory of foreign investments stood at USD103 trillion, which had increased to USD132 trillion by 2016. There is also evidence of vibrancy in the fnancial and capital markets globally, with 31% of the bonds owned by foreign investors, up from 18% in 2000. There is a notable increase in China’s total stock of foreign bank lending, FDI, and portfolio equity and bond investments. Although FG is expected to affect asset prices, the economic performance of any nation depends on the actual intensity and sensitivity of cross-border capital fows despite existing controls and restrictions. Many closely regulated economies act as important recipients and sources of foreign capital fows. They are therefore more fnancially globalised and are even more exposed to any global fnancial crisis that may hit them. However, liberal economies are regarded as risky by international investors, who tend to avoid them. These economies become locked out of the global market swings and trends. This explains the mixed effect of the 2008 GFC on various economies: some are most affected (e.g. the US, Venezuela, Iceland) and others are least affected (e.g. the United Arab Emirates, Armenia, Morocco). Chapter 7 • Global fnancial architecture 193 7.5.2 The benefts and risks of fnancial globalisation The new dispensation of FG presents interesting challenges and opportunities. FG is benefcial for an emerging economy. However, it can also be costly for emerging economies. First, FG is responsible for the fnancial deepening of local markets by way of availing credit to the private sector and equity. FG can also help in risk sharing by countries in the long term. FG can serve as a useful tool in international risk sharing as a way of hedging consumption against local income shocks emanating from a specifc nation. Some of the positives of the new era of FG include the following: • There is a remarkable increase in FDI and equity fows, which command a higher share of gross annual fnancial fows than they did during the precrisis period. • Global current, fnancial, and capital account imbalances have reduced signifcantly from 2.5% of world GDP in 2007 to 1.7% in 2016. This means the global fnancial system is less vulnerable to shocks, which led to the GFC of 2008. This, coupled with the dramatic reduction in the huge US defcit and Chinese surplus, has contributed to a reduction of the potential impact that a small spark can have in the global fnancial space. • Financial institutions across the world have improved cushions to offset future losses. Most banks now have stronger risk management systems. Despite the benefts that FG presents in the postcrisis period, there are risks that come with it. Some of the risks presented by the new dispensation of FG: • The volatility of gross foreign capital fows increased. According to Lund et al. (2017), over 60% of the countries experience a huge decline, surge, recovery, or reversal of lending yearly. This has led to volatility in exchange rates and has led to diffculties in managing macroeconomic fundamentals. • A potential bubble in equity market valuations may emerge. This is due to the increased valuations on equity markets in some markets. • Financial contagion risk is now becoming immanent because more and more countries are participating in the global fnancial architecture. The risk may be more prevalent in developing and emerging economies, which are characterised by insuffcient transparency and liquidity in their fnancial markets. The response to the new dynamics in FG can be met by embracing technologies in banking to increase effciency, improve customer experience, and innovate. The use of big data analytics and machine learning algorithms may help in understanding the risks much better in an international market context. Domestic banks must also remain alert to being de-risked in the wake of closer scrutiny and transparency requirements in the global fnancial services space. This also translates into looking again into the international 194 Joshua Yindenaba Abor et al. FIGURE 7.2 Benefts and risks of fnancial globalisation Benefits of Financial Globalisation • Increase in FDI and equity flows • Global current, financial and capital account imbalances have reduced • Financial institutions globally have improved cushions to offset future losses. Risks of Financial Globalisation • Increased volatility of gross foreign capital flows • A potential bubble in equity market valuations may emerge. • Financial contagion risk is now becoming immanent Source: Authors’ construction strategies adopted by the banks that should foster long-term sustainability. Regulators are also expected to build systemic risk-monitoring capabilities with real-time react capabilities to any economic shocks originating from inside or outside the nation’s borders. Innovative tools for managing capital market volatility and reducing the imbalance between capital and fnancial accounts need to be devised. 7.5.3 Financial globalisation and the global fnancial crisis The question whether fnancial globalisation materially contributed to the GFC remains debatable. Did the rise in cross-border capital fows exacerbate the GFC? What role did FG play in the aftermath of the crisis? When the global fnancial crisis happened, it was a litmus test for the fnancial globalisation model. Since fnancial globalisation operates through a determination of asset prices and responsiveness of funds fows to shocks, any foreign capital fows may be affected by any shocks in the market. Arguably, the participation of foreign investors, mainly foreign banks, fuelled the crisis. This was more so with the growth of asset-backed securities markets in the US, which were pivotal to the precrisis experiences in 2007–2008. Bernanke, Bertaut, DeMarco, and Kamin (2011) note that the fnancial institutions, especially banks in Europe, were the major purchasers of asset-backed securities. They would obtain large dollar funding from the US money market. The immanent risk in these transactions was the exposure of European parent banks to any volatility in case a small spark arose in the global fnancial services. FG led to the speedy growth of the balance sheets of many banks. Globally active banks grew rapidly in size and complexity. This made it even more diffcult for national regulators and central banks to suffciently monitor their risk profles. Credit growth plummeted in most countries due to the ability of local banks to lend owing to an upsurge in the cross-border capital fows. Emerging markets growth may have fuelled the buildup of weaknesses in global credit markets. This may have led to a securitisation Chapter 7 • Global fnancial architecture 195 boom. Given all these factors, credit markets became vulnerable that occasioned the GFC. In a way, FG magnifed the impact of the possible causes of the crisis, such as weaknesses in credit market regulation and the upsurge of fnancing activities, which were largely unregulated. In the aftermath of the crisis, global productivity slowed down. Several proposals have been made to reform the global fnancial architecture, focusing more on the two Bretton Woods institutions – the IMF and the World Bank. The next section discusses these proposed reforms in the global fnancial architecture. 7.6 REFORMING THE GLOBAL FINANCIAL ARCHITECTURE The global fnancial architecture in the 1980s and 1990s operated largely in an unorganised manner, one in which institutions, especially the Bretton Woods institutions, came under serious criticisms from both the left and the right of the political spectrum. The conditional, policy-based lending at the time was central to these criticisms from the left. Spratt (2009) identifed the major criticisms of these institutions: • The Bretton Woods institutions, particularly the frst two (i.e. the IMF and the World Bank), were dominated by developed countries, which tended to infuence the policies with respect to lending programmes of these institutions. • The so-called Washington Consensus of economic policy prescriptions (mostly seen as neoliberal policies) were regarded as serving the interests of Western countries. Box 7.4 explains the Washington Consensus. • The two Bretton Woods institutions seem to have a one-size fts-all method for addressing issues in developing countries. They were accused of using the same template for all countries, irrespective of the economic conditions. • The infuence that the IMF and the World Bank wielded gave them much power to compel countries to implement these reforms, since they were conditional to qualify for fnancial support. The Bretton Woods institutions seemed to have no consideration for the concerns of citizens of these countries and the social implications of their reforms. • The Bretton Woods institutions’ lending programmes led to developing countries’ carrying high levels of debt. These left-wing critics contend that policies of the IMF and the World Bank have contributed to the high poverty levels in developing countries, especially in regions like Latin America and sub-Saharan Africa that implemented these reforms. Asia seemed to have been least affected by the conditionality associated with SAP, and therefore, the poverty reduction that the region experienced could not be attributed to the reform policies the IMF and the World Bank prescribed. 196 Joshua Yindenaba Abor et al. BOX 7.4 The Washington Consensus The Washington Consensus consists of ten economic policy prescriptions, which are considered to constitute the ‘standard’ reform package to address fnancial crises and determine policy to ensure economic development in Latin America, Southeast Asia, and other developing countries. The term was originally used by John Williamson, the English economist, at a conference at the Institute of Development Studies in 1989. Williamson’s use of the term ‘Washington Consensus’ was meant to capture the common understanding among policy advice by Washington-based institutions, particularly the IMF, the World Bank, and the US Treasury Department. The Washington Consensus was meant to promote free trade, foating exchange rates, free markets, and macroeconomic stability and became the basis of the SAPs and for that matter the lending conditions by the IMF and the World Bank. The general principles originally stated by Williamson (1990) in 1989, included ten specifc policy areas: 1 Fiscal discipline (with avoidance of large fscal defcits relative to GDP). 2 The redirection of public expenditure priorities (‘especially indiscriminate subsidies’) toward broad-based provision of key pro-growth, pro-poor services like primary education, primary healthcare and infrastructure investment. 3 Tax reform (broaden the tax base and adopt moderate marginal tax rates). 4 Interest rate liberalisation (interest rates that are market determined and positive but moderate) in real terms. 5 Competitive exchange rates. 6 Trade liberalisation (liberalisation of imports – emphasising the elimination of quantitative restrictions, such as licensing – and any trade protection to be provided by low and relatively uniform tariffs). 7 The liberalisation of foreign direct investment infows. 8 The privatisation of state-owned enterprises. 9 Deregulation (i.e. abolition of regulations that impede market entry or restrict competition, except for those justifed on safety, environmental, and consumer protection grounds, and prudential oversight of fnancial institutions). 10 Legal security for property rights. After publishing the list of policy prescriptions, advocates of neoliberalism deployed the term ‘Washington Consensus’ for their own purposes. Williamson (1999) recognised that the term was being used according to a different interpretation from the original prescription he provided. He opposed the alternative use of the term that became commonly known as ‘neoliberalisation’ in Latin America or ‘market fundamentalism’. Chapter 7 • Global fnancial architecture 197 Williamson (2000) realised that his 1989 policy design was fawed in the sense that it ignored fnancial supervision, without which fnancial liberalisation could result in poor lending and ultimately crisis, requiring the taxpayers to bear the costs. He argued that looking beyond the policy prescriptions based on the Washington Consensus was necessary, by focusing on the important role of institutions in addition to policies that promote equity in income distribution as well as rapid growth in income. There have also been strong arguments made by the right that criticise the Bretton Woods institutions. These institutions arguably tend to represent some form of pseudo-world government in the making and have no legitimacy. The IMF in particular prescribes policies that seem to be counterproductive. Again, according to right-wing critics, the presence of the IMF encourages moral hazard among borrowing countries and the lending institutions. Both borrowing countries and lending institutions may engage in irresponsible and careless behaviour, knowing that in the event of a crisis, the IMF will be present to provide a bailout plan (Spratt, 2009). These were some of the issues that invited a number of proposals and recommendations for reforming the global fnancial architecture, after the Asian crisis. In spite of the recommendations for reform, the global fnancial crisis that was set off in 2008 brought to the force major weaknesses in the precrisis global fnancial architecture that was meant to prevent, manage, and resolve crises in the international fnancial system. We discuss some of these proposals for reform made before and after the global fnancial crisis. 7.6.1 Earlier proposals on reform First, the Bretton Woods Committee Report (1997) suggested that the Bretton Woods institutions, particularly the IMF and the World Bank, need to be more transparent regarding information about their operations and also pay particular attention to addressing legitimate public concerns. Second, the UN Report (1999) made a number of recommendations for reforming the global fnancial architecture: • The need for improved consistency (and complementarity) of macroeconomic policies at the international level, including public scrutiny of the policies and operations of the central banks and the IMF. • Reforming the IMF to be able to provide for adequate international liquidity in times of crisis. • The adoption of improved codes of conduct and fnancial supervision at both the national level and the international level, in the interests of borrowers and creditors. • The preservation of relative autonomy of capital account issues in developing countries for the appropriate regulation of short-term capital fows or avoidance of sudden capital reversals. 198 Joshua Yindenaba Abor et al. • Providing time-bound and time-focused debt rescheduling, where and when necessary, rather than protracted and chaotic debt renegotiations that aggravate the costs of a debt crisis to borrower countries. The International Financial Institution Advisory (‘Meltzer’) Commission, appointed by the US Congress in 1998, which submitted its report in 1999, also made certain recommendations. The Meltzer Commission Report (1999) noted that the operations of the World Bank were associated with high cost and low effectiveness. The IMF also paid little attention to the fnancial structure of developing countries, as its short-term crisis management was considered costly. Its responses were considered too slow, its advice inappropriate, and its efforts at infuencing policy and practice intrusive (Rao, 2003). The Meltzer Report focused on eliminating moral hazard associated with the IMF, which was considered as the main cause of reckless borrowing. The commission proposed several reforms, specifcally to the functioning of the IMF, to address these problems, though the report also considered the role of the World Bank, the RDBs, the WTO, and the BIS. The role of the IMF in particular was seen as relevant to avoiding fnancial crises and resolving crises that may occur. Other reports included the Geneva Report (1999) and the Overseas Development Council Report (2000). Williamson (2000) reviewed the fndings of these various reports and made the following recommendations: • The IMF should narrow its activities and focus more on its core competencies in the areas of surveillance and ensuring macroeconomic stability among member countries. • The IMF’s surveillance should take the form of surveilling the world economy its member countries. • The IMF should focus on the role of being a lender of last resort to member countries affected by crisis, and countries should have to ‘prequalify’ for assistance, instead of the conditionality, which is linked to IMF lending. • The World Bank and the RDBs need to concentrate on providing technical assistance and public goods and facilitating private sector fows to middle-income countries. They should replace loans going to developing countries with grants, with the condition that the recipient countries have a good record of delivery. 7.6.2 Proposals on reform after the global fnancial crisis The global fnancial and economic crisis of 2007–2010 exposed the faws in the precrisis global fnancial architecture in terms of its implementation and structure. Looking back, the warning signs were quite clear, given the policy lapses and wrong judgements. Schinasi and Truman (2010) argue that the global fnancial architecture, in terms of structure and implementation, was not effective in advancing corrective measures at the national, regional, continental, or global level until the global fnancial system was affected by a full-scale global crisis. Elson (2017) suggests that the global fnancial crisis has raised questions regarding the effectiveness of the global fnancial Chapter 7 • Global fnancial architecture 199 architecture’s crisis-prevention capabilities, and clear defects can be identifed in its international guidelines for fnancial regulation, international policy coordination, the oversight of global fnancial stability, and the global fnancial safety net. Even though some improvements have been made in reforming the global fnancial architecture as well as the Financial Stability Board (FSB), a signifcant number of reforms are still needed to enhance the ability to safeguard global fnancial stability and address global crises. The FSB, as an international body, exists to promote global fnancial stability by ensuring that the development of regulation and the formulation fnancial sector policies are well coordinated. Box 7.5 provides a profle of the FSB. BOX 7.5 Financial Stability Board The Financial Stability Board (FSB) was founded in April 2009 and is responsible for monitoring and providing advice concerning the global fnancial system. It was created to succeed the Financial Stability Forum (FSF), which was established in 1999 by the G7 ministers of fnance and governors of central banks in line with the recommendations that Dr Hans Tietmeyer, president of the Deutsche Bundesbank, gave. Dr Tietmeyer was commissioned by the G7 to propose new structures to enhance cooperation among the various international and national supervisory bodies and IFIs in order to ensure the promotion of global fnancial system stability. He recommended the setting up of a FSF that was endorsed in February 1999 at a meeting by G7 ministers and governors in Bonn. The frst FSF was convened in Washington, DC, in April 1999. In November 2008, the G20 countries’ leaders asked for an expansion of the FSF to enhance its effectiveness. The membership of the FSF was expanded and re-established as the FSB. This was announced at the G20 Leaders’ Summit in April 2009. The FSB was established to specifcally carry out the following functions: • Assessing vulnerabilities affecting the global fnancial system and identifying and reviewing, on a timely and ongoing basis in a macro prudential perspective, the regulatory, supervisory, and related actions needed to address these vulnerabilities and their outcomes, promoting coordination and information exchange among authorities responsible for fnancial stability. • Monitoring and providing advice on market developments and their implications for regulatory policy • Monitoring and providing advice with regard to best practice in meeting regulatory standards • Undertaking joint strategic reviews of the international standard setting bodies and coordinating their respective policy 200 Joshua Yindenaba Abor et al. • • • • development work to ensure this work is timely, coordinated, focused on priorities and addresses gaps. Setting guidelines for establishing and supporting supervisory colleges. Supporting contingency planning for cross-border crisis management, particularly with regard to systemically important frms. Collaborating with the IMF to conduct early warning exercises. Promoting member jurisdictions’ implementation of agreed commitments, standards, and policy recommendations, by monitoring the implementation and through peer review and disclosure. It is composed of a Steering Committee and three Standing Committees, (i.e. Standing Committee on Supervisory and Regulatory Cooperation [SRC)], Standing Committee on Assessment of Vulnerabilities [SCAV], and Standing Committee on Standards Implementation [SCSI]). The FSB certainly has a signifcant role to play to promote stability in the global fnancial system. Strict adherence to and implementation of the international standards by members of the FSB is critical to achieving the overarching objective of international fnancial stability. Source: www.fsb.org/about/ Schinasi and Truman (2010) identifed six principal areas to consider in reforming the global fnancial architecture: • Regulatory requirements for capital, liquidity, and leverage and the potential benefts/costs of systemic-risk taxes. • Perimeters or boundaries of fnancial regulation, supervision, and infrastructures. • The regulation and surveillance of global money and fnancial markets. • Systemically important fnancial institutions or the ‘too big to fail’ (TBTF) problem • Crisis management, rescue, and resolution. • Effective management of volatile capital fows. 7.7 OTHER NOTEWORTHY ORGANISATIONS/GROUPS 7.7.1 The Group of Seven (G7), Group of Ten (G10) and Group of 20 (G20) The G7, G10, and G20 all play crucial roles in the global fnancial architecture due to the infuence they wield and the impact their decisions have on other countries. The G7 serves as a forum for the major industrial nations to discuss economic and fnancial issues among themselves. 7.7.1.1 THE GROUP OF SEVEN (G7) Chapter 7 • Global fnancial architecture 201 It was formed in 1975 after the collapse of the exchange rate system in 1971, the 1970s energy crisis and the recession that followed, and during the time of the Nixon shock. The main aim was to expedite shared macroeconomic plans and activities. The member countries are Canada (joined in 1976), France, Germany, Italy, Japan, the United Kingdom, and the United States. The presidents of the European Council, the European Commission, and the managing director of the IMF also participate in G7 meetings. Russia was a member from 1997 until it was suspended in 2014 after its annexation of Crimea; Russia withdrew in 2017. When Russia was a member, it was known as the G8. In addition to the yearly meeting of heads of states, since 1987, the fnance ministers and Central Bank governors of the G7 nations have met at least every half-year to review and assess economic happenings and policies. The presidency of the group operates on a rotating basis annually, a new term commencing on 1 January of the year. The order is as follows: France, the United States, the United Kingdom, Germany, Japan, Italy, and Canada. The G7 is important in the global fnancial architecture because of the wealth and importance of its member countries. However, critics have argued that the G7 no longer represents the world’s most powerful economies since China is not a member. The following are some of the initiatives that the G7 has launched: 1 The G7 launched an initiative for 42 heavily indebted poor countries (HIPC) in 1996. 2 In 1999, the G7 got more directly involved in the management of the international monetary system through the Financial Stability Forum, which was formed earlier in 1999, and the G20, which was set up after the summit to improve discourse between major industrial and emerging market countries. The G7 also announced their plan to cancel 90% of bilateral and multilateral debt for the HIPC, totalling USD100 billion. 3 In 2005, the G7 decided to reduce debts by up to a 100% on a situation by situation basis. 4 In 2008, the G7 met twice in Washington, DC, and in Rome in February 2019 to deliberate on the global fnancial crisis. The G10 refers to a group of 11 countries that agreed to play a part in a supplementary borrowing arrangement for the IMF. This is known as the General Arrangements to Borrow (GAB), and it allows the countries to offer support when the IMF’s resources are found to be less than what a member country, and in some exceptional cases a nonmember country, needs. This GAB was formed in 1962 by the governments of eight IMF members and the central banks of two others: Germany and Sweden. Although Switzerland joined in 1962, the name G10 was maintained. After it was formed, it broadened its engagement with the IMF, which led to the creation of the Special Drawing Right (SDR) in 1969. The G10 was also the medium for the discussions that led to the Smithsonian Agreement after the collapse of the Bretton Woods system. Due to the importance of its activities, the Bank for International Settlements (BIS), the European 7.7.1.2 THE GROUP OF 10 (G10) 202 Joshua Yindenaba Abor et al. Commission, the IMF, and the OECD are offcial observers of the activities of the G10. The members of the G10 are Belgium, Canada, France, Germany, Italy, Japan, the Netherlands, Sweden, Switzerland, the United Kingdom, and the United States. The Basel Committee on Banking Supervision (BCBS) was set up by central bank governors of the G10 countries in 1974. The G20 is a group made up of counties with both advanced and emerging economies. The members are Argentina, France, Japan, South Africa, Australia, Germany, the Republic of Korea, Turkey, Brazil, India, Mexico, the United Kingdom, Canada, Indonesia, Russia, the United States, China, Italy, Saudi Arabia, and the European Union. The G20 was created in 1999 to improve policy coordination between its members, stimulate fnancial stability, and reform the international fnancial architecture following the 1990s fnancial crisis. Membership in the G20 includes the heads of state and government, fnance ministers, and central bank governors of the G7, 12 other key countries, the European Union, and the European Central Bank. The managing director of the IMF and the president of the World Bank, plus the chairs of the IMFC and the Development Committee, also participate in G20 meetings on an ex offcio basis. The IMF works closely with the G20, particularly on issues related to global economic growth and international monetary and fnancial stability. The IMF’s work often provides a platform for G20 deliberations; vice versa, agreements reached at the G20 level are taken into consideration in the IMF’s decision-making process, even though such agreements have no legal status or binding effects at the IMF. The G20 works closely with the OECD, which is profled next. 7.7.1.3 THE GROUP OF 20 (G20) 7.7.2 The Organisation for Economic Cooperation and Development (OECD) The OECD is an intergovernmental economic organisation with 36 members. It was formed in 1961 to kindle international trade and economic growth. The OECD’s member countries and partners collaborate on global issues at local, national, and regional levels. Its headquarters are in Paris, France. The OECD works with government policymakers and citizens to set international norms and fnd solutions to social, economic, and environmental issues. Some of the issues they work on include improving economic performance, creating jobs, improving education, and battling international tax evasion. All of this is done through data and analysis, the exchange of experiences, best practice sharing, and advice on public policies and global standard setting. The OECD works through a secretariat. The Secretariat’s work is oriented by OECD members whose representatives participate in OECD committees and working parties. There are some committees with each directorate or department supporting one or more committees. There are also some committee working parties and subgroups. The OECD has a well-being index based on 11 topics: housing, income, jobs, community, Chapter 7 • Global fnancial architecture 203 education, environment, civic engagement, health, life satisfaction, safety, and work–life balance. The OECD has acted as a strategic advisor and is an active partner to the G20. The OECD participates in G20 working group meetings and provides data, analytical reports, and proposals on specifc topics, sometimes in collaboration with other international organisations. The OECD contributes to all stages of preparation of G20 summits. The G20 does not have a secretariat but relies on the support of established international organisations. As a result, the OECD secretariat has evolved into a quasi-secretariat of the G20. For example, the OECD and G20 countries worked together for two years to develop new international tax standards and measures, addressing issues like preventing treaty shopping, country-by-country reporting, and fghting harmful tax practices. 7.8 THE UN SUSTAINABLE DEVELOPMENT GOALS (UN SDGS) The SDGs consist of 17 goals and 169 targets adopted by the United Nations in 2015 to replace the Millennium Development Goals (MDGs). The goals relate to development and empowerment and include issues such as poverty, hunger, women’s empowerment, affordable and clean energy, taking care of the environment, decent work, clean water and sanitation, and quality education. Given the worldwide scale of the SDGs, meeting the SDGs is expected to lead to more development overall. The United Nations Conference on Trade and Development (UNCTAD) in 2015 estimated that about USD5–7 trillion would be required annually until 2030 in order to achieve the SDGs. This funding gap is enormous and may require the support of fnancial institutions. The SDG fnancing gap arguably represents a tremendous opportunity for fnancial institutions. Weber (2018) argues that fnancial institutions have a critical role to play in fnancing the SDGs through various fnancing options. He outlines different types of banking as well as fnancial products and services that might address the SDGs, including conventional banking. These include socially responsible investing (SRI), impact investing, social banking, green and social impact bonds, development banking, project fnance, and green lending. Schmidt-Traub and Sachs (2015) point out that multilateral development banks (MDBs) have the requisite structures and mechanisms to fnance the SDGs because of their mandate to support development-related programmes, expertise of their staff, and track record in managing complex projects, among other strengths. However, they posit that the conservative loan approach of MDBs is a constraining factor on their increasing their lending activities. Wiek and Weber (2014) posit that the fnancial sector can both be the source of sustainability problems and the solution to those problems through their fnancing choices. Some MDBs fnance climate-change-mitigation 204 Joshua Yindenaba Abor et al. TABLE 7.2 Financial products and services addressing the SDGs Goal Goal detail Suggested fnancial product for fnancing 1 No poverty 2 3 4 5 No hunger Good health and well-being Quality education Gender equality 6 Clean water and sanitation 7 8 Affordable and clean energy Decent work and economic growth 9 Industry innovation and infrastructure Private international development fnance through impact investing Microfnance for smallholder farmers Healthcare investments Philanthropic donations to schools Microfnance and lending to women and female entrepreneurs Socially responsible mutual funds investing in water Renewable energy investment General investments into the real economy Project fnance and commercial lending integrating social and environmental criteria for lending decisions Fair payment of fnancial sector employees Mortgage lending Socially responsible investing 10 Reduced inequalities 11 12 Sustainable cities and communities Responsible consumption and production Climate action Life below water Life on land Peace, justice, and strong institutions 13 14 15 16 Climate fnance Financing ecological services Financing ecological services Lending to public institutions Source: Weber (2018) and climate-change-adaptation projects while fnancing coal power plants (Ghio, 2015; Yang & Cui, 2012). 7.9 CONCLUSION This chapter has provided an extensive review of the wide range of institutions that make up the global fnancial architecture. There has been signifcant expansion and development of the global fnancial architecture since the end of the Second World War and especially in more-recent decades with the unprecedented growth in global capital fows and the globalisation of trade. We have paid particular attention to the events that have led up to and that have emerged since the eruption of the global fnancial crisis in 2008. Since the 1970s, there has clearly been a marked shift in the focus of global and national fnancial regulation away from product and price controls and towards stronger prudential regulation and supervision. Global competition has never been more intense, but more-recent events have exposed the extent to which fnancial institutions are vulnerable to greater risks in the context of a rapidly evolving global fnancial framework. Chapter 7 • Global fnancial architecture 205 Discussion questions 1 Describe the global fnancial architecture and the key features of the international fnancial system? 2 Consider any country of your choice and examine the structural adjustment programme implemented in that country. Evaluate the success or otherwiseof the programme. 3 Discuss the role of regional development banks in fnancing development projects. 4 What is fnancial globalisation? Examine the relevance and benefts of fnancial globalisation and the risks associated with it. 5 Discuss the dynamics of fnancial globalisation. In what ways did fnancial globalisation contribute to the global crisis? 6 Evaluate some of the proposals on reform after the global fnancial crisis. References Baffoe, J. K. (2000). Structural adjustment and agriculture in Uganda. Working Paper 149. Geneva: International Labour Offce. Bernanke, B. S., Bertaut, C., DeMarco, L. P., & Kamin, S. (2011). International capital fows and the returns to safe assets in the United States, 2003– 2007. Banque de France Financial Stability Review, 15, 13–26. Christiaensen, L. J., Demery, L., & Paternostro, S. (2001). Growth, distribution and poverty in Africa: Messages from the 1990s. Washington, DC: World Bank. Culpeper, R. (1997). The multilateral development banks: Titans or Behemoths? Boulder, CO: Lynne Rienner; Ottawa: The North-South Institute. Easterly, W. (2000). The effect of IMF and World Bank programs on poverty. Mimeo. Washington, DC: World Bank. Einhorn, C. S. (2013). Can you fght poverty with a fve-star hotel? Foreign Policy. Retrieved from https:// foreignpolicy.com/2013/01/02/canyou-fight-poverty-with-a-five-starhotel/ Elson, A. (2010, March). The current fnancial crisis and reform of the global fnancial architecture. The International Spectator, 45(1), 17–36. Elson, A. (2017). The role of the international fnancial architecture prior to and since the global fnancial crisis. In The global fnancial crisis in retrospect. New York: Palgrave Macmillan. Ghio, N. (2015). New report once again shows danger of MDB fnancing for large fossil fuel projects. The Huffington Post. Retrieved from www. huffpost.com/entry/new-report-onceagain-sho_b_7102638 IMF. (1998). Uganda-enhanced structural adjustment facility policy framework paper 1998/99–2000/01. Washington, DC: Author. Klasen, S. (2003). What can Africa Learn from Asian development successes and failures? Review of Income and Wealth, 49(3), 441–451. Lane, P. R., & Milesi-Ferretti, G. M. (2007). The external wealth of nations Mark II: Revised and extended estimates of foreign assets and liabilities, 1970–2004. Journal of International Economics, 55, 263–294. Lund, S., Windhagen, E., Manyika, J., Harle, P., Woetzel, J., & Goldshtein, D. (2017). The new dynamics of fnancial globalization. McKinsey Global Institute. Retrieved from www.mckinsey. com/industries/financial-services/ our-insights/the-new-dynamics-offnancial-globalization Mosley, P., Harrigan, J., & Toye, J. (1995). Aid and power: The World Bank and 206 Joshua Yindenaba Abor et al. policy-based lending (2nd ed.). London: Routledge. OXFAM. (2015). Billions in ‘out of control’ IFC investments into third parties causing human rights abuses around the world. OXFAM International. Retrieved December 3, 2017, from www.oxfam. org/en/pressroom/pressreleases/ 2015-04-02/billions-out-control-ifcinvestments-third-parties-causinghuman-rights-abuses Rao, P. K. (2003). Development fnance. Berlin: Springer Science & Business Media. Schinasi, G. J., & Truman, E. M. (2010). Reform of the global fnancial architecture. Peterson Institute for International Economics, Working Paper Series, WP10-14. Retrieved from https:// ideas.repec.org/p/iie/wpaper/wp1014.html Schmidt-Traub, G., & Sachs, J. D. (2015). Financing sustainable development: Implementing the SDGs through effective investment. Retrieved from https:// www.semanticscholar.org/paper/ Financing-Sustainable-Development% 3A-Implementing-the-SchmidtTraub-Sachs/ca9af2d591bdc06d855 abbdfa874a39964f8bdd2 Spratt, S. (2009). Development fnance: Debates, dogmas and new directions. New York: Routledge. Weber, O. (2018, November). The fnancial sector and the SDGs interconnections and future directions. Centre for International Governance and Innovation CIGI Papers No. 201. Washington, DC: World Bank. Wiek, A., & Weber, O. (2014). Sustainability challenges and the ambivalent role of the fnancial sector. Journal of Sustainable Finance & Investment, 4(1), 9–20. Williamson, J. (1990). What Washington means by policy reform. In J. Williamson (Ed.), Latin American adjustment: How much has happened? Washington, DC: Institute for International Economics. Williamson, J. (1999). Implication of the East Asian crisis for debt management. In mimeo. Coventry: University of Warwick. Williamson, J. (2000). What should the World Bank think about the Washington consensus? The World Bank Research Observer, 15, 251–264. World Bank. (1994). Adjustment in Africa: Reforms, results, and the road ahead. New York: Oxford University Press. World Bank. (2000). Can Africa claim the 21st century? New York: Oxford University Press. Yang, A., & Cui, Y. (2012). Global coal risk assessment: Data analysis and market research. Working Paper. World Resources Institute. Retrieved from https://pdf.wri.org/global_coal_risk_ assessment.pdf Yeyati, E. L., & Williams, T. (2014). Financial globalization in emerging economies: Much ado about nothing? Economia, 14(2), 91–131. CHAPTER 8 Sovereign wealth management Mbako Mbo and Charles Komla Delali Adjasi 8.1 INTRODUCTION Sovereign wealth management centres on prudent public fnance management, wherein the need to plan for economic shocks and taking care of excess liquidity (arising mainly from monetised natural resources), have historically motivated a conscious approach to managing sovereign wealth. In essence, current wealth accruing to the state is partly saved up for the future. Countries endowed with natural resources periodically experience excess liquidity, particularly corresponding to periods of global economic boom, but quite commonly too, recessions do occur. Thus, the effects of economic recessions are substantially diluted by calling up on fnancial wealth accumulated during periods of excess liquidity. Countries beneft from their natural resources in a number of ways; Chile, which opted to nationalise its copper mines, benefts directly from fnancial returns from these mines, just as the state-owned oil companies among the Persian Gulf countries have been at the forefront of sovereign wealth creation in that region. Botswana, a country frequently cited as an African example of how natural resources can transform a nation, has not nationalised its diamond and other mines (although it holds a stake), but rather benefts through distributions, royalties, and taxes. Although natural resources dominate the original sources of allocations made towards sovereign wealth accumulation by governments, with oil and gas in the lead at 56% of the cases,1 the Wharton Leadership Centre lists other common sources as balance of payment surpluses, offcial foreign currency operations, the proceeds of privatizations, fscal surpluses, and receipts resulting from commodity exports.2 Although countries have held reserves in one form or another for centuries, the concept of managing sovereign wealth in a fund setup is a recent one, commonly associated with funds that evolved alongside the Persian Gulf States oil strikes in the 1950s. Successive waves of similar types of funds continued to emerge almost throughout the decades that followed, corresponding mainly to booms in oil and other natural resources in countries like South Korea, UAE, Saudi Arabia, and Iran. With the proliferation and success of sovereign wealth funds (SWFs)3 since the 1950s, the objectives of sovereign wealth management have been interestingly expanding, particularly so in emerging economies. The 208 Mbako Mbo and Charles Komla Delali Adjasi increasing pressures on traditional sources for domestic infrastructure development funds in particular have forced governments to seriously look into the diversifcation and externalisation of revenue streams. In 2007 the International Monetary Fund (IMF)4 offered a broad categorisation of funds involved in sovereign wealth management, on the basis of their stated objectives: 1 2 3 4 5 Stabilization funds. Savings funds. Reserve investment funds. Development funds. Contingent pension reserve funds. The expanding objectives and focus of sovereign wealth management have reshaped the approach to it and its position in the global economy, fnancial markets in particular. In this chapter, we look at the evolution and overview of sovereign wealth management, the changing role of sovereign wealth managers, asset-liability management in emerging economies, asset allocation and risk management for sovereign wealth funds, and the challenges and opportunities of sovereign wealth funds. 8.2 THE CONTEXT OF SOVEREIGN WEALTH MANAGEMENT The existence of failed economies around the world epitomises the reality that sovereign states, just like corporations, can fall into positions where they have no resources with which to fulfl their sociopolitical and national defence objectives. Unfortunately, failed economies are not always a result of a lack of economic resources, and causes extend to poor governance and sheer lack of economic foresight; in all probability, this situation is avoidable. For example, in ‘Conceptualising the Causes and Consequences of Failed States’, John (1998) cites countries like Venezuela, Tanzania, Ghana, and Zambia as some of the countries that faced the imminent failure of the economy at some point. This is despite a wide range of economic resources that these countries have been endowed with – for example, the diamonds and natural gas in Venezuela, copper in Zambia, and forestry and wildlife resources in Tanzania. Ghana has since emerged as one of the fastest growing economies across the African continent, posting an impressive gross domestic product (GDP) growth Awanzam and Okudzeto (2018). However, good governance and sociopolitical unrest on their own are not enough; countries heavily dependent on natural resources in particular are prone to both resource depletion and moderate to severe economic shocks. A case in point is what transpired in the oil-rich Middle East as an aftermath on the 2007/2008 global fnancial crises. Aggregate GDP growth rates for Golf Cooperation Council (GCC) economies dropped from 7.2% to a mere 0.8%, and housing prices plummeted by as much as 62% in Kuwait (Salah, 2010). Although the role of the government in the global economy has gradually neutralised over time, albeit at different scales across geographies, private wealth is yet to demonstrate its ability to avert, its willingness to avert, or even an active relevance in averting state economic failures. On the contrary, we have seen state bailouts and private capital fight during times of economic hardship; the 2007/2008 fnancial crises saw the US federal Chapter 8 • Sovereign wealth management 209 government approve a USD700 billion rescue plan for corporations that were facing total collapse as a result of an economic downturn. Otherwise, capital outfow patterns displayed some negative response to the fnancial crises (Cheung, Steinkamp, & Westermann, 2013). Clearly, good economic governance should embody foresight, and an average economy must be able to withstand severe but plausible economic shocks, at least over a period of time. With such in place, a sovereign will maintain socioeconomic stability, which is also critical for retaining private capital. Private capital is simply not widely available for the rescue of sovereigns facing economic troubles; it is for the creation of private wealth. Consequently, SWF management needs to become a prominent feature of good economic management. 8.3 THE ANALYTICAL FRAMEWORK To put the discussions of this chapter into context, we use the analytical framework in Figure 8.1. FIGURE 8.1 A conceptual framework for SWF BODY OF THEORY Trade Surpluses Evolution of Sovereign Wealth Management ˜ Lessons Learnt (Economic ˜ downturns) ˜ Strategic Control Theories of Economics International Trade Theory Financial Management Theories Sovereign Wealth Funds (SWFs) ˜ Set-up Funding ˜ ˜ Management ˜ Commercialized Public Entity Outsourced Management Level of Political control Board Structures Corporate Governance The more “Traditional Funds by role/type o Stabilization o Savings o Reserves & Pensions o Development A policy Tool Roles” The Role of Sovereign Wealth Funds The emerging Roles An international Economic Cooperation Tool Opportunities Capital availability Public Private Partnerships Patient Capital Challenges risk/return Information Asymmetry Threats to financial stability adjustment, role of Government Capital flow patterns, Asset Price distortions 210 Mbako Mbo and Charles Komla Delali Adjasi 8.4 EVOLUTION AND OVERVIEW OF SOVEREIGN WEALTH MANAGEMENT SWF management gained momentum from the 1950s with the setting up of funds focused on sovereign wealth investment, which progressively got dotted the globe, as depicted in Figure 8.2. Even though the term ‘sovereign wealth fund’ is believed to have been coined as recently as 2005, funds involved in the management of sovereign wealth have been emerging over several decades, particularly since the 1950s. In Figure 8.3, we show the trends in the building up of these funds over the years, which for now we shall not necessarily refer to as sovereign wealth funds. FIGURE 8.2 Evolution of SWF over time FIGURE 8.3 Cumulative growth in the number of funds, 1953–2017 90 80 70 60 50 40 30 20 0 1953 1955 1957 1959 1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 10 Chapter 8 • Sovereign wealth management 211 For the purposes of our discussion, the proliferation of funds involved in the management of sovereign wealth (see Dixon, 2016) shall be considered in three distinct phases; before the 1970s, before the fnancial crisis of 2007/2008, and the period following the 2007/2008 global fnancial crisis. 8.4.1 Before the 1970s According to the Sovereign Wealth Fund Institute, only three sovereign wealth–focused funds were in existence as of the fall of 1970, domiciled in the US and the Persian Gulf regions. It is widely believed that the Kuwait Investment Board, founded in 1953 (now the Kuwait Investment Authority) was the world’s frst investment vehicle to be given a sovereign wealth management mandate, followed three years later by the Revenue Equalisation Reserve Fund in the pacifc island of Kiribati. The genesis of Kuwait’s massive wealth potential came with the oil discovery in 1938, although no large-scale exploration activities were carried out until after World War II. By 1951 Kuwait had begun signifcant oil trading activities, realising massive exports leading to an impressive sovereign wealth accumulation trend. This growth in wealth then triggered the setting up of a sovereign wealth– focused fund in 1953. Around the same time, the geographically isolated pacifc island of Kiribati (then Gilbert), which had traditionally relied on tax and royalty revenues linked to phosphate mining, was forecasting a decline in national income. The Revenue Equalisation Reserve fund was thus set up in 1956 to diversify sources of government revenues from phosphate-mining activities. Alongside Kuwait, Saudi Arabia discovered massive oil deposits, although its exploration work and actual trading began much earlier. The kingdom experienced a large infux of foreign currency from its oil-related exports as from the late 1930s prompting the king, under the advice from some US offcials, to set up a central bank of some sort. Thus, the SAMA Foreign Holdings was formed in 1952, but initially not with a specifc sovereign wealth management mandate like that of the Kuwait Investment Board. SAMA, or the Saudi Arabian Monetary Authority, has since evolved to be the kingdom’s fully fedged central bank, with just under USD500 billion in assets under management (AUM) by February 2018. The concept of managing sovereign wealth gained recognition during the early 1950s, driven by two primary variables: excess wealth accumulating from monetised oil resources (Kuwait and Saudi Arabia) and the need to diversify the economy from overrelying on a single commodity (Kiribati). According to the Sovereign Wealth Fund Institute, no further funds came into being until the mid 1970s, when another wave was experienced, lasting into the 2000s. This phase is considered in the next section. 8.4.2 Before the fnancial crisis of 2007/2008 The Sovereign Wealth Fund Institute lists 37 funds with mandates related to sovereign wealth management that emerged between 1974 and 2006, a 212 Mbako Mbo and Charles Komla Delali Adjasi year before the global fnancial crisis of 2007/2008. Oil and other natural resources continued to dominate the origins of the funds, but other sources began to emerge, including surpluses on balance of trade accounts and general budget surpluses. The regional dominance by oil-rich territories began to dilute as well, and Asia took the lead in funds emerging as of 1969 and until 2006, funded from sources other than oil. The historically central role played by oil production in the evolution of sovereign wealth management cannot be underplayed. The average OPEC oil price (crude) per barrel experienced signifcant downwards pressure as from the mid 1980s, remaining relatively subdued at below USD20 per barrel until two decades later, when the price recovered to an average USD27.6 per barrel in 2000. Corresponding to this is a signifcant drop in the emergence of sovereign funds, particularly outside Asia were only three funds were registered in Norway (Government Pension Fund–Global in 1990), Botswana (Pula Fund in 1994), and Abu Dhabi (Mubadala Investment Company in 2002 and Abu Dhabi Investment Council in 2007). Similarly, unlike the Persian Gulf countries, the advent of sovereign wealth management in Eastern and South Eastern Asian countries was not predominantly driven by oil production. Most sovereign wealth– focused funds in these countries emerged after 1970, alongside a wave of industrialisation among the Asian Tigers (Singapore, Hong Kong, Taiwan, and South Korea). A signifcant rise in economic performance was also being registered in Southeast Asia as from the late 1960s into the next few decades, driven mainly by the ability to export agricultural produce and processed food. Oil regained its position as a signifcant driver of sovereign wealth, with an upsurge of oil surplus originated funds between 2000 and 2007 in oil-rich states in Asia once again, but particularly in the Middle East. This is a period characterised by a steadily rising price of crude oil, which improved from an average of USD28 per barrel in 2000 to USD69 per barrel in 2007 and up to USD94 in 2008, before a dramatic drop to USD61 per barrel a year later. FIGURE 8.4 SWF by source of seed capital Original Sources of funds emerging between 1970 and 2006 Non oil sources South Amercia Africa & Europe Middle East Other sources Asia Oil Chapter 8 • Sovereign wealth management 213 FIGURE 8.5 Evolution of SWFs in Asia (pre-2007/2008 fnancial crisis) Asia 1970–1979 1980–1989 1990–1999 2000–2007 Temasek Holdings (Singapore) Hong Kong Monetary Authority Investment Portfolio Khazanah Nasional (Malaysia) Brunei Investment Agency Singapore Investment Corporation Hong Kong Monetary Authority Investment Portfolio SAFE Investment company (China) Kazakhstan National Fund (Kazakhstan) State oil fund (Azerbaijan) Korea Investment Corporation Timor Leste Petrolium Funds (East Timor) State Capital Investment Corporation (Vietnam) The Middle East region has been the pioneer of sovereign wealth management, driven mainly by accumulating oil-linked fscal surpluses. The oil surpluses were supported by steady to rising oil production on the back of a strong recovery of global crude oil prices. Figure 8.6 depicts crude oil production and price trends between 1998 and 2008. During this period, seven sovereign funds came into being, four of which in the United Arab Emirates (UAE), where the average daily oil production grew by 16% from 1999 levels to exceed three million barrels per day in 2007. Production in Bahrain and Oman remained fairly stagnant between 1999 and 2007, with marginal oscillations, while Qatar registered an impressive 75% jump in daily oil production in the same period. The evolution of sovereign wealth management in Africa continued, but at a more noticeable pace only from the early 2000s. Oil-rich nations like Libya, Gabon, and Algeria had lagged behind for geopolitical and economic reasons. Libya, for one, emerged from heavy sanctions imposed on it frst by the US in 1978 initially targeting military supplies but later extending to oil trade in 1982. The United Nations (UN) and the European Union (EU) also came up with their own sets of sanctions against Libya in 1992, thereby compounding the trade complications. Not until 2004 did the US lift its sanctions, followed shortly by the EU and UN. This opened new trade possibilities between Libya and rest of the world, coming at a time when the oil price was on a speedy recovery, exceeding USD50 per barrel for the frst time in history in 2005. Surpluses began to soar, and the Libyan Investment Authority was born in 2006. Algeria joined the bandwagon in 2000, after successfully arresting its own economic woes, which included crippling amounts of public debt, widening fscal defcits and arguably, limited trading partners (until then, 214 Mbako Mbo and Charles Komla Delali Adjasi FIGURE 8.6 Trends in the Middle East: oil prices and production 12,000 100 1,000 barrels per day 10,000 80 70 8,000 60 50 6,000 40 4,000 30 20 2,000 - USD/barrel of crude oil 90 10 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 Iran Iraq Kuwait Qatar Saudi Arabia United Arab Emirates Other Middle East Oil Prices - FIGURE 8.7 Evolution of SWFs in the Middle East (pre-2007/2008 fnancial crisis) Middle East 1970–1979 1980–1989 1990–1999 2000–2007 Abu Dhabi Investment Authority Saudi Arabia Public Investment Fund State General Reserve Fund (Orman) Abu Dhabi investment Council Mubadala Investment Company (Abu Dhabi) Investment Corporation if Dubai Orman Investment Fund Mumtalaka Holding (Bahrain) Qatar Investment Authority RAK Investment Authority – UAE Algeria had remained too reliant on France, and the ties between the two countries remain strong to date). Other nations like Gabon, where a sovereign wealth fund came into being in 1998, and Equatorial Guinea, where the Future Generations Fund was incepted in 2002, had previously limited their international trading avenues through their own laws and regulations. Gabon, after joining the WTO in 1995, introduced a new and relatively progressive investment code in 1998, which was seen as conforming, in all material respects, to the Central African Economic and Monetary Community (CEMAC) investment regulations. This facilitated domestic trade but more importantly, from sovereign wealth perspective, Gabon’s ability to partake foreign investment. Equatorial Guinea made its large oil discovery in 1996, but its recorded sovereign wealth management activity began in 2002, when reserves accumulated to signifcant growth, driven by increasing production supported by improving prices of crude. Chapter 8 • Sovereign wealth management 215 FIGURE 8.8 Evolution of SWFs in Africa (pre-2007/2008 fnancial crisis) Africa 1970–1979 1980–1989 1990–1999 2000–2007 Revenue Regulation Fund (Algeria) Gabon Sovereign Wealth Fund National Fund for Hydrocarbon Reserves (Mauritania) Fund for Future Generations (Equatorial Guinea) Pula Fund (Botswana) Libyan Investment Authority FIGURE 8.9 Evolution of SWFs in other parts of the world (pre-2007/2008 fnancial crisis) Other 1970–1979 1980–1989 1990–1999 2000–2007 Alaska Permanent Fund (US) Social and Economic Stabilisation fund (Chile) New Zealand Superannuation Fund Future Fund (Australia) Government Pension Fund–Global (Norway) Like in the period leading to 1970, the evolution of sovereign wealth management into the 21st century was driven predominantly by fscal surpluses, although the dominance of oil as the major contributor to such surpluses somewhat declined between 1980 and 1999, mainly as a result of depressed oil prices. Industrialisation and commodity-led international trade boosted the accumulation of surpluses among the Asian Tigers (Singapore, Hong Kong, Taiwan, and South Korea) and the high-performance economies in Southeast Asia. The signifcant and sustained recovery of global crude oil prices in the early years of the 21st century propelled fscal prosperity in oilrich states, particularly in Middle East but also, interestingly, in Africa, where economic reforms were being undertaken alongside improving geopolitical dynamics in countries such as Libya, Gabon, Algeria, and Guinea-Bissau. 8.4.3 Period succeeding 2007/2008 global fnancial crisis The majority of countries around the world experienced a major economic downturn due to the 2007/2008 fnancial crises, which affected both advanced and emerging economies. The genesis of these crises has been traced to the US subprime lending, which is estimated to have swelled up to 216 Mbako Mbo and Charles Komla Delali Adjasi a trillion dollars by 2007, representing a signifcant 7% of overall outstanding mortgages in the US. Perhaps two main features made the subprime mortgage prominently problematic: 1 Low credit quality (i.e. the borrowers in this instance were generally those with ultra-low credit scores). 2 The loan-to-value ratios were high. As fate would have it, the housing market collapsed, and borrowers defaulted and could not release the bonded assets primarily, because market conditions were not supportive. Credit losses among individual banks swelled up to drastically affect the collective banking market (see Shabbir, 2009), the ability to extend new credit lines shrunk, and the fow of money that was needed to propel economic growth dried up. The activity levels of creating, buying, and selling new assets hit historic lows, and international trade slumped, leading to reducing trade surpluses, forcing countries to turn to reserves. All this happened when the level of the integration of the world economy had advanced, with trade dependency on the historically isolated China estimated to be over 65%. This precipitated the rate at which the fnancial crises spread from the US to rest of the world. The reduced world economic activity, on the other hand, was affecting the global demand for oil, leading to a 33% slump in price of crude to average at USD61 per barrel during 2009. For sovereign wealth management, the surpluses that had, at this point, driven the evolution of sovereign funds were dwindling and in fact became a thing of the past in some jurisdictions. The two main drivers of these fscal surpluses had taken a hit: favourable trade balances and ‘healthy’ oil prices. Surprisingly, a total of seven sovereign funds came into being at the pick of the fnancial crises, four of which were funded from oil-related fscal surpluses (Saudi Arabia Public Investment Fund, Russia National Welfare Fund, Samruk-Kazyna JSC, and Turkmensistan Stabilisation Fund). Seemingly, important lessons were learnt from the effects of the fnancial crisis, as a historic 18 sovereign funds came into being within the frst FIGURE 8.10 Evolution of SWFs: the aftermath of the 2007/2008 global fnancial crisis 2008–2009 2010–2016 Saudi Arabia Public Investment Fund Russia National Welfare Fund Samruk-Kazyna JSC: Kazakhstan Sovereign Fund of Brazil Turkmenistan Stabilisation Fund Sharjah Asset Management- UAE Russian Reserve Fund Chapter 8 • Sovereign wealth management 217 six years after the pick of the crisis in 2008/2009. The naming conversion of some of the funds that came into being post fnancial crisis are refective of lessons learnt from the dangers of depleting reserves: North Dakota Legacy Fund, Colombia Savings and Stabilisation Fund, Western Australia Future Fund, Mongolia Future Stability Fund, West Virginia Future Fund, and Luxembourg Intergenerational Fund. Thus, instead of being seen primarily as a surplus driven vehicle, nations, perhaps from the lessons of the crises, began to comprehend the idea of actively seeking to create reserves for the future. Angola is also a case in point; in 2012, the government set up a USD5 billion SWF known as the Fundo Soberano de Angola (FSDEA) with a specifc mandate to safeguard existing wealth for future generations. Its investment philosophy was to target low-risk non-oil industries that would then diversify future wealth prospects away from oil. Despite a signifcant recovery of oil prices as from 2010 continuing until 2013, oil once again lost its dominance as an originator of sovereign wealth funds, and only seven of the 18 funds originated from oil-linked fscal surpluses. Natural resources, initially oil but later other resources like minerals, have supported the growth of global trade and attendant surpluses. SWM gained popularity: no fewer than 80 sovereign wealth funds dotted the globe5 by early 2018. The SWFI estimates its member SWF to have held a combined USD7.7 trillion in AUM at the end of February 2018. FIGURE 8.11 Evolution of SWFs post-2007/2008 global fnancial crisis 2008–2009 2010–2016 National Development Fund of Iran Russia Direct Investment Fund North Dakota Legacy Fund–US Colombia Savings and Stabilisation Fund Kazakhstan National Investment Corporation Bayelsa Development and Investment Corporation-Nigeria Nigerian Sovereign Investment Authority Fondo de Ahorro de Panama FINPRO- Bolivia Senegal FONSIS Ghana Petroleum Funds Western Australia Future Fund Mongolia Future Stability Fund Papua New Guinea Sovereign Wealth Fund West Virginia Future Fund Fondo Mexicano del Petroleo Luxembourg Intergenerational Fund Turkey Sovereign Wealth Fund 218 Mbako Mbo and Charles Komla Delali Adjasi 8.5 SWF FUNDING, MANAGEMENT, AND GOVERNANCE 8.5.1 Funding As we highlighted in earlier sections, SWFs are born out of an intention to prepare for the future, be it to shield national revenues from volatility or saving for future generations. Invariably, governments allocate substantial amounts as seed capital for SWF formation; an example includes Angola’s FSDEA USD5 billion in 2012 (World bank, 2013). After its formation, funding modalities for SWFs differed, including a purely self-funding arrangement and some formula-based allocation from state revenues. SWFs like Mubadala of Abu Dabhi, Botswana’s Pula Fund, and Temasek of Singapore are examples of state-backed SWFs with no regular government funding. At the other end of the spectrum, the Funds for Future Generations in Equatorial Guinea has a commitment from the government for a stipulated 0.5% annual allocation from oil revenues. In between the continuum exist some SWF whose continuing state support is contingent on certain conditions or the occurrence of certain events. A perfect example in this case is the Economic and Social Stabilisation Fund of Chile, which from its inception had an entitlement to an allocation from a state budget devised when copper revenues were optimal. How an SWF is supported by a sponsoring government from time to time can be seen as linked to its broad objective or simply its type. Saving funds and stabilisation funds typically get a one-off but substantial capital and thereafter self-fund from a little portion of their returns: the portion that does not get reinvested. By contrast, development and future generations’ funds typically get additional allocations for incremental investments. 8.5.2 Governance and management structures The governance and management structures of SWFs are predominantly infuenced by investment strategy, investment approaches, and risk appetite. The setup normally ranges from institutional arrangements supported wholly by management and governance structures of a sponsoring institution (a ministry of fnance or a central bank), to a fully fedged institution with its own staff, management, and board. The former is typical with stabilisation and saving funds, which normally carry a low risk appetite, investing only in premium securities. Such an approach to investment does not call for fully fedged investment teams, because there is little monitoring beyond analysis and reporting; neither do they pursue any implementation of investment projects. Botswana’s Pula Fund is an example: it was set up by the central bank (Bank of Botswana), which manages and controls it under its regular management structures. The fund is essentially a longterm investment portfolio aiming to preserve part of diamond income for future generations through global investments in low-risk instruments. On the other end of the spectrum, we fnd Temasek, the Singaporean SWF. Temasek is a fully fedged corporation employing over six hundred personnel across its ten offces in different parts of the world. The SWF is Chapter 8 • Sovereign wealth management 219 governed by a fully fedged 14-member board, with a team of 25 senior executives leading the operations. Again, the relevance of such a structure stems from Temasek’s approach to investment and from the risk appetite; it is an active investor that buys and holds stakes in subsidiaries and associate companies and spends time assessing other risky investments of higher long-term returns. Between these two extremes other variants may exist, typically involving a skeletal caretaker team hosted by the sponsoring government or central bank, where such a team would be involved in outsourcing asset management services to third-party frms not owned by a government. For instance, external managers administer the equity and corporate fxed-income portfolios of Chile’s SWF. 8.6 THE CHANGING ROLE OF SOVEREIGN WEALTH MANAGERS Traditionally, sovereign wealth management seems to have concerned itself with saving up current and trade surpluses for the future. Perhaps a more structured approach to defning the role of sovereign wealth managers can be borrowed from the IMF’s Global Financial Stability Report produced in October 2007, at the start of the US subprime crises. The report provides the following taxonomy: stabilisation funds, savings funds, reserve funds, development funds, and pension reserve funds. 8.6.1 Stabilisation funds These are set up to cater for effects on inadequate diversifcation of national revenue sources, typically by countries endowed with natural resources. Surpluses from the trade of the natural resources are saved and called upon when national revenues decline, usually due to depressed commodity markets. A perfect example is the Economic and Social Stabilisation Fund (ESSF) of Chile, established in 2007 to provide fscal spending stabilisation by reducing dependency on the global economic and copper trading cycles. The ESSF is funded from the fscal surplus, net of allocations to the Pension Reserve Fund, and any residual public debt obligations. Periodically, budgetary constraints imposed by economic downturns are mitigated by a partial call from the fund, thus avoiding the accumulation of national debt. 8.6.2 Savings funds These are ‘intergenerational funds’ that are based on monetising existing natural resources for the beneft of both present generations and future generations. As observed by the IMF, these funds effectively transfer nonrenewable assets into a diversifed portfolio of international fnancial assets to provide for future generations or other long-term objectives. An example in this case is the Equatorial Guinea’s Fonds de Réserves pour Générations Futures (Funds For Future Generations) formed in 2002. While a full picture 220 Mbako Mbo and Charles Komla Delali Adjasi on the fund’s performance remains largely obscure, the government’s pronounced intention at the fund’s inception was to commit transferring to it 0.5% of its oil revenues for the beneft of the future generations. 8.6.3 Reserve funds Unlike the surplus-driven funds, which have tended to stabilise government budgets during times of constrained revenue infows, reserve funds are set up to pursue savings objectives, usually with increased latitude to actively pursue higher returns but still within the scope of a conservative risk appetite. According to the IMF, assets held under reserve funds count towards total fscal reserves and can be liquidated in times of need. A typical example is Botswana’s Pula Fund – established in 1994 and managed by the central bank of Botswana. The fund manages foreign exchange reserves that are more than what is expected to be needed in the medium term. Signifcant calls were made from the fund in 2001, when a Public Offcers’ Pension Fund was set up, and in 2008, due to a slump in national revenues that was induced by the global fnancial crisis of that time. 8.6.4 Development funds These are mostly development corporations, set up to pursue socioeconomic objectives. Typically, these corporations invest in projects with demonstrable development outcomes and in industries and sectors that do not have adequate private sector participation (mainly due to high risk but low returns). Increasingly, development funds are becoming vehicles for public–private partnership (PPP) transactions. Dubai Investment Capital (DIC), a subsidiary of Dubai Holding, is a corporate SWF with an investment strategy that incorporates well the concept of looking beyond fnancial returns for wider socioeconomic development. DIC played, and continues to play, a pivotal role in the development of the boating and marine sector in the UAE region through its investment in ART Marine Holdings. The company is also at the forefront of importing aerospace technology from the world into Dubai, through its investments. 8.6.5 Pension reserve funds These funds cater for pension liabilities, and the objective is often to ensure that pension liabilities always remain below funded assets without having to resort to some politically unacceptable mechanisms, for example cutting back on pension entitlements. The largest known SWF that can be classifed into this category is the Norwegian Government Pension Fund–Global, set up in 1990 to invest surpluses driven by a well-performing petroleum sector. Its stated mission is ‘to safeguard and build fnancial wealth for future generations’, and its AUM had accumulated an estimated USD1 trillion by early 2018. Therefore, the original objective of sovereign wealth management has really been to put aside, and grow over time, some fnancial assets to Chapter 8 • Sovereign wealth management 221 cater for a future occurrence. However, the evolution of sovereign wealth management has by itself infuenced a gradual evolution of objectives and consequently the role of sovereign wealth managers. Rapid wealth accumulation by SWF in surplus economies, which is at times way beyond precautionary levels, has attracted attention of critics given the transparency concerns around some of the larger SWFs. Modern-day sovereign wealth managers’ tasks are much broader, and they aremore proactive in nature; although traditionally SWFs have evolved in reaction to fscal surpluses, today SWFs proactively pursue the socioeconomic (and sometimes geopolitical) ambitions of their respective countries. Next we explore a suite of newer objectives of sovereign wealth managers, and this does not that claim any of the older objectives has been subordinated or replaced. 8.6.6 A role in the capital and fnancial markets Sovereign funds quite often have opportunities to operate a lean cost structure not riddled with debt issuance, service costs, and expected returns from equity holders. This is because SWFs are generally funded from state funds. In addition to this, sovereign funds are seldom operating companies; most take the form of investment-holding companies with lean operational structures. Compared to other fnancial institutions, the substantially lean cost structure of SWFs brings two possibilities, among others. First, a lower cost base allows SWFs to accept lower returns and sometimes in riskier investments that would ordinarily fnd it diffcult to attract purely private capital. Thus, SWFs are increasingly becoming an important source of capital for strategic or even risky investments with a huge potential on the upside. Second, SWFs generally do not have operational cashfow pressures, as a direct result of a low-cost base. This enables them to provide the much-needed capital in projects with a long payback profle. These are typically much-needed infrastructure projects in developing economies, and SWFs occasionally support these under some form of bilateral agreements. Third, sovereign wealth funds typically hold excessive relative liquidity, with increased capacity to withstand credit losses. This, coupled with the fact that SWFs have ‘patient capital’ (i.e. can invest in longer-term horizons for conservative returns), makes them crucial sources of liquidity in the wake of credit crunches and widespread fnancial crisis. What we saw in the aftermath of the 2007/2008 fnancial crisis is a case in point; when severe credit losses, combined with a slump in property prices, threatened the existence of large fnancial institutions, and consequently the global fnancial markets themselves, SWFs came to the rescue. Between 2007 and 2008, in the US alone, a total of 30 rescue transactions were recorded, wherein SWFs invested a combined USD40 billion in capital into fnancial institutions. SWFs such as Kuwait Investment Authority, Abu Dhabi Investment Authority, and Temasek injected capital, thereby acquiring stakes in banks like Merrill Lynch and Citigroup. 222 Mbako Mbo and Charles Komla Delali Adjasi 8.6.7 A policy tool In a rather controversial emerging practice by some nations, SWFs are gradually playing a policy role. Some SWFs have in recent times been relied on as vehicles through which countries adopt a carrot-and-stick approach to achieve their broader policy objectives, a practice that has attracted some scepticism and heightened calls for transparency. In 2008, the Chinese government, acting through its own SWF the State Administration of Foreign Exchange (SAFE), invested USD300 million of government bonds issued by Costa Rica. Following a constitutional court case, the Costa Rican government was compelled to release documents, initially meant to be confdential, that were widely interpreted to mean that China was investing in Costa Rican bonds, in order to open diplomatic relations between the two nations, in return for which Costa Rica was to cease its recognition of Taiwan. Interestingly, the purchase of the bonds was followed by Costa Rica’s swiftly cutting its long-standing diplomatic ties with Taiwan. Often geopolitical concerns seem to arise when SWFs act with less transparency, particularly with respect to their intentions. For policy intentions to be achieved, it is almost preconditional that the two or more nations involved are fully agreeable and all suspicion is erased. In 2006, Dubai Ports World (DP World, or DPW) attempted to acquire a British-owned company, which held seaport management contracts for six major ports in the US. Despite the US’s having been presumably comfortable with the ports remaining under a British-owned management company, the US Congress blocked the planned takeover, citing security concerns over the unknown intentions of the UAE. 8.6.8 Bilateral and multilateral international economic cooperation Despite the scepticism and geopolitical concerns that emerge when SWFs are projected as tools for policy objectives, documented cases show mutual benefts between nations whose SWFs engage in strategic cross-border investments. In fact, SWFs can perfectly enhance bilateral economic and development cooperation instead of igniting political apprehension and uncertainties. A well-cited case is the role of SWFs in the South–South cooperation, a phenomenon seen as a real game changer in replacing North– South Overseas Development Assistance (ODA) and foreign aid fows to south–south investments for mutual beneft. Under the auspices of the South–South cooperation, the China–Africa Development Fund (CAD), a Chinese sovereign fund, was formed in 2007 with an investment focus on Africa. As of 2018, CAD held no fewer than USD10 billion available for additional African investments. The fund’s existing portfolio, as of March 2018, was spread across 36 African countries in sectors that include energy, agriculture, manufacturing, and infrastructure. From this arrangement, CAD will achieve portfolio diversifcation, value growth for Chinese enterprises, and growth in exports. While otherwise, at least in theory, African states are to beneft from improved infrastructure, a gradual transfer of skills, and the importation of technologies. Chapter 8 • Sovereign wealth management 223 8.7 ASSET-LIABILITY MANAGEMENT IN EMERGING ECONOMIES A fundamental objective of sovereign asset-liability management (SALM) is to align investment strategies for identifed asset classes to characteristics of all known and contingent liabilities of the state, with particular attention to the characteristics of associated payment obligations. Sovereign wealth management should be considered an integral part of SALM; sovereign wealth management concerns itself with the excess of sovereign assets over short-term obligations (including development budgets), wherein such excess should be invested within a framework that supports the characteristics of medium- to long-term explicit and contingent liabilities. While it is prudent to maximize returns through sovereign wealth management, of course in well-defned and accepted risk parameters, it is equally key to ensure that resources are seamlessly available to meet budgetary obligations at minimal costs. Different sovereigns approach SALM in a number of evolving ways, but falling mainly under either a full or a partial SALM implementation. According to International Monetary Fund6 guidance, a partial approach to SALM would typically entail matching currency mix and durations of portions of their portfolios with the aim of reducing currency and interest rate risks. A full approach to SALM is more integrated in nature, where a sovereign balance sheet is created as the centre, and hence focus, of ALM, on sovereign risk management practice. This is often referred to as the balance sheet approach to ALM. The challenges faced by emerging economies in sovereign asset and liability management make the balance sheet approach both appropriate and diffcult to implement at the same time, symbolising the amount of work needed by such economies to achieve optimal ALM. Although registering some improvements in the recent past, emerging economies have been riddled with inadequately disclosed sectorial interdependences, undiversifed and volatile revenue streams, the inadequate disclosure of liabilities, weak fnancial management controls, and a lack of reliable data on the value of unexplored natural resources – a key driver of wealth. Classical cases of weak fnancial controls and inadequately disclosing liabilities were widely reported in Malawi (2013) and Mozambique (2014) respectively. The credibility of government fnancial reports was under a spotlight in Malawi after the discovery of the looting of cash resources by government employees and private companies in September 2013. A British government–sponsored investigative audit revealed that for the six months covered, an estimate USD32 million was syphoned from government accounts, including substantial amounts claimed by private entities for works not done or goods and services not supplied. In 2013 and 2014, public managers in Mozambique issued sovereign guarantees worth over USD2 billion to Credit Suisse and VTB Bank to cover loans to state-linked companies Ematum, Proindicus, and Mozambique Asset Management. These guarantees, which made the loans possible were later ruled to have been illegally issued and thus labelled illicit because they violated budget law guarantee ceilings. In April 2018, there were mounting 224 Mbako Mbo and Charles Komla Delali Adjasi fears that although the Zambian government was disclosing a fgure of USD8.7 billion as its external debt, the correct fgure could be double that amount, prompting an audit by the IMF, according to a Bloomberg7 release. The inadequate disclosure of public assets, surprisingly, is a growing concern among emerging economies. The major source of such concerns is the subject of this topic: sovereign wealth funds. For instance, the SWFI adopts the Linaburg–Maduell transparency index to gauge transparency among its members, and a worrying number of them score 5 or below out of 10, and many of them have no scores assigned to them, because they just don’t provide information on the assets they own. These and many others are real issues that continue to undermine the strength of the balance sheet approach to SALM and demonstrate the need for genuine political commitment in optimising a risk-based approach to the management of sovereign assets and liabilities. Nonetheless, in this chapter, we centre our SALM discussion on the balance sheet approach. Table 8.1 is an outline of a typical balance sheet of an emerging economy sovereign. FIGURE 8.12 A typical sovereign balance sheet Assets Liabilities Financial assets Deposits and cash balances – Local currency – Foreign currency Securities (bonds, stocks and treasury bills) Loans issued Long term investments – Reserves – Sovereign wealth funds – Pension funds Receivables & profits – Interest on loans – Taxes – Fees & commissions – Seigniorage – Royalties – Dividends Financial Liabilities Statutory expenditures – Public service emoluments – Other public Administrative expenditure – Loan service repayments (including interest payments) Development expenditure Balances – Bonds and Loans – Monetary Base (multiple currencies) – Pension liabilities Nonfnancial assets Infrastructure Real estate State-owned enterprises Contingent Liabilities Guarantees issued Insurance, pension, and derivative liabilities Natural disaster relief Contingent assets Insurance Guarantees in favour Unexplored natural resources Net worth Chapter 8 • Sovereign wealth management 225 As mentioned earlier, SALM is really an integrated approach to managing sovereign fnancial risk, and in his approach to crafting a conceptual sovereign balance sheet based on a framework proposed by Merton (2007), Mr Andre Proite,8 then investor relations manager at the Brazilian National Treasury, identifes facets of a sovereign balance sheet that introduce certain classes of risk: • Foreign currency risk – currency deposits, currency payables, and loan balances. • Interest rate risk – infrastructure/developments, loans, and bonds outstanding. • Infation risk – seigniorage (and government administration). • Aging population risk – pension liabilities. Having dissected a typical sovereign balance sheet and highlighted typical risk classes, we next consider some practical implications of a conscious approach to managing the assets and liabilities of a sovereign. 8.7.1 Managing sovereign assets – issues to consider Managing sovereign assets requires an integrated risk-based approach that among other things synchronises investment objectives to characteristics and profles of liabilities. An important balance to strike is that of maximising returns on the asset portfolio in a given risk appetite but still minimising the cost of funding budgetary needs of the state. Given the risk intricacies inherent in portfolio structuring, including asset allocation as well as fnancing government liabilities in a long-term horizon, a lot of risk simulation goes along with the management of sovereign assets in order to achieve an optimised portfolio structure. Approaches to optimising portfolio structures are evolving, alongside lessons learnt from economic downturns. However, the mean-variance approach (Markowitz, 1952) continues to be a corner stone for variants in building optimal portfolio structures for both sovereigns and nonsovereigns. The mean-variance approach simulates maximum possible returns in certain risk variables and policy constraints like liquidity, balance of payment targets, and capital protection. Complementing the mean-variance approach is the value at risk (VaR), which extends the outcomes from the former by building in simulations of volatility embedded in targeted portfolio returns. As we stated earlier in this chapter, volatility is of a great concern in managing targets around portfolio returns more so that negative returns might as well positively correlate with economic downturns – hence the wide adoption of the VaR approach to portfolio structuring. Equally important, liquidity targets and respective timing approaches should not be too stringent as to introduce unnecessary opportunity costs. Unnecessarily high liquidity thresholds may also induce certain risks, particularly where foreign currency balances are involved. Liquid assets in a sovereign asset portfolio should be held in consideration of liabilities of commensurate tenures, and care is always given to ensure government budgetary 226 Mbako Mbo and Charles Komla Delali Adjasi needs are met at minimal costs. In this regard, the cost-at-risk approach is used normally as a supplement to the mean-variance approaches adopted in optimising debt profles, which is carried out in a SALM approach, hence having a signifcant bearing of the profle of the asset portfolio. The cost-atrisk is a gross measure (i.e. it includes both the cost of risk itself and the costs incurred because of a crystallised risk event). Risk governance and the strength of public fnancial management controls are variables never to be downplayed in managing sovereign assets. There are the broader issues of risk appetite and how it is arrived at, political commitment to full disclosure, commitment to transparency, and in some cases acts of criminality. The reality is, a substantial part of a given pool of sovereign assets will typically be of a long-term horizon spanning through political cycles and administrations. Uncoordinated and inconsistent changes to risk appetite, investment strategies, and liability priorities arising from evolutions in administration may easily have signifcant bearing on portfolio performance. Lack of full disclosure at times of exchanging political power can also easily upset SALM implementation, as was with the Mozambican case we cited earlier. 8.7.2 Managing sovereign liabilities – issues to consider A signifcant portion of sovereign liabilities is often debt (i.e. government borrowings). Debt levels are often capped at a certain level, although a debate still rages on concerning what this level should be. Most importantly from a SALM perspective, a good debt management strategy should entail a trade-off between low cost of debt and level of risk (various types), and the cost-at-risk approach discussed earlier applies here. Debt is generally acquired primarily to take care of a budget defcit, typically to fund development budgets. However, there are other objectives that SALM technocrats ought to be aware of. A sovereign may opt to borrow in local currency (which is often pricier in emerging economies) just to support the development of local capital markets. Local bonds, for instance, are often referred to when setting pricing benchmarks for private issuances and a sovereign may feel the need to consistently maintain issuances to establish reliable price curves for various tenures. On the other hand, the need to raise signifcant amounts of debt in local currency may be met by an insuffcient debt capital market depth – a common feature in emerging economies, particularly low-income and medium-income countries. These intricacies extend the environment of managing sovereign debt beyond asset considerations to include other policy objectives. An integrated approach to SALM should ensure that in managing a pool of sovereign assets and value accretion thereof, there is a constant projection of growth in liabilities, both explicit and contingent (see Maziad & Skancke, 2014). The risk being managed here is a situation wherein value of asset portfolio falls short of accrued liabilities over time, net of targeted reserve thresholds. The biggest setback in incorporating contingent liabilities in a SALM environment, as we stated earlier in this chapter, is assigning a reasonable value to them. Despite this, a number of countries have begun actively accounting and fully disclosing contingent liabilities by using the Chapter 8 • Sovereign wealth management 227 best reliable estimates, the most common being the practice of accounting for debt guarantees issued by government as part of government borrowings, and counting these towards debt/GDP statutory thresholds (Chile, Mozambique, Turkey, Botswana, and South Africa). Some contingent liabilities are explicit in that the state becomes legally bound to make good of them once a particular event happens; examples are debt guarantees issued and obligations under insurance contracts, typically trade and export credit. A prudent approach is to factor in maximum possible payout into the total liability pool. However, there are also some liabilities, which are implicit in nature, normally those that governments are bound due to either policy consequences or a moral duty to make good on. Examples are disaster relief, corporate bailouts to avert wider economic impacts of market failures, and the assumption of liabilities sitting with state-owned enterprises (SOEs) (typically privatisation targets). It is not uncommon for countries to set up funds against some of the implicit liabilities, but such funds must be managed as part of sovereign pool of assets to permit full disclosure, although this is not always the case. 8.8 ASSET ALLOCATION AND RISK MANAGEMENT FOR SOVEREIGN WEALTH FUNDS The modern portfolio theory, or MPT (Markowitz, 1952), is often a good starting point in discussing the construction of an investment portfolio through a risk conscious approach to asset allocation. MPT assumes that returns and volatility can be optimised and minimised respectively if an investment portfolio is effciently diversifed. However, the extent to which MPT holds true, particularly beyond one period, has been under the spotlight in recent times, as data from the real world does not necessarily correspond to MPT-based simulations. Portfolio construction in an SWF is often not a straightforward undertaking. SWFs invest for extended time horizons, often seeking value accretion beyond aggregated short-term returns (Chee, 2011). In addition, SWF objectives may not necessarily be all return based; earlier in this chapter, we pointed out the following as some of the common broader objectives pursued by SWFs: stabilisation, development, equalisation, policy and political strategies, and bilateral cooperation. All these factors have a signifcant bearing on asset allocations by SWFs, and diversifcation motivated under the MPT is often fawed. For example, a state may decide to hold onto some strategic investments through SOEs, which then results in a signifcantly skewed portfolio. Similarly, the China–Africa Development Fund we mentioned will never, by design, achieve a truly geographically diversifed investment portfolio typical of an international investor. Further, some ‘investment’ decisions by SWFs are reactionary in nature, often taken in the interest of wider economic and market concerns, just as SWFs are used as vehicles for corporate bailouts and market stabilisations. In the working paper ‘Optimal Asset Allocation for Sovereign Wealth Funds: Theory and Practice’, Bondie and Brière (2013) attempted to show that an ‘an optimal composition of sovereign wealth should involve a performance seeking portfolio and three hedging demand terms for the 228 Mbako Mbo and Charles Komla Delali Adjasi variability of fscal surplus and external and domestic debt’. Such a view underscores the broader nature of sovereign wealth investment objectives. Simulating past trends on SWF investment portfolio performance, as well as their structures, currently proves a nearly impossible task given the secrecy around their investment decisions. Real risk taken by SWFs and losses incurred are not suffciently appreciated. However, some cases tend to demonstrate the intricacies involved in SWF asset allocation. The Norway Pension Fund–Global (GNPFG), as an SWF, made a signifcant 26% return on its portfolio for 2009. This was after a 2007 decision to take up more risk, signifed by an increase of equity component of GNPFG’s benchmark portfolio from 60% to 70%. In a study on GNPFG’s asset allocation, Papaioannou and Rentsendorj (2015) cast doubt on its effciency, on the basis of the effcient frontier expectations, although they accepted a broad conformity to Markowitz’s single-period model. Quite usefully, the authors point out two key features that can be attributable to GNPFG’s portfolio performance: fexibility in asset allocation decisions and the ability to design a countercyclical portfolio. The issue of fexibility is almost embedded as a need rather than a reality in the case of SWFs. We have highlighted cases where a reaction is expected from an SWF to ‘save’ the economy or markets, as was the default position with Western banks bailed out by Asian SWFs at the height of the 2007/2008 fnancial crisis. This is achieved with a suffcient degree of fexibility. As demonstrated by GNPFG’s case, a countercyclical portfolio plays a key role in some of the SWF core mandates, particularly for those that aim for the stabilisation of revenues and the diversifcation of revenue sources. Finally, it remains diffcult for SWFs to evade some real constraints in achieving an optimal asset allocation in an ordinary sense of return-focused investments. To start with, an SWF-specifc effcient frontier is diffcult to ascertain given the lack of transparency and information asymmetry concerns around SWFs; a benchmark is almost impossible to agree on. Referring to nonsovereign investments for benchmarking is often possible but undermined by the reality that the acceptability of assets, risk levels, and geographies in the case of SWF investments is a decision beyond pure economics. Ultimately, a countercyclical portfolio, with regular assessments supported by adequate periodic assessment and rebalancing could achieve better results. 8.9 CHALLENGES AND OPPORTUNITIES OF SOVEREIGN WEALTH FUNDS SWFs are faced with a plethora of signifcant challenges, mostly pointing to inadequate transparency and political undertones. The political uncertainties tend to correspond to the disruptive nature of SWFs to the ‘normal’ world economic order, mainly as SWFs continue to penetrate markets of core economies. This could potentially give rise to geopolitical tensions. In an address to the International Centre for Monetary and Banking Studies, in Geneva, in December 2007, Mr Philipp Hildebrand, the then vice-chair of the governing board of the Swiss National Bank discussed what he terms a ‘vicious cycle of fnancial protectionism’. Mr Hildebrand associated such a cycle with a policy reaction that would generally be aimed at protecting the Chapter 8 • Sovereign wealth management 229 world economic order as we know it, but facing the disruptive variant that SWFs are, mainly due to three main occurrences: 1 The reversal of gains made in diluting government’s role in world economy – the gains have been in the strength of a gradual liberalisation and deregulation of global economic structures. Large statebacked SWFs are seen as largely confusing an evolving (and perhaps desired) pattern of capital fows based on economic forces. 2 The long-held rational view that capital fows in search of optimal riskadjusted returns is challenged – SWFs have made capital allocation decisions involving investments that tend to challenge the notion that the maximisation of returns (within set risk parameters) underpins the free fow of capital. Blurred transparency only exacerbates the problem, more so that SWF investments are mostly in foreign territories, and intentions are not necessarily declared publicly. One question that has been asked, and that remains inadequately addressed is, why did the Norwegian Investment Fund short sell bonds of banks in Iceland? 3 SWFs change the traditional pattern of capital fows, which has been from core regions of the world to the peripherals; the IMF and World Bank in particular have been conduits for the fow of capital from the developed countries to emerging economies, including poor states. Among other forms of fows, developmental loans and relief funds have been channelled mainly to Africa, Latin America, and parts of Asia to develop infrastructure, support social amenities, and make economic reforms. However, in the advent of SWFs, this is changing, with signifcant capital fows from emerging economies into advanced ones. SWFs in Southeast Asia and Middle East, among others, have wellknown investments in the US. Beyond the reversal of the norm of capital fows from the core to peripherals, SWFs are becoming an important vehicle for the fow of capital between the peripherals themselves. The South-South cooperation involves a lot of capital and technology fows between countries formerly viewed as peripherals, wherein a Chinese SWF, the CAD, plays a pivotal role in the fow of capital from China to Africa. The BRICS bank could be viewed in the same light as well. The challenges of SWFs are not limited to the economic and fnancial protectionism possibilities; as we outlined earlier, there are other problems of signifcance surrounding them, perceived or real. 8.9.1 Information asymmetry SWFs are still seen as largely lacking in transparency, particularly with respect to the areas of capital fows, investment objectives, and intentions given their state backing. This has come under the spotlight when investments were made, but with no obvious fnancial returns, as would be expected under cross boarder capital fows norms. Elsewhere in the chapter, we cited cases involving DP World and Norwegian Investment Fund, among the many investments that raised suspicion. The Linaburg–Maduell transparency index is a tool adopted by the Sovereign Wealth Funds Institute 230 Mbako Mbo and Charles Komla Delali Adjasi to issue periodic rankings of member SWFs’ transparency, measured by the level of information disclosure. This came about amid concerns of perceived unethical agendas. 8.9.2 A threat to fnancial stability SWFs generally cause the fow of funds across global economies, chasing investments with longer-term horizons. This means that their cumulatively signifcant investment at the global scale can absorb short-term market shocks and lead to longer-term stability in market prices. However, the Financial Stability Forum9 observes a problem on the fip side of the coin: SWFs are largely opaque in their structures, objectives, and performance. With little to no level of public accountability (Wong, 2009), the IMF argues that SWFs may change their governance structures and investment policies, including asset allocation decisions, just to conceal their failures. Given the volumes that SWFs deal with, serious instability in the global fnancial market may ensue (Jory, Perry, & Hemphill, 2010). 8.9.3 Market and asset pricing distortions Two distinct variables make SWFs a threat to market stability and rationality in asset pricing: the sheer size of their investment fows, backed by state funds, and their tendency to make investments at prices not determined by market forces. As observed by Anthony Wong in the Brooklyn Journal of International Law in 2009, under the theme ‘Ruling the World: Generating International Legal Norms’, SWFs operate with limited liabilities and usually face inadequate calls for accountability. It may then follow that SWFs tend to have an increased latitude to take up disproportionate risks in investments of scale, with a potentially large impact to the markets (Wong, 2009). Unfortunately, the artifcially set asset prices for a given risk scale would then infuence key decisions in the larger markets, wherein return chasing investments become wrongly priced. 8.10 THE SANTIAGO PRINCIPLES SWFs have historically attracted controversy, critics expressing a lack of transparency, inadequate accountability, and obscured governance structures. Heightened scepticism derive from the decisions of some of the world’s leading SWFs during the 2007/2008 fnancial crises, which involved their buying into foreign fnancial institutions, among others. In response to the growing concerns, the IMF convened a working group specifcally to address the transparency, governance, and accountability of SWFs. However, the principles are a set of what can be seen as generally accepted code and are voluntary in nature. The implementation of them is left entirely up to the subscribing SWFs, with no real consequences for not implementing them. The principles aim to offer a reference point for the adopting SWF’s, guiding them towards operations and investment decisions that seek to optimise risk-adjusted returns. This then deals with concerns surrounding questionable investment decision typically seen as being politically motivated. The 24 principles are grouped into three parts, as shown in Figure 8.13. Chapter 8 • Sovereign wealth management 231 FIGURE 8.13 Components of the Santiago SWF principles Brief description Part A Legal framework, objectives, and coordination with macroeconomic policies Part B Institutional framework and governance structure Part C Investment and risk management framework Member SWF are guided to publicise their legal structures and framework, their policy mandate, and their funding arrangements. Member SWFs are required to set up sound governance structures, clearly articulating the division of roles and accountability among stakeholders. At the centre of these provisions is an expectation that government, as the owner, should limit its interference in the operations and investment decisions of SWFs. SWFs are required to have in place robust investment and risk management frameworks and to disclose their investment policies. They are also expected to disclose their strategic-asset allocations and any investment decisions that are not based on economic and financial considerations. 8.11 CONCLUSION The concept of managing sovereign wealth in a fund setup dates back to the 1950s, with its genesis commonly traced to oil-rich states in the Persian Gulf region. Trade surpluses, mainly linked to oil exports, have traditionally remained the key source for ‘seed capital’ among governments that set up SWFs. However, as the concept gained popularity over years, nations started seeing sovereign wealth funds, as they became known from the early 2000s, as a real opportunity to either stabilise national revenues or diversify them. Apart from revenue stabilisation (or equalisation), SWFs also take the form of development, saving, or reserving funds, and oil no longer dominates as the major source of seed capital, although natural resources and minerals still do. Institutional arrangements among SWFs differ, including a fully fedged institution with its own governance and management structures and a desk-based operation hosted by a sponsoring government ministry or a central bank. The precise structure depends on the mandate, approach to investment, and risk appetite, whereby SWFs with a mandate to implement investment projects as part of their mandate and carry a higher risk appetite in return for chasing higher returns would typically have fully fedged institutional structures. However, SWFs with no implementing 232 Mbako Mbo and Charles Komla Delali Adjasi mandates and lower risk appetites and return targets would normally be hosted in the institutional setup of a hosting government ministry or central bank. SWFs have their own signifcant challenges, mainly cantered on geopolitical themes, including the reversal of gains made in diluting the role of governments in the world economy, the backwards fow of funds from core to peripheral economies of the world, and information asymmetry related to investments made on no apparent economic and fnancial considerations. Beyond geopolitics, SWFs are frequently criticised for distorting market asset prices and generally considered a threat to global fnancial stability. Perhaps the manifestation of SWF challenges lies with their perceived lack of transparency and weak accountability obligations, and in response to these, an IMF-convened working group concluded a set of 24 Generally Accepted Principles and Practices in 2008. The principles aim to offer a reference point for the adopting SWFs, guiding them towards operations and investment decisions that seek to optimise risk-adjusted returns. The principles offer comprehensive guidance on three broad areas: 1 Legal framework, objectives, and coordination with macroeconomic policies. 2 Institutional framework and governance structure. 3 Investment and risk management framework. To a great extent, these principles can be seen as dealing with concerns around the possibilities of politically motivated investment decisions. Discussion questions 1 ‘Historically, SWFs have predominantly been a result of a reactive approach by governments with surpluses of one form or another, but this has since changed’. Please discuss, with examples. 2 The 2007/2008 global fnancial crises brought to the fore the fundamental challenges SWFs pose to the global geopolitical economy. Certain transactions left many with more questions than answers. Please elaborate. 3 The Santiago Principles aim to address fundamental concerns on governance and transparency of SWFs, and they are divided into 4 5 6 7 three distinct parts. Please discuss any two principles, under each part with examples. Outline and fully discuss, with practical examples, various forms of SWFs and how governments use them as vehicles for economic advancement. Why are SWFs criticized for distorting market asset prices and global fnancial markets? Discuss any three emerging roles of SWFs. What are the key considerations for SWFs that are making assetliability management decisions? Chapter 8 • Sovereign wealth management 233 Notes 1 Sovereign Wealth Fund Institute. 2 Wharton Leadership Centre: ‘The Brave New World of Sovereign Wealth Funds’. 3 The term ‘sovereign wealth fund’ is associated with the work of Andrew Rozanov, a senior manager, Official Institutions Group at State Street Global Advisors. 4 International Monetary Fund (2007, October). Global fnancial stability report 2007. Washington, DC: Author. 5 The Sovereign Wealth Funds Institutes lists 78 members as of February 2018, but there are other (typically smaller) funds that are not members of the SWFI. 6 IMF Sovereign Asset Liability Management Guidance for resource-rich economies, 2014. 7 Bloomberg (April 2018). Zambia’s ‘Unknown’ Debts Face Scrutiny After Mozambique Scandal. 8 A. Proite Asset Liability Management in Developing Countries: A Balance Sheet Approach 2014 (A modifed from a UNCTAD sponsored original article ‘Strengthening Capacity for Effective Asset and Liability Management’. 9 Financial Stability Forum (19 May2007). Update of the FSF report on highly leveraged institutions. Basel: Bank for International Settlements. Retrieved from www. fsforum.org/publications/. References Awanzam, T., & Okudzeto, E. (2018). Africa economic outlook (2018 ed.). African Development Bank. Retrieved from https://www.afdb.org/fleadmin/uploads/afdb/Documents/ Generic-Documents/country_notes/ Ghana_country_note.pdf Bondie, Z., & Brière, M. (2013). Optimal asset allocation for sovereign wealth funds: Theory and practice. Amundi Working Paper. Paris: Dauphine University, Université Libre de Bruxelles. Chee, F. P. (2011). Portfolio construction and risk management for sovereign wealth funds. Toronto: CFA Institute, CFA Society. Cheung, Y. W., Steinkamp, S., & Westermann, F. (2013). China’s capital fight: The pre- and post-crisis experiences. Unpublished manuscript. Retrieved from www.cb.cityu.edu.hk/ef/doc/ 2 0 1 5 % 2 0 C o n f e re n c e % 2 0 o n % 2 0 the%20New%20Normal/Frank%20 Westermann(1).pdf Dixon, A. D. (2016). The rise, politics, and governance of African sovereign wealth funds. The Brown Capital Management Africa Forum Paper No. 3. Washington, DC: Wilson Centre. John, J. D. (1998). Conceptualising the causes and consequences of failed states: A critical review of the literature. Working Paper No. 25. Crisis States Research Center. Retrieved from https://www. fles.ethz.ch/isn/57427/wp25.2.pdf Jory, S. R., Perry, M. J., & Hemphill, T. A. (2010). The role of sovereign wealth funds in global fnancial intermediation. Hoboken, NJ: Wiley Periodicals. Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. Maziad, S., & Skancke, M. (2014). Sovereign asset-liability management- guidance for resource -rich economies. Washington, DC: International Monetary Fund. Merton, R. C. (2007, November). Observations on sovereign wealth fund, 234 Mbako Mbo and Charles Komla Delali Adjasi reserve, and debt management: A country risk management perspective. Luncheon Address at the First IMF Annual Roundtable of Sovereign Asset and Reserve Managers, Washington, DC. Papaioannou, M. G., & Rentsendorj, B. (2015). Sovereign wealth fund asset allocations – some stylized facts on the Norway Pension Fund–Global. Procedia Economics and Finance, 195–199. Salah, I. (2010). The effects of fnancial crisis on the middle East. The Global Law Review, 99. Retrieved from https://engagedscholarship.csuohio.edu/gblr/vol1/iss1/7 Shabbir, T. (2009). Role of the middle Eastern sovereign wealth funds in the current global fnancial crisis. Topics in the Middle Eastern and African Economies, 11. Wong, A. (2009). Sovereign wealth funds and the problem of asymmetric information: The Santiago principles and international regulations. Brooklyn Journal of International Law, 1081, 1098–1102. World Bank. (2013). Economic developments and issues shaping Angola’s future. Angola Economic Update 1. Luanda: Author. Retrieved February 15, 2020, from www.opec.org/ opec_web/en/data_graphs/40.htm; www.swfinstitute.org/profiles/ sovereign-wealth-fund. CHAPTER 9 Sovereign debt management Amin Karimu, Vera Fiador, and Imhotep Paul Alagidede 9.1 INTRODUCTION Generally, governments all over the world fnance their expenditures via a menu of sources, which include tax revenues, seigneuries from the central bank, charges and fees on publicly provided goods, and services such as tolls, profts from state enterprises, rents from natural resources, and borrowing from both internal and external fnancial markets. Over the 1970s and 1980s, most developing countries, including those in Africa, increased their external debts,1 which was as a result of many factors, including the emergence of the Eurodollar market2 due to the surplus revenue generated from high oil prices by oil-rich countries, low interest rates, and a generally favourable world environment. Shortly, the accumulated external debt levels started increasing and rose to high levels for most African countries that have taken too much debt without a prudent debt management3 plan. This, coupled with the rising interest rates during this period, implies higher cost of debt servicing,4 which further increased the debt levels of these countries to a crisis level (Abrego & Ross, 2001; Barro, 1989; Clements, Bhattacharya, & Nguyen, 2003). The high levels of debt accumulated by many developing countries in the early 1990s resulted in two debt-relief programmes: the Heavily Indebted Poor Countries Initiative and the Multilateral Debt Relief Initiative. These programmes, by the end of 2008, helped reduce the debt level, especially for countries in sub-Saharan Africa (SSA), by about two-thirds, which helped some of the countries, such as Ghana, to start experiencing good and appreciable levels of growth in the short term. The gains from the debt-relief programme is fast eroding for the subcontinent (SSA) after the 2008 fnancial crisis. For instance, available statistics from the IMF (2018) indicate that gross government debt to gross GDP (gross domestic product) for SSA in 2000 was 68%, which reduced to 23% by 2008, helped by the relief programme. Since 2008, the ratio of debt to GDP has be rising, and in 2016, it doubled the 2008 value, rising to 44%. This fast-rising debt level has almost wiped out half of the reduction from 2000 to 2008. In percentage terms, the 2016 debt-to-GDP ratio over the 2008 value is about 91%, within a period of just nine years, implying that the average debt level is rising by 2.3% per year, which is far more than the average GDP per capita growth of 1.2% 236 Amin Karimu et al. over the same period, on the basis of statistics from the World Bank Word Development Indicators (2018). The reasons for the high debt problems in the 1990s and in recent years are multifaceted, driven generally by the improper management of borrowed funds and poor domestic resource mobilization. The focus of this chapter is on the borrowing component of government fnance, especially the external borrowing component with regard to its effcient and effective management in order to avoid issues such as insolvency (a state in which the central government is unable to pay its debts on time as stipulated in the borrowing contract) of the central government, particularly for developing and emerging countries. Over the years, available statistics from the IMF have shown that governments in developing countries, especially those in Africa, tend to spend signifcantly on nonproductive sectors relative to productive sectors. For instance, government expenditure on the component denoted ‘other’, which includes government spending on fuel and energy, mining, manufacturing, construction, subsidies, and general administration account for more than 50% on average, whereas in the case of agriculture, it is less than 7% over the past two decades (Fan, Omilola, & Lambert, 2009). According to Fan et al. (2009), a bulk of the expenditure in the ‘other’ component typically goes to government subsidies and expenses relating to general administration. This, among other things, suggests that the increasing share of this component may be crowding out spending on more-productive sectors, such as agriculture, education, and infrastructure development. These sectors are likely to promote growth and development, which make it easier to repay the borrowed funds. Additionally, most developing countries tend to have fewer domestic-income-generating sources for fnancing capital-intensive investment projects that require long-term debt fnancing sources if the country does not have the required reserves to fnance such projects. This is due to the less developed capital markets in these countries, implying that they rely mostly on external borrowing to fnance such projects. Such debt fnancing becomes an issue for the overall debt stock if a signifcant proportion of the overall public debt comes from external debt. In most cases for most of the developing countries, such debts generally attract interest rates above the world interest rate, due to a combination of factors, such as poor macroeconomic fundamentals, poor external assets, volatile commodity prices, and the level of accumulated debt. The structure of the chapter is as follows. The next section presents a brief overview of debt management in developing countries; the link between external debt and economic growth is presented in section 9.3; and in section 9.4, the institutional framework for government debt management is presented. Furthermore, section 9.5 provides a discussion on renegotiating debt contracts, before moving on to discuss debt-relief policies in section 9.6, designing incentives in section 9.7, sovereign debt restructuring in section 9.8, and a risk management framework for a government debt portfolio in section 9.9. The chapter concludes with a section on debt sustainability analysis and medium-term debt strategy (section 9.10). Chapter 9 • Sovereign debt management 237 9.2 OVERVIEW OF DEBT MANAGEMENT To run a country effciently, the government needs money to fnance its expenditures. The source of government funding is mainly from taxes. However, when government expenditure outweighs the income received from taxes, it runs into defcits. To avoid this, it has to either increase taxes or reduce expenditures. Both of these options have serious implications for the economy. A third option is for government to borrow from both internal and external investors or grants from other countries. This perhaps is the most likely option for most governments in the developing world, since they are able to borrow to support their fnancing gap due to the low domestic-resource-mobilization5 possibilities. Borrowing from external investors mirrors the concept of external debt. External borrowing thus permits a country to produce and consume far beyond the constraints of its current domestic resources. This in effect accelerates the development of a country if well managed by investing in projects that generate enough returns to fnance the borrowed funds. The downside to this is that once a country borrows externally, it has to be wary of debt management as a creeping policy concern, especially if the funds are mismanaged. Sovereign debt6 management, in simple terms, covers how to ensure that the level and growth rate of public debt is sustainable. This, among other things, implies the ability to service the debt under a varied range of circumstances, such as increasing the cost of servicing the loans due to worsening domestic currency against foreign debt-denoted currencies, exposure to fnancial risk from foreign countries, and interest rate risk.7 A key objective of debt management is sustain public debt related to fnancing government activities in the economy, in ways that the source of raising the needed fnance, including both domestic borrowing and foreign borrowing, does not generate excessive cost and risk that creates problems in the domestic economy. The adverse effects of borrowing with regard to debt management is of prime interest. This is because most of a government’s expenditures are used in providing social services, which do not readily offer monetary returns. Thus, there is a high tendency for the government to default in payment of debt if the menu for servicing the debts are not planned and executed according to established guidelines. This means that a government is obliged to engage in further excessive borrowing. The consequence implies surges in interest rates, which of course burdens government with additional responsibilities. Obviously, these responsibilities include paying the increased outstanding debt and the need to boost local production capacity and increase exports in order to curtail such debts (both internal and external). The tendency of such defaults is high with small open economies that have limited sources to raise fnance and that are highly dependent on raw materials and nature for their economic growth8 and development. The varied nature of economic growth, coupled with the limited sources of generating revenue, suggests a high-risk premium for such countries borrowing from the international capital market, which, among other consequences, increases the cost of their public debt. 238 Amin Karimu et al. Heavily indebted countries are most vulnerable to these shocks (interest rate shocks); consequently, affrmative actions in renegotiating and restructuring debt contracts or in some other circumstances are needed, to provide debt relief for defaulting countries. With regard to sovereign debt, the absence of collateral – or perhaps the diffculty to take hold of such collateral – requires that some alternative threat be mandated to incite or create incentives to repay the debt. More importantly, it requires measures that will reduce the risk exposure of public debt to various macroeconomic and political shocks. 9.3 EXTERNAL DEBT AND ECONOMIC GROWTH One of the key components of public debt is the share of external debt in total debt. In the early 1970s, after the frst oil crisis, many countries considered external borrowing, both from bilateral sources and from multilateral sources, as a cheap and prudent way for countries with low domestic fnancial capacity to fnance big capital projects in the quest to grow and develop their respective countries. Most developing countries tend to have low domestic fnancial capability and require high capital-intensive projects to facilitate economic development. The high levels of debt accumulated by many developing countries in the early 1990s resulted in an increase in research on external debt and economic growth, especially after the Mexico peso crisis in 1994, which sparked several questions: 1 At what level does external debt become a concern for economic growth? 2 What is the nature of the relationship between economic growth and external debt? 3 What are the channels via which external debt impacts growth? We will present the discussion along these questions, where we try to answer them by providing previous empirical studies to support the discussions. 9.3.1 External debt and economic growth At what level external debt becomes a concern for economic growth depends on three broad factors: level of external debt–to-GDP ratios, low primary surplus,9 and varying borrowing cost, which are supported by the debt-overhang hypothesis. 9.3.1.1 EXTERNAL DEBT–TO-GDP RATIOS In general, the ratio of government debt to GDP above 60% is considered problematic for most countries and even considered dangerous if it is above 100%. These numbers, however, vary depending on how the market thinks about a country’s risk of insolvency and consequently the cost of the debt via the interest rate charge as a refection of the risk level. For instance, in the case of countries in the EU, public debt close to 100% of GDP is considered high risk, and markets will react by increasing the interest rates for supplying debt to such countries. Chapter 9 • Sovereign debt management 239 Whereas in the case of Japan, even at ratios above 200%, the market does not consider Japan to be at high risk of insolvency and is still willing to supply debt at lower interest rates. For most developing countries, the ratio of debt to GDP that fnancial markets consider to be a high risk level of insolvency is even lower, more so for external debt. This suggests that the ratio of external debt to GDP that is considered a problem for growth depends on a country’s macroeconomic fundamentals, such as external asset level, fscal space, the saving culture, the willingness to buy government bonds at lower interest rates by the country nationals, and the perception of the country’s fnancial markets’ risk of insolvency. Japan, with huge external assets and individual Japanese people willing to buy government bonds at low interest rates rather than consumption, attracts a more favourable perception by the fnancial markets on its risk of insolvency than does Greece, for instance, irrespective of the high debt-to-GDP ratio recorded in Japan (250%) relative to Greece (177%) provided by the IMF (IMF, 2017). 9.3.1.2 LOW PRIMARY SURPLUS The sovereign debt of a country is generally considered unsustainable if the debt-to-GDP ratio is projected to grow without limits, given the country’s current policies and economic fundamentals, summarised by the primary surplus of the country. The primary surplus is infuenced by three key factors: the amount of revenue the government receives, interest rate at which the government can borrow, and the types of expenditures. The levels of these three aspects of the primary surplus determine the level of the surplus and whether that level is consistent with the level needed to stabilise the debt-to-GDP ratio. 9.3.1.3 VARYING BORROWING COST The cost of the debt is another factor that determines the likelihood of exposure to debt crisis. The cost of borrowing varies across countries and across time. These variations determine the likely risk a country will face with respect to fscal crisis and consequently debt crisis relative to other countries and over time. There are two key determinants of the variation in borrowing cost across countries and over time. The frst factor is the interest rate paid on government bonds and loans, and the second is the maturity of the loans. These two factors are also infuenced by the country’s macroeconomic fundamentals and assets. Countries with good macroeconomic fundamentals are likely to borrow at favourable world interest rates, which implies a lower burden on current growth with regard to debt servicing. The relatively favourable interest rates are infuenced by the lower default risk that the good macroeconomic fundamentals reveal to the fnancial markets. For instance, Spain can borrow at interest rates that are much lower relative to Ghana, due to the difference in repayment risk, which is infuenced by the country’s fundamentals, external assets position, fscal space, and perception of the fnancial markets. The maturity period of the loans also infuences the risk of default; for instance, short-term loans increase the vulnerability of government to changes in investor’s sentiments, especially if the sentiments are against the government that have a high proportion of their debt in the short term. In 240 Amin Karimu et al. such a case, the need to refnance a signifcant share of the debt in short periods increases, which puts more pressure on the debtor. The cost of the borrowing therefore increases due to the need to refnance the debt in short periods, but at the same time because the coupon on such short-term loans are lower, the cost also reduces by that effect. The overall effect on the cost of the loan therefore depends on the strength of these two opposing effects of short-term loans. 9.3.2 The relationship between economic growth and external debt The relationship between economic growth and external debt depends on what the debt is used for, the level of debt ratio, and the quality of institutions and policies. In the frst case, if the indebted country managed the loans prudently by investing in growth-enhancing projects, then the debtoverhang hypothesis will not apply, because the projects fnanced with the debt will generate enough returns to service the debt in the medium term. Contrarily, the debt-overhang hypothesis applies when the country is indebted but lacks good policies and institutions. In such a case, the rise in indebtedness will eventually result in the country’s experiencing debt overhang, where higher debt ratios are deteriorating to growth. In such a situation, debt-relief programmes are likely the best option for creditors to undertake to reduce future defaults by the highly indebted countries. This hypothesis led to the introduction of the debt Laffer curve,10 which was frst introduced by Jeffrey Sachs (1988) and formalised by Paul Krugman (1988). The key idea underlying the debt Laffer curve is that at low indebtedness, a country’s ability to repay the debt is high due to a positive association between the debt and economic growth. However, as the debt level increases to a crisis level, the debt becomes a drag on economic growth and consequently has a negative effect on growth. This negative effect of the debt on growth increases the risk level of default of the indebted country, which may reduce the market value of the debt, due to the risk its not repaying the debt (see Figure 9.1). In Figure 9.1, there is a clear linear relationship between the face value of debt and its market value up to point A, which suggests that a percent increase in the face value of the debt of a country results in an equivalent increase in the market value of the debt up to point A. As the face value of the debt increases beyond the level depicted by point A, we see a divergence between market value and face value of the debt, where the market value tends to increase more slowly relative to the increase in the face value of the debt. A reason for this is that at high debt levels, it becomes diffcult for a country to fnance the debt due to the increasing burden of the debtservicing obligations. The debt-servicing requirement tends to act like a tax on any activity that the indebted country undertakes, which requires an upfront cost in exchange for future benefts such as investments (Pattillo, Poirson, & Ricci, 2002). Consequently, the marginal returns on debt to the right of point A in Figure 9.1 decrease as more debt is accumulated. Chapter 9 • Sovereign debt management 241 market vakue of debt FIGURE 9.1 Debt Laffer curve 45° debt overhang B A face value of debt Source: Krugman (1988) Point B is the threshold point where the absolute increase in the face value of the debt is more than the marginal decrease in the market value of the debt. In such an instance, a country experiencing this is classifed as suffering from a debt overhang – hence the debt-overhang hypothesis. Figure 9.1 is generally divided into three regions: a region up to point A, a region between point A and point B, and a region above point B. If the debt level is beyond point A in Figure 9.1, there are two possibilities: the debt level is such that the country lies either to the left of point B, which is referred to as the ‘correct’ side of the debt Laffer curve, or to right of point B, which is the ‘wrong’ side of the debt Laffer curve (i.e. debt overhang). On the correct side of the debt Laffer curve, debt forgiveness will not increase the market value of the debt, whereas in a case where a country lies in the wrong side of the curve, debt forgiveness will reduce the face value of the debt and lead to a rise in the market value of the debt. Another way to practicalize the debt Laffer curve is to think of it in terms of the relationship between debt ratio and growth as demonstrated by Clements et al. (2003). If the debt ratio is at a level where there is a positive relationship between the two, then the country is on the correct side of the debt Laffer curve, but it is on the wrong side if there is negative relationship between debt ratio and growth. One the one hand, using available data from WDI (2019) for developing countries, a scatter plot with a ftted line presented in Figure 9.2 revealed a negative relationship between debt and economic growth for 242 Amin Karimu et al. FIGURE 9.2 Scatter plot with a ftted line Debt to GDP ratio above the 50% threshold Debt to GDP ratio above the 50% threshold 200 50 EI Salvador Congo, Dem. Rep. Cote d’lvoire Georgia Ukraine Moldova 40 Zambia 100 Pakistan Sri Lamka Egypt, Arab Rep. Debt to GDP ratio (%) Debt to GDP ratio 150 Burundi Micronesia, Fed. Sts. Vanuatu 0 10 0 5 10 Bangladesh 30 20 –5 Malawi Indonesia 50 –10 Liberia Solomon Islands –1 Real GDP growth Debt to GDP ratio Rwanda Congo, Rep. 0 1 2 3 4 Real GDP growth Fitted values Debt to GDP ratio Fitted values Source: Authors’ computation using data from WDI (2019) debt levels above the 50% threshold (suggested by the IMF). On the other hand, there is a positive relation between debt and economic growth for countries with debt levels below the 50% threshold, supporting the debt Laffer curve. The empirical literature provided some evidence on indebted developing countries and growth relationship – for instance, a study by Pattillo et al. (2002) for a large panel of developing countries, in which the authors focused on the potential nonlinear relations as postulated by the debt-overhang hypothesis. Findings from their study provided evidence of a nonlinear relationship. Specifcally, there is negative impact associated with high debt-to-GDP ratios above the bracket (35%–40%) and, in the case of debt-to-exports ratio, the threshold above which debt has a negative effect range between 160% and 170%. These values show some signifcant variation of the turning point for the debt effect on growth, which may refect the heterogeneity in countries’ economic conditions, policies, assets level among others, suggesting that the level of debt that is problematic for a country is country specifc and context specifc rather than general. Clements et al. (2003) found the threshold for a panel of 55 low-income countries to be above 50% for external debt-to-GDP ratio and above 100%– 105% for the net present value of external debt–to-exports ratio. Moreover, the authors found the following the channels through which external debt affects growth for the sampled countries: via the effciency of resources used Chapter 9 • Sovereign debt management 243 by the indebted country and via the indirect effect on public investment through the debt-servicing obligation. In contrast, Cordella, Ricci, and RuizArranz (2010) found that for a panel of developing countries, the threshold to be above 15%–30% of GDP, which they classifed as intermediate debt range. Furthermore, the debt-overhang threshold tends to be infuenced by policies and institutions, where bad polices and institutions reduce the threshold values. The general take from the brief empirical literature reviewed suggests, in general, that there is a nonlinear relationship between the level of accumulated external debt ratios and growth, but the level of the threshold beyond which a debt overhang occurs varies with countries and with the type of ratio used. The variations seem to be infuenced by country characteristics, the type of ratio, institutions, policies, the effcient (or not) use of resources, and the level to which debt service crowds out public investment. 9.3.3 The channels via which external debt impacts growth Both the empirical (Pattillo et al., 2002; Clements et al., 2003; Cordella et al., 2010) and the theoretical (Sachs, 1988; Krugman, 1988) literature on debt and economic growth suggests a nonlinear relationship between these two indicators. The channels via which debt affects growth are discussed under two themes: a difference in the marginal product of capital and cost of capital and a high effective marginal tax on returns on investment. 9.3.3.1 DIFFERENCE IN THE MARGINAL PRODUCT OF CAPITAL AND THE COST OF CAPITAL The frst channel is where a capital-scarce country is able to borrow at world interest rates that are relatively lower than the marginal product of capital, as a consequence of a low level of debt, which makes the capacity for repayment high and therefore reduces the risk premium that the creditor charges (Eaton, 1993; Cohen, 1991). This positive effect of low debt on economic growth also depends on the type of capital that is fnanced with the loan, how effciently resources are used, and the soundness policies and institutions. However, even if the marginal product of capital is higher than the cost of capital but the borrowing country invests in a low productive sector, with bad policies and institutions, such growth effects become diffcult to be realized. The second channel is when the loan-servicing obligation for a highly indebted country on current production is high, which can be seen as a tax on current investment activities in the indebted country. The high debt-servicing requirement becomes a disincentive for investment in such a country. There is therefore likely to be capital fight from the highly indebted country to a low indebted country. This is due to the implied tax differential imposed by the level of indebtedness, which consequently will have a negative effect on productivity and growth, as suggested by the debt-overhang theories (Sachs, 1988; Krugman, 1988). 9.3.3.2 HIGH TAX ON RETURN ON INVESTMENT 244 Amin Karimu et al. 9.4 INSTITUTIONAL FRAMEWORK FOR GOVERNMENT DEBT MANAGEMENT The institutional framework within which government debt is managed is crucial in the overall management of public debt given the risks and cost objectives on one hand and the long-term goal of debt sustainability on the other. Most countries manage their public debt by having a unit either in the ministry of fnance (MoF) or separate from the ministry to be responsible for managing public debt. These units are generally referred as debt management offces (DMOs), which were traditionally located in the ministries of fnance before the early 1990s. In the early 1990s, some OECD countries separated their respective DMOs from their ministries of fnance and provided them with more independence in the operation of the overall debt management strategy, with less infuence on monetary policy. One reason for this separation of the DMO from the MoF is to ensure that incentive-compatibility contracts can be offered to attract highly skilled staff to manage government debt, which was not easily possible within the civil service pay structure of n MoF. According to Currie, Dethier, and Togo (2003), there are generally four major characteristics of debt exhibited by developing and emerging market economies: a less developed domestic debt market, problems of coordination between debt management and monetary policy, and problems in managing the impact of debt servicing on the budget and in controlling contingent liabilities. This highlights the need for an effective institutional framework that will incorporate the four key features just presented, in a way that that more effciently manages debt for such countries. 9.4.1 Effective governance The government structure for the DMO should be well defned regarding who is legally responsible for issuing new debt, invest, represent government in undertaking transactions regarding debt management, and clarifying rules regarding the principal–agent relationship. In OECD countries such as Sweden, the minister of fnance is ultimately responsible for government borrowing and for approving a debt management strategy, but typically, the responsibility of the day-to-day operation of debt management is delegated to a DMO. A clear and transparent governance structure makes it easy to support a sound and a credible fnancial system, which is supported by assurances of a well-designed governance structure, which bring confdence to the markets that the government debt portfolio is being managed effectively. 9.4.2 Effective organizational structure The organizational framework for debt management must be clearly specifed, and mandates and roles clearly articulated to key players within the debt management framework as suggested in the World Bank guideline for public debt management (World Bank & IMF, 2001). The institutional Chapter 9 • Sovereign debt management 245 arrangement for locating sovereign debt management functions are many as pointed out by the World Bank guideline, which includes the MoF, central bank of a country, and the independent debt management agency. In most cases, however, it is mostly located in the MoF or an independent DMO, separate from the MoF. Irrespective of the institutional arrangement that is chosen, an important factor is to ensure that the organizational framework surrounding debt management is characterised by clearly specifed mandates and roles, strong coordination, and sharing information among different players within the framework. In most developing countries, the economy is generally more exposed to fnancial shocks and therefore more vulnerable to crises in public debt management (Currie et al., 2003). This means that public policy aspects of risk reduction should be emphasized in debt management. As a consequence, these aspects should be incorporated into institutional arrangements: measures that will promote some elements of public policy into debt management. Some of such elements of public policy include facilitating coordination with monetary and fscal policy, the development of the domestic debt market, and the control of the possible impact of risky debt structures on the budget. 9.4.3 Effective operational structure An ineffective and inadequate operational structure within the debt management framework can impose serious operational risks,11 which could negatively impact debt management plans and consequently the sustainability of a country’s sovereign debt. Operational risks in debt management are generally high when there are no well-articulated responsibilities given to debt management staff, clear monitoring and control policies that increase the principal–agent problem, and well-structured reporting arrangements. Effective operational structure in debt management requires that the operational responsibility for debt management be subdivided into three units with clearly specifed tasks and responsibilities, but with effcient communication across the units for effcient information sharing. The three units are the front offce, the back offce, and the middle (risk management) offce. The front offce is responsible for executing and managing transactions in the fnancial markets. The back offce is responsible for the settlements of transactions and maintenance of fnancial records. The middle offce is in charge of providing risk analysis, monitoring and reporting on portfoliorelated risks, and assessing the performance of debt managers against any strategic benchmarks. 9.4.4 Effective management of information systems Effective and effcient management of information across the various units in the debt management organizational framework is crucial to keeping track of all transactions to produce timely debt data, promptly paying debt service, improving the quality of budgetary reporting, ensuring transparency in government fnancial accounts and helping in risk analysis, and 246 Amin Karimu et al. managing debt. Effective recordkeeping and data management are crucial for debt management processes, especially for risk analysis and the timely payment of debt service to avoid unnecessary costs for delays in payment of the debt service. The data management is not free, and storing huge amounts and sensitive data is expensive. Therefore, the costs associated with the management of the information system should be considered in line with the debt management operational needs as suggested by the World Bank debt management guideline (World Bank & IMF, 2001). 9.4.5 Staff recruitment and monitoring Debt management requires staff with strong skills in fnancial markets, public policy, and accounting. Without such competently skilled staff, the debt management process will be ineffective even if the governance, organizational, operational, and information management systems are effcient. Regardless of the institutional structure of the DMO, the ability to attract and retain skilled debt management staff is crucial for mitigating operational risk. This is a problem for developing and emerging countries, where it is diffcult to separate the DMO from the MoF, due to the less developed debt market, which suggests that monetary policy and debt management are interlinked and that therefore the DMO should be kept in the MoF. Keeping the DMO in the MoF suggests that the civil service salary scheme would generally apply to DMO staff, which makes it diffcult to offer incentive-compatible contracts to attract such skills and retain them, since their skills are highly demanded in the private sector too but with better salary structures. One possibility that is often used to attract skilled staff into the DMOs is to offer them training packages. The problem with this approach is how to keep them after they have acquired all the skills from the various training programmes and have become even more competitive in the job market. Beyond the staff recruitment and retention problem, there is also a need to provide code-of-conduct and confict-of-interest guidelines that will help separate staff personal fnancial affairs from sound debt management practices. 9.5 RENEGOTIATING DEBT CONTRACT Sovereign debts are complex to deal with in cases of default. This is especially so because collaterals cannot easily be seized to defray debts. Rather, the terms and conditions of the debt contracts can be renegotiated. Thus, renegotiating debt contracts can be seen as an instrument that both a borrowing country and a lending country can use to improve the terms of the debt contract. In many cases, renegotiation is most preferred in instances where lending countries strictly enforce their rights to seize the borrower’s assets. Reports from Aguiar and Gopinath (2007) show that, on average, lending countries take a loss of 40% due to post-default debt negotiations. Yue (2010) models the interaction between default and debt renegotiation within a dynamic borrowing framework. The conclusion was that Chapter 9 • Sovereign debt management 247 recovery rates decrease with indebtedness that affects the country’s incentive to default, ex ante. Also, in equilibrium, sovereign bonds are priced such that they compensate crediting countries for the associated risks of default and restructuring. They add that the model predicts interest rates and reductions in the stated value of an asset to increase with the level of debt. Also, results demonstrate that the changes in bargaining power have a great impact on debt recovery rates and on the sovereign bond spreads, thereby shedding light on the policy implications of sovereign debt restructuring procedures. With regard to collective action and sovereign debt renegotiation, bondholders’ incentives to renegotiate might not be aligned if lenders are large in number. According to Weinschelbaum and Wynne (2005), if each bondholder possesses a small fraction of the debt, each will have little incentive to forgive, because they can only marginally affect the government’s incentives to repay. Since the probability of being paid is basically independent of an individual’s actions, they will always fnd it incentive compatible to hold to the pre-existing debt rather than cooperate in the renegotiation process. Bai and Zhang (2012) highlight the effect of information frictions on renegotiation delays vis-à-vis the role of the secondary market in reducing these delays. When renegotiating with creditors to restructure debt, the government might prefer to have costly delays if the reservation value of the creditors is private information. Although a low restructuring proposal might cause costly delays in reaching agreements, it might also increase the government payoff if the creditors turn out to have a low reservation value. The more severe the information friction, the longer the maximum renegotiation duration. The presence of a secondary market might then reduce the renegotiation duration by lessening the information friction through price revelation. This implication is consistent with the empirical fnding that sovereign debt renegotiations are on average much shorter for liquid bonds than for illiquid bank loans. Finally, their model also reveals that to achieve higher welfare and more-effcient allocations, the creditors have to receive a certain level of renegotiation payoff. Using game theory, Gromb (1994) shows how a crediting country can rather be a prisoner to the borrower. However, the fact that the investor always fears subsidizing an already-rich entrepreneur makes the threat of terminating the development phase more credible. Arellano and Bai (2013) compare a decentralized Nash bargaining protocol with one designed by a benevolent planner. In the decentralized model, a default in one country increases the likelihood of default for the second country because recoveries are lower when both countries renegotiate together with the lender. In the planning solution, in contrast, the defaults of each country are independent of the other country. The planner simply decides on recoveries that induce default or repayment from each country, trading off the deadweight costs and the redistribution benefts of default. Benjamin and Wright (2009) fnd that longer defaults are correlated with larger reductions in the stated value of an asset and that there is a modest tendency for countries to enter default when output is relatively low 248 Amin Karimu et al. and to emerge from default once output has recovered to reach its trend. They also establish that longer defaults and larger reductions in the stated value of an asset are more likely when economic conditions in the defaulting country are weak at the time of default. With respect to sovereign debt restructuring, on average it takes a long time for creditors and a sovereign government to reach an agreement. Lengthy renegotiations are costly: during renegotiation, governments cannot resume international borrowing, and creditors cannot realize their investment returns. Thus, understanding the causes of renegotiation delays better is important for both academic and policy purposes. Alternatively, Rose (2005) shows that it is logical for sovereign countries to fear default, since default is strongly associated with reduced trade. This is demonstrated by using a large panel dataset covering over two hundred trading partners and over 50 years of data to estimate a model of trade. Results show that debt renegotiation is associated with a decline in bilateral trade that is both economically and statistically signifcant, adding up to a year’s worth of trade, although the effect is spread over 15 years. 9.6 DEBT-RELIEF POLICIES Debt relief is granted to borrowing countries that face a situation of debt overhang, which is a situation where a country’s existing debt so great that it cannot easily borrow more money, even when that new borrowing is actually a good investment that would more than pay for itself. Debt relief can be granted by creditor countries by writing off debts to the level where a borrowing country will not face harsh economic instability. However, opponents of debt relief argue that some borrowing countries deliberately incur further debt with the belief that the debts will be cancelled in the future. In fact, they argue that this situation is not fair to developing countries that manage their debts creditably. Thus, they encourage developing countries to spend beyond their current budgets in order to merit debt relief. Of course, others argue that the granting of debt relief widens the dependence gap between the rich and the poor. When debt is seen to be unsustainable, there are a number of ways of giving out debt relief. The Heavily Indebted Poor Countries (HIPC) Initiative and the Multilateral Debt Relief Initiative (MDRI) are compensation schemes that are given by the IMF and World Bank to grant debt relief to qualifying countries. The whole purpose of the HIPC Initiative is to curtail sovereign countries’ debts to those levels believed to be sustainable by giving them relief of debts held by creditor countries. To be eligible, borrowing countries must pursue structural reform programmes and strategies for debt reduction. The MDRI is another debt-relief programme, which is implemented to help defaulting countries graduating from the HIPC Initiative stage enjoy the privileges of full debt cancellation. That said, the MDRI was set up to assist qualifying countries to get a step closer to the Millennium Development Goals (MDGs). Also, the decision to seek debt relief is one for the defaulting country to make. Chapter 9 • Sovereign debt management 249 9.7 DESIGNING INCENTIVES Effective sovereign debt management irrespective of the institutional framework under which it operates requires an effective and effcient incentive design to ensure incentive partibility between the principal’s objectives and that of the agent in minimizing the cost of public debt, given the risk exposure of such debt. The academic literature contains several incentive designs for organizations. A major issue in the economies of organizations around the world is that of designing the appropriate compensation and incentive systems, as shown in Posner’s (2010) work for CEO compensation. As Roberts (2010) rightly points out, the problem with designing the appropriate incentive systems should not be limited to the top level of organization but rather include all levels of the organization. The issue of designing the right incentive system is even more relevant to DMOs, since they play a crucial operational role in the overall debt management of the public, where the strategic objective of the principal should be in line with that of the agent for the prudent management of public debt. But what is the right incentive system that should be designed to ensure incentive compatibility between the principal and the agent in public debt management? Should the design be focused on strong incentives or weak incentives? People generally respond to incentives, but what is usually not clear is whether the designed incentives are able to appropriately capture the right interests and all the interests of the principal for the agent to respond as desired. In the context of debt management, whether we should resort to designing strong incentives relative to weak incentives or vice versa depends on fve key situations, as outlined by Roberts (2010): 1 Whether there are available good measures of the agent’s efforts or performance. 2 Whether there are available good measures for a particular activity and whether multitasking is important. 3 Whether cooperation among different agents is desired. 4 Whether encouraging experimentation is important. 5 Whether inducing obedience from agents who disagree with the principal about the right course of action is important. In all fve cases, the weak incentive scheme is recommended as the optimal incentive design relative to the strong, as demonstrated by Roberts (2010) on the basis of earlier studies (Posner, 2010; Holmstrom & Milgrom, 1991; Raith & Friebel, 2008; Van den Steen, 2007). In the case where there are poor measures for agent’s performance, poor measures for at least one task in a multitasking activity, poor measures for cooperation and experimentation, and the principal and agent fundamentally disagree about the right way to do things (detailed explanation is in Roberts, 2010), the weak incentive scheme is more appropriate. In the context of debt management, it is important to assess whether the overall strategic objective of the principal of minimizing the cost of public debt, given the risk, can be addressed by a single task or multiple 250 Amin Karimu et al. tasks that are required by the agent to meet this objective, whether there is the need for coordination of tasks across different agents, and whether the agent needs to experiment to achieve the strategic objective of the principal. In all this, it is important to determine whether there are excellent measures for incentives to suggest whether a strong or weak incentive scheme should be implemented. The tasks of the DMO are generally many, requiring multitasking rather than working on only a single task. For instance, front offce staff are required to be able to handle tasks that include managing auctions, other forms of borrowing, and all sorts of funding operations. These different tasks are not easily measured by any performance measure to be able to use in creating a strong incentive scheme. The second related important thing to consider in designing the appropriate incentive systems for the DMO is the fact that not only do staff perform multiple of tasks, but more so, their tasks must be well coordinated, as the front offce activities affect the back offce and the middle offce activities, and vice versa. This, among other things, suggests the need for a weak form of incentive scheme, such that agents do not respond strongly to bad but strong incentives. 9.8 SOVEREIGN DEBT RESTRUCTURING Debt restructuring refers to an exchange of outstanding debt instruments like loans and bonds, for new instruments or cash through a legal process (Das, Papaioannou, & Trebesch, 2012; European Parliamentary Research Service, 2017). It involves either or a combination of debt rescheduling, which refers to an extension of repayments into the future paired with the possibility of lower interest, and debt relief, which entails the reduction of the nominal debt. Restructurings may be pre-emptive, coming before a default or after a default. The restructurings done thus far have been under four channels: the Paris club, which is a group of creditor governments; the London club, which is a group of private creditor committees; multilateral fnancial institutions (MFIS); and exchange offers for dispersed bondholders (Brooks & Lombardi, 2015). Data show that since the 1950, there have been more than six hundred individual cases of debt restructuring arising from defaults (Das et al., 2012). Debt restructuring has gained traction in the past few years, for good reason. The lack of a proper statutory approach anchored in law like in the case of corporations has limited the options available for sovereign restructuring. This has brought about the overreliance on the contractual approach mainly using collective action clauses (CACs) to restructure. However, CACs also come with limitations, as was witnessed recently under the Argentinian case and the recent Greek debt restructuring. Holdout problems limit the speedy attainment of a solution while affecting the outcome of the restructuring outcomes. This is made more complex by rulings that sometimes end up confusing international practice, rulings from litigations by parties in different jurisdictions. The Greek case demonstrated how the requirement for a supermajority in CACs might fail to be suffcient to make binding commitments as Chapter 9 • Sovereign debt management 251 minority creditors successfully held out notwithstanding the CACs. Greece had tried to restructure €206 billion of debt, of which €21.6 billion was subject to foreign law. Of these foreign law bonds, 50% failed to achieve the share needed to activate a collective action clause (CAC) (usually at 75%), resulting in €6.5 billion of the bonds not being restructured. In this case, Greece was forced to pay out the holdouts in full, because those who had agreed to the CACs had their debt reduced by up to 75% in net present value terms (Nieminen & Picarelli, 2017). On one hand, the Greek debt debacle with its resultant contagion effects in Europe revealed the black box in policy that debt restructuring is, and how much it can evolve into a nightmare. On the other hand, the recent debt forgiveness process for heavily indebted poor nations also revealed how unsustainable debt can weaken a nation’s growth and development. 9.8.1 Stylized facts In recent years, debt restructuring has emerged as one of the main solutions of steering debt-ridden countries out of distress. Although there has not been an established systematic way of handling it, some common characteristics have been identifed. According to Trebesch and Kolb (2011), four major insights can be assigned to a majority of countries that eventually turn out to be candidates of a restructuring; 1 Most debt crises yield more than one debt restructuring and more than one debt renegotiation. For example, the Algeria debt crisis (1991–1996) had two restructurings, the Brazil debt crisis (1980–1990) had fve restructurings, and the Russian debt crisis (1998–2000) had three restructurings. 2 There is wide variation among the durations for sovereign debt restructuring. Between 1980 and 2007, it took an average of 30 months; and from 2008 and 2010, the restructuring period decreased to an average of 17.3 months. The duration of restructuring has generally been falling over time. The highest individual country restructuring durations include Serbia and Montenegro 2000 to 2004, which lasted 43 months; Argentina 2001 to 2005, which took 42 months; and among the shortest was Uruguay’s restructuring, which took two months. 3 Over the past few decades, it took longer to restructure bank debt than it took to restructure sovereign bonds. Sovereign bonds took on average 13 months, while bank restructurings took on average 30 months. 4 Holdouts due to creditors and prerestructuring litigation are rare and occur only in a minority of cases. Creditor legal action is restricted to less than 30% of the total cases. 9.8.2 When are debts restructured? Sovereign debt restructuring is associated with a period of debt overhang where the debt has already grown big enough for the lenders to view it as 252 Amin Karimu et al. unpayable in full. The analysis of when a country has fallen in this state has been carried out using the debt Laffer curve, as mentioned earlier. The curve was originally used for tax optimization to limit the growth of the budget defcit but has since evolved into an important tool to evaluate the solvency of a country. Countries that have reached a point of debt unserviceability are said to be on the wrong side of the debt Laffer curve (Figure 9.1), where restructuring is the only way out. Data from 68 countries Cruces and Trebesch (2013) demonstrate that restructuring involving higher reductions in the stated value of an asset are associated with signifcant higher subsequent bond yields spreads and longer periods of capital market exclusions. 9.8.3 The debt restructuring process According to Panizza (2008) and Wright (1944), unlike debt from individuals or corporate entities, where laws can be enforced to declare bankruptcy and legal enforcement, sovereign debt is a bit complicated. There is a special status enjoyed by a country in the form of sovereign immunity, which leaves little room for creditor attachment to a debtor country’s assets. Furthermore, a sovereign is assumed an unlikely candidate for bankruptcy, which limits its default to only being illiquid. This arises from the assumption that a country can easily repay the debt through a cocktail of fscal consolidation measures, which may include increasing its revenue sources and decreasing its expenditure, among other measures. Creditors faced with a default are seldom willing to accept a repudiation of the debt. They hinge their hopes on the assumption that countries may not be willing to risk market exclusion, embargoes, sanctions, and costs in the form of reputation, borrowing rate increase, or asset confscation to encourage the debtors to stick to the terms of the loan (Eaton & Gersovitz, 1981; Megliani, 2014). Furthermore, international treaties commit the defaulting countries to making full compensation for resultant losses arising from wrong acts, as established in international treaties. Several studies, such as Trebesch and Kolb (2011), Megliani (2014), and European Parliamentary Research Service, 2017, conclude that the process of debt restructuring can generally be summarized into three phases. In the frst place, the debtor is obligated to declare the debt unsustainable and in need of restructuring. This is the longest part of the restructuring process, which can take months or years. Second, the country’s debt profle is evaluated and categorized into foreign and domestic and then by creditor type. Third, debt exchange occurs where the restructuring offer is made, and the creditors then decide whether to accept or reject it. According to European Parliamentary Research Service (2017), a minimum threshold must be reached in terms of accepting creditors for the restructuring process to proceed. According to Schwarcz (2004) and Nieminen and Picarelli (2017), the restructuring itself takes two approaches. First, a contractual approach, also called the private law approach, regulates the process by use of, among others, CACs. The contractual approach using CACs is employed mainly in international bonds and allows the supermajority of creditors to modify the Chapter 9 • Sovereign debt management 253 bond’s earlier fnancial conditions. Next the statutory approach, also called the public law approach, involves the application of laws that govern the process of restructuring. This would require the use laws between states such as the sovereign debt restructuring mechanism (SDRM) of the International Monetary Fund (IMF). This process is rarely used in a sovereign context because of a lack of a properly laid-out legal framework. Although this process seems to be straightforward, the negotiation process is fraught with many complications. The process may vary from creditor to creditor, and this has seen debt market seriously agitating for a harmonization of a process to which each participant can commit. Although the foregoing process generalizes the restructuring process, the nature of debt determines the process, such that commercial banks, multilateral and bilateral suppliers, trade creditors, and bondholders may have different negotiation processes, because different interests motivate them. 9.8.4 Methods of debt restructuring The method of debt restructuring used depends on various aspects of the loan, especially on the parties involved, the nature and outcomes of the negotiations, and the needs of the debtor nation. According to Megliani (2014), the nature of the default determines the method of resolution, which can take either one of four forms: 1 2 3 4 Submitting to arbitration. The borrower’s making a unilateral determination. Arriving at a consensus between the parties involved. Taking recourse to diplomatic means. Debtors commonly enter into negotiations. The main determinant of the method which debt restructuring takes depends on the jurisdiction in law (or lack thereof) that anchors the debt issue. There are two main jurisdictions in international debt, namely English law and New York law. Other jurisdictions include German law, Luxembourg law, and so on. The law upon which a debt instrument is based determines the jurisdiction in law, which will decide in case the restructuring ends in court and will determine the clauses that can be inserted into the debt instrument with regard to certain aspects. A major aspect is the fraction of creditors required to amend aspects of an instrument. Whereas New York law may require near-unanimous agreement among creditors, English law requires a lower threshold – twothirds or three-quarters of the creditors – to make an amendment (Arora & Caminal, 2003). On the basis of the law anchoring the bond agreement or lack thereof, restructuring arrangements are either statutory (based on law) or contractual. 9.9 RISK MANAGEMENT FRAMEWORK FOR GOVERNMENT DEBT PORTFOLIO To mitigate a sovereign country’s vulnerabilities from shocks, it needs a policy framework that integrates government debt and risk management. 254 Amin Karimu et al. Structural weaknesses in developing markets create volatility in the macroeconomy. Thus, the more unstable an economy, the more important it is to have a comprehensive policy framework for government debt risk management. The risks inherent in the structure of the government’s debt should be carefully monitored and evaluated. Generally, risk management policies are approved by a country’s MoF, but there are separate agencies that are responsible for the actual risk management operations. Common risks that are likely to be managed are credit risk,12 liquidity risk,13 and market risks.14 According to Blommestein (2005), risk management policy framework mirrors the vital connection between the formulation and the implementation of debt management decisions and should be based on benchmarks. The strategic benchmark to that end is a management tool that requires a government to specify its risk tolerance and portfolio preferences on the trade-off between risks and expected costs. Debt managers should be able to ascertain how a portfolio is structured with respect to cost against risk criteria. This helps to hedge against various forms of shock. This means a government’s choice of debt instrument issued depends on the economy’s structure, the nature of economic shocks, and investor preferences. A strategic benchmark has two key roles: 1 It provides guidance for management of costs and risk. 2 It defnes a framework for assessing portfolio performance on cost, risks, and return. To guide borrowing decisions and lessen government risks, debt managers should take into consideration fscal and other risky features of a government’s cashfow. Theoretically, all governments have balance sheets that show their cashfows. Factoring in these cashfows vis-à-vis fnancial and other inherent risks provides in-depth insight for debt managers into managing risks associated with government debt portfolio. In addition, a fnancial analysis of a government’s balance sheet will form a basis for measuring the costs and risks of more-viable policies and programmes aimed at managing a government’s debt portfolio. Some countries have extended this approach to include other government assets and liabilities. For example, in certain countries where foreign exchange reserves are funded by foreign currency debts, debt managers have lessened government’s balance sheet risk by ensuring that the currency composition of the debt supporting the reserves refects the currency composition of the reserves after factoring in derivatives and hedging transactions. Countries where debt managers are in charge of managing liquid assets have been adopted a multipronged method for credit risk management. In other countries where credit ratings are available, debt managers should limit their investments to those that have credit ratings from independent creditrating agencies that meet a predetermined minimum requirement. Of course, credit risks can also be managed by diversifying a portfolio across a number of fnancial counterparties and through collateral agreements. A government should set its risk exposure limits for counterparties to factor in its actual and contingent consolidated fnancial exposures to that counterparty that arises from debt and operations of foreign exchange reserves management. Chapter 9 • Sovereign debt management 255 Foreign exchange reserves play a role in granting government the fexibility to manoeuvre in times of shocks. The level of foreign exchange reserves should be aligned with government access to capital markets, the cost of carrying the reserves, and the exchange rate regime, among others. Governments that are unable to secure access to the international markets should consider holding reserves that align with their countries’ short-term external debt. In addition, debt managers should consider indicators that are of interest to debt management, such as ratios of debt to GDP and to tax revenue, average interest rates, debt service ratios, maturity indicators, and indicators of debt composition. Contingent liabilities are potential fnancial claims against government which have yet to materialize but can trigger a frm fscal obligation under certain circumstances. Contingent liabilities may include government insurance against natural disasters. Debt managers in managing risks should factor in the impact of contingent liabilities on a government’s fnancial position. Contingent liabilities come with some level of risks unlike government fnancial obligations. This is because they can be used only when certain events take place. Also, the size of the payout depends largely on the structure of the undertaking. Governments can reduce the contingent liabilities risks by strengthening provident supervision and regulation, introducing appropriate deposit insurance schemes, undertaking sound governance reforms of public sector enterprises, and improving the quality of their macroeconomic and regulatory policies. It is important also that a government monitor the risk exposures they enter into through contingent liabilities and make sure that they are fully aware of the risks involved in such liabilities. It is necessary also that the government be well informed about the conditions that are likely to trigger continent liabilities, such as policy distortion. Notably, some governments have found it useful to centralize this monitoring function. Nonetheless, the debt managers should be aware of the contingent liabilities undertaken by a government. It is also important that debt managers make budget allowances in anticipation of expected losses from contingent liabilities. It is expedient for debt managers to critically assess and manage risks that emanate from foreign currency and short-term or foating-rate debt. When a government overly relies on a debt management strategy that features foreign currency or short-term debts, this situation may be risky. This holds true in times when capital markets become volatile and exchange rates depreciate. Also, short-term debts that may seem less costive can create substantial rollover risk for the government. In other instances, it may limit the central bank from raising interest rates to confront issues of infation or perhaps support the exchange rate. A number of governments from emerging market countries have considerable amounts of short-term and foating-rate debt. Yet relying too much on longer-term fxed rate fnancing also has its associated risks as it entices the government to devalue the debt in real terms by initiating surprise infation. Such concerns would be refected in both current and future borrowing costs. Also, unexpected devaluation would increase debt-servicing burdens. This could create strains in countries and lead to the payment of higher risk premium given 256 Amin Karimu et al. the already-heavy debt burden. Governments seeking to build benchmark issues often hold liquid fnancial assets, spread the maturity profle of the debt portfolio, and use domestic debt buybacks or swaps of older issues with new issues to manage the associated rollover risks. Another way to manage risk is to have a cost-effective management policy in place to cater for cases of unplanned expenditure. In situations where government fnds it diffcult to secure access to capital markets, liquid fnancial assets can provide fexibility and ease in debt and cash management operations in times of temporal fscal market distortions. They make it easy for the government to absorb shocks where it is nearly impossible to borrow in capital markets or perhaps expensive to. Sound cost-effective cash management needs to be supported by an effcient infrastructure for payments and settlements. Identifying and managing market risk involves examining the fnancial features of the revenues and other cashfows available to the government to service its borrowings and choosing a portfolio of liabilities that matches these as much as possible. Where cash and debt management functions are separately managed, such as by the central bank and ministry of fnance respectively, short-run discrepancies between debt and monetary operations are avoided. Clearly demarcating institutional responsibilities between the central bank and debt management offcials promotes sound cash management practices. The IMF (2017) provided ten guiding principles for managing sovereign risk, which due to space, will not be discussed here. 9.10 DEBT SUSTAINABILITY ANALYSIS AND MEDIUM-TERM DEBT STRATEGY The issue of debt sustainability in developing countries is an issue that often comes up in debates and discussions among policymakers and international organizations, especially in recent years after the 2008 fnancial crisis. Equally important is the concept of medium-term debt management strategy (MTDS), which is closely linked to debt sustainability. 9.10.1 Debt sustainability analysis According to the IMF, in developing countries, debt is considered to be unsustainable if the following two conditions hold: • External debt is unsustainable. • Debt-servicing problems occur. External debt is unsustainable when it cannot be serviced without needing exceptional fnancing, such as debt relief. This means that when a country is unable to honour his external debt service obligation without a debt-relief support, the external debt of such a country is said to be unsustainable. There are various indicators that are generally used to assess whether a country’s external debt is likely to be unsustainable or not, which will be discussed later in this section. Chapter 9 • Sovereign debt management 257 Developing countries are considered to be facing debt-servicing problems or challenges when there is lack of suffcient loans or grants from external creditors (e.g. international organizations or governments) to fnance a country’s primary defcit, and when the cost of servicing domestic debt is high. This means that a country with a lower cost of domestic debt may reduce its possibility of a debt-servicing problem relative to one with a high cost of domestic debt. In the context of facing the two conditions just presented regarding debt sustainability, it becomes necessary to conduct DSA annually as recommended by the IMF to form a clear picture of what future commitment can be made in regard to debt management and public investment. DSA can be broadly defned as an assessment of how a country’s current level of debt, and new borrowing affects its ability to honour debt service obligations in the future. This, among other things, suggests that a country with a huge accumulated debt stock, but with fewer resources to support the debt, and yet it continues to accumulate new debt, which runs the risk of its not being able to honour the service obligations of the debt in the future. This risk is higher for countries with poor policies and institutions, which could serve as a check to wasteful use of the borrowed money. 9.10.2 How DSA are conducted The DSA is made up of two parts: a preparing part and an assessing part (World Bank, 2005). In the preparation part, three key steps are taken: 1 The country involved in consultation with the IMF determines the schedule for preparation, which is generally a year but could be less or more frequent than a year, depending on the level of debt stability of the country. When debt levels are more stable, less-frequent updates are required. However, in a case of countries with less-stable debt levels, frequent updates are required. 2 The country works with the IMF and the World Bank develop a macroeconomic framework. 3 The country consults key creditors for information on their lending plans. The second part, which is the assessment section of the DSA, involves the following steps (World Bank, 2005): • Link the low-income countries’ (LICs) templates for DSA to macroeconomic projections and debt data. • Calculate current and future debt-burden indicators under the baseline. The baseline scenario is based on a set of macroeconomic projections, which refects the government’s intended policies. • Design alternative scenarios and stress tests to identify the countryspecifc factors to be included in the DSA. • Produce relevant tables and charts as provided by the LIC templates. • Form a view regarding how debt-burden indicators evolve over time, and assess their vulnerability to exogenous shocks. 258 Amin Karimu et al. • Compare external debt-burden indicators to appropriate indicative debt-burden thresholds. • Assess whether and how other factors, such as the evolution of domestic debt or contingent liabilities, affect a country’s capacity of servicing future debt service payments. • Classify a country according to its probability of debt distress in collaboration with the IMF. • Determine a country’s appropriate borrowing strategy, and identify adequate policy responses. The results from the DSA can then be used in conjunction with countries’ macroeconomic fundamentals, quality of instructions, policies, and history of debt management to determine the warning signs and how-to response appropriately, to correct them before their occurrence. 9.10.3 Medium-term debt strategy The primary objective of sovereign debt management is to raise the required funding required at the least cost over a medium term to a long term, one that is consistent with a reasonable level of risk. This suggests that effective debt management and how it is designed and implemented depend to a large extent on the macroeconomic and institutional contexts. There is a two-way interlinkage between prudent debt management and macroeconomic policy. Generally, sound debt management is critical to macro and fnancial stability and vice versa. An effcient debt management requires an effective debt management strategy (DMS), which can be broadly defned as a plan in managing public debt portfolio over time, in line with the strategic management objective conditional on the constraints imposed by government preferences with regard to cost–risk trade-offs. There are clear guidelines provided by the World Bank and IMF on how to develop a good and effective medium-term debt management strategy (MTDS). The guideline, which contains eight steps, is as follows (February 2009): 1 Identify the objectives for public debt management and scope of the MTDS. 2 Identify the current debt management strategy, and analyse the cost and risk of the existing debt. 3 Identify and analyse potential funding sources, including their cost and risk characteristics. 4 Identify baseline projections and risks in key policy areas – fscal, monetary, external, and market. 5 Review key longer-term structural factors. 6 Assess and rank alternative strategies on the basis of the cost–risk trade-off. 7 Review the implications for candidate debt management strategies with fscal and monetary policy authorities and for market conditions. 8 Submit and secure an agreement on the MTDS. Chapter 9 • Sovereign debt management 259 In practice, the debt management team does not necessarily have to follow the steps in a systematic order as presented. However, all steps should be followed, because they serve various purposes in the debt management process. CONCLUSION Debt levels for most developing countries are fast rising even after the two debt-relief programmes: the Heavily Indebted Poor Countries Initiative and Multilateral Debt Relief Initiative. These programmes, by the end of 2008, helped reduced the debt level for many developing countries. For instance, in SSA, the debt-relief programmes helped reduced the debt level by about two-thirds. The gains from the debt-relief programmes seem to have been short-lived, since the debt levels for most developing countries are getting close to a crisis threshold. Since 2008, the ratio of debt to GDP has been rising, and in 2016, it doubled the 2008 value, to 44%. This fast-rising debt level has almost wiped out half of the reduction from 2000 to 2008. In 2016, out of 46 SSA African countries with available statistics, more than half (24 countries) of them have a debt-to-GDP ratio at or above the 50% threshold considered a concern. Countries such as Capo Verde, Gambia, and the Republic of Congo have debt-to-GDP ratios above 100%, and about 15 SSA have debt-to-GDP ratios in the 60%–98% bracket. The question that keeps coming up in recent discussions is whether the debt-overhang threshold in many of the developing countries has been crossed or has come close to being crossed once again. Why are the causes of the fast-rising debt levels in developing countries? Are the current debt levels in the developing world sustainable? This chapter provided insights into the debt situations in developing countries, the growth implications, institutional framework for debt management, incentive structure for staff in debt management offces, and debt restructuring, among others, to help us better understand the effective management of debt in developing countries. The fscal space for most developing countries are clearly too narrow to support their respective growth and development pathways, and as a consequence, they tend to rely signifcantly on external debt to close the public fnancing gap. More importantly, the borrowed money is in most cases not prudently spent on projects that can generate funds to repay the debt and its servicing requirement. These call for countries to better manage public debts by introducing an effcient institutional framework for debt management, resource debt management offces, and excellent debt sustainability analysis procedures. Discussion questions 1 Explain, with examples, why at a certain threshold of debt, it is prudent to implement debt forgiveness. 2 Give three scenarios that can result in debt crisis and provide solutions to address each of the scenarios. 260 Amin Karimu et al. 3 Explain to a policymaker why debt forgiveness can lead to an increase in the market value of debt for the creditor. 4 What is debt management? Outline the various guidelines to promote debt sustainability in a developing country. 5 Briefy outline the processes involve in conducting debt sustainability analysis (DSA) for a prudent debt management. 6 In the context of debt management, whether we should resort to designing strong incentives relative to weak incentives, or vice versa, depends on fve key situations, as outlined by John Roberts (2010). Present and discuss these fve situations in designing the appropriate incentive scheme for a developing country. Notes 1 External debt is the portion of a country’s debt owed to nonresidents, and it is the standing amount of those actual current, and not contingent, liabilities that require payment(s) of principal and/or interest by the debtor at some point in the future. 2 ‘Eurodollar market’ is a term that refers to US-dollar-denominated deposits at foreign banks or at the overseas branches of American banks. 3 Debt management refers to the processes to minimize the fnancial cost of the public debt while maintaining the market and operational risks at an acceptable level, given the general objectives of the fscal and monetary policies. 4 Debt servicing is the requirement of paying the principal and interest on outstanding loans. 5 Domestic resource mobilization refers to the generation of government revenue from domestic resources, such as revenue generated from taxes or nontax sources (royalties, licences, levies, or other income). 6 Sovereign debt refers to the central government’s debt. It is debt issued by the national government in a 7 8 9 10 11 12 foreign currency in order to fnance the issuing country’s growth and development. Interest rate risk is the probability of a decline in the value of an asset resulting from unexpected fuctuations in interest rates. Economic growth is the sustained increase in the production of goods and services over a period of time. Primary surplus refers to current government spending, which is less than current income from taxes excluding interest payments on government debt. A debt Laffer curve is a curve that shows the relationship between the face value and market value of debt, where market value is determined by the market price of debt. The curve shows when debt reduction can be benefcial to a country if the country is on the wrong side of the curve. Operational risk refers to the probability of loss occurring from the internal inadequacies of an organisation. Credit risk is the potential that a bank borrower or counterparty will fail to meet its obligations in accordance with agreed terms. Chapter 9 • Sovereign debt management 261 13 Liquidity risk is the potential that a frm is unable to meet its short-term debt obligations, thereby incurring exceptionally large losses. 14 Market risk refers to the risk that an investment may face due to fuctuations in the market, such that it cannot be eliminated through diversifcation. References Abrego, L., & Ross, D. (2001). Debt relief under the HIPC initiative: Context and outlook for debt sustainability and resource fow. IMF Working Paper Series, Working Paper No. 144. Washington, DC: IMF. Aguiar, M., & Gopinath, G. (2007). The role of interest rates and productivity shocks in emerging market fuctuations. Chile: Central Bank of Chile. Arellano, C., & Bai, Y. (2013). Linkages across sovereign debt markets. Cambridge, MA: National Bureau of Economic Research. Arora, A., & Caminal, R. O. (2003). Rethinking the sovereign debt restructuring approach. Law and Business Review of the Americas, 9, 629. Bai, Y., & Zhang, J. (2012). Duration of sovereign debt renegotiation. Journal of International Economics, 86(2), 252–268. Barro, R. (1989, September). Economic growth in a cross-section of countries. NBER Working Paper Series, No. 3120. Cambridge, MA: National Bureau of Economic Research. Benjamin, D., & Wright, M. L. (2009). Recovery before redemption: A theory of delays in sovereign debt renegotiations. Retrieved from https://www.researchgate.net/ publication/228240959_Recovery_ Before_Redemption_A_Theory_ of_Delays_in_Sovereign_Debt_ Renegotiation Blommestein, H. J. (2005). Overview of risk management practices in OECD countries. Advances in Risk Management of Government Debt, 27–37. Brooks, S., & Lombardi, D. (2015). Governing sovereign debt restructuring through regulatory standards. Journal of Globalization and Development, 6(2), 287–318. Clements, B., Bhattacharya, R., & Nguyen, T. Q. (2003). External debt, public investment, and growth in lowincome countries. IMF Working Paper No. 03/249. Washington, DC: International Monetary Fund. Cohen, D. (1991). Private lending to sovereign states: A theoretical autopsy. Cambridge, MA: MIT Press. Cordella, T., Ricci, L., & Ruiz-Arranz, M. (2010). Debt-overhang or debt irrelevance? Revisiting the debt growth link (Vol. 57). IMF Staff Papers. Washington, DC: International Monetary Fund. Cruces, J. J., & Trebesch, C. (2013). Sovereign defaults: The price of haircuts. American Economic Journal: Macroeconomics, 5(3), 85–117. Currie, E., Dethier, J. J., & Togo, E. (2003). Institutional arrangements for public debt management (Vol. 3021). Washington, DC: World Bank. Das, U. S., Papaioannou, M. G., & Trebesch, C. (2012). Sovereign debt restructurings 1950–2010: Literature survey, data, and stylized facts (p. 12). Washington, DC: International Monetary Fund. Eaton, J. (1993). Sovereign debt: A primer. World Bank Economic Review, 7(2), 137–172. Eaton, J., & Gersovitz, M. (1981). Debt with potential repudiation: Theoretical and empirical analysis. The Review of Economic Studies, 48(2), 289–309. European Parliamentary Research Service. (2017). Sovereign debt restructuring main drivers and mechanism. Retrieved from www.europarl. europa.eu/thinktank/en/ 262 Amin Karimu et al. Fan, S., Omilola, B., & Lambert, M. (2009). Public spending for agriculture in Africa: Trends and composition. Regional Strategic Analysis and Knowledge Support System, 5. Gromb, D. (1994). Renegotiation in debt contracts. Working Paper. INSEAD. Retrieved from http://citeseerx.ist. psu.edu/viewdoc/download?doi=1 0.1.1.512.4264&rep=rep1&type=pdf Holmstrom, B., & Milgrom, P. (1991). Multitask principal-agent analyses: Incentive contracts, asset ownership, and job design. Journal of Law, Economics, & Organization, 7, 24–52. IMF. (2017). Guiding principles for managing sovereign risks and high levels of public debt. Retrieved from www.imf. org/external/np/mcm/Stockholm/ principles.htm IMF. (2018). IMF’s world economic outlook. Retrieved from www.imf.org/external/pubs/ft/weo/2018/01/weodata/weoselgr.aspx Krugman, P. (1988). Financing vs. forgiving a debt-overhang. Journal of Development Economics, 29(3), 253–268. Megliani, M. (2014). Sovereign debt: Genesisrestructuring-litigation. Cham: Springer. Nieminen, R., & Picarelli, M. O. (2017). Sovereign debt restructuring: Main drivers and mechanism. European Parliament Think Tank. Retrieved from https:// www.europarl.europa.eu/thinktank/ en/document.html?reference=EPRS_ BRI(2017)593800 Panizza, U. (2008). Domestic and external public debt in developing countries. UNCTAD Discussion Papers 188. Geneva: United Nations Conference on Trade and Development. Pattillo, C., Poirson, H., & Ricci, L. (2002). External debt and growth. IMF Working Paper 02/69. Washington, DC: IMF. Posner, R. (2010). From the new institutional economics to organization economics: With applications to corporate governance, government agencies, and legal institutions. Journal of Institutional Economics, 6(1), 1–37. Raith, M., & Friebel, G. (2008). Resource allocation and frm scope. Unpublished. Retrieved from http://works.bepress. com/michael_raith/12 Roberts, J. (2010). Designing incentives in organizations. Journal of Institutional Economics, 6(1), 125–132. Rose, A. K. (2005). One reason countries pay their debts: Renegotiation and international trade. Journal of Development Economics, 77(1), 189–206. Sachs, J. (1988). The debt-overhang of developing countries,* in debt, stabilization, and developments essays in memoir of Carlos Diaz Alejandro. Oxford: Basil Blackwell. Schwarcz, S. L. (2004). Idiot’s guide to sovereign debt restructuring. Emory Law Journal, 53, 1189. Trebesch, C., & Kolb, R. W. (2011). Debt restructuring delays: Measurement and stylized facts. Sovereign Debt: From Safety to Default, 169–177. Van Den Steen, E. (2007). Interpersonal authority in a theory of the frm. American Economic Review. Retrieved from http://papers.ssrn.com/sol3/ papers.cfm?abstract_id=1002789 Weinschelbaum, F., & Wynne, J. (2005). Renegotiation, collective action clauses and sovereign debt markets. Journal of International Economics, 67(1), 47–72. World Bank. (2005). How to do a debt sustainability analysis for low-income countries (English). Debt Sustainability Analysis (DSA). Washington, DC: World Bank. World Bank, & International Monetary Fund. (2001, March 21). Guidelines for public debt management. Retrieved from www.worldbank.org/pdm/ guidelines.htm World Development Indicators. (2019). Retrieved from http://databank. worldbank.org/data/reports.aspx? source=world-development-indicators Wright, Q. (1944). The United States and international agreements. The American Journal of International Law, 38(3), 341–355. Yue, V. Z. (2010). Sovereign default and debt renegotiation. Journal of International Economics, 80(2), 176–187. CHAPTER 10 Financial inclusion and economic growth1 Joshua Yindenaba Abor, Haruna Issahaku, Mohammed Amidu, and Victor Murinde 10.1 INTRODUCTION There are at least three motivations for examining the effects of fnancial inclusion on growth: the low level of fnancial inclusion in countries that need economic growth most (low-income countries), the lacklustre growth in sub-Saharan Africa (SSA) in recent times, and a realisation of the role of fnancial inclusion in accomplishing the United Nations Sustainable Development Goals (SDGs). Each motivation is substantiated in chronological order. First, while fnancial inclusion (particularly, account ownership) has almost reached a saturation point in high-income countries, low-income countries have yet to make any signifcant progress in ensuring fnancial inclusion. Meanwhile, these low-income economies need fnancial inclusion the most in order to jumpstart inclusive development. On the basis of the Findex data provided by Demirgüç-Kunt, Klapper, Singer, and Oudheusden (2015), about 90.6% of adults in high-income countries and 94% in highincome OECD countries own a bank account, while only 27.4% of adults in low-income countries own a bank account. Similarly, while 75.1% and 79.7% respectively of adults in high-income and high-income OECD countries have a debit card, only 6.6%% of adults have a debit card in low-income countries. This means that immerse opportunities exist in poor countries for extending fnancial inclusion for economic development. Second, on the basis of International Monetary Fund (IMF) data (IMF, 2018), in 2016, SSA, the poorest region in the world, experienced its lowest growth in over 20 years. From 3.4% in 2015, growth in the region fell considerably to 1.4% in 2016. Notwithstanding the fact that growth picked up in 2017 (2.7%), it was still jaded. This appalling growth is attributable to falling commodity prices, unsupportive global economic environment, and structural bottlenecks in some countries in the region. In particular, resource reliant economies such as Angola, Nigeria, and South Africa have bowed to the repercussions of low crude oil prices as revenues have been severely affected. Inopportunely, these are the three largest economies in the subregion, and for that matter, their weaknesses spill over into other countries in the subregion. These three economies respectively grew by 0.0%, -1.5%, and 264 Joshua Yindenaba Abor et al. 0.3% in 2016. Some non-oil-dependent economies are, however, performing impressively by experiencing growth in excess of 6%. These include Côte d’Ivoire, Ethiopia, Kenya, and Senegal. Clearly, fnancial inclusion has a role to play in accelerating growth in the SSA region. Third, fnancial inclusion is indispensable to the attainment of the SDGs. Consequently, fnancial inclusion has been integrated into the SDGs, where it features prominently as a target in eight of the 17 SDGs: SDG 1 – eradicating poverty. SDG 2 – ending hunger, achieving food security, and promoting sustainable agriculture. SDG 3 – improving health and well-being. SDG 5 – achieving gender equality and economic empowerment of women. SDG 8 – promoting economic growth and jobs. SDG 9 – supporting industry, innovation, and infrastructure. SDG 10 – reducing inequality. SDG 17 – strengthening the means of implementation. As an example, one of the targets of SDG 8 is to ‘strengthen the capacity of domestic fnancial institutions to encourage and expand access to banking, insurance and fnancial services for all’. This means that the future of the world depends so much on our ability to extend a wide range of fnancial services to the poor and marginalised. In this way, a more succinct understanding and vigorous pursuit of fnancial inclusion will be a vital contribution towards attaining these lofty global goals (SDGs). The rest of the chapter is structured as follows. Section 10.2 defnes fnancial inclusion and provides a guide to its measurement. Section 10.3 describes the trends in fnancial inclusion. Section 10.4 discusses the determinants of and barriers to fnancial inclusion. Section 10.5 assesses the link between inclusive fnance and fnancial development. Section 10.6 examines the effect of inclusive fnance on economic growth. Section 10.7 discusses the roles of institutional architecture in the fnancial inclusion–economic development nexus. Section 10.8 concludes the chapter. 10.2 CONCEPTUALISING FINANCIAL INCLUSION ‘Financial inclusion’, an antidote to fnancial exclusion, has become a buzzword in policy, academic, and practitioner circles. However, conceptualising fnancial inclusion remains an unsettled matter. While there is almost a consensus on the defnition of ‘fnancial inclusion’, the issue of measurement remains unsettled. Allen, Demirgüç-Kunt, Klapper, and Peria (2016) defne ‘fnancial inclusion’ simply as the ‘usage of formal fnancial services’ (p. 2). The World Bank defnes ‘fnancial inclusion’ as the case where ‘individuals and businesses have access to useful and affordable fnancial products and services that meet their needs – transactions, payments, savings, credit and insurance – delivered in a responsible and sustainable way’ (www.worldbank.org/en/topic/fnancialinclusion). For the African Development Bank (AfDB, 2012), ‘fnancial inclusion’ means ‘all initiatives that Chapter 10 • Financial inclusion and economic growth 265 make formal fnancial services Available, Accessible and Affordable to all segments of the population’ (p. 26). According to the Centre for Financial Inclusion, fnancial inclusion is a ‘state in which everyone who can use them has access to a full suite of quality fnancial services, provided at affordable prices, in a convenient manner, with respect and dignity’ (www.centerforfnancialinclusion.org/). Diniz, Birochi, and Pozzebon (2012) view fnancial inclusion as making formal fnancial services accessible and affordable to all individuals, especially those with low incomes. On the basis of the foregoing defnitions, we present a broad (‘consensus’) defnition for fnancial inclusion as follows. ‘Financial inclusion’ can be defned as eliminating obstacles to fnancial products and services (such as credit, investment, savings, insurance, fnancial technology, and payments) for everybody in the economy (rich or poor, all adults, rural or urban dweller, educated or uneducated) and establishing a platform, or framework, or a system which produces low-cost, fair, convenient, safe, quality, and sustainable fnancial services and products and facilitates access to and the usage of these products and services by all, at all times. The conceptualisations suggest that fnancial inclusion can be viewed as a state concept or as a process concept. Financial inclusion as a state pertains if all the ideals of fnancial inclusion (ingredients) are present in fxed measures. Should there be a change in any of the ideals, then the state of fnancial inclusion changes. In this light, an individual can be described as being fnancially included or excluded. In addition, there are degrees of exclusion and inclusion that describe various states of fnancial inclusion or exclusion. However, fnancial inclusion as a process entails the mechanism or path followed to change fnancial inclusion from one state of equilibrium to another. Thus, the process leads to the state. In terms of measurement, most empirical studies measure fnancial inclusion by using one or more single-variable measures, such as the ownership of bank account, number of accounts per 1000 adults, number of bank branches per 100,000 adults, savings capacity, and insurance penetration, among others. However, these single-variable measures have been criticised for being too narrow to convey the multidimensional nature of fnancial inclusion. Now, the trend in the literature is to construct a fnancial inclusion index on the basis of some identifed dimensions. Sarma (2012) constructs a fnancial inclusion index with three main dimensions, namely the penetration of fnancial services, the availability of fnancial services, and the usage of fnancial services. In a similar vein, the Financial Inclusion Data Working Group of the Alliance for Financial Inclusion (2011) has proposed three dimensions of fnancial inclusion: 1 Access refers to availability of formal fnancial services in terms of physical proximity and affordability. 2 Quality entails designing and customising fnancial services to the satisfaction of consumers. 3 Usage refers to the regularity, frequency, and duration of using fnancial services. 266 Joshua Yindenaba Abor et al. A more succinct (and universal) view of fnancial inclusion in three-dimensional form was provided by Hall (2014). The components of Hall’s threedimensional view of fnancial inclusion (FI3D) are fnancial participation, fnancial capability, and fnancial well-being. Each dimension embodies several subdimensions: 1 Financial participation refers to the affordability of, having access to, and the usage of formal fnancial services and products (accounts, credit, deposits, investment, insurance, fnancial technology, and payments). 2 Financial capability measures the deployment of fnancial inclusion to enhance the capability of the individual to effectively participate in the formal fnancial system. It entails the ability of the individual to make prudent fnancial decisions, effectively undertake fnancial planning and budgeting, and be fnancially literate and keep up to date with fnancial innovations and trends. 3 Financial well-being measures the degree to which fnancial inclusion has improved the quality of life and well-being of the individual. It measures fnancial inclusion–induced improvements in fnancial quality of life, amelioration of hardship, curtailment of over-indebtedness, fnancial self-suffciency, and livelihood sustainability. Thus, Hall’s conceptualisation collapses the three elements of fnancial inclusion proposed by Alliance for Financial Inclusion Financial Inclusion Data Working Group (2011) (access, quality, and usage) into one broad dimension: fnancial participation. 10.3 TRENDS IN FINANCIAL INCLUSION Compared to the rest of the world, fnancial inclusion is low in SSA (Table 10.1). However, the trend shows improvement. The percentage of adults who had any form of bank account in 2017 was 68.5% globally, compared to 42.6% in SSA. Again, while 62% of adults aged 15 and above had some form of account in 2014 globally, only 34.2% had an account in SSA in the same period. Globally, the percentage of adults with an account increased from 50.6% in 2011 to 68.5% in 2017. Similarly, in SSA, the percentage of adults with an account increased from 23.2% in 2011 to 42.6% in 2017. Unfortunately, vulnerable groups such as women, the unemployed, and the poor have the lowest incidence of fnancial inclusion (in terms of owning a bank account), both in the world and in SSA. The incidence of fnancial inclusion is lower with respect to accounts with formal fnancial institutions. While the percentage of adults with an account in a formal fnancial institution increased from 50.6% in 2011 to 67.1% in 2017 worldwide, in the case of SSA, the same increased from 23.9% in 2011 to 32.8% in 2017. This highlights that the growth in global trend in formal account ownership is faster than that of SSA. Thus, efforts have to be doubled to extend basic fnancial accounts to the unbanked in the region. In the academic, policy, and practitioner circles, more value is placed on using an account than on the mere owning of account, as somebody may Chapter 10 • Financial inclusion and economic growth 267 TABLE 10.1 Trends in fnancial inclusion: SSA and world Financial inclusion measure SSA World 42.6 34.2 23.2 68.5 62 50.6 32.8 28.8 23.2 67.1 61.2 50.6 Mobile money account (% age 15+) All adults, 2017 All adults, 2014 20.9 11.6 4.4 2.1 Account, by individual characteristics (% age 15+), 2017 Women Adults belonging to the poorest 40% Adults out of the labour force Adults living in rural areas 36.9 31.9 31.4 39.5 64.8 60.5 59.3 66 Digital payments in the past year (% age 15+) Made or received digital payments, 2017 Made or received digital payments, 2014 Used an account to pay utility bills, 2017 Used an account to receive private sector wages, 2017 Used an account to receive government payments, 2017 Used the internet to pay bills or to buy something online, 2017 Used a mobile phone or the internet to access an account, 2017 Used a debit or credit card to make a purchase, 2017 34.4 26.9 7.7 5.7 7.3 7.6 20.8 7.5 52.3 41.5 22.3 15.9 16.3 29 24.9 32.6 5.5 7.1 13.4 13.7 Domestic remittances in the past year (% age 15+), 2017 Sent or received domestic remittances through an account Sent or received domestic remittances through an OTC service Sent or received domestic remittances through cash only 22.7 11 9.4 .. .. .. Saving in the past year (% age 15+) Saved at a fnancial institution, 2017 Saved at a fnancial institution, 2014 Saved at a fnancial institution, 2011 Saved using a savings club or person outside the family, 2017 Saved any money, 2017 Saved for old age, 2017 14.9 15.8 14.3 25.3 54.4 10.3 26.7 27.3 22.6 .. 48.4 20.6 Credit in the past year (% age 15+) Borrowed from a fnancial institution or used a credit card, 2017 Borrowed from a fnancial institution or used a credit card, 2014 Borrowed from family or friends, 2017 Borrowed any money, 2017 Credit in the past year (%, age 15+), 2017 8.4 7.5 31 45.7 4.7 22.5 22.3 25.8 47.5 11.2 Account (%, age 15+) All adults, 2017 All adults, 2014 All adults, 2011 Financial institution account (% age 15+) All adults, 2017 All adults, 2014 All adults, 2011 Inactive account in the past year (% age 15+), 2017 No deposit and no withdrawal from an account No deposit and no withdrawal from a fnancial institution account Source: Demirgüç-Kunt et al. (2015, 2018) Note: Except when otherwise indicated, all statistics relate to 2017 268 Joshua Yindenaba Abor et al. have an account but the account has been dormant for months or years. SSA has a lower proportion of adults with a dormant account than that of the global average. The percentage of adults who neither deposited into nor withdrew from a fnancial institution account in 2017 was 13.7% for the world and 7.1% for SSA. There is an upsurge in the use of digital fnancial services. Globally, the proportion of adults who received or made digital payments increased from 41.5% (26.9%) in 2014 to 52.3% (34.4%) in 2017, an increase of about 10.8% (7.5%) over the four-year period. Generally, SSA lags behind the global average with respect to account usage indicators such as the receipt of wages and government transfers through a formal account, the use of an account to pay bills, and making online transactions. This is largely due to the relatively large informal sector in the region, which encourages payments through informal channels. The share of Africa’s informal sector in GDP is 38% compared to 24% of the GDP for Europe. This means that formalisation can be a key driver of fnancial inclusion. One of the important indicators of fnancial inclusion is savings. The Harod–Domar model highlights how the accumulation of savings can help a nation realise its growth potentials. Savings is important because it is the building block of investment. Moreover, without investment, no signifcant economic progress can occur. Globally, the proportion of adults who save in a fnancial institution is low, and the trend is showing stagnation. Worldwide, the percentage of adults who saved with a fnancial institution increased from 22.6% in 2011 to 27.4% in 2014 but dropped to 26.7% in 2017. Meanwhile, in SSA the percentage of adults who saved with a fnancial institution increased marginally from 14.3% in 2011 to 15.9% in 2014 and declined slightly to 14.9% in 2017. Thus, though the formal savings rate in SSA lags behind the global fgures, the savings rate is stagnating both worldwide and in SSA. Some barriers to formal savings include distance to a fnancial institution and low interest rates on savings. Formal savings are emphasised, as opposed to informal savings, because of the many risk involved in informal savings mechanisms and the ability for formal savings to generate several other deposits through the deposit multiplier. Although credit is indispensable to the growth of enterprises, access to credit remains an intractable problem worldwide. Globally, the percentage of adults who borrowed from a formal fnancial institution or used a credit card was 22.5% in 2017, up from 22.3% in 2014. Similarly, in SSA, the percentage of adults who borrowed from a formal fnancial institution was 8.4% in 2017, up from 7.5% in 2014. Informal sector frms suffer the most when it comes to accessing fnance due to a wide range of issues, including, but not limited to, a lack of usable collateral, a lack of valid business registration documents, the distance to fnancial institutions, and a low level of fnancial literacy. 10.4 DETERMINANTS OF AND BARRIERS TO FINANCIAL INCLUSION Determinants of and barriers to fnancial inclusion can be usefully categorised into demand-side factors and supply-side factors. On the one hand, demand-side factors entail forces, circumstances, and characteristics from Chapter 10 • Financial inclusion and economic growth 269 the side of the consumer which affect or impede the uptake of fnancial inclusion. On the other hand, supply-side factors involve constraints that arise from market failures, which affect or constrain the provision of fnancial services. 10.4.1 Supply factors Infrastructure such as transportation, energy, communications, and fnance are needed to provide quality fnancial services to a large number of people. Meanwhile, these types of infrastructure are either lacking, inadequate, or in poor condition in most developing countries and in rural areas in particular. Financial institutions are unwilling and unable to set up outlets in areas where such key infrastructure facilities are lacking. That is why it is unsurprising that fnancial inclusion rates are lowest in rural and economically disadvantaged settlements. Globally, the amount needed to meet infrastructure needs by 2040 is estimated at USD94 trillion (Global Infrasturture Hub, 2017). Although Asia has the largest investment need (needing about 50% of overall global infrastructure), Africa and the Americas are forecasted to have the largest infrastructure gap. The infrastructure investment gap in these regions are estimated at 28% and 32% respectively. Africa’s infrastructure investment gap widens to 43% when infrastructure needed to meet the SDGs are incorporated. Putting in place supportive infrastructure will help extend fnancial inclusion to millions. The costs of obtaining information and enforcing contracts are prohibitive in a number of poor countries. Financial institutions often fnd it expensive to provide fnancial services to poor individuals who are located in deprived areas, where transaction costs are high. The poor state of infrastructure or the lack of it exacerbates transaction costs. Banks and other fnancial institutions are therefore more comfortable dealing with rich individuals, large frms, and the government than with the poor, who are often classifed as ‘unbankable’. Digital fnance provides an avenue for reducing the cost of extending fnance to the poor. Mobile payments can lower the cost of providing fnancial services by 80% to 90%, enabling providers to serve lower-income customers proftably (McKinsey & Company, 2016). Among transaction costs factors, fxed costs are of signifcant consequence when it comes to extending fnancial inclusion to the poor. Beck and de la Torre (2007) have discussed these fxed costs to include clientlevel and transaction-level fxed costs, such as the costs of maintaining an account for an individual client and the costs of processing a transaction, which are partly independent of the value, number, and size of transactions respectively. At the fnancial institution level, fxed costs include physical infrastructure such as headquarters and a branch network; ICT infrastructure; and legal, accounting, and security services (these being independent of the value and volume of transactions processed or the number of clients served). At the fnancial system level, fxed costs include regulatory costs and costs of settlement and payments facilities, which are partly independent of the number of fnancial institutions regulated or involved in the payment space. The scale diseconomies arising from these fxed costs make 270 Joshua Yindenaba Abor et al. it unviable to extend fnancial services and payment systems unless these diseconomies can be captured in some form or the other. Settlements in rural and less-populated areas are often dispersed, and this increases the cost of providing fnancial services to these areas relative to return on the capital employed. Fixed costs in particular become more binding in rural and less-populated communities where the market size is unproftably small. Weighing the size of the market against the fxed costs, a fnancial institution is usually reluctant to set up a branch or network in an area with a small and dispersed population, especially when the demand for fnancial services in urban areas is surging. Banks have often had to close branches in areas that they initially thought would be promising for business but where the reality proved different. SSA has the lowest population density in the world, with an average population per square kilometre of 40 overall and 14 in rural areas (World Bank, 2014). This could increase the cost of extending fnancial services in the region. Thus, if governments are not willing to capture these costs, fnancial inclusion will remain a dream to many in the region. Regulation can affect fnancial inclusion in several ways. First, regulations can serve as a disincentive to fnancial inclusion. The quest to quell money laundering and terrorism fnancing has forced central banks to put up stringent measures to enable the detection and interception of illicit fnancial fows. Such stringent regulatory measures can serve as signifcant stumbling blocks for the poor. For instance, ‘know your customer’ requirements, which demand overly elaborate disclosure and documentation, may discourage the poor from opening bank accounts and from using formal fnancial services. This is because, the poor usually do not have the proper identifcation documents, land titles, and evidence of bills payments, among other documents, required to access formal fnancial services. Second, weak regulatory oversight can lead to the collapse of fnancial institutions and roll back the clock of time on fnancial inclusion. Third, suboptimal regulation can lead to the underproduction of fnancial services in the economy by leading to and reinforcing ineffciencies in the fnancial system. Lastly, overregulation can hinder fnancial innovation by either stifing, being unreceptive to, or penalising fnancial frms that seek to introduce new fnancial services and technologies into the regulatory environment. 10.4.2 Demand-side factors Although there have been improvements in literacy on the whole, about 774 million adults cannot read and write, representing one-ffth of the global population (Carr-Hill & Pessoa, 2008). This represents a waste of potential human capital and economic productivity capacity. Most of these nonliterate adults are concentrated in South and West Asia, SSA, East Asia and the Pacifc. In terms of gender, they are mostly women. In terms of geography, they are mostly located in rural areas. Such high levels of illiteracy dovetail into poor decision-making and lack of capacity to take advantage of opportunities, including fnancial inclusion–related opportunities. Even though fnancial literacy is more of a problem to the nonliterate, it is a problem for Chapter 10 • Financial inclusion and economic growth 271 the literate as well. A low level of fnancial literacy leads to poor fnancial choices, poor fnancial planning, unnecessary risk taking, and using fnancial services and products less, among others. Accessing and using fnancial services often do not come free or cheap. For instance, some minimum amount is often required to open an account even though now some banks have instituted no-frill accounts. In terms of digital fnance, at least one must be able to afford a phone or other electronic device to enjoy digital fnancial services. This means that in areas where poverty is prevalent, fnancial inclusion is likely to suffer. Unsurprisingly, fnancial inclusion penetration rates are lowest in low-income countries rather than in high-income countries. Thus, reducing poverty can remove an important roadblock to fnancial inclusion. The Findex Database 2018 shows that, in all cases and in all regions of the word, adults belonging to the poorest 40% of the population are on average less likely to own a bank account. For instance, while 70.6%, 65.3%, 54.4%, 43.5%, 69.6%, 42.6% of all adults, respectively in East Asia and Pacifc, Europe and Central Asia, Latin America and the Caribbean (LAC), the Middle East and North Africa, South Asia, and SSA has any form of account, 59.3%, 56.3%, 41.9%, 35.3%, 65.6%, 31.9% of the poorest 40% respectively has an account in these regions. Behavioural economics points to some cognitive predispositions which can lead to suboptimal decisions and outcomes. These cognitive tendencies can affect the degree of fnancial inclusion at various levels and fronts. For instance, cognitive biases that tend to favour the present ahead of the future (present bias) can lead to undersaving and investment (Karlan, Ratan, & Zinman, 2014). These behavioural biases may be in the form of preferences (costly self-control, loss aversion), expectations (overconfdence), price preferences (underestimating compound interest), and diffculty in making complex and contingent decisions (planning fallacies, limited attention, inability or unwillingness to save, problem with numbers, and mental accounting). For a comprehensive review of the impact of behavioural biases on savings, see Karlan et al. (2014). Cognitive biases affect fnancial inclusion in several ways. Loss aversion is often invoked to limit borrowing; present bias leads to undersaving and a greater focus on current consumption; overconfdence in future cashfows can lead to undersaving in the current period; underestimating compound interest can lead to high loan default rates; and biases in problem-solving can lead to suboptimal decisions, which can affect various fnancial inclusion indicators. Apart from the determinants just discussed, there are some individual level characteristics and societal level factors that impede fnancial inclusion. At the individual level, these include age and gender (women are less likely to be fnancially included). At the societal level, factors include religion, culture, and law and order. Other barriers to fnancial inclusion include documentation requirements and trust issues. Dasgupta (2009) summarises the causes of fnancial exclusion as follows: 1 Geographical – that is, nonexistence of branches in an area. 2 Access exclusion – that is, restricted access because of bank’s risk assessment process. 272 Joshua Yindenaba Abor et al. 3 Condition exclusion – that is, conditions related to products failing to meet needs. 4 Price exclusion – that is, charges associated with products or services are high. 5 Marketing exclusion – that is, strategic exclusion of certain products. 6 Self-exclusion – that is, some sections of the population refuse to approach banks, believing that any request will be turned down (p. 41). 10.5 INCLUSIVE FINANCE AND FINANCIAL DEVELOPMENT In recent times, the emphasis of economic policy has been on fnancial inclusion. Not only is fnancial inclusion good for welfare, but it also has the capacity to promote fnancial development, particularly fnancial stability. Financial inclusion enables the poor and low-income earners, who have more stable savings and borrowing appetite, to participate in the formal fnancial system. In times of crises, deposits from retail clients serve as a more stable funding source for banks in contrast to wholesale funding sources, which cease during crises periods (Neaime & Gaysset, 2018). Furthermore, fnancial inclusion enables banks and other fnancial institutions to discover new business areas by reaching out to a vast majority of the unbanked and underbanked in developing countries. In this regard, fnancial inclusion enables banks to diversify across locations, fnancial products and services, and income groups. This enhances the resilience of fnancial markets and institutions. Again, fnancial inclusion increases the effciency of monetary policy by increasing the number of participants in the formal fnancial system, thereby increasing the scope for monetary policy. A more fnancially included economic environment ensures that monetary policy signals are effectively transmitted to the real sector. This is contrasted with fnancial development, where few people are in the formal fnancial system impeding the fow of monetary signals to the real sector. Also, by bringing a lot of previously unbanked and underbanked customers closer to the formal fnancial system, fnancial inclusion ameliorates information asymmetry, allowing banks to roll out cost-effective fnancial models (Ahamed & Mallick, 2017). This reduction in information asymmetry mitigates fnancial vulnerability by improving loan recovery while reducing a bank’s bad loan portfolios. The empirical literature supports the fnancial sector’s stabilising role of fnancial inclusion. Ahamed and Mallick (2017) studied the impact of fnancial inclusion in 2,600 banks across 86 economies over the period 2004–2012. They found that fnancial inclusion promotes fnancial stability, especially in banks that have signifcant customer deposit profles and those with smaller marginal costs of delivering fnancial services and in banks operating in countries with better institutional quality. In a sample of the Middle East and North Africa (MENA) region over the period 2002–2015, Neaime and Gaysset (2018) found fnancial inclusion to boost banking sector resilience by stabilising the deposit-funding base in the region. Using a panel of 97 countries over the period 2004–2012, Rasheed, Law, Chin, and Chapter 10 • Financial inclusion and economic growth 273 Habibullah (2016) similarly found fnancial inclusion to positively infuence two indicators of fnancial development: credit to private sector and stock market turnover ratio. Thus, the empirical evidence largely dispels one of the notions that banks have, which prevents them from extending fnance to the poor: fnancial inclusion will disrupt the soundness of the fnancial system. Notwithstanding the evidence in support of the ability of fnancial inclusion to foster fnancial development, there is still a section of the literature that argues that fnancial inclusion can increase the vulnerability of the fnancial system by bringing into the banking system those individuals and businesses that are high-risk borrowers (see Box 10.1 for more on this argument). BOX 10.1 The dark side of fnancial inclusion ‘So far, we have focused on the ‘bright side’ of fnancial inclusion. Unfortunately, there can be a ‘dark side’ too. Partly in response to the global fnancial crisis – and also inspired by Raghu Rajan’s, 2005 Jackson Hole paper – a growing body of research questions whether fnance is always good for growth, suggesting that ‘too much’ or ‘too fast’ fnance can plant the seeds of future fnancial crises (Arcand, Berkes, & Panizza, 2015; Gourinchas & Obstfeld, 2012; Mian & Suf, 2014; Schularick & Taylor, 2012). This vulnerability is not an exclusive feature of fnancial markets in advanced economies. During the microcredit crisis in India in 2010, the state government of Andhra Pradesh, worried about widespread overborrowing and alleged abuses by microfnance collection agents, issued an emergency ordinance, bringing microfnance activities in the state to a complete halt. This large contraction in microcredit supply translated into large negative effects on the labour market and on consumption (Breza & Kinnan, 2018). More recently, the assessment of the JDY programme in India presented by Agarwal et al. (2018) also shows evidence of an increase in loan defaults in areas more exposed to the programme, pointing to a trade-off between inclusion and stability’. Beck, Peria, Obstfeld, and Presbitero (2018) 10.5 INCLUSIVE FINANCE AND ECONOMIC GROWTH We frst look at the fnancial inclusion–economic growth transmission channels and then discuss the empirical literature on the fnancial inclusion and inclusive growth and development nexus. 10.6.1 The fnancial inclusion–economic growth transmission channels Theoretically, fnancial inclusion can promote economic growth and development through the following channels: capital accumulation, innovation and entrepreneurship, income and employment, opportunities for diversifcation, productivity, and fnancial security. 274 Joshua Yindenaba Abor et al. Financial inclusion promotes the accumulation of savings in the banking system and in other fnancial intermediaries. These savings serve as capital for investment in productive ventures. Again, these savings deposits are transformed into loans and other fnancial products to support the investment plans of defcit spending units. The savings triggered by fnancial inclusion are broad based and ensure the mobilisation of resources from economic units (rural and poor households) that were otherwise considered unable to save. The quality of human capital is an indisputable precursor to economic growth. Meanwhile, the quality of human capital determines the degree of innovation and entrepreneurship in an economy. Financial resources are critical to the training and capacity development of human capital. Households and small and medium-size enterprises (SMEs) that are fnancially included are more able to fnd the fnancial resources to fund their education and training needs than their counterparts who are excluded from the formal fnancial system. Even in situations where individuals cannot pay education fees out of pocket, an inclusive fnancial system will enhance access to affordable credit and other avenues of support, be they private or governmental. Financial inclusion provides new, affordable, and convenient means of paying school fees. A well-trained workforce is able to generate inventions and bring innovative solutions to societal problems. Such new inventions and innovations bring about drastic increases in output and economic growth. Financial inclusion spurs entrepreneurship by providing access to capital, stimulating fnancial literacy, and imparting business management skills to individuals who otherwise would have been deprived of opportunities to live their dreams, because of fnancial exclusion. Financial inclusion provides business and employment opportunities for individuals, households, fnancial institutions, and governments. Financial inclusion provides both direct and indirect employment. The indirect jobs provided by fnancial inclusion are more diffcult to estimate but are likely to be greater in number than the direct jobs. Financial inclusion affords banks and other fnancial intermediaries opportunities to reach out to the untapped unbanked population through the development of innovative fnancial services and delivery mechanisms for the poor. In doing so, these fnancial institutions create new job openings, enhance their proftability, and strengthen their position in the fnancial system. Entrepreneurship is facilitated in these new locations, leading to improvements in the performance of SMEs. In a nutshell, fnancial inclusion engenders job creation both directly and indirectly and yields income to benefciaries therefrom. By making funds available to a wide range of investors, fnancial inclusion increases the range of economic choices available to individuals, households, and businesses, leading to economic diversifcation. By helping poor people and SMEs to save and borrow, build assets, insure against the unforeseen, and make and receive payments with ease, fnancial inclusion enables the production of diverse goods and services, access to various markets (locally and internationally), and the diversifcation of income sources. This increases the economic resilience of benefciary individuals, Chapter 10 • Financial inclusion and economic growth 275 households, and businesses and subsequently cascades into a more resilient and stable macroeconomy. Through diversifcation, fnancial inclusion serves as a risk management mechanism, reducing borrowers’ reliance on vulnerable sources of output, markets, and income. Many economic agents are not as productive as they should be, because of fnancial exclusion, which makes them unable to provide the needed inputs at the required quantities at the right time to support production or take advantage of promising opportunities. With access to fnance, rational economic agents can employ the right quantities of labour, capital, technology, and other factors in order to boost productivity. By spurring innovation and entrepreneurship, fnancial inclusion extends the frontier of production, helping economic agents attain new productivity heights. Financial inclusion opens up the range of fnancial choices available to the poor, enables the poor to accumulate capital over the long run, facilitates long-range investment and consumption planning, and enhances the capacity of households to absorb economic and fnancial shocks. From a theoretical perspective, fnancial inclusion promotes economic growth and inclusive development by enabling capital accumulation, stimulating entrepreneurship and innovation, generating direct and indirect job opportunities, promoting economic diversifcation, boosting productivity, and ensuring fnancial security. 10.6.2 Empirical evidence on fnancial inclusion and inclusive growth and development At least since Schumpeter (1912), fnancial development has been closely linked to economic growth. However, empirical evidence on the real effects of broad-based access to fnance on growth is relatively nascent. The empirical evidence generally supports a positive impact of fnancial inclusion on growth and development, though the impact varies from no impact, to moderate, to large. Evidence from India supports the claim that broad-based fnancial access fosters growth. In a study conducted between 2004 and 2013 and using vector auto regression (VAR) and the Granger causality test, Sharma (2016) concluded that various dimensions of fnancial inclusion promoted economic growth in that country. The Granger causality test revealed bidirectional causality between the geographic outreach of banks and economic growth; unidirectional causality between the number of deposits/ loan accounts and the amount of growth; and no causality between using bank services and economic growth. Another study in India by Lenka and Sharma (2017) using data from 1980 to 2014 showed that fnancial inclusion has a positive effect on economic growth in both the short run and long run. This study, unlike the previous ones, found a unidirectional causality running from fnancial inclusion to economic growth. Swamy (2014) examined the economic impact of fnancial inclusion in India from a gender perspective. Using panel data from 2007 to 2012, Swamy found a positive gender premium effect in fnancial inclusion on income in favour of women. Specifcally, fnancial inclusion programmes 276 Joshua Yindenaba Abor et al. were found to increase incomes (after adjusting for infation) of women by 8.40%, compared to 3.97% for men. Swamy explained that women had better awareness of fnancial inclusion instruments, used fnancial inclusion to improve household savings, and employed fnancial inclusion in ways that improved welfare. Recent evidence from 55 Organisation of Islamic Cooperation (OIC) countries by Kim, Yu, and Hassan (2018) confrmed a positive impact of fnancial inclusion on growth using supply-side fnancial inclusion measures such as number of ATMs per hundred thousand, bank branches per hundred thousand, number of borrowers from commercial banks per one thousand, and life insurance premium volume to GDP. The study covered the period 1990–2013. In line with Sharma (2016) but unlike Lenka and Sharma (2017), Kim et al. (2018) found bidirectional causality between fnance and economic growth. Demand-side data from Ghana support a positive effect of fnancial inclusion on inclusive growth. First, on the basis of the Ghana Living Standard Survey data (GLSS 6), Abor, Amidu, and Issahaku (2018) documented positive effects of mobile telephony (ownership and usage) and fnancial inclusion (access to a bank account, savings, credit, and insurance) on inclusive growth measures such as poverty and real per capita consumption. However, unlike Swamy (2014), Abor et al. (2018) did not fnd the effect of fnancial inclusion on inclusiveness of growth to be more pronounced in women-headed households than in men-headed households. Again, they did not fnd the impact to be greater in rural households than in urban households. Using the same dataset, Abu and Issahaku (2017) highlighted a positive impact of fnancial inclusion on agricultural commercialisation (see Box 10.2 for more exposition of the fnancial inclusion success story in SSA). Evidence from randomised control trials offers less-optimistic results of the impact of fnancial inclusion on development.2 For instance, as an introduction to the 2015 American Economic Journal issue on microcredit experiments, Banerjee, Karlan, and Zinman (2015) arrived at the conclusion that the most consistent fnding from most studies is that the real effects of microcredit on poverty are modest but not transformative, even in the case of women’s empowerment. Borrower heterogeneity is offered as the reason for this less enthusiastic result. In line with this, Banerjee, Breza, Dufo, and Kinnan (2018) have recently shown that while microcredit had a persistent effect on business activity and consumption for individuals who already had business before the intervention, the impact on beginner entrepreneurs was negligible. Another recent study in the MENA region found that while fnancial inclusion reduced inequality, it had no signifcant impact on poverty reduction in that region (Neaime & Gaysset, 2018). Further, a review by Clark, Harris, Biscaye, Gugerty, and Anderson (2015) of seven RCTs on impacts of credit interventions in various African countries produced mixed results. The RCT by Ashraf, Giné, and Karlan (2009) in Kenya produced positive signifcant impact of credit on production, but no signifcant impact on income/wealth; the RCT by Beaman, Karlan, Thuysbaert, and Udryet (2014) in Mali showed a positive signifcant impact on production; another RCT in Kenya by Burke (2014) showed no Chapter 10 • Financial inclusion and economic growth 277 signifcant impact of credit on income/wealth and consumption/food security; the RCT by Fink, Jack, and Masiye (2014) in Zambia revealed positive impacts on income/wealth and resilience and mixed impacts on consumption/food security; the RCT in Morocco by Crépon, Devoto, Dufo, and Pariente (2014) produced mixed impacts on income/wealth and nonsignifcant impacts on consumption/food security; the RCT by Kim et al. (2009) in South Africa found mixed impacts on consumption/food security; and the RCT by Tarozzi et al. (2015) in Ethiopia showed no signifcant impacts on income/wealth and a negative impact on consumption/food security. Evidence from quasi-natural experimental studies offers moreencouraging results. On the basis of Mexican data, Bruhn and Love (2014) found fnancial inclusion in the form of branch expansion by banks to have a considerable impact on labour market activity and income of deprived individuals and people who lived in locations that hitherto had low bank outreach. Similarly, Burgess and Pande (2005) found that branch expansion by rural banks could explain between 14 and 17 percentage point decreases in headcount poverty in rural India. BOX 10.2 Financial inclusion is a sub-Saharan success story ‘In 2014, the US-based think tank Brookings Institution launched its fnancial and digital inclusion project to examine access to and usage of secure, affordable, formal fnancial services among the underserved populations of the world. The project has since reported twice annually on the nature and extent of fnancial inclusion. In its 2016 report, it scores best practice in terms of country commitment, mobile capacity, regulatory environment, and level of actual adoption. It fnds once more that sub-Saharan Africa is well represented in the top ten: Kenya (84%), Uganda (78%), South Africa (78%), Rwanda (76%), and Nigeria (72%) account for half of the top ten. Indeed, Kenya takes the number one slot for the second year running, thanks to its mobile money revolution. The Brookings Institution report does not cover countries such as the US that are affuent generally. However, it points out that about 8% of households in the US do not have a bank account and that these households suffer extra costs and burdens as a result, just as nonaccount holders do in the developing world. Sub-Saharan Africa’s people have achieved better fnancial inclusion mainly because of the widespread availability of cheap mobile phone networks and the adoption of mobile money platforms. The mobile operator body GSMA estimates that another 168 million Africans will be connected by mobile phone and money networks over the next fve years, with the total reaching 725 million by 2020. Innovations such as the M-Pesa mobile phone–based money transfer system in Kenya, which has revolutionised the lives of both the rural and urban poor, offer people alternatives that did not exist 278 Joshua Yindenaba Abor et al. only a short while ago. Today, a phone can not only let people get hold of money in a remote rural setting, at any time of the day or night, but also let them borrow and lend, settle utility bills and loans, receive their salary, make deposits, buy goods, and view detailed statements of transactions – all in much the same way as happens with traditional banks. The latest innovation is that Kenyans can directly pay for government services such as the renewal of licences and permits by using their mobile phones. Mobile phones have also empowered women and reduced poverty by allowing social networks to be leveraged so people at the poorest level of society can borrow, help, and support each other. Current trends in the mobile money industry should improve fnancial inclusion in this region further: • Interoperable platforms allow individuals to use their mobile money across different operator platforms. • New technologies such as near feld payment modules allow more people to use their phones in new ways to make and receive money. With 725 million Africans expected to be able to connect and carry out transactions with each other by 2020, there will be substantial new internal opportunities for business as well as personal enrichment for many individuals. Rural farmers, for example, can now receive income from farming as well as the information they need for a better harvest next time, directly via their phones. The fnancial inclusion of the poor thus offers new opportunities for everyone’. Source: www.accaglobal.com/us/en/member/member/accounting-business/2016/1112/insights/success-story1.html RCTs on savings have actually shown a somewhat more robust impact on well-being and even entrepreneurial growth. For instance, Brune, Giné, Goldberg, and Yang (2015) performed an RCT on savings clubs in Malawi. In this trial, farmers were randomly assigned to one of three groups: a control group where there was no facilitation to save, a treatment group where savings facilitation was offered in the form of an ordinary savings account, and treatment group where savings assistance is offered for the provision of access to an ordinary savings account and an additional savings account with commitment devices. The results showed that the treatment group that had savings accounts with commitment devices experienced signifcant expansion in land under cultivation, input use, and crop yield and profts over the control group. The treatment group provided with only ordinary savings accounts saw only gains in land under cultivation over the control group, but not in the other indicators. In a natural experiment on savings, based on Indian data spanning from 1977 to 1990, Burgess and Pande (2005) found that a 1% increase in the share of savings held by rural banks leads to a 2.22% Chapter 10 • Financial inclusion and economic growth 279 reduction in rural poverty. Other feld experiments by Ashraf, Karlan, and Yin (2010), Dupas and Robinson (2013), and Prina (2013) collectively point to signifcant positive impacts of savings on various welfare indicators. While the literature is clear on how fnancial inclusion affects growth, it does not clearly explain how economic growth stimulates fnancial inclusion. Although no adequate explanation has been given as to how growth stimulates fnancial development, it is not hard to fathom how this happens. Four explanations are offered here. First, economic growth increases the capacity of the government to provide the infrastructure required for broad-based access to fnancial services. Second, a growing economy provides the business case for banks and other fnancial institutions to reach out to the unbanked. Third, economic growth increases the fnancial capacity of banks to set up new branches and outlets and to develop and roll out new fnancial services to a large segment of the population. Fourth, broadbased economic growth enhances the capacity of the citizenry, including the poor, to demand various fnancial services to enable them meet their fnancial needs and plans and to take advantage of economic opportunities. 10.7 FINANCIAL INCLUSION AND ECONOMIC DEVELOPMENT: ROLE OF INSTITUTIONS This subsection discusses how institutions moderate the impact of inclusive fnance on economic development. Do institutions play any role in making fnancial inclusion more effective for broad-based development? Since North’s (1990) infuential book Institutions, Institutional Change and Economic Performance, development economists have come to better appreciate the role of institutions in economic development. According to North (1990), ‘institutions are the rules of the game in a society or, more formally, are the humanly devised constraints that shape human interaction’ (p. 3). Institutions are vital because they provide incentives for human actions and because of the nature of these interactions and the benefts that ensue therefrom. Therefore, institutions can determine the nature and extent of the impact of fnancial inclusion on economic growth. Some of the institutional imperatives which can enhance the growth impact of inclusive fnance include strong mechanisms for control of corruption, transparent and accountable governance, protection of property rights, entrenchment of a strong merit system, effective enforcement of law and order, effcient bureaucracies, political stability, and protection of freedoms and human rights, alongside a wide array of progressive habits, norms, and civic values. There are at least four channels through which institutions can enhance the effect of fnancial inclusion on economic development: reducing transaction costs and increasing the effciency of exchange, determining the rate of return on investment, providing the environment for innovation and creativity, and establishing the environment for the effective collaboration and mobilisation of social capital. Reducing transaction costs and increasing the effciency of exchange: institutions ameliorate transaction costs associated with information, transportation, decision-making, and bargaining. Strong institutions ensure 280 Joshua Yindenaba Abor et al. transparency and accountability, which reduce information asymmetries associated with transactions. Institutions establish uniform standards and procedures to reduce red tape and facilitate economic decision-making. Furthermore, institutions facilitate the settling of disputes arising from economic and social transactions, which enable peaceful coexistence and the containment of fraud in transactions. Strong institutions ensure that funds meant for road construction (to reduce transportation cost) and such other fnancial infrastructure are not diverted for private gain. On the contrary, ‘societies with weak institutions can be trapped in a low growth equilibrium fuelled by information asymmetry, coordination failures and other market imperfections’ (Issahaku, Abor, & Amidu, 2018, p. 30). Determining the rate of return on investment: institutions infuence the rate of investment as well as return on investment by reducing the risk and uncertainty involved in economic transactions (by providing stable norms, standards, and procedures), ensuring property rights, and providing protection for investors. For instance, research has shown that when farmers have legal title to land, investment in the land and output increase (see Pande & Udry, 2005). In a number of cases, land and other productive resources have been left idle due to prolonged and wobbly dispute resolution systems perpetuated by weak institutions. Some investors have relocated from certain economies due to the inability of the system to provide protection for them and their properties, thus lowering investment. In some cases, investors do not relocate, but they reduce the amount of investment as a way of mitigating losses. The point being made here is that a household or an investor may have access to funds but may be unwilling to invest, due to institutional constraints, or may invest but the return on the investment is reduced through institutional lapses. Moreover, weak institutions reduce the rate of return on investment by increasing systematic risks and for that matter reducing opportunities for diversifcation and the spreading of risks. Providing the environment for innovation and creativity: creativity and innovation are critical fuels for human prosperity and welfare. Institutions promote creativity and innovation by providing the necessary environment for innovation and creativity to thrive. Institutions unlock creative and innovative potential by establishing the freedom to innovate and be creative, providing protection for intellectual property, promoting investment in human capital, and ensuring the evolution of an educational system that focuses on creativity and innovation. With the suitable atmosphere provided by institutions for creativity and innovation, fnancial inclusion can then ensure the mobilisation of resources for investment in the generation of new ideas, new products, and new services, thereby fostering entrepreneurship, growth, productivity, and development. Establishing the environment for effective collaboration and mobilisation of social capital: institutions are either extractive or inclusive in nature, depending on whether they hinder or foster growth (Acemoglu & Robinson, 2012). Inclusive institutions promote growth, while extractive institutions thwart growth. Inclusive institutions encourage collaborations, networking, and information sharing, which enable the pooling of resources, ideas, and people for the general good of society. Strong institutions Chapter 10 • Financial inclusion and economic growth 281 facilitate the formation of clubs, joint ventures and partnerships, and other such mobilisations of social capital for the promotion of social good. These strong social networks and partnerships established by quality institutions can help unlock the potentials of individuals, and groups and cause them to optimise the benefts from fnancial inclusion products and services.3 We now turn to the empirical support for the foregoing arguments. Recounting the role of institutions in fnance, Qian and Strahan (2007) showed how institutions determine the shape and form of fnancial contracts. According to the study, in economies with strong protections for creditor rights, loan durations are longer and interest rates are lower. Foreign bank ownership shares are shown to decline as creditor protection decreases. Demetriades and Law (2006) assessed how institutions intermediate the fnance–growth nexus and produced some interesting fndings. First, a strong institutional framework magnifes the growth effect of fnance. Second, not many growth dividends end up in poor countries with more fnance but weak institutions. Third, the growth magnifying effect of institutions is highest in middle-income countries endowed with quality institutions. Fourth, though the effect of fnance on growth is lower in high-income countries, this impact improves even in these countries when the fnancial system is rooted in sound institutions. In sum, the study found that fnance promotes long-term growth in countries endowed with quality institutions. On the contrary, in countries where the fnancial system is subsumed by weak institutions, improvements in fnancial systems produce negligible benefts. In a similar vein, Gazdar and Cherif (2015) demonstrate that while fnance variables on their own may sometimes affect growth adversely, institutions turn any negative effect of fnance on growth into a positive one. Specifcally, banking sector advancement promotes growth in countries with strong law and order, low bureaucracy, and a good investment pedigree. Compton and Giedeman (2011) disagree; they fnd banking sector development and institutions to be substitutes in growth, while stock markets are neither substitutes nor complements to institutions in growth. Despite the contradictory fndings, on the balance of empirical evidence and theoretical plausibility, we conclude that institutions play complementary roles to fnance in growth. 10.8 CONCLUSION The main aim of this chapter was to examine the role of fnancial inclusion in promoting economic growth. The areas covered include the conceptualisation of fnancial inclusion, trends in fnancial inclusion, the determinants of and barriers to fnancial inclusion, links between inclusive fnance and fnancial development, the effect of inclusive fnance on economic growth, and the role of institutional architecture in the fnancial inclusion–economic development nexus. It discussed capital accumulation, innovation and entrepreneurship, income and employment, opportunities for diversifcation, productivity, and fnancial security as the main channels through which fnancial inclusion positively affects growth. The chapter identifed 282 Joshua Yindenaba Abor et al. an inadequate and a lack of supportive infrastructure, high transaction costs, regulatory barriers, behavioural biases, a low level of general literacy and fnancial literacy, high poverty rates, and a dispersed population as the factors that limit access to and the usage of fnancial services. Institutions are discussed as being crucial for economic development and improving the growth impact of fnancial inclusion. This is because institutions reduce transaction costs while increasing effciency in exchanges, determine the rate of return on investment, provide the environment for innovation and creativity, and establish the environment for the effective collaboration and mobilisation of social capital. Going forward, developing countries must prioritise fnancial inclusion in policy decisions and implementation to fully reap its benefts. Financial inclusion should be mainstreamed into social protection programmes so that the poor, the marginalised, and the hard-to-reach segments of the population will be roped into the formal fnancial stream. A large informal sector and unbanked population reduces the effcacy of monetary policy, because a greater proportion of the economy will be outside the infuence of the policy authorities. A strong infrastructure backbone is key to the advancement of fnancial inclusion. Due to the cost involved in setting up infrastructure, governmental leadership and support are key factors. Governmental infrastructure plans should incorporate fnancial inclusion. Apart from that, governments should mobilise monetary and nonmonetary resources from banks, other fnancial institutions, telecommunication companies, development partners, and other stakeholders in support of the fnancial inclusion drive. Key infrastructure which must be provided, especially in the hinterlands, to advance fnancial inclusion include electricity, roads and transport, telecommunications network, water and sanitation, and fnancial infrastructure such as credit reference bureaus, banks, other fnancial institutions, and regulatory bodies. Furthermore, digital fnancial services can be leveraged to reduce the cost of providing fnancial inclusion to the poor. Digital fnancial services such as mobile money services, mobile banking, internet banking, biometric payment systems, automated teller banking, and fnancial technology (fntech), among others, must be promoted to ensure the convenient, effcient, safe, and cost-effective delivery of fnancial services. For digital fnancial services to thrive well, a comprehensive and robust regulatory framework that strikes a fne balance between promotion of fnancial innovation and amelioration of fnancial risk and fraud is imperative. Related to this is the issue of consumer protection, which entails safeguarding users of fnancial services from Ponzi schemes, fraud, and exploitation. Regulatory frameworks that cover transparent disclosure, fair treatment, dispute resolution, and fnancial education and costs will help foster consumer protection. The high level of fnancial illiteracy in the world and in developing countries in particular calls for concern. Mainstreaming fnancial literacy in educational curricula will be a good step towards creating an awareness of fnancial inclusion and enlightening the population on fnancial matters. Broad-based fnancial literacy will promote fnancial planning and prudent fnancial decision-making at the individual, household, and frm levels. Chapter 10 • Financial inclusion and economic growth 283 Discussion questions 1 Provide at least three motivations for studying the impact of fnancial inclusion on economic growth. 2 Discuss the role of fnancial inclusion in attaining the UN Sustainable Development Goals. 3 How does sub-Saharan Africa compare with the rest of the world in terms of fnancial inclusion? 4 Is fnancial inclusion compatible with fnancial stability? 5 Thoroughly evaluate the channels through which financial inclusion promotes growth. 6 Trace the channels through which institutions affect economic development. 7 How can institutions make fnancial inclusion effective for economic growth? 8 Discuss the ‘dark side’ of fnancial inclusion. Notes 1 This chapter is part of the research project ‘Delivering Inclusive Financial Development & Growth’ and received funding from DFID and ESRC under the DFID-ESRC Growth Research Programme Call 3. 2 Read more at https://voxeu.org/ article/fnancial-inclusion-driversand-real-effects. 3 Read more about the importance of institutions at www.e-ir. info/2012/09/19/the-importanceof-institutions-to-economicdevelopment/. References Abor, J. Y., Amidu, M., & Issahaku, H. (2018). Mobile telephony, fnancial inclusion and inclusive growth. Journal of African Business, 19(3), 430–453. Abu, B. M., & Issahaku, H. (2017). Financial inclusion and agricultural commercialization in Ghana: An empirical investigation. Agricultural Finance Review, 77(4), 524–544. Acemoglu, D., & Robinson, J. (2012). Why nations fail: The origins of power, prosperity, and poverty. New York: Crown Business. African Development Bank (AfDB). (2012). Financial inclusion in Africa. ISBN: 978-9938-882.19-3. Retrieved from www.afdb.org Agarwal, S., Alok, S., Ghosh, P., Ghosh, S. K., Piskorski, T., & Seru, A. (2018). Banking the unbanked: What do 255 million new bank accounts reveal about fnancial access? Working Paper. Retrieved from http:// eprints.exchange.isb.edu/1023/ Ahamed, M. M., & Mallick, S. K. (2017). Is fnancial inclusion good for bank stability? International evidence. Journal of Economic Behavior and Organization. doi:10.1016/j.jebo.2017.07.027 Allen, F., Demirgüç-Kunt, A., Klapper, L., & Peria, M. S. M. (2016). The foundations of fnancial inclusion: Understanding ownership and use of formal accounts. Journal of Financial Intermediation, 27, 1–30. 284 Joshua Yindenaba Abor et al. Alliance for Financial Inclusion Financial Inclusion Data Working Group. (2011). Measuring fnancial inclusion: Core set of fnancial inclusion indicators. Retrieved from www.af-global.org/ sites/default/fles/af%20fdwg%20 report.pdf?op=Download Arcand, J. L., Berkes, E., & Panizza, U. (2015). Too much fnance? Journal of Economic Growth, 20(2), 105–148. Ashraf, N., Giné, X., & Karlan, D. (2009). Finding missing markets (and a disturbing epilogue): Evidence from an export crop adoption and marketing intervention in Kenya. American Journal of Agricultural Economics, 91(4), 973–990. Ashraf, N., Karlan, D., & Yin, W. (2010). Female empowerment: Further evidence from a commitment savings product in the Philippines. World Development, 38, 333–344. Banerjee, A., Breza, E., Dufo, E., & Kinnan, C. (2018). Do credit constraints limit entrepreneurship? Heterogeneity in the returns to microfnance. Working Paper. Retrieved from citeseerx. ist.psu.edu/viewdoc/summary?doi= 10.1.1.714.1340 Banerjee, A., Karlan, D., & Zinman, J. (2015). Six randomized evaluations of microcredit: Introduction and further steps. American Economic Journal: Applied Economics, 7(1), 1–21. Beaman, L., Karlan, D., Thuysbaert, B., & Udryet, C. (2014). Self-Selection into credit markets: Evidence from agriculture in Mali (No. w20387). Cambridge, MA: National Bureau of Economic Research. Beck, T., & de la Torre, A. (2007). The basic analytics of access to fnancial services. Financial Markets Institutions & Instruments, 16(1), 79–117. Beck, T., Peria, M. S. M., Obstfeld, M., & Presbitero, A. (2018). Financial inclusion: Drivers and real effects. Retrieved from https://voxeu.org/article/financialinclusion-drivers-and-real-effects Breza, E., & Kinnan, C. (2018). Measuring the equilibrium impacts of credit: Evidence from the Indian microfnance crisis. NBER Working Paper No. 24329. Cambridge, MA: National Bureau of Economic Research. Brune, L., Giné, X., Goldberg, J., & Yang, D. (2015). Facilitating savings for agriculture: Field experimental evidence from Malawi (No. w20946). Cambridge, MA: National Bureau of Economic Research. Bruhn, M., & Love, I. (2014). The real impact of improved access to fnance: Evidence from Mexico. Journal of Finance, 69(3), 1347–1376. Burgess, R., & Pande, R. (2005). Do rural banks matter? Evidence from the Indian social banking experiment. American Economic Review, 95(3), 780–795. Burke, M. (2014). Selling low and buying high: An arbitrage puzzle in Kenyan villages. Retrieved from http://web. stanford.edu/~mburke/papers/ Carr-Hill, R., & Pessoa, J. (2008). International literacy statistics: A review of concepts, methodology and current data. Montreal: UNESCO Institute for Statistics. Clark, C., Harris, K. P., Biscaye, P., Gugerty, M. K., & Anderson, C. L. (2015). Evidence on the impact of rural and agricultural fnance on clients in sub-Saharan Africa: A literature review (pp. 1–51). EPAR Brief No. 307, Learning Lab Technical Report No. 2. Retrieved from https://www.raflearning.org/sites/ default/files/epar_2_w_edits_final. pdf?token=PI9pLrEO Compton, R. A., & Giedeman, D. C. (2011). Panel evidence on fnance, institutions and economic growth. Applied Economics, 43(25), 3523–3547. doi:10.1080/00036841003670713 Crépon, B., Devoto, F., Dufo, E., & Pariente, W. (2014). Estimating the impact of microcredit on those who take it up: Evidence from a randomized experiment in Morocco (No. w20144). Cambridge, MA: National Bureau of Economic Research. Dasgupta, R. (2009). Two approaches to fnancial inclusion. Economic and Political Weekly, 41–44. Chapter 10 • Financial inclusion and economic growth 285 Demetriades, P., & Law, S. H. (2006). Finance, institutions and economic development. International Journal of Finance and Economics, 11(3), 245e260. Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The global fndex database 2017: Measuring fnancial inclusion and the fntech revolution. Washington, DC: World Bank. Demirgüç-Kunt, A., Klapper, L., Singer, D., & Oudheusden, P. V. (2015). The global fndex database 2014: Measuring fnancial inclusion around the world. Policy Research Working Paper 7255. Washington, DC: World Bank. Diniz, E., Birochi, R., & Pozzebon, M. (2012). Triggers and barriers to fnancial inclusion: The use of ICT-based branchless banking in an Amazon county. Electronic Commerce Research, 11(5), 484–494. Dupas, P., & Robinson, J. (2013). Savings constraints and microenterprise development: Evidence from a feld experiment in Kenya. American Economic Journal: Applied Economics, 5, 163–192. Fink, G., Jack, B. K., & Masiye, F. (2014). Seasonal credit constraints and agricultural labor supply: Evidence from Zambia (No. w20218). Cambridge, MA: National Bureau of Economic Research. Gazdar, K., & Cherif, M. (2015). Institutions and the fnance – growth nexus: Empirical evidence from MENA countries. Borsa Istanbul Review, 15(3), 137–160. Global Infrastructure Hub. (2017). Global infrastructure outlook: A G20 initiative. Oxford: Oxford Economics. Gourinchas, P. O., & Obstfeld, M. (2012). Stories of the twentieth century for the twenty-frst. American Economic Journal: Macroeconomics, 4, 226–265. Hall, T. (2014). Measuring fnancial inclusion: Thinking 3 dimensional. New York: Citi Foundation. IMF. (2018, January). World economic outlook update. Washington, DC: International Monetary Fund. Issahaku, H., Abor, J. Y., & Amidu, M. (2018). The effects of remittances on economic growth: Reexamining the role of institutions. The Journal of Developing Areas, 52(4), 29–46. Karlan, D., Ratan, A. R., & Zinman, J. (2014). Savings by and for the poor: A research review and agenda. Review of Income and Wealth, 60(1), 1–43. Kim, D. W., Yu, J. S., & Hassan, M. K. (2018). Financial inclusion and economic growth in OIC countries. Research in International Business and Finance, 43, 1–14. Kim, J., Ferrari, G., Abramsky, T., Watts, C., Hargreaves, J., Morison, L., & Pronyk, P. (2009). Assessing the incremental effects of combining economic and health interventions: The IMAGE study in South Africa. Bulletin of the World Health Organization, 87(11), 824–832. Lenka, S. K., & Sharma, R. (2017). Does fnancial inclusion spur economic growth in India? The Journal of Developing Areas, 51(3), 215–228. McKinsey and Company. (2016). Digital fnance for all: Powering inclusive growth in emerging economies. McKinsey Global Institute. Retrieved from www.mckinsey.com/mgi Mian, A., & Suf, A. (2014). House of debt: How they (and you) caused the great recession, and how we can prevent it from happening again. Chicago: University of Chicago Press. Neaime, S., & Gaysset, I. (2018). Financial inclusion and stability in MENA: Evidence from poverty and inequality. Finance Research Letters, 24, 230–237. North, D. C. (1990). Institutions, institutional change and economic performance. Cambridge: Cambridge University Press. Pande, R., & Udry, C. (2005). Institutions and development: A view from below. Discussion Paper No. 928. New Haven, CT: Yale University Economic Growth Center. Prina, S. (2013). Banking the poor via savings accounts: Evidence from a feld experiment. Case Western Reserve University, Weatherhead School of Management 286 Joshua Yindenaba Abor et al. Working Paper. Retrieved from http:// faculty.weatherhead.case.edu/prina/ pdfs/prina_savingsaccounts_2013.pdf Qian, J., & Strahan, P. E. (2007). How laws and institutions shape fnancial contracts: The case of bank loans. The Journal of Finance, 62(6), 2803–2834. Rajan, R. (2005). Has fnancial development made the world riskier? NBER Working Paper No. 11728. Cambridge, MA: National Bureau of Economic Research. Rasheed, B., Law, S. H., Chin, L., & Habibullah, M. S. (2016). The role of fnancial inclusion in fnancial development: International evidence. Abasyn University Journal of Social Sciences, 9. Sarma, M. (2012). Index of fnancial inclusion: A measure of fnancial sector inclusiveness. Working Paper No. 07/2012. Berlin: Working Papers on Money, Finance, Trade and Development. Schularick, M., & Taylor, A. (2012). Credit booms gone bust: Monetary policy, leverage cycles, and fnancial crises, 1870–2008. American Economic Review, 102(2), 1029–1061. Schumpeter, J. A. (1912). The Theory of Economic Development. Stanford University Press, 1969 (Reprint). Sharma, D. (2016). Nexus between fnancial inclusion and economic growth: Evidence from the emerging Indian economy. Journal of Financial Economic Policy, 8(1), 13–36. Swamy, V. (2014). Financial inclusion, gender dimension, and economic impact on poor households. World Development, 56, 1–15. Tarozzi, A., Desai, J., & Johnson, K. (2015). The impacts of microcredit: Evidence from Ethiopia. American Economic Journal: Applied Economics, 7(1), 54–89. World Bank. (2014). Economic indicators. Retrieved October 15, 2015, from http://data.worldbank.org/indicator/ NY.GDS.TOTL.ZS CHAPTER 11 Financing agriculture for inclusive development Haruna Issahaku, Edward Asiedu, Paul Kwame Nkegbe, and Robert Osei 11.1 INTRODUCTION At the heart of the current global development policy is how to sustainably ensure that there is enough food with the necessary nutrients available, accessible, and affordable to the world’s seven billion people. This agenda is emphasized in United Nations (UN) Sustainable Development Goal 2 (SDG 2), which seeks to end hunger, achieve food security and improved nutrition, and promote sustainable agriculture by 2030. However, this goal cannot be realized without suffcient funding, particularly for smallholder agriculture. The UN recognizes that this goal can be achieved by, among other things, doubling agricultural productivity and smallholder incomes, making agricultural markets functional, and scaling up investments in agriculture to improve rural infrastructure, agriculture technology, and agricultural research and extension services. Thus, agriculture fnancing is crucial to the attainment of sustainable development. However, conventional funding models bewildered with credit market imperfections cannot provide the funding required to take agriculture development to the next level. Traditional bank fnance is known not to reach the people who need it most (the poorest of the poor). The fnancial system in most developing countries remains inaccessible, ineffcient, and lacking in depth. Taking sub-Saharan Africa (SSA) as an example, the average private credit provided by deposit money banks as a percentage of gross domestic product (GDP) over the period 2011–2014 was 16.3% compared to a global average of 40% over the same period. Bank accounts per a thousand people in the region was 150.3 compared to a global average of 511.7, while bank net interest margin was an average of 5.7% in the region compared to a world average of 3.7%, over the period 2011 to 2014. Thus, both the SSA averages and global averages point to the inadequacy of conventional fnance for private sector development in general. Globally, and recently, the discussion has turned towards innovative fnancing models. The fnancing gap among smallholder farmers alone is projected at USD430 billion to USD440 billion worldwide (USAID, 2016). Innovative fnancing models are needed to bridge this fnancing gap and reach the poorest segments of the population with a wide range of affordable 288 Haruna Issahaku et al. fnancial services and products at improved terms and conditionalities. In line with this thinking, this chapter discusses innovative ways of fnancing global agriculture to enhance its ability to deliver not just growth but inclusive or pro-poor development. It is important that inclusive development be distinguished from inclusive growth. While inclusive development focuses on ‘social wellbeing and protecting the ecosystem services of nature through redefning political priorities’ (Pouw & Gupta, 2017, p. 1), the inclusive growth perspective is ‘confned to market participation (by creating jobs for the poor) and effciency (of economic processes, policies, institutions), and builds further upon an economic paradigm that does not assign value to social or environmental sustainability in its growth models’ (Pouw & Gupta, 2017, p. 2). Thus, whereas inclusive development relates to social, economic, ecological, and political inclusiveness, inclusive growth relates mainly to social, economic, and political inclusiveness with less emphasis on ecological indicators. The aim of this chapter is to discuss ways that agriculture can be fnanced to ensure inclusive development. The chapter is structured as follows. First, we discuss some stylized facts on global agriculture. Second, we overview the challenges to accessing agricultural fnance and then the fnancing opportunities in agriculture. Next, we discuss key innovative fnancing models for agriculture, and roles that could be played by banks, fnancial institutions, development agencies, and government. The penultimate section discusses how agriculture leads to inclusive development. We end the chapter with some concluding remarks. 11.2 STYLIZED FACTS ON AGRICULTURE DEVELOPMENT Globally, agriculture has gone through many shifts in terms of its contribution to economic growth, employment, productivity growth, and exports. This subsection explores some stylized regularities about agriculture development across the globe. Although these stylised facts do not necessarily establish causality, they are essential in shaping a research agenda and policy discourses (Christiaensen, 2017). 11.2.1 Stylized fact 1 Agriculture is more important to the economies of developing and poor countries than it is to the economies of developed and wealthy nations, but generally, its contribution to the economy is declining across the globe. Even though this is a well-known fact (see Johnston & Mellor, 1961), the data behind this fact are often not presented alongside the claim. In Europe and Central Asia (ECA), agriculture plays a less prominent role in economic development, agriculture’s share in GDP falling from 3.3% in 2000 to 2.4% in 2006 (Table 11.1) before stagnating at 2.2% in each year from 2012 onwards. This region is constituted by some European economic giants such as the United Kingdom, Germany, France, and Spain, whose economies are driven largely by services. For example, in the European Union in 2014, services constituted 73.9% of the GDP, industry 24.4%, and agriculture 1.7%.1 50.4 32.7 60.9 10.1 10.4 19.3 19.9 40.1 50.6 80.8 40.5 34.5 N/A NA. 20.0 N/A 29.9 23.4 N/A 12.6 1.9 24.1 19.6 5.2 60.0 20.4 13.4 70.9 N/A 30.3 90.9 10.4 19.3 19.8 40.0 31.8 60.7 50.5 50.8 20.3 50.4 50.7 20.1 2009 50.4 50.7 20.2 90.9 10.4 18.9 20.3 40.0 90.9 10.3 18.9 21.3 30.9 90.6 10.4 19.3 17.8 30.9 90.6 10.5 19.1 17.2 40.0 32.1 50.5 50.4 50.7 20.3 2010 2011 32.7 33.0 32.6 N/A N/A 50.9 50.6 50.8 20.2 2000 2006 2007 2008 Source: World Development Indicators (2017) East Asia & Pacifc Europe & Central Asia Latin America & Caribbean Low income Middle East & North Africa Middle income High income South Asia Sub-Saharan Africa World 1990 TABLE 11.1 Contribution of agriculture to GDP (%) 90.4 10.5 18.7 18.1 30.9 33.0 50.7 50.2 50.6 20.2 90.4 10.6 18.9 17.8 40.0 31.8 60.2 50.3 50.5 20.2 90.3 10.5 18.5 17.3 30.9 30.8 60.2 50.4 50.4 20.2 90.2 10.4 18.0 17.4 30.8 30.2 60.9 50.2 50.2 20.2 90.6 10.4 18.9 18.7 30.9 32.1 60.3 50.4 50.6 20.2 90.9 10.4 19.2 19.8 40.0 32.6 60.5 50.4 50.8 20.3 90.4 10.5 18.6 17.6 30.9 31.6 60.1 50.3 50.5 20.2 2012 2013 2014 2015 10-year 5-year 5-year average average average (2006–2015) (2006–2010) (2011–2015) Chapter 11 • Financing agriculture 289 290 Haruna Issahaku et al. In contrast to ECA are South Asia (SA) and sub-Saharan Africa (SSA), where agriculture still plays a pivotal role in economic development. The share of agriculture in GDP fell from 29.9% to 24.1% over the decade 1990s in SA before falling to 18.0% by 2015. Similarly, in SSA the contribution of agriculture to GDP fell from 23.4% in 1990 to 19.6% in 2000 and then fell further to 17.4% by 2015. Notwithstanding the declining shares, agriculture’s contribution to GDP is still signifcant in these two regions of the world. Interestingly, these two regions play host to the bulk of the world’s poor population, who often eke out a living from subsistence agriculture. Over the past decade (2006 to 2015), SA had the largest share of agriculture in GDP (18.9%), followed closely by SSA (18.7%). For the rest of the regions, the share of agriculture in GDP is far less significant: 6.3% in Middle East and North Africa (MENA), 5.6% in East Asia and Pacific (EAP), 5.4% in Latin America and the Caribbean (LAC), and 2.2% in ECA. The correlation between agriculture’s share in economic growth and a poverty profle is seen clearly when the analysis is done on the basis of income categorization. The average contribution of agriculture to the GDP of low-income countries (LICs) over the last decade was 32.1%, compared to 9.2% in middle-income countries (MICs) and just 1.4% in high-income countries (HICs). Again, even on the basis of income groups, the share of agriculture in growth has declined over the decades. Thus, the poor are dependent on agriculture, but their dependence is declining gradually as they seek alternative livelihoods in nonfarming enterprises. 11.2.2 Stylized fact 2 Although there are diversities in agricultural productivity and agricultural productivity growth across the regions of the world, agricultural value added per worker (productivity) is generally ascending. Not only is agricultural productivity higher in ECA, LAC, and MENA, but it also increases faster in these regions (see Figure 11.1, Table 11.1) relative to EAP, SSA, and SA. ECA is the most productive region in the world, followed by LAC, and SA is the least productive region, followed closely by SSA. Agricultural productivity has been twice as fast in ECA than it has in SA over the last 15 years (2000–2015). In ECA, agriculture value added per worker increased from USD8,801.8 in 2000 to USD14,309.1 in 2015, an increase of about 63% over the period. In SA, agriculture value added per worker increased from USD871.7 in 2000 to USD1,131.7 in 2015, an increase of about 30% over the 15-year period. Thus, not only is agricultural value added per worker higher in relatively wealthy regions of the world, but it also grows faster in these regions, showing a correlation between productivity and welfare status. The link between agricultural productivity and poverty is seen clearly in Figure 11.2, where the trend line for agriculture value added per worker for HICs is not only far above those of MICs and LICs but is Chapter 11 • Financing agriculture 291 FIGURE 11.1 Agriculture value added per worker, constant 2010 USD 16,000.00 14,000.00 East Asia & Pacific 12,000.00 Europe & Central Asia Latin America & Caribbean 10,000.00 8,000.00 Middle East & North Africa 6,000.00 South Asia 4,000.00 Sub-Saharan Africa World 2,000.00 Linear (Sub-Saharan Africa) 0.00 2000 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Source: World Development Indicators (2017) FIGURE 11.2 Agriculture value added per worker, constant 2000 USD 45000 40000 35000 30000 25000 20000 15000 10000 5000 0 2000 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Low income Middle income High income Source: World Development Indicators (2017) also the only line trending upwards. Thus, a substylized fact is that poor economies have both low agricultural productivity and low agricultural productivity growth relative to rich economies. The implication of this stylized regularity is that substantial welfare gains can be made in poor countries by simultaneously increasing both agriculture productivity and productivity growth. 292 Haruna Issahaku et al. 11.2.3 Stylized fact 3 Although agriculture remains an important employer of the labour force, especially in economies outside ECA, for most regions of the world, the services sector is by far the largest employer of the workforce (SA and SSA being the exceptions). According to Figure 11.3, in 2014 the services sector had the largest share in total employment (69.5%) in LAC, followed by industry (22.8%) and agriculture (13.9%). Next to LAC is ECA in terms of the size of the contribution of the service sector to employment. In ECA, the services sector (66.5%) was the largest contributor to employment, followed by industry (24.8%) and agriculture (8.3%) in 2014. In EAP, the agriculture sector’s share in employment has been larger than that of the industry sector’s contribution but lower than that of the services sector. Figure 11.3 further reveals that as structural shifts occur in the economy, the share of agriculture in employment declines over time, while the employment shares of industry and services rise. SA and SSA break the dominance of the services sector in total employment. Agriculture has remained the largest employer over the years in SA even though the sector’s employment share is declining with time, whereas the service sector is picking up. On the basis of a series of reports from the United Nations Survey of Asia and the Far East, agriculture’s share in the SA region declined from 70% in 1970 to 51% in 2010, while the services share increased from 20% to 35% over the same period. Thus, agriculture’s share is a little over half of total employment in SA. Among all the regions of the world, SSA has the most dominant agricultural sector in terms of contributions to employment. This dominance FIGURE 11.3 Employment shares by sector (% in total employment) 80.0 70.0 60.0 50.0 40.0 30.0 20.0 10.0 0.0 Agricu Industr Service Agricu Industr Service Agricu Industr Service lture y s lture y s lture y s (EAP) (EAP) (EAP) (ECA) (ECA) (ECA) (LAC) (LAC) (LAC) 2012 31.5 27.6 41.0 9.0 25.1 41.0 15.0 22.8 41.0 2013 29.9 27.3 42.9 8.8 24.8 66.0 14.8 22.4 69.1 2014 28.2 27.3 44.5 8.3 24.8 66.5 13.9 22.8 69.5 2012 2013 Source: World Development Indicators (2017) 2014 Chapter 11 • Financing agriculture 293 is prevalent in both LICs and HICs in the region. According to Fox, Thomas, and Cleary (2017), agriculture contributed 68.5% and 57.5% to employment in LICs and HICs respectively in SSA in 2010. Household enterprises are the next most signifcant contributor to employment in SSA (18.2% for LICs and 29.1% for HICs in SSA). These household enterprises are often capital-constrained micro and small enterprises. Wage employment in services and industry form a small proportion (13%) of total employment in the region, an indication of the region’s large informal sector. 11.2.4 Stylized fact 4 Agricultural raw materials exports’ share in merchandise exports is small and generally quite stagnant. In all the regions of the world, the share of agricultural raw material exports in total merchandise exports was below 3% in 2015 (Table 11.2). This might not be a bad statistic so long as there is a corresponding increase in the exports of processed goods. Understandably, SSA (3.7%), the poorest region of the world, has been more reliant on agricultural raw material exports over the last decade than any other region has. This is followed by LAC (2.1%), South Asia (1.6%), EAP (1.3%), and ECA (1.3%). The reliance of SSA and poor countries in general on raw material revenues has been of concern to policymakers in this region, but not much progress has been realized in terms of policies aimed at adding value to exports. Relying on raw material exports is a source of economic vulnerability because raw material outputs and prices are highly volatile. Agriculture raw material exports as a percentage of merchandise exports grew from 3.4% over the fve-year period of 2006–2010 to 4.0% in the subsequent fve-year period, 2011–2015. This was the largest growth over the period. Marginal growth in agricultural raw material exports’ share in merchandise export was recorded over the same period in EAP, ECA, and LAC, while no growth was recorded in MENA and SA. The MENA region is the least reliant on agriculture raw material exports, ostensibly due to huge foreign exchange revenues from crude oil exports. 11.2.5 Stylized fact 5 GLOBALLY, FOREIGN DIRECT INVESTMENT (FDI) TO AGRICULTURE IS SMALL According to the data available for 43 countries around the globe, the average FDI to agriculture was only 2.7% of total FDI in 2011. This supports the widely held belief that the agricultural sector is generally underfunded and is less attractive to investors than are industry and services (IFC, 2012; Ruete, 2015). The outliers include Malawi (18.86%), Uruguay (15.27%), Ghana (15.75%), Cambodia (13.7%), and Lao PDR (12.3%), where agriculture’s share for each in total FDI exceeds 10% (see Figure 11.4). At least the outlier countries are all developing countries that have a real need for FDI to unlock the potentials of the agriculture sector. Thus, 10.4 10.7 20.9 00.4 10.4 50.3 10.8 30.3 20.2 30.5 N/A 40.8 N/A 30.1 10.7 30.5 10.6 00.3 10.3 10.4 20.0 2006 Source: World Development Indicators (2017) East Asia & Pacifc Europe & Central Asia Latin America & Caribbean Middle East & North Africa South Asia Sub-Saharan Africa World 2000 1990 20.0 30.4 10.5 00.2 10.3 10.4 20.2 2007 10.7 40.0 10.4 00.1 10.3 10.2 20.0 2008 10.3 30.0 10.4 00.2 10.2 10.3 20.0 2009 20.1 30.0 10.6 00.3 10.5 10.4 20.0 2010 10.9 50.2 10.8 00.2 10.8 10.4 10.9 2011 TABLE 11.2 Agricultural raw materials exports (% of merchandise exports) 20.0 50.5 10.6 00.2 10.5 10.4 20.0 2012 20.1 30.3 10.6 00.2 10.5 10.4 20.0 2013 10.6 20.2 10.5 00.2 10.3 10.4 20.3 2014 10.6 N/A 10.5 N/A 10.3 10.3 20.7 2015 10.8 30.7 10.6 00.2 10.4 10.4 20.1 10-year average 2006–2015 10.8 30.4 10.5 00.2 10.3 10.3 20.1 5-year average 2006–2010 10.8 40.0 10.6 00.2 10.5 10.4 20.2 5-year average 2011 2015 294 Haruna Issahaku et al. Chapter 11 • Financing agriculture 295 FIGURE 11.4 Share of FDI to agriculture in total FDI (%), 2011 18 16.86 15.75 16 15.27 13.7 14 12.34 12 10 6 4 2 0 -1 8.83 8.21 8 7.18 6 4.21 1.42 0.52 1.07 0.31 0.49 -0.03 3.93 1.64 0.33 0 0.06 0.27 -0.12 -0.24 2.01 1.79 0.05 -0.06 0.48 0.22 0.11 1.62 0.66 0.26 0.22 0.24 1.55 0.88 0.2 0.14 1.88 -0.39 -2 Source: FAO (2017) overall, poor countries have a higher share of agriculture FDI in total FDI than do rich countries. According to Figure 11.4, the share of advanced countries’ (e.g. France, Greece, Hungary, and Spain) agriculture FDI in total FDI is minuscule. 11.2.6 Stylized fact 6 GLOBALLY, THE AGRICULTURE SECTOR RECEIVES MARGINALLY LESS PRIVATE SECTOR CREDIT THAN IT DESERVES The share of agriculture sector credit in total credit is almost insignifcant. On the basis of data available for 103 countries across the globe (see Figure 11.5), the average private sector credit to agriculture was only 4.5% of total credit in 2015. The corresponding agriculture orientation index2 is 97.8%, which means that credit to the agriculture sector is marginally below the contribution of the sector to economic growth (i.e. agriculture sector receives marginally less credit than it deserves). Although the agriculture orientation index gap is not that big, the funding gap that this entails can be of signifcant consequence to the sector. There are signifcant cross-country variations in agriculture credit ratios across the world. On the one hand, we have countries with high agriculture credit ratios: agriculture shares of credit of at least 15% (e.g. Kyrgyzstan, Zambia, Sudan, and New Zealand). On the other hand, there are countries with infnitesimal agriculture shares of credit (e.g. UAE, Turkey, Trinidad and Tobago, Togo, Oman, and Niger). Clearly, however, countries congregate towards low credit ratios. 296 Haruna Issahaku et al. FIGURE 11.5 Share of agriculture credit in total credit, 2015 Zambia 0.17 0.10 Uruguay 0.15 0.01 United Republic of Tanzania 0.08 0.00 Ukraine 0.07 0.10 Turkey 0.00 0.05 Trinidad and Tobago 0.00 0.00 Timor-Leste 0.04 0.01 Tajikistan 0.11 0.03 Sudan 0.16 0.09 Singapore 0.01 0.03 Serbia 0.07 0.00 0.02 Saint Vincent and the Grenadines 0.01 Saint Kitts and Nevis 0.00 0.02 Republic of Moldova 0.08 0.01 Peru 0.05 0.02 Panama 0.04 0.10 Oman 0.00 0.03 Niger 0.00 0.16 0.05 Nepal 0.05 Mozambique 0.03 0.04 Montserrat 0.00 0.03 0.03 Mali 0.03 0.06 Malaysia 0.07 Lebanon 0.01 0.19 Kenya 0.04 0.05 Jordan 0.01 0.02 Italy 0.05 0.01 Iraq 0.03 0.10 India 0.13 0.06 Honduras 0.06 0.09 Guinea-Bissau 0.00 0.02 0.04 Ghana 0.04 Georgia 0.02 0.04 France 0.06 0.08 Estonia 0.05 0.03 Egypt 0.01 0.04 0.00 Dominica 0.01 Czechia 0.02 0.04 Costa Rica 0.04 0.02 Cambodia 0.10 0.03 Burkina Faso 0.02 0.04 Brazil 0.01 0.02 Bosnia and Herzegovina 0.02 0.10 Bhutan 0.05 0.03 Belize 0.12 0.03 Belarus 0.11 0.00 Bangladesh 0.00 0.05 Austria 0.00 0.07 Aruba 0.00 0.07 Argentina 0.00 0.09 Anguilla 0.00 0.05 Albania 0.02 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 Source: FAO (2017) Chapter 11 • Financing agriculture 297 11.3 CHALLENGES OF AGRICULTURAL FINANCING There are some major constraints peculiar to agriculture perceived as the source of the diffculty for the sector to attract fnancing. Some of these challenges as outlined by the International Finance Corporation (IFC) (2012) include seasonality, high exposure to undiversifable risk, limited availability of usable collateral, prohibitive information and transaction costs, competing priorities of banks and other fnancial institutions, and inadequate access to long-term funding. Seasonality: agricultural activities in most developing countries are seasonal in nature and are characterized by long gestation periods. This means cashfows from the sector tend to be unpredictable and clustered around certain times of the year. From a banking perspective, the erratic cashfows make liquidity management diffcult and impose an additional cost, since customized products will have to be designed in unfamiliar territory. High exposure to undiversifiable risk: most agricultural activities are highly exposed to undiversifiable risks, such as drought, floods, fire, and prices. Since most agricultural production activities face the same risks, true diversification is difficult to attain, and this increases the risk of loan default in the sector. This is further compounded by the fact that there is a lack of a well-developed insurance market for agriculture. Limited availability of usable collateral: most farmers do not have suitable collateral such as real estate, automobiles, and titled land. Because of legal and sociocultural barriers, most of the assets of agricultural households such as land and housing are not properly titled. Therefore, for the banker, what could be offered as collateral by the farmer provides poor protection against default risk. Prohibitive information and transaction costs: poor infrastructure, dispersed population, and settlements make the information and transaction costs in agriculture high. Rural areas often lack good road network, potable water, electricity, and telecommunications infrastructure. These factors combined make it diffcult for banks and other fnancial institutions to establish viable branches in agricultural settlements. Competing priorities of banks and other fnancial institutions: banks have several competing priorities, involving reaching out to more frms in the metropolitan areas, establishing new branches in densely populated urban areas, and investing in new technology. Given the promise that the aforementioned areas have, the agriculture sector is often placed at the bottom of the pecking order of bank business. Inadequate access to long-term funding: all over the world, only a handful of businesses have access to long-term fnance. This is even worse in developing countries, particularly for agriculture, mainly because long-term funds are expensive and are complicated by maturity mismatch. 298 Haruna Issahaku et al. 11.3.1 Funding challenges of plantation and animal agriculture For plantation farming in particular, funding challenges which require attention include high initial capital required to establish a plantation, high capital cost and accumulation due to the long period between initial planting and harvesting time, prohibitive biological and economic risks, and unattractive and inappropriately designed investment incentives by governments in the past (FAO, 2019). Similarly, animal agriculture is plagued by some peculiar challenges/risks, including being viewed as a major source of pollution, being associated with the deforestation and degradation of rangelands, being viewed as a preserve of the rich and not pro-poor, and being thought of as competing with humans for grains (Steinfeld & Mack, 2019). Other risks in the sector include a lack of funding for research, the scarcity of land and water resources, trade barriers, health challenges such as infectious diseases, a weak regulatory framework and weak regulatory oversight, and global environmental changes related to climate, habitat, and feedstock (National Research Council, 2015). 11.4 FINANCING OPPORTUNITIES IN AGRICULTURE Banks and other fnancial institutions are increasingly recognizing the agricultural sector as potentially proftable. The fnancing opportunities in agriculture are evident in the expanding demand for food, the diversifcation opportunities offered by agriculture, the need to manage sector-specifc risk with fnancial innovations such as index insurance, the low level of fnancial inclusion in agriculture, and worsening climate change (IFC, 2012). The exact nature of these opportunities is explained next. The ever-expanding demand for food is driven by a growing population and changes in dietary habits. Global food demand growth is projected to reach 50% by 20303 and 70% by 2050. To meet this growing food demand, farmers will need funds to purchase or invest in inputs such as certifed seeds, fertilizers, and agrochemicals. The increasing demand for inputs will also have a ripple effect on fnancing requirements for input suppliers. On the other side of the value chain will be the need for warehouses, storage facilities, and agro-industries to process the agricultural outputs. All these different players will need more fnancing to meet the increased food demand. The agriculture sector provides an opportunity for fnancial institutions to broaden and diversify their portfolios. As an example, in the heat of the global fnancial crises in 2008, agricultural prices soared and almost doubled across the world. A study conducted by the International Finance Corporation in 2012 showed that countries with a large share of agriculture in GDP had declining nonperforming loans (NPLs) during the crises, while the reverse was the case for countries with a lower share of agriculture in GDP. The risky nature of agriculture in terms of production, price, and market risks marks an opportunity for fnancial institutions to design risk mitigation products and services for the sector. The sector is confronted with Chapter 11 • Financing agriculture 299 foods, droughts, fres, and livestock disease outbreaks such as swine fu, which represent both challenges and opportunities. These risks present opportunities for designing risk-mitigating products such as forwards and futures contracts as well as weather insurance. The large number of unbanked people, especially in the agriculture sector, marks an opportunity for fnancial institutions to rope in this underserved segment into the mainstream fnancial system. Worsening climate change implies that sustainable means of production must be explored. In addition, this marks an opportunity for fnancial institutions to develop and tailor fnancial products and services to sustainable production systems that are consistent with climate-change-adaptation strategies. 11.5 INNOVATIVE FINANCING MODELS FOR AGRICULTURE4 Due to high information asymmetries, poor track record, unpredictable weather conditions, and the absence or low quality of the collateral, it is important that fnancing strategies for the agriculture sector be designed to reduce credit risk. We now turn the discussion to the various innovative ways that agriculture can be fnanced. 11.5.1 Financing farmers and agricultural entrepreneurs Farmers and agricultural entrepreneurs require funding for inputs, production, transportation, processing, packaging, and storage. Farmers and agricultural entrepreneurs can funded by direct fnancing (retail model) (Ruete, 2015) or indirect fnancing (wholesale model) by channelling fnancial services through cooperatives or farmer-based organizations (IFC, 2012). On the one hand, the advantage of the direct approach is that the fnancial institution gets up close to benefciaries to understand their circumstances and to be able to extend a variety of fnancial services beyond credit. It also allows the fnancial institution to collect deposits directly from farmers. A success story5 in direct lending is the case of Equity Bank in Kenya, where the bank partnered with Alliance for a Green Revolution in Africa (AGRA), the International Fund for Agricultural Development (IFAD), and the Kenyan government to provide loans to the tune of USD50 million to 2.5 million farmers and 15,000 agriculture input dealers with little or no collateral requirements. The bank gave the loans to farmers at 12% instead of the 18% interest charged other borrowers. Equity Bank reduced risk exposure by limiting the maximum amount a farmer will take and by using a group-based lending approach. As of June 2008, Equity Bank had disbursed USD18.75 million to 37,000 benefciaries. Equity Bank touts this as a success story because it helped in transforming smallholder food insecure farmers into semi-commercial farmers (IFC, 2012). On the other hand, the indirect lending approach has the advantage of signifcantly reducing the risk of default since the lending is done through 300 Haruna Issahaku et al. a farmer-based organization. A success story of indirect lending is the case of the Zambia National Commercial Bank Plc (Zanaco). Zanaco provided lending through District Farmer Associations duly registered with the Zambian National Farmers Union (IFC, 2012). The facility was called the Munda credit facility. Before the farming season commences, District Farmer Associations assess the input needs of farmers and submit the list to the Zambian National Farmers Union for onwards submission to the bank. The bank requires 50% cash collateral from the District Farmer Associations. Upon harvesting, farmers sell proceeds to designated processors who pass on the money to the bank. The bank then deducts loan principal and interest and crop insurance premiums and returns any outstanding amount to farmers through the District Farmer Associations. Any District Farmer Association that fails to meet payment schedules is dropped from the scheme. The principle is ‘all for one, one for all’. The scheme served 25 District Farmer Associations in the 2010/2011 farming season, covering 4,026 farmers, from six hundred farmers in the previous farming season. Under the Munda scheme, the productivity of maize farmers rose from 1.5 metric tons per hectare to 3 metric tons per hectare due to improved access to and use of fertilizer, improved seeds, and other modern technology (IFC, 2012). The suite of products that could be extended to farmers and agricultural SMEs via the direct and indirect approaches include savings account– linked input fnance, inclusive fnance, leasing and factoring, trade fnance, weather-based insurance, and credit guarantee schemes. 11.5.2 Financing movable assets Given the diffculty in getting usable collateral from the agriculture sector, fnancing movable assets, which can themselves serve as collateral, is a viable alternative. Financing can be provided for movable assets such as machinery and equipment, small infrastructure, warehouse receipts, commodities, and even livestock (IFC, 2012). Some of the products under this fnancing model are as follows: • In equipment fnancing, banks closely collaborate with equipment manufacturers to supply farm equipment such as tractors, irrigation facilities, combine harvesters, and factory equipment, among others, to farmers. Benefciaries take the equipment after minimum initial deposits and then use the equipment to generate cashfows to defray the loan. The equipment serves as collateral and is repossessed by the fnancial institution upon default. • In cattle banking, banks lend to farmers, take live cattle from the farmers, and keep them in their custody as collateral. • By leasing agriculture machinery and automobiles, farmers get to these inputs for a given period in exchange for determined payments. At the end of the contract, the farmer may have the option to purchase. Leasing has been employed successfully by some frms in Uganda (see Box 11.1). • In warehouse receipt fnancing, secured lending is provided to owners of commodities that are stored in warehouses assigned to the Chapter 11 • Financing agriculture 301 lending institution. With warehouse receipts, agriculture products can be stored to serve as collateral; to be traded for cash; or to be used in futures and forwards contracts (Giovannucci, Varangis, & Larson, 2000). The National Microfnance Bank of Tanzania is a success story of warehouse receipts for cashews and coffee. • In collateral management agreement (CMA) fnancing, an agreement is reached between a collateral manager, an owner or a depositor of a commodity, and a bank. The commodity is kept in the custody of the collateral manager and stored in a warehouse. The commodity is released only once the custodian has received notice from the bank that the commodity owner has fully repaid the loan. In the event of default, the commodity is sold to repay the loan. CMAs are quite expensive and may be better suited for agricultural SMEs than smallholder farmers (IFC, 2012). BOX 11.1 Development Finance Company Uganda: leasing Development Finance Company Uganda (DFCU) is a leading commercial bank in Uganda. DFCU is listed on the Uganda Stock Exchange and operates 29 branches throughout the country. Of the bank’s credit portfolio, 5% is in the agricultural sector. The frst three rural branches (in Mbarara, Mbale, and Hoima) were opened in 2000 as part of a project funded by the U.S. Agency for International Development (USAID). DFCU has since started leasing operations in other towns, like Lira and Arua, using its own funds. DFCU specializes in providing fnance leases to SMEs for agricultural machinery – particularly tractors, milk equipment, harvesters, and agro-processing equipment. Typically, DFCU fnances 60% of the asset purchase, while the client fnances the additional 40%. The client share, however, may range from 10% to 50%. DFCU retains full ownership during the life of the lease, though the asset is transferred to the client or sold to a third party after the lease terminates. Although DFCU’s interest rates are similar to those of banks, their leases are more attractive to SMEs because they typically offer longer payment periods (three to fve years compared to around two years), provide fexible lease payment schedules that match enterprise cashfows, and recognize the leased asset as primary collateral. Additional security is requested only in specifc circumstances. Cashfows are evaluated through documentation on income sources, three to fve years of audited fnancial statements, and the company’s history and business plan. It is the borrower’s obligation to select the equipment and submit an inspection report with an invoice. The asset must be insured during the entire life of the lease; the DFCU Insurance Premium Financing facility is available and may be tied to lease payments. DFCU staff engineers regularly monitor assets, and lease offcers supervise clients in delinquency. Out of the 231 leases that DFCU facilitated in 2011 (valued at 18.3 million), 19 of these were agricultural (2.2 million). Roughly 20% of 302 Haruna Issahaku et al. the bank’s agricultural credit occurs through their leasing operations. DFCU reports 32% portfolio growth for leasing in the previous year, with nonperforming assets (NPAs) limited to 1% and write-off at 0.4%. Key success factors include technical and agricultural expertise to offer leasing products that meet consumer needs and quick turnaround time to permit equipment use during the current season. Source: IFC (2012) 11.5.3 Financing agriculture value chains One fnancing approach that mitigates costs and risks in extending support to farmers and agriculture SMEs is agriculture value chain fnancing. It offers a comprehensive way of fnancing agriculture instead of the segmented and disintegrated way of supporting individuals and specifc segments of the sector. Agriculture value chain entails successive linkages through which raw materials and resources are turned into fnal products for consumption. The value chain may comprise production, processing, packaging, storage, transportation, and distribution. To quote Miller and Jones (2010, p. 2), agriculture value chain fnance (AVCF) is any or all of the fnancial services, products and support services fowing to and/or through a value chain to address the needs and constraints of those involved in that chain, be it a need to access fnance, secure sales, procure products, reduce risk and/or improve effciency within the chain. The comprehensive design of the AVCF approach requires a thorough analysis and full understanding of the chain in its entirety for the approach to succeed. Value chains can be fnanced from within (internal fnance) or from without (external fnance) (Miller & Jones, 2010). Internal value chain fnancing comes from the actors in the value chain itself, actors who have built relationships among themselves, such as a fertilizer supplier providing fertilizer to a farmer on credit to be paid upon harvest. The fnancing approach may entail product fnancing, input supplier credit, trade fnance, lead frm fnancing, and marketing company credit. External value chain fnancing is provided by actors outside the value chain on the basis of established relationships and frameworks. An example is a microfnance institution’s providing a loan to a producer on the basis of an agreement with a buyer. Financial instruments under this approach entail trade receivables fnance, loan guarantees, factoring, and forfaiting. 11.5.4 Financing agriculture by using capital market vehicles There are three main vehicles for fnancing agriculture through the capital market. These are debt, equity, and derivative instruments. The capital market is particularly important because it provides long-term funds. A Chapter 11 • Financing agriculture 303 common problem in the African banking system is the inadequacy or in most cases unavailability of long-term loans longer than fve years. Nevertheless, for plantation crops, fve years may not even be long enough for harvesting to begin (from planting). Thus, there is a mismatch between farmers’ investment horizons and the tenure of funds. The capital market can reduce this mismatch by providing avenues for agricultural ventures to raise long-term funds by issuing stocks and bonds. Debt fnancing through bonds: large-scale and commercial agricultural ventures can raise long-term capital by issuing bonds of various tenures to investors. Such bonds can either be listed on an organized exchange (listed bonds), or they may be privately placed through sales to selected institutional investors. Some of the types of bonds that could be issued by agribusinesses include corporate bonds, project bonds, infrastructure bonds, or green bonds. Equity fnancing: agribusinesses may seek equity participation and through that raise funds for investment. Agricultural sector companies can issue shares to the investing public to raise funds for investment in long-term projects with positive net present values. Equity fnancing can be obtained either through a listing on an organized exchange or through private placement. Through the formal listing procedure, an agricultural company with the help of an underwriter can go through an initial public process to sell its shares to the general public and raise funds. In this case, the ownership of the company is diluted, enabling greater participation in the management and decision-making processes of the business. If the agribusiness concern does not want to go through the formal listing procedure, it can privately arrange to sell the shares to some target entities and individuals, usually institutional investors such as pension funds, insurance companies, and mutual funds. Shares bought via private placement can only be traded over the counter and not on an organized exchange. Organized Stock Exchanges: agricultural sector companies that are well established can get listed on the organized stock market by following the prescribed listing procedures. The listing requirements for stock exchanges are usually stringent, making it diffcult for SMEs and start-ups to meet such requirements. The capital requirement alone may be out of the reach of most agricultural sector companies in developing countries. Thus, this route of fnancing is suitable for large-scale agribusinesses with long track records of viability. This avenue offers businesses the opportunity to raise large amounts of money for long-term investments. Alternative Exchange for SMEs: the current trend is to establish a parallel capital market for only SMEs and start-ups. Such alternative exchanges usually have less-stringent listing requirements compared to the main bourse. The alternative stock exchange provides access to relatively cheap long-term capital for SMEs, including those in the agricultural sector. Few African countries have an alternative market for SMEs, and in those countries that have such a facility uptake by SMEs in general, and agriculture sector SMEs in particular, is low. The alternative exchanges in Africa include Alternative Exchange (AltX) (run by the Johannesburg Stock Exchange), the Ghana Alternative Market (GAX) (run by Ghana 304 Haruna Issahaku et al. Stock Exchange), Alternative Securities Market (run by the Nigeria Stock Exchange), and the Growth Enterprise Market Segment (run by the Nairobi Securities Exchange). Use of derivatives to fnance agriculture: much of the risk in agriculture can be managed by derivatives. A derivative is a fnancial instrument whose value depends on the value of an underlying asset. In this particular context, the underlying asset can be agricultural commodities such as arable crops (e.g. maize, sorghum, wheat, rice, millet, and soybean) or commercial and plantation crops (e.g. cocoa, coffee, rubber, and cashews). Some derivative instruments available for use in agriculture include spot contracts, forwards, futures, options, exchange-traded funds, and swaps. Agricultural commodity derivatives can trade on general commodity exchanges, exchanges developed purposely for agricultural commodities, and overthe-counter exchanges. The development of agricultural and international commodity markets in developing countries will provide a signifcant boost to agriculture. Agricultural and international commodity markets: the development of agricultural and international commodity markets will help promote agriculture in a number of ways. Agricultural commodity markets can reduce transaction costs and risks, make prices and other information available for prudent decision-making, provide instruments for managing various risks in agriculture, facilitate market access, reduce market margins, and indirectly encourage banks and other fnanciers to fnance agricultural value chains (Jayne, Sturgess, Kopicki, & Sitko, 2014). About 14 commodity exchanges are in Africa, at various stages of development. These are shown in Table 11.3. Integrating these exchanges will create a larger and more robust commodity market for the development of Africa’s agriculture. Such integration efforts may begin at the subregional or trade bloc level and then be scaled up to the African Union (AU) level. Developing countries, particularly African countries without agricultural commodity markets, should not rush to establish commodity exchanges (CEs) but should instead ensure that the right conditions are frst put in place. These preconditions have been identifed by Jayne et al. (2014, p. 7) as follows: 1 A pre‐existing vibrant spot market. 2 The potential to achieve suffcient volume traded across the exchange to cover its fxed costs. 3 The presence of ancillary marketing services being offered to enable a commodity exchange to be instituted at relatively low cost. 4 Modes of institutional governance and appropriate incentives suffcient to motivate rapid learning on the part of the CE’s management and a commitment from a government to desist unpredictable and discretionary forms of intervention in commodity markets. Apart from agricultural commodity exchanges, general international commodity exchanges such as the Chicago Board of Exchange, the Chicago Board of Trade, Intercontinental Exchange (Atlanta, USA), Central Japan Commodity Exchange, Deutsche Börse/Eurex, and Saint-Petersburg Chapter 11 • Financing agriculture 305 TABLE 11.3 Commodity exchanges in Africa Name Abbreviation City Commodity types Ghana Commodity Exchange Africa Mercantile Exchange Egyptian Commodities Exchange Nairobi Coffee Exchange Ethiopia Commodity Exchange Mercantile Exchange of Madagascar East Africa Exchange Agricultural Commodity Exchange for Africa Auction Holding Commodity Exchange Bourse Africa (previously GBOT) South African Futures Exchange (part of JSE Limited) Abuja Securities and Commodity Exchange Lagos Commodities and Futures Exchange AFEX Commodities Exchange Limited GCX Accra, Ghana Agricultural AfMX Nairobi, Kenya Agricultural, energy EGYCOMEX Cairo, Egypt Agricultural, energy NCE ECX Nairobi, Kenya Addis Ababa, Ethiopia Antananarivo, Madagascar Kigali, Rwanda Lilongwe, Malawi Lilongwe, Malawi Ebene City, Mauritius Sandton, South Africa Coffee Agricultural ASCE Abuja, Nigeria Agricultural products LCFE Lagos, Nigeria AFEX Nigeria Abuja, Nigeria Agricultural products, Oil and gas, currency Agricultural products MEX EAX ACE AHCX JSE Agricultural, metals, energy Agricultural Agricultural Agricultural Metals, forex Agricultural Source: Wikipedia (2019) International Mercantile Exchange, among others, accommodate the trading of agricultural commodities. This opens a bigger market for the trading of agricultural commodities worldwide. 11.5.5 Risk management Agriculture is saddled with a lot of risks, and these risks also present fnancing opportunities for fnancial institutions. Some of the risks faced by farmers arise from unpredictable weather leading to foods or droughts, pest and disease outbreaks, price volatility, long gestation periods, impeded access to credit, and inputs and markets. An innovative approach to fnancing agricultural risk is to incorporate insurance into a credit scheme. For example, NMB Bank Tanzania and Basix in India make life insurance a compulsory component of their loans (IFC, 2012). This way, one of the risk components that could cause the farmer to default on the loan is taken care of. Examples of innovative risk management fnancing instruments are presented in the following subsections. 306 Haruna Issahaku et al. Some examples are credit-weather insurance, credit-health insurance, production insurance, and index-based insurance products; because of the seeming reluctance of individual insurance companies to invest in agriculture, there is the need to create a platform that pools a number of insurance companies to design innovative insurance packages for the sector. This reluctance to insure agriculture production may be due to a lack of expertise to understand the peculiarities of the sector, inadequate funds, and a lack of innovation. When several insurance companies come together, these challenges are ameliorated, enabling them to design customized insurance products for various clients in the sector. The Ghana Agricultural Insurance Pool (GAIP) is one initiative that could be replicated in other African countries. It is made of 19 insurance companies that pool their funds and expertise to develop various agricultural insurance products for the Ghanaian market. The following are some of the innovative agricultural products provided by GAIP: INSURANCE INSTRUMENTS • Drought index insurance – this product is designed specifcally for small-scale farmers who are many and scattered throughout the country. This insurance package covers the three phases of plant growth – that is, germination, vegetative growth, and fowering/maturity. Payout is based on validated weather reading from a ground weather station or satellite. This type of insurance is suitable for crops such as maize, millet, groundnut, sorghum, and vegetables. • Area yield insurance – claims are paid to the insured farmers when their yield falls below the average yield in a defned geographical area, such as the district where the farm is located. Although the product can be applied to various categories of crops, it is most suitable for cocoa cooperatives and cocoa commercial farmers. • Multi-peril crop insurance – this package is designed for commercial farmers and investors in the agricultural value chain, such as aggregators, banks, off-takers, input dealers, and processors. A key qualifying criterion is that the product be designed for a minimum farm size of 50 acres. This package allows a client to insure against as many hazards as deemed appropriate. • Poultry insurance – this package is designed for a wide range of domestic and foreign poultry, including chicken, turkey, guinea fowl, and duck reared intensively. Some of the perils insured against include diseases (with the exception of avian infuenza), pests, fooding, thunder damages, and theft. MARKET-BASED INSTRUMENTS Market-based price risk management products such as forwards, futures, options contracts, and exchange-traded swaps can be deployed to manage different kinds of risk in agriculture. Emerging economies like Brazil, Argentina, China, India, and South Africa have markets that help manage price risk for players in agriculture. The Bagsa Agricultural Commodity Exchange in Nicaragua facilitates bilateral cash and forwards contracts in the agriculture sector as well as auction services. Bagsa has about 180 shareholders and 36 brokers. The total value Chapter 11 • Financing agriculture 307 traded on the exchange in 2013 alone amounted to USD720 million.6 Some of the commodities traded on the exchange include live cattle, meat, milk products, paddy rice, beans, and coffee. 11.5.6 Financing agriculture through savings Agricultural frms and households stand to beneft greatly from massive savings mobilization drives. According to Höllinger (2011), savings enable individuals and frms to self-insure and to build capital for investment in business activities, education, health, and asset building. In addition, savings assuage the collateral burden by increasing savers’ access to collateral in the form of built assets (assets and properties acquired through savings) and accumulated capital: the amount saved can serve as collateral for a loan (Brune, Giné, Goldberg, & Yang, 2015; Schaner, 2015). Savings can be promoted at the individual level or group level. Individual savings products entail normal savings products, no-frills savings accounts, and subsidized savings accounts. The normal savings accounts provided by banks and allied fnancial institutions often require a minimum balance in accounts at all times and impose limits on withdrawals. In some cases, the interest paid on such accounts is minimal. This often makes such savings products unattractive to farmers. This is where no-frills accounts come in. No-frills accounts, also known as zero balance accounts, waive minimum balance requirements on savings accounts. Also, the cost charged per transaction on no-frills accounts is lower than the per unit transaction cost of conventional savings accounts. The promotion of no-frill accounts should enable a large number of the unbanked to be roped into the formal fnancial system. In cases where no-frills accounts products are not available, savings accounts could be subsidized such that government or an enabling institution bears the cost of minimum balance requirements and other bank charges for farmers. This should reduce the cost of saving for farm households. The available empirical evidence on the benefts of individual savings in the agricultural sector is encouraging. In a study conducted in Kenya on 779 couples who opened bank accounts in 2009, Schaner (2015) examined the impact of subsidized savings in the form of removing the minimum savings balance and making temporary interest payments to account holders. The fndings revealed that the savings subsidy enhanced account penetration while increasing the income of benefciaries. Men who received higher subsidies reported higher incomes, asset ownership, and entrepreneurial activity two and half years after the intervention. Similar benefts were not reported for women. Using data collected in the Tanzania National Panel Survey (TZNPS), Bandara, Dehejia, and Lavie (2014) reveal that bank account ownership by a household is linked with a reduction of eight to ten child labour hours per month. Group savings products are suitable for societies where cooperation and social bonds are valued and encouraged. This is usually so in the rural areas of developing countries. The limited availability of formal savings products in agriculture and rural areas has popularised group savings 308 Haruna Issahaku et al. mechanisms such as village savings and loan associations (VSLAs) or rotating credit and savings associations (ROSCAs). A typical VSLA comprises a group of 15 to 25 self-selected individuals who bring their savings together and issue small loans to members on the basis of the savings. The activities of the group run in cycles of one year, after which the savings and profts realized from the small loans are distributed back to members.7 In a typical ROSCA, members pool their savings into a common fund, usually on a monthly basis, such that at the beginning of each cycle, a single member withdraws a lump sum. Each member takes their turn to withdraw a lump sum. This system of continuous contribution and rotation of funds continues for as long as the group survives.8 The empirical evidence shows positive effects of group savings schemes. In a randomized impact evaluation of VSLA establishments in 80 villages in Burundi, Annan, Armstrong, and Bundervoet (2013) found that while the incidence of poverty increased by 10% among households in control villages, it reduced by 14% among treatment households. A similar impact evaluation of ROSCAs in Mali revealed that participating households experienced a reduction in poverty and food insecurity (BARA & IPA, 2013). 11.5.7 Financing agriculture through foreign direct investment (FDI) The insuffciency of savings and other domestic fnancing sources to satisfy the funding needs of agriculture in developing countries mean that they will have to look elsewhere to fll this gap. FDI is one source of capital infow that can help bridge the funding gap in agriculture. To attract more FDI to the agriculture sector, developing countries must understand the factors that drive FDI fows to the sector. The literature shows that factors that draw FDI to the agricultural sector include the size of the economy (the larger the better), trade openness (the more open the better), infrastructure (the more endowed the better), forest land share (the larger the better), size of agricultural market (the larger the better), agriculture value added (the larger the better), and poverty (the lower the better) (Farr, 2017; Abdul Rashid, Abu Bakar, & Abdul Razak, 2016). Agricultural sectors in developing countries stand to beneft a lot from FDI. Some of the benefts of FDI have been discussed extensively in the literature. FDI increases agricultural production, productivity, employment; lowers prices (Gerlach & Liu, 2010); and has positive technological spillover effects (Tondl & Fornero, 2010). Chaudhuri and Banerjee (2010) found that FDI in agricultural land improves welfare and also reduces unemployment among both skilled labour and unskilled labour. However, the benefts of FDI must be counterbalanced against the negatives. FDI can hurt the health of households and degrade and pollute the environment (Ben Slimane, Huchet-Bourdon, & Zitouna, 2016). Of recent interest is FDI in agricultural lands, a phenomenon called land grabbing. So far, the literature on the impact of FDI in agricultural land on food security is scanty and controversial. In a qualitative study in Africa, Cotula, Chapter 11 • Financing agriculture 309 Vermeulen, Leonard, and Keeley (2009) concluded that foreign investors in agricultural land are simply land ‘grabbers’ that hinder local development and increase food insecurity by exploiting water resources and using certain fertilizers and other chemicals which are harmful to the environment. On the contrary, Sliman et al. (2016) found that agricultural FDI leads to improvements in food security. The authors, however, found that FDI in the secondary and tertiary sectors leads to food insecurity. Santangelo (2018) has advocated an analysis of the impact of land grabbing in developing countries on the basis of the origin of FDI infows. On the one hand, the author found that FDI in land from developed country investors in addition to positive spillovers enhances food security by increasing land used for crop production due to home institutional pressure for the respect of human rights and responsible farming practices. On the other hand, FDI in land from developing country investors, in addition to negative spillovers, leads to food insecurity by displacing farmlands owing to home-country institutional pressure to align with ‘national interests’ and ‘government objectives’. 11.5.8 Digital fnancial and agricultural development Conventional fnancing mechanisms have not been able to satisfy the fnancing needs of agriculture, particularly the needs of smallholder farmers. Indeed, access to fnance has become a common and intractable problem in developing country agriculture. Meanwhile, 80% of the world’s population is fed by smallholder farmers who total about 1.5 billion people (USAID, 2016). Again, smallholder farmers form the largest proportion of the world’s poor who live on less than USD2 a day (Grossman & Tarazi, 2014). The fnancing shortfall among smallholder farmers is estimated to be USD430 billion to USD440 billion (USAID, 2016). Thus, smallholder farmers are by far the group that needs fnancial inclusion the most, but unfortunately, they are also among the most diffcult to reach. The potentials of digital fnancial services (DFS) can be harnessed to jumpstart fnancial inclusion among all categories of farmers and those who are hard to reach in general. DFS refers to gaining access to or using fnancial services and products through digital channels such as mobile phones, tablets, computers, point-of-sale devices, and electronic cards (debit cards, credit cards, and key fobs). Digital fnancial instruments can be used to access credit, subscribe to insurance, transfer money, make purchases, access information without the need for face-to-face contact with the parties in the transaction, unlike conventional brick and mortar banking. According to the World Development Report 2016, digital fnance can be harnessed to promote fnancial inclusion, increase the effciency of fnancial service delivery, and drive fnancial innovation. Digital payments (e.g. mobile payments) can break access barriers and bring fnancial services to the doorsteps of the poor. Digital fnance lowers the cost of fnancial transactions and the delivery cost of fnancial services. This is because digital fnance allows for the unbundling of fnancial services and products and enables the automation of fnancial service delivery at any scale: small, medium, and large. Digital fnance offers limitless 310 Haruna Issahaku et al. possibilities for fnancial innovation. These innovations can range from process automation to the development of new and customized products and services at a reduced cost in an effcient manner. USAID (2016) outlines some roadblocks in smallholder agriculture and indicates how fnancial digitization can remove them. These roadblocks include diffculty in getting the right fnancial products for smallholder farmers, the low competitiveness of smallholders in agriculture value chains, women’s lack of a voice in decision-making in agriculture, poor post-harvest management and inability to speculate for higher prices for products, low savings capacity, diffculties in managing weather risks, and high cost of inputs. Digital fnancial services can be used to remove these roadblocks by reducing the cost of delivering fnancial services, reducing price opacity, encouraging inventory-based credit, reducing risk in the delivery of fnancial services and increasing access of the poor, including women, to a wide range of fnancial services, such as credit, savings, crop insurance, weather insurance, and payments. There are four main innovations in digital fnance (Bank of England, 2014): 1 Wrappers provide a digital interface with a bank account or credit card. With the help of wrappers, one can receive SMS alerts when a transaction is done with a bank account by use of either cheque or credit card. 2 Mobile money systems store mostly local currency as a credit on the smart card or in the books of the service provider and enable transactions online or through a mobile phone. Mobile money services, especially those mediated by mobile phones, have become popular among the unbanked and underbanked in Africa. Various telecommunication companies have rolled out mobile money services to help the poor gain access to fnancial services – speedily, at reduced cost, and at greater convenience. Farmers are able to make and receive payments through their mobile phones. This means they can easily sell farm products and access farm inputs. Farmers can also purchase investment products, save money, and access funds via their mobile phones. Increasingly, mobile money services are being linked to the formal fnancial system, such that it is now possible to transfer money from a bank account to a mobile money wallet and vice versa. Some common mobile money services include M-Pesa, MTN mobile money, TigoCash, and Airtel money. 3 Credits and local digital currencies are alternative units of account denominated in foreign currency aimed at promoting spending in a local economy or as a way of exchanging game proceeds. 4 Digital currency is a new type of currency that is available only in digital form and not in physical paper currency or coin currency form. Digital currencies can be transferred only electronically. Many countries are still sceptical about the use of digital currency. Some recent empirical studies have provided support for the importance of mobile technology and digital fnancial services in promoting agricultural Chapter 11 • Financing agriculture 311 development. Information and communications technology (ICT) has been found to boost extension services delivery (Fu & Akter, 2016), agribusiness (Tadesse & Bahiigwa, 2015), land management (Jordan, Eudoxie, Maharaj, Belfon, & Bernard, 2016), and productivity (Issahaku, Abu, & Nkegbe, 2017). In particular, Issahaku et al. (2017) showed that mobile phone use increased the productivity of maize farmers by at least 261.20 kg/ha per production season. The authors found that mobile phone use affected productivity through three main channels: extension services, the adoption of modern technology, and market participation. Already, there are success stories about the application of digital fnancial services to promote agricultural development along agricultural value chains. For instance, USAID’s/Ghana’s Agricultural Development and Value Chain Enhancement (ADVANCE) II project is using a digital fnancial system (mainly mobile phone mediated) to establish and strengthen linkages among smallholder farmers, markets, fnance, large-scale farmers, traders, and input and equipment suppliers. Under ADVANCE II, farmers receive payments for their harvest via mobile money; the capacities of mobile money agents have been built to serve farmers well; farmers are encouraged to save. The government of Nigeria implemented a pilot programme, an e-voucher system, for the distribution of fertilizer subsidies in 2011. By 2013, the system was scaled up to the entire country and served over 4.3 million small-scale famers. Under this system, each farmer had a mobile phone e-wallet with a unique personal identifcation number (PIN) to access fertilizer subsidies. This has drastically reduced corruption in the distribution of subsidized fertilizer in Nigeria (USAID, 2016). 11.6 OVER-INDEBTEDNESS IN AGRICULTURE Rising debt among farmers and agriculture-related companies has become of great concern to agricultural sector players. Davydoff et al. (2008) have conceptualized over-indebtedness as a high debt service that pushes an individual or household below the poverty line. The causes of unsustainable debts in agriculture are many and varied. A review by Datta, Tiwari, and Shylajan (2016) identifed the causes of high indebtedness in agriculture as unproductive uses of the loan (for marriages, funerals, and other social ceremonies), erratic rainfall, foods and drought, declining production and productivity, overreliance on noninstitutional sources of credit (money lenders), persistent losses, and rising costs of inputs. Some other causes of over-indebtedness include a lack of coordination among debtors due to a lack of information on the credit history of borrowers, pests and diseases, and high levels of fnancial illiteracy. Thus, any farm policy intended to curtail unsustainable debts in agriculture should incorporate these factors. Furthermore, debtors and policymakers need to establish debt thresholds that lead to over-indebtedness for various farming communities and households. In a study in South Africa, Ntsalaze and Ikhide (2017) found that exceeding a debt-to-income ratio of 42.5% leads to declines in household welfare. 312 Haruna Issahaku et al. Over-indebtedness has both direct effects and indirect effects on poverty (Ntsalaze & Ikhide, 2017). In terms of the direct effects, the high debt service burden reduces the availability of resources for agricultural households to meet their needs. The indirect effects arise from the fact that high debt subdues growth due to a reduction in farm investments. Other consequences of over-indebtedness include stigmatization, legal consequences, insolvency, and perpetual penury. 11.7 AGRICULTURE FINANCE PLUS Complementarities are crucial in agricultural fnancing. In this regard, agricultural fnancing must come in a full package in order to be effective. Agricultural credit and other fnancing programmes must have an education and training component that teaches farmers how to effectively apply the credit to good effect. Apart from fnancing needs, farmers and agriculture companies need training on which breed of animal or seed to plant, when to start the business, how to keep records, and customer care, among others. If these other needs are not properly taken care of, it will be diffcult for farmers and agricultural sector companies to meet their fnancial obligations when they fall due. Thus, agricultural fnancing programmes should incorporate education, training, and fnancial literacy. This is called agriculture fnance plus. Agriculture fnance plus should help improve the use of funds and thus reduce the risk of default in the sector. 11.8 ROLE OF GOVERNMENT IN AGRICULTURAL FINANCING The state has a critical role to play in providing funding and creating an enabling environment for agriculture to thrive. The roles of government could range from establishing the legal and regulatory framework, infrastructure fnance, research and development (R&D) fnance, and establishing loan guarantee funds. Legal and regulatory frameworks: fnancial regulation is important for ensuring the optimal allocation of fnancial resources, reducing information and transaction costs, and the development of sustainable fnancial markets and institutions. Financial regulation must protect farmers from Ponzi schemes and provide some fexibility for innovative products to be designed for the sector. Infrastructure fnance: according to Ruete (2015), a fourishing agriculture sector requires supporting infrastructure such as road networks linking farms to market centres, irrigation schemes to reduce farmers’ overreliance on nature, storage infrastructure to stem post-harvest losses, telecommunications to facilitate transactions, water for household and agro-industrial use, and electricity to power agro-industries. Infrastructure fnance can be a collaborative effort between the government, fnancial institutions, and private partners. R&D fnance: innovation and knowledge are crucial to the transformation of agriculture. However, fnancing R&D in agriculture is often not Chapter 11 • Financing agriculture 313 attractive to the private sector. This means the government must take the lead. More funding should be channelled to the various agriculture research institutions and universities to drive agricultural innovation. Loan guarantee funds: governments may provide loan guarantees schemes to reduce the default risk in the agriculture sector in order to encourage more fnancial institutions to participate in agriculture fnancing. 11.9 CONCLUSION The agriculture sector, although beset by a lot of risks, still has a lot of fnancing opportunities that can be explored to position it as a key tool for poverty reduction both in the short term and in the long term. To achieve these ends, it will take a collaborative effort between governments, fnancial institutions, development fnance institutions, and other actors in the value chain to provide the needed fnancing for the sector. Going forward, there must be a departure from funding agriculture in a piecemeal fashion to adopting a more holistic approach to agricultural fnancing. This chapter, therefore, provides an assessment of potential fnancing models of agriculture with a view to better understanding what can work to support the growth of the sector for inclusive development. First, and in line with Agar (2011), we advocate an integrated approach to fnancing agriculture. Such fnancing must encompass agriculture value chain, nonfarm enterprise, and the household. This integrated approach is necessitated by the fungible nature of money. It would not be enough to make funding available to farmers only for production purposes. The consumption needs of farmers are linked to their production needs and to their nonfarm activities. Thus, if farmers know that they can get funding only for farming and not for their health, educational, and other needs, they will still go for loans for farming purposes but divert them to meet their survival and other most pressing needs. Thus, a holistic approach to funding agriculture that addresses both agricultural and nonagricultural needs is the way to go. Second, we note that fnancial inclusion and fnancial innovation are critical channels by which fnancial products and services can be brought to the doorsteps of the rural population. In the spirit of that, we argue that digital fnancing services such as mobile banking, mobile payments, and branchless banking services should be pursued by fnancial institutions and fnancial sector actors in this regard. Third, an enabling environment for business generally is also good for agriculture fnancing and agriculture growth. In particular we argue that improving the effciency of the judiciary and the courts, consolidating land and property rights, and investing in infrastructure such as transport, telecommunications, electricity, and water in agricultural areas will affect agriculture not only directly but also indirectly, by making fnancing for agriculture more accessible. Finally, capacity-building programmes are needed in order to strengthen the capacities of agricultural fnancial institutions and imbue farmers and agriculture entrepreneurs with the requisite knowledge to make the right fnancing decisions. 314 Haruna Issahaku et al. Discussion questions 1 Discuss how poor countries can reduce their reliance on raw material exports. How will this reduce economic vulnerabilities? 2 Discuss agriculture sector-specifc risks, teasing out the fnancing opportunities that belie such risks. 3 How can the different risks in agriculture be mitigated by using various fnancial instruments? 4 To what extent can movable asset fnancing be used to ease collateral constraints in smallholder agriculture? 5 Discuss how digital fnance can solve some identifed constraints in the agriculture sector. 6 Discuss the various capital fnancing mechanisms for agriculture. Notes 1 Read more at http://marketrealist.com/2015/12/analyzing-european-unions-gdp-composition/. 2 This is computed as the agriculture share of credit, over the agriculture share of GDP. 3 Read more details at www. un.org/waterforlifedecade/food_ security.shtml. 4 The discussion in this section is adapted mainly from International Finance Corporation (2012) and then Miller and Jones (2010) and Ruete (2015). 5 The cases used to support the discussion in this presentation were drawn mainly from the International Financial Corporation (2012). 6 Read more at www.centralamericadata.com/en/article/home/ Nicaragua_Agricultural_Exchange_ Traded_720_million_in_2013. 7 Read more about VSLAs at www. vsla.net/aboutus/vslmodel. 8 Read more about ROSCAs at www. investopedia.com/terms/r/rotatingcredit-and-savings-association. asp. References Abdul Rashid, I. M., Abu Bakar, N., & Abdul Razak, N. A. (2016). Determinants of foreign direct investment (FDI) in agriculture sector based on selected high-income developing economies in OIC countries: An empirical study on the provincial panel data by using stata, 2003–2012. Procedia Economics and Finance, 39, 328–334. Agar, J. (2011). Rural and agricultural fnance: Taking stock of fve years of innovations. Micro Report No. 181. Washington, DC: USAID. Annan, J., Armstrong, M., & Bundervoet, T. (2013). Urwaruka Rushasha: A randomized impact evaluation of village savings and loans associations and family-based interventions in Burundi. Evaluation Brief. New York: International Rescue Committee. Gerlach, Ann-Christin, A., & Liu, P. (2010). Resource-seeking foreign direct investment in African agriculture: A review of country case studies. FAO Commodity and Trade Policy Research Working Paper No. 31. Rome: Trade and Markets Chapter 11 • Financing agriculture 315 Division of the Food and Agriculture Organization of the United Nations (FAO). Bandara, A., Dehejia, R., & Lavie, S. (2014). Impact of income and nonincome shocks on child labour. New York: World Institute for Development Economics Research, United Nations University. Bank of England. (2014). Innovations in payment technologies and the emergence of digital currencies. Quarterly Bulletin 2014, Q3. Retrieved from https://www.bankofengland. co.uk/quarterly-bulletin/2014/q3/ innovations-in-payment-technologiesa n d - t h e - e m e rg e n c e - o f - d i g i t a l currencies BARA (Bureau of Applied Research in Anthropology), & IPA (Innovations for Poverty Action). (2013). Final impact evaluation of the saving for change program in Mali, 2009–2012. Bureau of Applied Research in Anthropology, University of Arizona, and Innovations for Poverty Action. Evaluation commissioned by OXFAM America and Freedom from Hunger. Retrieved from https://mangotree.org/Resource/ Report-Summary-Final-evaluationfor-the-Saving-for-Change-Programin-Mali-2009-2012 Slimane, Ben M., Huchet-Bourdon, M., & Zitouna, H. (2016). The role of sectoral FDI in promoting agricultural production and improving food security. International Economics, 145, 50–65. Brune, L., Giné, X., Goldberg, J., & Yang, D. (2015). Facilitating savings for agriculture: Field experimental evidence from Malawi (No. w20946). Cambridge, MA: National Bureau of Economic Research. Chaudhuri, S., & Banerjee, D. (2010). FDI in agricultural land, welfare and unemployment in a developing economy. Research in Economics, 64, 229–239. Christiaensen, L. (2017). Agriculture in Africa – telling myths from facts: A synthesis. Food Policy, 67, 1–11. Cotula, L., Vermeulen, S., Leonard, R., & Keeley, J. (2009). Land grab or development opportunity? Agricultural investment and international land deals in Africa. London and Rome: IIED, FAO, IFAD. Datta, S., Tiwari, A. K., & Shylajan, C. S. (2016). An empirical analysis of nature, magnitude and determinants of farmers’ indebtedness in India. International Journal of Social Economics. doi:10.1108/IJSE-11-2016-0319 Davydoff, D., Naacke, G., Dessart, E., Jentzsch, N., Figueira, F., Rothemund, M., . . . Finney, A. (2008). Towards a common operational European defnition of over-indebtedness. Brussels: European Communities, Directorate-general for Employment, Social Affairs and Equal Opportunities European Commission. FAO. (2017). Database -FAOSTAT. Retrieved from www.fao.org/faostat/en/#home FAO. (2019). Constraints and challenges in forest plantations. Retrieved June 29, 2019, from www.fao.org/3/y7209e/ y7209e06.htm Farr, F. (2017). Determinants of foreign direct investment and foreign direct investment in agriculture in developing countries. Manhattan: Master of Agribusiness, Department of Agricultural Economics, Kansas State University. Fox, L., Thomas, A., & Cleary, H. (2017). Structural transformation in employment and productivity: What can Africa hope for? Washington, DC: International Monetary Fund. Fu, X., & Akter, S. (2016). The impact of mobile phone technology on agricultural extension services delivery: Evidence from India. Journal of Development Studies, 52(11), 1561–1576. Giovannucci, D., Varangis, P., & Larson, D. (Eds.). (2000). Warehouse receipts: Facilitating credit and commodity markets. Retrieved from http://ssrn.com/ abstract=952596 Grossman, J., & Tarazi, M. (2014). Serving smallholder farmers: Recent developments in digital fnance. Washington, 316 Haruna Issahaku et al. DC: CGAP (Consultative Group to Assist the Poor). Höllinger, F. (2011). Agricultural fnance – trends, issues and challenges. Eschborn: GIZ. International Finance Corporation (IFC). (2012). Innovative agricultural SME fnance models. Washington, DC: Author. Issahaku, H., Abu, B. M., & Nkegbe, P. K. (2017). Does the use of mobile phones by smallholder maize farmers affect productivity in Ghana? Journal of African Business, 19(3), 302–322. doi:1 0.1080/15228916.2017.1416215 Jayne, T. S., Sturgess, C., Kopicki, R., & Sitko, N. (2014). Agricultural commodity exchanges and the development of grain markets and trade in Africa: A review of recent experience. FoodTrade East and Southern Africa. Retrieved from https:// www.researchgate.net/publication/ 272744447_agricultural_commodity_ exchanges_and_the_development_of_ grain_markets_and_trade_in_africa_a_ review_of_recent_experience Johnston, B. F., & Mellor, J. W. (1961). The role of agriculture in economic development. The American Economic Review, 51(4), 566–593. Jordan, R., Eudoxie, G., Maharaj, K., Belfon, R., & Bernard, M. (2016). Agrimaps: Improving site-specifc land management through mobile maps. Computers and Electronics in Agriculture, 123, 292–296. Miller, C., & Jones, L. (2010). Agricultural value chain fnance: Tools and lessons. Rome: Food and Agriculture Organization, Practical Action Publishing. National Research Council. (2015). Critical role of animal science research in food security and sustainability. Washington, DC: The National Academies Press. doi:10.17226/19000 Ntsalaze, L., & Ikhide, S. (2017). The threshold effects of household indebtedness on multidimensional poverty. International Journal of Social Economics, 44(11), 1471–1488. Pouw, N., & Gupta, J. (2017). Inclusive development: A multi-disciplinary approach. Current Opinion in Environmental Sustainability, 24, 104–108. Ruete, M. (2015). Financing for agriculture: How to boost opportunities in developing countries. Investment in Agriculture Policy Brief No. 3. Winnipeg: International Institute for Sustainable Development. Santangelo, G. D. (2018). The impact of FDI in land in agriculture in developing countries on host country food security. Journal of World Business, 53(1), 75–84. Schaner, S. (2015). The persistent power of behavioral change: Long-run impacts of temporary savings subsidies for the poor. Documento de trabajo. Hanover, NH: Dartmouth College. Steinfeld, H., & Mack, S. (2019). Livestock development strategies. Retrieved June 29, 2019, from www.fao.org/3/ V8180T/v8180T0a.htm Tadesse, G., & Bahiigwa, G. (2015). Mobile phones and farmers’ marketing decisions in Ethiopia. World Development, 68, 296–307. Tondl, G., & Fornero, J. A. (2010). Sectoral productivity and spillover effects of FDI in Latin America: Sectoral productivity and spillover effects of FDI in Latin America. FIW Working Papers. FIW – Kompetenzzentrum Forschungsschwerpunkt Internationale Wirtschaft. Retrieved from https://www.econstor.eu/ handle/10419/121055?locale=de USAID. (2016). Guide to the use of digital fnancial services in agriculture. USAID. Retrieved from https://www.usaid. gov/digitalag/documents/digitalfnancial-services-agriculture-guide Wikipedia. (2019). List of commodity exchanges. Retrieved July 4, 2019, from https://en.wikipedia.org/wiki/List_ of_commodities_exchanges World Development Indicators. (2017). World development indicators. Washington, DC: World Bank. 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 06_15 06_10 11_15 Source: World Development Indicators (2017) East Asia & 1,088.9 1,285.4 1,322.4 1,389.8 1,427.7 1,466.5 1,528.0 1,591.3 1,649.4 1,712.7 1,766.9 1,514.0 1,378.3 1,649.7 Pacifc Europe & 8,801.8 10,448.2 10,570.4 11,336.3 11,664.6 11,444.7 12,470.7 12,336.3 13,128.5 13,774.3 14,309.1 12,148.3 11,092.8 13,203.8 Central Asia Latin 4,541.2 5,676.4 5,975.2 6,205.5 5,951.5 6,427.4 6,679.2 6,655.5 7,107.6 6,912.8 7,228.3 6,481.9 6,047.2 6,916.7 America & Caribbean Low income 401.1 422.8 455.5 462.5 472.4 482.1 479.0 494.1 490.7 500.7 504.1 476.4 459.1 493.7 Middle East 3,803.4 4,829.1 4,723.4 4,403.6 4,770.5 4,972.9 5,193.4 5,296.7 5,635.0 5,792.3 5,938.5 5,155.5 4,739.9 5,571.2 & North Africa Middle 1,211.2 1,478.9 1,519.9 1,566.1 1,592.5 1,661.2 1,731.9 1,773.1 1,853.5 1,886.6 1,920.0 1,698.4 1,563.7 1,833.0 income High income 22,419.8 27,489.4 28,024.6 30,422.9 32,277.6 32,099.7 33,240.6 32,997.5 36,405.7 37,959.9 39,256.7 33,017.5 30,062.8 35,972.1 South Asia 871.7 946.3 990.7 984.2 989.8 1,048.5 1,083.4 1,093.8 1,135.8 1,130.2 1,131.7 1,053.4 991.9 1,115.0 Sub-Saharan 776.3 994.6 1,028.8 1,081.1 1,092.0 1,120.6 1,130.5 1,174.1 1,184.8 1,209.6 1,223.3 1,123.9 1,063.4 1,184.4 Africa World 1,557.5 1,778.2 1,812.2 1,872.0 1,905.6 1,953.5 2,011.9 2,027.9 2,122.8 2,152.9 2,179.2 1,981.6 1,864.3 2,098.9 2000 TABLE A13.1 Agriculture value added per worker (constant 2010 USD) Appendix Chapter 11 • Financing agriculture 317 CHAPTER 12 Financing sustainable development New insights for the present and the future Gordon Abekah-Nkrumah, Patrick O. Assuming, Patience Aseweh Abor and Jabir Ibrahim Mohammed 12.1 INTRODUCTION Sustainable development has been a long-standing issue since the 1980s, and several conferences have been held to discuss issues pertaining to sustainable development. Sustainable development serves as the key idea around which environment and development goals are structured. It also serves as the principal goal of many more institutions in development than in previous times. The United Nations established an independent group of 22 people drawn from member states in 1984, taken from both developing countries and developed countries. The main aim of the group was to identify longterm environmental strategies for the international community. In 1987, the World Conference on Environment and Development (WCED) published a report titled Our Common Future. This report is often referred to as the Brundtland Report, named after its chair, the prime minister of Norway, Gro Harlem Brundtland (Brundtland, 1985). The report used the term ‘sustainable development’, which is widely defned as ‘development that meets the needs of the present without compromising the ability of future generations to meet their own needs’ (p. 43). This report highlighted the argument that economic inequities will lead to the overexploitation of resources and that economic growth is needed especially in poorer countries in order to satisfy their basic human needs. The report further states that this kind of development must follow a ‘new pathway’ that does not entail environmental destruction. They report that this renewed pathway for achieving sustainable economic growth and the equitable redistribution of wealth can be achieved only through political participation. The proclivity of sustainability in the words of John Robinson and Jon Tinker hinges on three key elements: ecological, economic, and social imperatives. They argue that most sustainable theorists and practitioners mostly expand on the dimensions of the social imperatives to include both Chapter 12 • Financing sustainable development 319 intergenerational and intragenerational equity. The argument is that a sustainable world must provide for the basic needs of all people living today (intragenerational equity) without compromising the ability of future generations to meet their needs (intergenerational equity). For the current generation to be able to provide for the basic needs of all people living today without precluding future generations from meeting their needs, rigorous mechanisms for fnancing sustainable development that cate for the present and the future needs of humanity will be needed. The Intergovernmental Committee of Experts on Sustainable Development Financing (ICESDF), for instance, suggests that suffcient funds exist internationally to achieve sustainable development, but this requires strong political commitment to structural reforms, coupled with new and innovative fnancing mechanisms in order to make tangible progress. The outcome of the Third Conference on Financing for Development (FfD) held in Addis Ababa in July 2015 represents a critical contribution to the post-2015 sustainable development agenda and the drive for implementation. We defne ‘sustainable development fnance’ as a fnancing mechanism that provides clean and innovative blended sources of fnance to meet the needs of current and future generations. The concerted mechanism of fnance may be obtained from both domestic and international sources, including public funds and private funds, such as environmental fnance, private sector fnance, and innovative fnance for sustainable development. In this chapter, we examine fnancing for sustainable development. We frst provide an overview of sustainable development by looking at the Millennium Development Goals (MDGs) and the Sustainable Development Goals (SDGs). We also discuss the challenges and benefts of fnancing sustainable development, bring up the sources of fnancing for sustainable development, and fnally make concluding remarks. 12.2 OVERVIEW OF SUSTAINABLE DEVELOPMENT Sustainable development is concerned with development that meets the needs of the current without sacrifcing the future generations’ ability to meet their needs. The modern use of the term ‘sustainable development’ is derived mainly from the Brundtland Report (1987). It contains two key concepts: frst, the concept of ‘needs’, in particular the essential needs of the world’s poor, to which overriding priority should be given, and, second, the idea of limitations imposed by the state of technology and social organization on the environment’s ability to meet present and future needs (Brundtland, 1987). The meaning of the concept of sustainable development has evolved over time. The initial focus of sustainable development was on sustainable forest management and environmental issues. However, as the concept evolved, the focus shifted towards economic and social development as well as protecting the environment for future generations. We provide the evolution of the concept of sustainable development in Box 12.1. 320 Gordon Abekah-Nkrumah et al. BOX 12.1 The evolution of the concept of sustainable development The United Nation Education Scientifc and Cultural Organization (UNESCO), at a conference on the biosphere, initially launched the idea of sustainable development in 1968. The concept of sustainable development received its frst major international recognition in 1972 at the UN Conference on Human Environment held in Stockholm. The term was not referred to as sustainable development, though the international community decided that development should address the needs of the environment without causing adverse effects to the inhabitants, so that it is maintained and passed on to future generations while being managed in a mutually benefcial way. Again, the United Nations Conference on Environment and Development (also called the Earth Summit) held in Rio de Janeiro in 1992, re-echoed the need for sustainable development. The summit was the initial international attempt to develop action plans and strategies to achieve a more sustainable pattern of development. In 2002, ten years after the summit in Rio de Janeiro, the World Summit on Sustainable Development was held in Johannesburg and attended by 191 national governments, UN agencies, multilateral fnancial institutions, and other major groups to assess progress since the conference in Rio de Janeiro. The main areas of commitment during the summit were sustainable consumption and production, water and sanitation, and energy. Source: www.sd-commission.org.uk/pages/history_sd.html The term ‘sustainability’ is derived from the Latin root sus-tinere, meaning to under-hold or hold up from underneath, which implies robustness and durability over time. Sustainability also depicts a paradigm that protects the planet’s life support system to ensure the longevity of humans and other species. While ‘sustainability’ is viewed as humanity’s target for human–ecosystem equilibrium (homeostasis), ‘sustainable development’ is concerned with the holistic approach and temporal processes that result in the end point of sustainability (Shaker, 2015). At the global level, reference is currently being made to the SDGs in the attainment of specifc sustainable development outcomes by 2030. The SDGs build on the MDGs, which were set in 2000. We provide some brief discussion on the MDGs and the SDGs. 12.2.1 The Millennium Development Goals In 2000, all 191 member states of the United Nations and at least 22 international organizations made a commitment to achieve eight international development goals by the year 2015. These goals were referred to as the MDGs. The MDGs were essentially antipoverty goals born out of the need Chapter 12 • Financing sustainable development 321 to put in place a mechanism to implement the Millennium Declaration. The Millennium Declaration considered certain fundamental values – freedom, equality (of individuals and nations), solidarity, tolerance, respect for nature, and shared responsibility – to be essential in international relations in the 21st century. The MDGs, along with 21 specifc targets, encapsulated the objects of development as understood at the time, as well as key enablers for achieving them. Thus, the goals centred on human capital, infrastructure, and human rights, to improve living standards. The MDGs galvanized unprecedented levels of concerted efforts of a broad coalition of individuals and organizations working in development: academics, governments, intergovernmental organizations, nongovernmental organizations (NGOs), and other members of civil society. The MDGs consequently became the standard for judging the success of development programmes around the world. After 15 years of MDGs, signifcant progress was made in several areas. One of the major achievements is the reduction in poverty. Globally, the number of people living in extreme poverty (i.e. people living on less than USD1.25 per day) declined by more than 50%, and the global target of halving extreme poverty was achieved ahead of time in 2010 (UN, 2015). In addition, the proportion of workers in vulnerable employment also fell, although 45% were still working in vulnerable conditions (National Development Planning Commission [NDPC], 2015). With regard to achieving universal primary education, signifcant progress was made towards it in developing regions of the world. The net enrolment rate (NER) in primary education increased from 83% in 2000 to 90% in 2012 (NDPC, 2015). Signifcant progress has also been made towards gender equality in primary education and the participation of women in political activities in developing regions. However, progress towards improving gender equality in labour markets remains slow. Substantial progress was made in improving child and maternal healthcare even though the target was not achieved by 2015. Under-fve mortality declined from 90 to 43 deaths per 1,000 live births between 1990 and 2015, despite population growth in developing regions. Similarly, maternal mortality declined by about 45% worldwide, though this reduction was still below the target. Further, the incidence of HIV at the global level reduced by 40% between 2000 and 2013. Malaria-related mortality rates fell by 42% globally between 2000 and 2012 due to improvements in malaria interventions. Between 2000 and 2015, over 6.2 million malaria deaths were averted, 97% of whom were young children (UN News Centre, 2015). Also, over 2.3 billion more people gained access to improved sources of drinking water, representing 89% of the world’s population by 2012 (NDPC, 2015). Finally, a signifcant improvement was recorded in offcial development assistance (ODA). ODA from developed economies grew by 66% in real terms from 2000 to 2014 (UN News Centre, 2015). The debt burden of developing countries has also fallen dramatically, and there has been a substantial increase in internet access worldwide (NDPC, 2015). ACHIEVEMENTS AND CHALLENGES 322 Gordon Abekah-Nkrumah et al. However, the substantial global progress masked progress across the regions and countries of the world. First, in spite of the progress made, a large number of people still live in poverty. An estimated 800 million people around the world still live in extreme poverty, hunger, and deprivation. Moreover, over 160 million children under fve years of age are too short for their age, due to insuffcient food, while 57 million children of school-going age are not in school. Second, in spite of progress made, huge gaps in socioeconomic status and economic opportunities exist between rural households and urban households. For instance, around the world, those in the rural population who do not use improved drinking water sources is four times that of the urban population (UN, 2015). Third, in most parts of the world, gender inequalities persist, as many women are discriminated against in the areas of economic opportunities and participation in private and public decisionmaking. Finally, in terms of climate change and the environment, environmental degradation and the negative effects of climate change persist, the poor bearing a disproportionate share of the consequences. 12.2.2 From MDGs to SDGs The foregoing analyses indicate that while signifcant progress has been made, concerted and focused global efforts are needed to address extreme hardship and deprivation. Uneven progress made on the MDG targets meant that large sections of the population in low-income countries, particularly those in Africa, are without access to basic services. In addition, efforts on some of the MDGs also remained off-track, especially those that relate to child and maternal healthcare. Moreover, there has been an increasing recognizing that several key emerging issues in development were not captured under the MDGs and that therefore the 2030 Agenda required an expanded range of goals and outcomes. The idea for SDGs was conceived at the United Nations Conference on Sustainable Development in Rio de Janeiro, Brazil, 20–22 June 2012. The aim was to come out with a set of universal goals that meet the urgent environmental, political, and economic challenges facing our world. Thus, the SDGs came as a bold commitment to fnish what was started and address other, more-challenging issues the world is facing. It builds on the MDGs and aims to fll in the gaps in the objectives and achievements of the MDGs, particularly reaching the most vulnerable. The SDGs are also known as the 2030 Agenda as the deadline for achieving the goals is 2030. The goals are interconnected, so success in one would invariably lead to success in others. Hence, the scope of the SDGs goes far beyond the MDGs, to include a wider range of economic, social, and environmental objectives. More importantly, it defnes the means of implementing SDGs. The main focus of the MDGs was poverty reduction, and they didn’t consider the various complications of global poverty. This lack is important to point out because the world’s social, economic, and environmental landscape is constantly changing, which affects the poor. The SDGs thus seek to address issues underpinning poverty and employ an approach that interconnects all the three aspects of sustainable development: economic, social, and environmental. Chapter 12 • Financing sustainable development 323 TABLE 12.1 MDGs and SDGs MDGs SDGs 1 Eradicate extreme poverty and hunger. 1 End poverty in all its forms everywhere 2 End hunger, achieve food security and improved nutrition, and promote sustainable agriculture. 3 Ensure inclusive and equitable quality education and promote life-long learning opportunities for all. 4 Achieve gender equality and empower all women and girls. 5 Ensure healthy lives and promote wellbeing for all at all ages. 6 Ensure healthy lives and promote wellbeing for all at all ages. 7 Ensure healthy lives and promote wellbeing for all at all ages. 8 Ensure availability and sustainable management of water and sanitation for all. 9 Strengthen the means of implementation and revitalize the global partnership for sustainable development. 10 Ensure access to affordable, reliable, sustainable, and modern energy for all. 11 Promote sustained, inclusive, and sustainable economic growth, full and productive employment, and decent work for all. 12 Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation. 13 Reduce inequality in and among countries. 14 Make cities and human settlements inclusive, safe, resilient, and sustainable. 15 Ensure sustainable consumption and production patterns. 16 Take urgent action to combat climate change and its impacts. 17 Conserve and sustainably use the oceans, seas, and marine resources for sustainable development. 18 Protect, restore, and promote the sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertifcation, and halt and reverse land degradation and halt biodiversity loss. 19 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all, and build effective, accountable, and inclusive institutions at all levels. 2 Achieve universal primary education. 3 Promote gender equality and empower women. 4 Reduce child mortality. 5 Improve maternal health. 6 Combat HIV/AIDS, malaria, and other diseases. 7 Ensure environmental sustainability. 8 Global partnership for development. 324 Gordon Abekah-Nkrumah et al. The MDGs came about largely through a top-down approach. The goals were largely determined by OECD countries and international donor agencies. However, the SDGs came about through extensive consultations. Civil society organizations, citizens, scientists, academics, and the private sector were all consulted in the process of formulating the SDGs. According to Coonrod (2014), the MDGs’ targets were aimed at accomplishing at least half the targets. However, the SDGs aim at fully accomplishing the goals, thus setting zero-based goals (reaching the statistical zero on the targets like poverty, hunger, and child and maternal mortality). Thus, more focus is placed on reaching all players involved in reaching the goals. In addition, while the MDGs addressed each of the goals in isolation, the SDGs employ a more integrative approach. All the 17 SDGs are interconnected, so success in one would lead to success in the others (Boucher, 2015). The SDGs brought together all three aspects of sustainable development – that is, economic, social, and environmental – in a more integrative manner. In terms of funding, the MDGs envisaged a substantial role for international aid. Goal eight of the MDGs included targets for substantial amounts of offcial development assistance (ODA) from developed to developing countries. The onset of the 2008–2009 global fnancial crises and the economic crisis that followed led to sharp falls in ODA, and this may have played a role in the inability to achieve a number of the goals and targets. The SDGs take a slightly different approach, by focusing on sustainable and inclusive economic development that emphasizes self-revenue-generating capacities (Coonrod, 2014). TABLE 12.2 Differences between SDGs and MDGs MDGs SDGs 1 The MDGs are made up of eight 1 The SDGs include 17 goals, 169 targets, and 304 indicators to measure compliance. goals, 21 targets, and 63 indicators. 2 The SDGs came about through extensive 2 The MDGs came about largely worldwide grass root consultation through a top-down approach. 3 The MDGs targets were such that 3 The SDGs aim at full accomplishment, thus setting zero-based goals (reaching the accomplishing at least half the statistical zero on the targets like poverty, targets was acceptable. hunger, and child and maternal mortality). 4 The SDGs employ a more integrative 4 The MDGs addressed each of approach (all the 17 SDGs are interconnected, the goals in isolation. thus success in one would lead to success in others). 5 The SDGs cuts across every single country in 5 The MDGs’ main focus was on the world, emphasizing that no one should developed countries’ granting be left behind. Thus, it looks at poverty aid to developing countries eradication in every country in the world. through ODA. 6 In the MDGs, hunger and poverty 6 The SDGs address this shortcoming by treating hunger and poverty as separate were lumped together, making issues. it look like solving one would automatically solve the other. 7 With the SDGs, sustainable and inclusive 7 The MDGs were anticipated economic development was put at the forefront to be funded by aid from of the goals so that countries could improve developed countries, but that their self-revenue-generating capacities. proved a challenge. Chapter 12 • Financing sustainable development 325 In sum, the SDGs are universal zero goals, aimed at achieving the unmet MDGs and more. The processes that led to the fnalization of the SDGs were more consultative and inclusive, involving broad consultations with a cross-section of civil society and grassroots organizations. This resulted in a more broad-based set of goals and targets. One important aspect in which the MDGs differ from the SDGs is that in terms of funding, the former placed greater emphasis on aid from advanced countries to developing economies, while the latter makes no such explicit expectation of donor funding but emphasizes inclusive growth through improving revenue-generating capacities to ensure sustainability. 12.3 CHALLENGES OF FINANCING SUSTAINABLE DEVELOPMENT The Rio de Janerio conference highlighted a wide range of interlinked challenges that call for priority attention. These challenges include decent jobs, energy, sustainable cities, food security and sustainable agriculture, clean water, clean oceans, and disaster readiness. Among these challenges, the Department of Economic and Social Affairs (DESA, 2013) under the United Nations, conducted a survey on the challenges of sustainable developments and highlighted four of these areas: 1 2 3 4 Sustainable cities. Food security, nutrition, and sustainable agriculture. Energy sustainability. Decent jobs. 12.3.1 Sustainable cities The world’s urban population continues to grow partly because of new opportunities that urbanization presents to millions of people who live in urban communities. This has contributed partly to the eradication of extreme poverty among rural and urban people. Despite the immense contributions (e.g. access to safe drinking water, jobs, health) that urbanization brings to people, it has also contributed greatly to the world’s urban problems, such as increased pressure on existing resources and increased demand for essential goods such as energy, water, sanitation, public services, education, and healthcare (Polèse, 2009; Satterthwaite, 1992). More than half of the world’s population have lived in urban areas since 2007, and it is estimated that this proportion will reach 70% by 2050 and will account for 80% of those living in the developing world, especially cities in Africa and Asia. For instance, 1.3 billion people were added to small cities in the world for the period 1950–2010, which has been estimated to be more than double the 632 million people who were added to medium cities or the 570 million added to large cities (DESA, 2013). The rise in population growth calls for urgent policy initiatives, especially for developing countries, to help address this challenge within the next 15–20 years. Most developing countries will need additional resources to be able to contain the rapid urbanization that they are experiencing now. The rapid mobility of people from the rural areas to seek better opportunities in 326 Gordon Abekah-Nkrumah et al. urban cities, especially in developing countries, is increasingly becoming a serious issue of concern. Most of these movements contribute to slums, pressure on energy resources, public transport, education, healthcare, water and heavy sanitation challenges, and more recently climate change problems, which put serious pressure on the adaptive capacity of the poor in urban areas. Financing cities requires taking a multifaceted approach that involves a mixture of several fnancing mechanisms. This concerns raising money from capital markets, such as issuing municipal bonds, bank bonds (without central government support), green bonds, and offcial development assistance. In this regard, local, and national authorities need a close partnership in order to raise sustainable fnance for the development of their cities. Cities in most developed countries have the capacity to raise municipal bonds directly from the capital market and loans from banks, unlike poor countries, where these mechanisms are limited. Poor countries need international support and resources to be able to support green technology adaptation and capacity development. They also need both technical and fnancial support to provide effcient public transportation, housing, water and sanitation, electricity, healthcare, and education. Investments in infrastructure require upfront fnance, the beneft of which will only be reaped in the medium to long term. Rich cities need to enact policies that encourage renewable energy and reduce ineffciency and wasteful consumption. To achieve this, regulatory strategies must be put in place to support the determination of the pricing structures, taxes, and subsides for both household and industries for development. 12.3.2 Food security and nutrition A strong and healthy workforce is needed to drive the socioeconomic progress of the world, more particularly progress in poorer nations. Nutritious food is needed to ensure that people are healthy and work towards their development. It is against this background that governments of developing countries see it as a major priority to fnance food security and nutrition, since developing countries are mostly affected by food insecurity. Since 1970, about one billion people in the world have been affected by basic food insecurity (DESA, 2013). However, there has been an improvement among people who are undernourished. The proportion of people who were under nourished in 1990–1992 were 20%, and this has declined to 15% in 2008–2010. Among those most affected with food insecurity were from sub-Saharan Africa and South Asia. This negatively affected the region’s ability to meet the 2015 deadline for the MDGs. Additionally, there is low diversity in the available food and low quality in food. This makes the challenge of malnutrition even broader than the issue of hunger and undernourishment. In 2013, it was estimated that more than 2.8 million adults die each year as a result of obesity and overweight, partly because of the high consumption of calories by adults in both developing and developed countries (DESA, 2013). Chapter 12 • Financing sustainable development 327 It is also estimated that food production will have to increase by 70% globally in order to feed an additional 2.3 billion people by 2050. To meet this target, investment in agriculture needs to increase in order to boost livestock and diary production, cereals, and fruits and vegetables, among others. This will put a lot of pressure on land, water, and biodiversity resources. Additionally, resource constraints pose a signifcant challenge to meeting the ever-increasing demand for food. Currently, greenhouse gas emissions arising from agricultural practices are reducing soil fertility and leading to water pollution. There is also the problem of climate change arising from the volatility of weather patterns, thereby affecting crop yields and income levels from agricultural produce. Economically, disadvantaged people are mostly affected as a result of an increase in land used for biofuels. This constrains the supply of food products, which can lead to price hikes. In addition, demand for land for housing as a result of urbanization accelerates the diversion of land meant for agricultural purposes to urban use. To address this challenge, there is the need to enhance social safety net policies targeted at rural development, and strategic development plans need to reach out to disadvantaged and marginalized households. These social safety nets will empower the most vulnerable against short-term economic shocks and enhance long-term resilience through the facilitation of smallholders’ access to food, help them manage risk, and adopt new technologies to increase food production. Finally, food waste is a serious challenge. It is estimated that, globally, 32% of food produced is wasted. We can have a sustainable food system only if we are able to reduce food waste. This implies the need for a strong policy framework to help address food waste if we intend to improve food security. 12.3.3 Energy transformation Energy transformation should be a core element of the sustainable development goals in order to improve living standards. To ensure that the environment is clean, there has been a global move to focus more attention on renewable energy rather than on fossil fuels, which tends to pollute the environment. Recent estimates confrm that emission trends will lead to temperature increases with potential catastrophic consequences. Researchers have argued that even if more emission- mitigating policies were implemented, including expansion in the use of renewable energy sources and improvement in energy effciency, a stabilization of greenhouse gas emissions at 450 parts per million (ppm) will not be achieved by 2050. The OECD (2012c) projected that emission concentrations might reach between 650 and 700 ppm of carbon dioxide equivalent (CO2e) by 2050 and between 800 and 1,300 ppm of CO2e by 2100. This will lead to an increase in the global average temperature of 2°C–3°C by 2050 and 3.7°C–5.6°C by 2100. Due to this increase, multiple pathways towards sustainable energy have been identifed. The world can follow a large number of energy pathways towards sustainable development, which require ambitious policies, improved international cooperation, improved implementation, 328 Gordon Abekah-Nkrumah et al. behavioural changes, and unprecedented levels of investment. The scenario results indicate that, in the absence of additional targeted pro-poor energy policies, by 2030, some 2.4 billion people will still rely on solid fuels for cooking. The implementation of highly ambitious policies in order to address the energy–poverty nexus has the potential to ensure access to modern energy for an additional 1.9 billion people. There is the need for good fnancing vehicles to be put in place to cover the upfront costs of enabling access to modern energy and purchase of appliances with a 50% fuel subsidy in relation to market prices. With this effort, there are still over 500 million people without access to modern energy in which most of these people are found in rural Africa and remote areas. This means that there is the need for concerted efforts from national, bilateral, and multilateral sources to fnance clean and affordable energy for all. 12.3.4 Decent jobs Unemployment is a serious threat to global peace. Globally, the world’s population consists of a signifcant share of young people, and the lack of decent jobs for them can be challenging. Currently, there are over 1.2 billion young people in the world and the majority of them are found in developing countries. The share of the working population in developing countries is beginning to rise as a result of a lower fertility rate and increased longevity. As the working population is rising, developing countries, for instance, need to put in place proactive measures to create decent and productive jobs for the growing population. According to the International Labour Organization (ILO) statistics, there are about 74 million unemployed youth in the world and some who are even underemployed. Most young people living in developing countries are often underemployed or work in the informal sector. According to the ILO, in several low-income and middle-income countries, nearly half of youth in developing countries are not achieving their full economic potential, which is a further hindrance to development in those countries. The ILO not only considered standard labour market indicators in its analysis but went further to include issues such as irregular employment and underutilization, job quality and satisfaction, and the transition of young people into the labour market. These are the conditions that force the majority of the youth in developing countries out of their homes. This means developing countries need to explore all options available to create decent jobs. This can be done through a balanced policy agenda: upgrading skills for better employment, an increase in productive investment, and increased access to fnance. With respect to upgrading skills, the right training and educational investments need to be undertaken, and this can help youth match their skills with the requirements of the job market. Strong relationships between academia and industry can be explored to improve skills acquisition by students. Finally, developing countries need to deploy macroeconomic and growth-inducing policies that encourage economic diversifcations and development of the various sectors of the economy for the purposes of job creation. Also, Chapter 12 • Financing sustainable development 329 governments should provide a window of opportunity for youth by providing and guaranteeing loan facilities for young people who have better business ideas to boost entrepreneurship. 12.3.5 Other fnancing challenges In spite of the key challenges identifed and the progress made so far, enormous challenges still remain in terms of raising the necessary funds from identifed sources and other innovative sources to fnance sustainable development. Some of these challenges include tax systems, weak fnancial systems, confict between proft and sustainable development, lifestyles, and human attitudes. Developing countries are those most affected by unsustainable development practices. They are generally said to have weak tax systems, and even those with relatively strong tax laws do not have the capacity to enforce them. As a result, tax contributes a small portion of total revenues relative to developed countries. For instance, tax revenue in developing countries on average makes up only 17% of GDP, compared to more than 30% in developed countries. This heavily undermines the ability of countries to raise the necessary domestic revenue to meet the fnancing needs of sustainable development. Corruption has a negative and adverse effect on revenue mobilization. This is due to poor fnancial management. Generally, developing countries have weak fnancial management systems, and this situation allows for seepages. Therefore, funds that should go into fnancing sustainable development end up in private pockets. Similarly, procurement systems are also weak, and this makes for a safe haven for the siphoning of public resources for private gain. Unless these gaps are sealed, developing countries will continue to rely on the insuffcient external and private funding to meet their nationally framed SDGs and other developmental projects. To meet the fnancing needs of the sustainable development goals, governments will have to optimize the use of funds from all sources, including public, private, and international. At the domestic level, however, the inherent confict between public fnance and private fnance affects the ability of governments to leverage private capital for sustainable development. While private fnance gravitates towards proft with a focus on risk and return, public fnance is concerned with the provision of public goods and investments with a long-term horizon. The capacity to reconcile private interest with public appeal is lacking in developing countries. Therefore, the potential of private fnance for public interest in many developing countries remains untapped. And many developing countries may not be able to maximize the synergies of different sources of fnance to meet the demands of sustainable development. Unsustainable consumption and production patterns are rapidly undermining the ability of countries to raise the needed fnancing to meet the targets set by SDGs. The effort to mobilize resources must be complemented by sustainable lifestyles, especially in the developed world. As long as the problem keeps escalating, resources will never be adequate to address them. It will be like ‘fetching water with a basket’: for every dollar made, a 330 Gordon Abekah-Nkrumah et al. dollar or half a dollar in fresh damage is caused. In developed countries, the per capita greenhouse gas emissions are 20 to 40 times greater than what is needed to stabilize the atmospheric greenhouse gas concentration (IFC, 2015). This unsustainable lifestyle, which evolved in the developed world, is increasingly being emulated by high-income households in the developing world. There is the need to have comprehensive regulation that discourages unsustainable lifestyles that threaten to reverse any progress made on the SDGs. 12.4 BENEFITS OF FINANCING SUSTAINABLE DEVELOPMENT Sustainable development fnance comes with many benefts to nations and the world as a whole. In this section, we discuss a number of benefts of fnancing sustainable development. Synergy in fnancing sources helps with raising funds from multiple sources in both developing and developed countries. Funds for sustainable development are raised from many sources, including private, government, and international bodies. Investments in renewable energy, biodiversity and the ecosystem, green bonds, and education and health have increased astronomically over the years. For instance, the Frankfurt School-UNEP (2018) report noted that investment in renewable energy has continued to increase each year since 2004; the world has invested USD2.9 trillion in green energy sources; and the investment was largely driven by developing countries. Again, the funding sources used for these areas had backward and forward linkages for other sectors of the economy. Well-fnanced sustainable development through funds generated for a green economy helps to reduce greenhouse gas emissions. The best way to address climate change is to drastically reduce greenhouse gas emissions such as methane and carbon dioxide. Money that is charged through a carbon tax and issuances of green bonds can be used to fnance the reduction in greenhouse gas emissions. Another beneft of synergy in fnancing sources is economic growth. Sustainable development supports current and future generations, so mechanisms put in place to fnance it must be driven by growth. Investing in sustainable cities helps to improve the infrastructure of those cities, which in turn improves the economic activities of those countries and facilitates economic growth. Additionally, renewable energy investment is a sure way to provide clean energy sources for industrial and economic growth. When energy is made clean and reliable and when factories are able to have a constant supply of energy, output increases. Financing sustainable development will help to improve the employment fortunes of Africa’s youth and women. In addition, 80% of employment in Africa is driven by the natural resource–based sectors, such as agriculture, mineral resources, forestry, and fsheries. Similarly, the tourism industry in Africa employs over 6.3 million people, and this sector also relies primarily on the continent’s natural and cultural wealth (World Travel & Tourism Council, 2009). All these sectors need support in enhancing the Chapter 12 • Financing sustainable development 331 green economy, which will create sustainable jobs and improve people’s livelihood. Therefore, sustainable development fnancing from private and public sources can help to create much-needed jobs. Another beneft of fnancing sustainable development is to ensure that there is food security for all. Financing food security to reduce postharvest losses will help to reduce the over 33%–35% malnourished population in Africa. Funding issues of environmental degradation, poor soil and water management will rapidly improve crop yield of farmers and help to make quality food available. Also, forest conservation through fnancing to replace falling trees and controlling illegal logging and overgrazing will help to make food growth in those areas more secure for human consumption. This means that climate change fnancing is important for the African continent. 12.5 SOURCES OF FINANCING SUSTAINABLE DEVELOPMENT In this section, we discuss the various sources available for fnancing sustainable development. Here, we focus on environmental fnance, private sector fnance, and innovative sources of fnancing sustainable development. These fnancing mechanisms are important in addressing the challenges raised in section 12.3. 12.5.1 Environmental fnance The environment is an important dimension when it comes to addressing the sustainable development goals. Thus, environmental fnance is critical for the success of the SDGs. Some of the environmental issues are climate change, biodiversity and the ecosystem, and renewable energy. The sources of fnance required to address these environmental issues are important. Environmental fnance is concerned with the impact of environmental issues on fnancing decisions. There are a number of ways that the environment can be fnanced. These include climate fnance, fnance for biodiversity and the ecosystem, renewable energy fnance, and green fnance. We discuss them in turn. Climate change is one of the key issues to be considered when it comes to meeting the sustainable development goals. This is because anthropogenic climate change presents an unprecedented challenge to the well-being of humans and threatens economic growth in both rich countries and poor countries. To tackle climate change problems, long-term private and public investments are required. Therefore, climate fnance covers a wide range of investment vehicles that are required to reduce excessive greenhouse gas emissions. To this end, there is a clear difference between development fnance and climate fnance. While development fnance provides resources for global public goods and public investments that cannot be fnanced by the poorest countries, climate fnance focuses mainly on greenhouse gas emissions. Progress has been made regarding 12.5.1.1 CLIMATE FINANCE 332 Gordon Abekah-Nkrumah et al. donor partners’ pledge for climate fnance. At the Copenhagen Conferences of Parties (COP) 15, the developed countries agreed to commit USD30 billion as a fast start programme for 2010–2012 and committed to provide USD100 billion annually by 2020 to fnance climate change mitigation. Schmidt-Traub and Sachs (2015) argued that to properly fnance climate change mitigation, investment in the following areas is required: • Infrastructure – low-carbon energy and transmission, effcient buildings, low-carbon industrial plants, sea walls to protect against rising sea levels, climate-resilient cities, and water management infrastructure. • Agriculture – low-carbon agriculture and animal husbandry, droughtresistant farming practices and infrastructure, improved water management infrastructure, soil-erosion control, climate-resilient livestock management practices, and improved food storage facilities. • Biodiversity and ecosystem services – improved monitoring systems, reduced deforestation, and integrated water resource management. • Research, development, demonstration, and deployment (RDD&D) – providing climate-resilient technologies for energy, agriculture, water management, and healthcare; providing cutting-edged research to identify new ideas in energy technology, water resource management, agriculture and health, particularly for Africa. On such investment, the success story of Woodlot management in Tanzania can provide great lessons. See Box 12.2 for the story. BOX 12.2 African success stories: Woodlot management for climate change adaptation in Tanzania In the Makete District of the United Republic of Tanzania, forest, woodland, and grassland resources are essential to the local economies. They also play a crucial role in protecting the watersheds that are vital for the conservation of the environment for agriculture and livestock production. Tanzanian authorities and local communities, working together and sustained by international support, have improved smallholder livelihoods through woodlots management practices as a strategy for climate change adaptation while creating a new stream of income for local communities and revenues for the city. Following an assessment of smallholder woodlot management practices and the marketing of timber, user groups were assisted in developing their own woodlot operational plans and harvesting rules, in setting rates and prices for products, and in determining how surplus income would be distributed or spent. This produced signifcant improvements in the conservation of woodlots in area and density and helped enhance soil and water management. This improved knowledge has allowed producers to increase their incomes, and it has enabled the Makete District government to achieve a 64% increase in council revenue for 2009/2010, following the Chapter 12 • Financing sustainable development 333 collection of royalties from timber sales. The creation of new sources of income triggered the setting up of community savings and credit societies that provide fnancial credits to low-income earners, using their woodlots as sources of collateral. This has promoted inclusive growth, enhanced the number of savings and credit operations among members, and enabled the provision of loans to fnance income-generating activities. What is more, the concrete evidence of these benefts has increased the national government’s interest in expanding climatechange-adaptation measures that improve rural livelihoods and the economy as a whole. Source: UNEP/UNDP Climate Change Adaptation and Development Initiative (CC DARE) – ccdare.org and United Nation (2012) Biodiversity and its associated ecosystem provide a wide range of services to society that underpin human health, well-being, and economic growth. The OECD (2013) projected a 10% loss in biodiversity by 2050. The OECD (2013) identifed six innovative fnancing mechanisms capable of mitigating these losses: 12.5.1.2 BIODIVERSITY AND ECOSYSTEM FINANCING • Environmental fscal reforms involve shifting the tax burden from a desirable economic activity onto activities that entail negative environmental externalities. They involve taxation that can broaden fscal revenue while working towards meeting environmental goals. These include taxes charged on natural resources, pollution, and rents that are harmful to the environment. Some of the taxes recently charged include taxes on pesticides, fertilizers, and other sources of emissions (such as NOX, SO2, and CO2 emissions); natural resource extraction; wastewater discharges; and entrance fees to natural parks. • Payments for ecosystem services (PESs) are voluntary programmes that provide incentives to enhance the provision of ecosystem services. PESs provide compensations for individuals and communities whose land use or other resource management decisions infuence the provision of ecosystem services for the additional cost of providing these services. Globally, more than three hundred programmes have been implemented on PESs. Out of this number, about fve PES programmes channel more than USD6 billion per annum. • Biodiversity offsets are instruments designed to allow for the continuation of project development that is found in an overall objective of no net loss of biodiversity. This is done in order to offset or compensate for signifcant adverse effects arising from biodiversity impacts from projects that have been undertaken. This is expected to be carried out at the fnal stage of environmental impact mitigation. • Markets for green products are fnancing sources developed for the sustainable use of biodiversity and the ecosystem (ecotourism and bio-trade). This means that goods have to be produced in a way that 334 Gordon Abekah-Nkrumah et al. has a low impact on biodiversity – for instance, timber produced from reduced-impact logging and goods, whose environmental impact is low as a result of reduced pollution load (biodegradable). The idea is that some consumers may decide to buy and even pay premiums to companies that have green products, and this will push such companies and many others to adopt sustainable production methods. In recent times, markets for such products have witnessed considerable growth. • Biodiversity in climate change funding emphasizes how to leverage biodiversity benefts, with huge amounts of funding fowing to climate change mitigation and adaptation. Policymakers can harness mechanisms for reducing emission for deforestation and degradation as well as ecosystem-based adaptations. • Biodiversity in international development fnance provides policymakers with the opportunity to harness synergies and better mainstream biodiversity in broader development objectives. When policymakers are able to brainstorm and provide quality solutions to improve fnance for biodiversity management and conservation, it will contribute more broadly to SDGs, which are crucial to reducing poverty and protecting rural livelihoods. Renewable energy is energy derived from resources that are continually replenished, such as wind, solar energy, and tides. Renewable energy fnance is capital intensive and thus risky for many investors to venture into its production and supply. Because electricity is not generated and stored, its production must be matched by corresponding demand. Most countries or electricity generators use renewable energy sources only in periods of peak demand. Globally, countries are moving from subsidy regimes in both fossil fuels and renewable energy to auctions where the market is allowed to interact with supply and demand forces. Also, corporate bodies wishing to buy green electricity have various options, including installing photovoltaic (PV) panels on their warehouses roofs or in some countries buying renewable energy certifcates, thereby boosting revenues for clean energy plants. According to Frankfurt SchoolUNEP Centre (2017, pp. 33–41), a number of fnancing options are available for renewable energy: 12.5.1.3 RENEWAL ENERGY FINANCE • Utility-scale renewable power projects are usually fnanced either on balance sheet by a utility, energy company, or large developer or with a mixture of equity and debt provided directly to the project itself. • Institutional investors have become key sources of equity fnance for projects, particularly in recent times, such as by using direct investment by institution in project equity and indirect investment through a pooled vehicle such as a yieldco. For instance, the direct investment institutions such as pension funds and insurance companies have invested an estimated of USD2.8 billion in European renewable energy projects in 2016. Africa and other developing countries provide huge opportunities for renewable energy investment since the population is Chapter 12 • Financing sustainable development 335 expanding and many more people are drifting towards lower-middleincome status. Investors in renewable energy should take advantage of this development and invest in developing countries. A success story of energy feed-in tariffs in Kenya is illustrated in Box 12.3. This is another story of the energy investment potential in Africa. • Debt consists of the majority of the capital required for renewable energy projects that are funded through project fnance. In developed markets, the project debt level is about 75% to 80% of the cost of an onshore wind installation, and the remainder is through equity fnance. Similarly, a solar project may meet the same debt proportion, while biomass and offshore wind projects will typically get less (i.e. 65% to 70% debt) because of the higher perceived risk. BOX 12.3 African success stories Renewable energy feed-in tariffs in Kenya Kenya adopted a renewable energy feed-in tariff (REFIT) in 2008, a policy it revised in January 2010. The REFIT aims to stimulate market penetration for renewable energy technologies by making it mandatory for energy companies or utilities to purchase electricity from renewable energy sources at a predetermined price. This price is set at a level high enough to stimulate new investment in the renewable sector. This in turn ensures that those who produce electricity from renewable energy sources have a guaranteed market and an attractive return on investment. Aspects of a REFIT include access to the grid, long-term power purchase agreements, and a set price per kilowatt-hour (kWh). Kenya REFIT covers electricity generated from wind, biomass, small hydro, geothermal, solar, and biogas, with a total electricity generation capacity of 1,300 MW. This policy has the following advantages: 1 It ensures environmental integrity, including the reduction of greenhouse gas emissions. 2 It enhances energy supply security, reducing the country’s dependence on imported fuels and helping it cope with the global scarcity of fossil fuels and its attendant price volatility. 3 It improves economic competitiveness and creates jobs. As Kenya’s greatest renewable energy potential is in rural areas, the effects of the feed-in tariff policy are expected to trickle down and stimulate rural employment. Additional investments could be attracted towards renewable energy in Kenya if the feed-in tariff policy in Kenya acquired a more solid legal status (AFREPEN/WP, 2009). For more information, visit www.unep.org/greeneconomy/ SuccessStories/FeedintariffsinKenya/tabid/29864/Default.aspx. 336 Gordon Abekah-Nkrumah et al. Loans for solar water heaters in Tunisia The solar water heater market in Tunisia showed a dramatic increase when low interest loans were made available to householders, with repayments collected through regular utility bills. This reduced the risk for local banks while showing borrowers the impact of solar heating on their electricity bills. Prosol – a joint initiative of Tunisia National Agency for Energy Conservation, UNEP, and the Italian Ministry for the Environment, Land and Sea – has helped more than 105,000 Tunisian families get their hot water from the sun, based on loans of over USD60 million, a substantial leverage on Prosol’s initial USD2.5 million cost. Its success has led the Tunisian government to set an ambitious target of 750,000 m2 of solar panels for 2010–2014, a goal that represented solar coverage comparable to that in Spain or Italy, countries with populations several times larger than Tunisia’s. Many jobs have been created, as 42 suppliers and more than a thousand installation companies have sprung up to service the solar market. The tourism and industry sectors are also involved, with 47 hotels engaged as of late 2009, and there are plans to encourage the industry sector to make greater use of the sun’s energy. A project is underway to make photovoltaic energy available to a further ffteen thousand households through a similar loan and repayment scheme. For more information, visit www.unep.org/unite/30ways/ story.aspx?storyID=49. Source: United Nation (2012) 12.5.1.4 GREEN BONDS Green bonds are differentiated from regular bonds by their label, which signifes a commitment to use the fund exclusively to fnance projects, assets, or business activities (ICMA, 2015). Therefore, a green bond is a bond that is issued for fnancing green infrastructure and for green investments. According to the OECD (2017) and Inderst, Kaminker, and Stewart (2012), a green infrastructure system can be considered low carbon and climate resilient (LCR). The green bond market is rapidly growing, with an annual issuance of green bond tripled from USD11 billion in 2013 to reach USD36.6 billion as of 2014. According to the OECD (2017), green bonds are categorised into six distinct forms that can be issued by different entities: • Corporate bond – a ‘use of proceeds’ bond issued by a corporate entity with recourse to the issuer in the case of default on interest payments or on return of principal. This category includes bonds issued by ‘yieldco’ vehicles (an investment vehicle formed by a parent company to own operating assets). They are known as synthetic Master limited partnerships (MLPs). Yieldco vehicles pay corporate-level taxes, unlike MLPs, which get a tax pass to fnance asset acquisitions. Chapter 12 • Financing sustainable development 337 • • • • • Yieldco vehicles are often issued in the energy sector to raise more funds to fnance renewable energy activities. Project bond – a bond backed by single project or multiple projects for which the investor has direct exposure to the risk of the project, with or without recourse to the bond issuer. Asset-backed security (ABS) – a bond collateralised by one or more specifc projects, usually providing recourse only to the assets, except in the case of covered bonds (included in this category). For covered bonds, the primary recourse is to the issuing entity, with secondary recourse to an underlying cover pool of assets, in the event that the issuer defaults. Supranational, subsovereign, and agency (SSA) bond – a bond issued by international fnancial institutions (IFIs) such as the World Bank or the European Investment Bank (i.e. ‘supranational issuers’). SSA bonds have features similar to a corporate bond relating to ‘use of proceeds’ and recourse to the issuer. Agency bonds are included in this category (e.g. issuance by export-import banks), as are subsovereign national development banks (e.g. the German KfW). Municipal bond – a bond issued by a municipal government, region, or city. A national government entity could theoretically also issue a ‘sovereign’ bond; no green sovereign bonds have been issued to date. Financial sector bond – a type of corporate bond issued by a fnancial institution specifcally to raise capital to fnance on-balance sheet lending (i.e. to provide loans) for green activities (e.g. ABN AMRO or Agricultural Bank of China). 12.5.2 Private sector fnance Private sector fnance is the type of fnance obtained from private sector sources of fnance. These fnancing sources are drawn and used to fnance development projects, and they include responsible private fnance and blended fnance. PRIVATE FINANCE The essence of responsible fnance is to outline standards to ensure that lending and investments actively deliver positive development outcomes. In a responsible fnance, there are three key primary actors that work together to ensure that responsible fnance is achieved in any economy. These include the government, which provides consumer protection and regulation; fnancial intermediaries; and clients themselves, who need to possess a certain degree of fnancial literacy. The Great Recession of the 1930s and the recent global fnancial crises of 2008–2009 left lasting scars on the global fnancial system and have had protracted impacts on the poor across the world. Financial infows to developing countries are increasing, as are the outfows. This calls for urgent attention that needs the work of the government, fnancial intermediaries, and clients as a whole. For instance, fnancial infows from developing countries for responsible fnance include net FDI to developing countries, new loans to developing countries, developing countries migrant remittances, 12.5.2.1 RESPONSIBLE 338 Gordon Abekah-Nkrumah et al. and global ODA. Also, outfows include developing countries debt service, proft remittances on FDI, and illicit fnancial fows (Molina, 2011). Blended fnance is one of the complementary tools used by the International Finance Corporation (IFC) to create markets and foster development impact. According to the IFC (2017), ‘blended fnance refers to a fnancing package comprised of concessional funding provided by the development partners and commercial funding provided by IFC and co-investors’. These types of funding are provided for projects with a high-impact factor, especially to society, the environment, and the ecosystem. This is because such projects do not attract funding on a commercial basis, given that the returns from these projects are not commensurate with the level of risk. Since development projects need different funds at various stages of their completion, it is prudent to use blended fnance to avoid the risk of delay in fnancing the projects. The IFC uses a number of fnancial instruments for blended fnance. These include risk mitigations/ guarantees, concessional debt (senior and mezzanine), equity (direct investments and private equity), and performance-based incentives. The IFC (2017) had earmarked four priority areas for blended fnance, which follow: 12.5.2.2 BLENDED FINANCE • The Global Agriculture and Food Security Program (GAFSP) is a private sector window that targets countries with the highest rates of poverty and hunger. The essence of this programme is to provide support in the form of short-term and long-term loans, credit guarantees, and equity to support smallholder farmers and small and medium enterprises (SME) farmers so as to enhance productivity growth, create, and deepen links in the market space and increase the capacity and technical skills of these business owners. • Blended climate fnance includes investment in renewable energy, energy effciency, climate-smart agriculture, clean technology, and adaptation that would otherwise not be funded by the private sector. The private sector will view this kind of investment as too risky to venture into. The concessional fnancing vehicle paves the way for fnancing on complete commercial terms because the viability of these projects will make it a proftable venture for the private sector to engage in. • The Global SME Finance Facility supports SMEs that are women based. They include SMEs from fragile and confict areas, those in education and healthcare and companies that are located in the rural markets. IFC uses blended fnancing to increase access to fnance for marginalized businesses in the form of loan guaranteeing as well as deepening fnancial intermediation in those markets. • The IDA 18 IFC-MIGA Private Sector Window (IDA-PSW) is a new fnancing tool used for crowding in private sector investment in the lowest-income, post-confict, and fragile states that do not have a commercial solution or where no other IFC or MIGA tool can be used. For instance, an allocation of USD2.5 billion from World Bank support will enable private sectors working with IFC or MIGA to take risks at a level that is commensurate with returns to promote sustainability. A three-year pilot has been earmarked that started 1 July 2017 and goes Chapter 12 • Financing sustainable development 339 until July 2020. The aim is to increase private sector capital investments in large-scale infrastructure and public–private partnerships and across all sectors, such as manufacturing, education and health, SMEs, climate fnance, and technology. The fnancial instruments used include loans, equity, guarantees, and local currency solutions. 12.5.3 Innovative sources of fnance for sustainable development Apart from the various sources discussed, there are different innovative sources of fnancing sustainable development. These include international fnance facility, IMF special drawings rights, global lottery, and global taxes. International fnance facility (IFF) was frst proposed by the Her Majesty’s Treasury (HM Treasury), also referred to as the exchequer, in conjunction with the Department for International Development of the UK. IFF was designed to frontload aid to help MDGs. In this facility, bonds were issued to the global capital markets against the security of government guarantees in order to maintain future aid fows, which will be used to buy back the bonds over a long period of time. This idea was used by France and other European countries in 2006 to fnance immunization in the International Finance Facility for Immunization (IFFm). It was initiated to rapidly accelerate the availability and predictability of funds for immunization. The IFFIm sells bonds, offcially called the vaccine bonds, to raise funds on the capital markets for the GAVI Alliance, a public–private partnership, which works to save children’s lives and protect people’s health by increasing access to vaccination in developing countries. Box 12.4 describes the detailed information regarding how GAVI raises funds through the use of IFFIm. 12.5.3.1 INTERNATIONAL FINANCE FACILITY BOX 12.4 GAVI Vaccine Alliance IFFIm GAVI, the Vaccine Alliance, fnances vaccine programmes in low-income countries. In 2006, GAVI recognized that to reach high vaccine coverage levels as soon as possible, signifcantly more funds were needed than were available. In response, the British Department for International Development, the Gates Foundation, United Nations Children’s Fund, and the fnancial services industry created the independent charity, the International Finance Facility for Immunization (IFFIm). Between 2000 and 2015, two-thirds of GAVI’s funding (i.e. USD11.6 billion), came from donations by governments. Every fve years, governments pledged to donate a certain amount and then make regular payments to GAVI. IFFIm enables governments to make a legally binding long-term commitment to IFFIm – for example, an annual payment of USD20 million for 20 years, instead of donating directly to GAVI. Next, IFFIm creates bonds – that is, a type of long-term loan to the value of the total amount committed by governments (in this example, 340 Gordon Abekah-Nkrumah et al. USD400 million). International investors then buy these bonds, thus immediately providing IFFIm with USD400 million. GAVI will have access to these funds by applying to IFFIm. IFFIm pays back bondholders over time with the annual payments from the governments. The proposed beneft of IFFIm was to make the money from future donations available immediately, so that vaccine programmes could be scaled up to reach the goal of herd immunity earlier. However, there are two costs involved in this fnancing mechanism. First, the administration costs of IFFIm have been estimated at between 4.1% and 4.6% of the pledged amount over the 20-year duration of the current commitments. Between 2010 and 2014, these costs averaged USD115 million per year, the World Bank acting as treasury manager. The second cost is the payment of interest to bondholders, which is diffcult to calculate because it depends on currency and market conditions. Between 2006 and 2014, IFFIm has received in total USD6.5 billion of long-term commitments from ten donor governments and has raised USD5 billion for GAVI through selling bonds (the difference of USD1.5 billion is held by IFFIm to reduce fnancial risk). Thus, IFFIm has provided around a third of GAVI’s funding to date. GAVI also receives funding (USD1.5 billion) from the advanced market commitment, which was an agreement by GAVI donors to pay for the creation of a new pneumococcal vaccine. In the January 2015 pledging event to secure funds for GAVI for 2016–2020, GAVI requested USD1 billion to be committed through IFFIm. However, only USD252 million in new commitments were made by France and the Netherlands. In contrast, GAVI received all the USD7.5 billion that it had requested, through direct donations. The change in funding profle compared to the last round reduction of funds pledged through IFFIm has been described by credit ratings agencies as a result of the diminishing policy importance of IFFIm for the future fnancing of GAVI’s immunization programmes. Source: Crocker-Buque and Mounier-Jack (2016) 12.5.3.2 IMF SPECIAL DRAWING RIGHTS Special drawing rights (SDRs) are international reserve assets created by the IMF in 1969 to supplement its member countries’ offcial reserves. In other words, it is like a global currency maintained by the IMF. As of September 2017, 204.2 billion SDRs (equivalent to about USD291 billion) had been created and allocated to members (IMF, 2017). SDRs can be exchanged for freely usable currencies. The value of the SDR is based on a basket of fve major currencies: the US dollar, the euro, the Chinese renminbi (RMB), the Japanese yen, and the British pound sterling (IMF, 2017). The IMF borrows money at 0.05% from member countries and lends at 1.05% to member countries that need the funds. Since the IMF accumulates the funds through the interest payments, a special account can be created from this fund to support fnancing Chapter 12 • Financing sustainable development 341 sustainable development goals. Countries normally leverage on SDR for the purpose of export so that they can help their export partner countries’ currencies appreciate by buying a corresponding amount of SDR in their currency. This helps their exporters receive a good deal for their export commodities. The IMF can charge extra fees on this kind of arrangement to support sustainable development fnance. Additionally, developing countries are the countries that most suffer climate change problems. SDRs will serve as a lower cost reserve for them. The gain could be used to fnance sustainable development, because countries would not have to borrow from other countries or the international fnancial markets at a higher cost so as to shore up their reserves. Furthermore, developed countries could take the SDRs they receive and donate it to nongovernmental organization (NGO) programmes that support sustainable development and climate change– related activities (Herman, 2013). The development SDRs would be grants that the awarded NGOs would convert into hard currency at their national central bank, whose SDR holdings would thus increase at the expense of the hard currency paid to the NGOs (Soros, 2002, pp. 181–186). This is a corporation which designs and markets lottery and pari-mutual systems to government, lottery operators and parimutual operators worldwide. There are three categories of draw-based games. These are instant games, sports games (pari-mutual), and sports games (fxed odds). Huge revenues can be mobilized from lottery to sustainable development fnance. Also, the World Lottery Association (WLA, 2014) should vote on part of this revenue to fnance climate change and other biodiversity and ecosystem activities. We argue that if on an incremental basis, the lottery amount could continue to increase by approximately 4%, such a percentage should be charged for sustainable development fnance on the total lottery amount generated. 12.5.3.3 GLOBAL LOTTERY 12.5.3.4 GLOBAL TAXES Taxes are an important source of revenue generation for countries. In recent times, a number of innovative taxes have come on stream to help fnance government expenditure. In most developed countries, innovative taxes such as a currency transaction tax, a carbon tax, an international air transport tax, and an arms export tax serve as key sources of raising fnance (Kapoor, 2004; Brzoska, 2017). In scaling up fnancing mechanisms for fnancing sustainable development, developed countries need to allocate part of these funds to the developing world to help fnance sustainable development. 12.5.4 Financing health We here discuss mechanisms that are specifc to fnancing health. Both domestic and international sources of funds will play a crucial role in achieving the health-related SDGs. For a long time, the health systems of many developing countries relied on international sources of funds for supporting the delivery of health services. However, in many countries, domestic resources make a major contribution to the fnancing of healthcare. For example, data available from the World Development Indicators (WDI) suggest that domestic general 342 Gordon Abekah-Nkrumah et al. government health expenditure as a percentage of current health expenditure in low-income countries (LICs) was 19.61% in 2015, a reduction of 8.75% from the 2000 fgure of 28.36%. For the same period, domestic private health expenditure as a percentage of current health expenditure reduced by 8.22% from the 2000 fgure of 58.78% to 50.56% in 2015. This implies that domestic resources contributed 87.14% and 70.17% to total health expenditure in 2000 and 2015 respectively. The reality in LICs is not entirely different from that of lower-middle-income countries (LMICs). Data available from WDI equally indicate that the contribution of domestic resources (domestic general government health expenditure as a percentage of current health expenditure and domestic private health expenditure as a percentage of current health expenditure) to total health expenditure was 97.12% in 2000 and 96.42% in 2015. Domestic resources come from one revenue or a combination of general revenues, social health insurance (SHI) voluntary private health insurance (VPHI), community health insurance schemes (CHIS), and out of pocket payments (OOPP). The contributions of the various sources as a percentage of the total current health expenditure vary depending on the nature and income level of a particular country, as shown in Table 12.3. TABLE 12.3 Percentage contribution of different health fnancing sources to current health expenditure in 2015 Country SHI% VFM% Benin Burkina Faso Cabo Verde Central African Republic Côte d’Ivoire Ethiopia Ghana Kenya Nigeria Rwanda Bolivia Guatemala Honduras Egypt Morocco Kyrgyzstan Moldova Bangladesh India Indonesia Myanmar Mongolia Philippines Vietnam 2 – 19 – 1 – 9 4 1 3 28 16 12 5 11 6 40 – 3 14 – 19 14 22 53 47 26 77 79 55 45 61 74 42 31 66 55 70 56 54 51 82 75 68 76 43 68 50 VPHI% 5 3 1 1 9 – – 3 – – 3 4 5 1 1 – – 8 5 4 – – 13 1 OOPP% 40 36 19 40 36 52 36 54 72 26 26 56 49 62 53 48 46 72 65 65 74 39 54 43 Source: Data from the WHO National Health Account (NHA) for 2015 Note: SHI is short for social health insurance; VFM is short for voluntary fnancing mechanism Chapter 12 • Financing sustainable development 343 • General revenues generally come from taxes (income and proft taxes, value-added and sales taxes, taxes on imports, and taxes on profts from the sale of natural resources) that may either be direct or indirect and paid to the national treasury and disbursed through the budget system to provide social services such as health. The mix of taxes deployed in each country is a matter of choice and also based on the circumstance of each country. Also, the revenue-raising capacity of taxes is correlated with income levels and the structure of the economy. Thus, LMICs with relatively large informal sectors tend to raise less from taxes than do high-income countries (HICs) with a large formal sector. The contribution of tax revenue to total health expenditure depends on the contribution of taxes to aggregate income. The informal nature of the economy of developing countries implies relatively lower contribution of taxes to general government revenue and therefore allocation to the health sector. For example, data from WDI suggest that tax revenue as a percentage of GDP in LMICs was 12.03% in 2015 compared to 15.31% for HICs. • Social health insurance (SHI) is a fnancing mechanism that is based on a defned contribution (premium) for a specifed package of benefts for a specifed period. The uniqueness of social health insurance is the fact that enrolment and payment of premium constitute a social contract between the enrolee and the social health insurance organization, the terms of which are coded in law and therefore cannot be changed. As a result, SHI funds are mostly earmarked and therefore not mixed with general government revenue. Unlike private health insurance, SHI is often compulsory and administered by either the government or a government agency. An advantage of SHI is that it has a greater potential to provide effective risk coverage, in addition to the fact that the intended transparency can improve potential contributors’ willingness to contribute to the fund. The downside of SHI is that it may not cover the entire population, especially those outside of the formal sector and the fact that it may increase real labour cost, especially if employers treat the SHI premium as a labour cost. Given that SHI tends to be treated as some form of tax and collected using formal channels, the contribution of SHI to overall health spending tends to be related to the structure (formal versus informal) of the economy. Thus, the contribution of SHI to the health budget tends to be low in LICs (see Table 12.3). • Under a voluntary private health insurance (VPHI) scheme, individuals voluntarily buy a health insurance policy from private organizations that operate in a competitive market and at a price (premium) that refects the risk of the buyer rather than the ability of the buyer to pay. The advantage of VPHI is that it constitutes an additional to revenue generated either through general revenues or SHI. Major challenges associated with VPHI include the possibility of risk selection, higher cost of operation (leading to increased premiums), and the possibility that it will cover fewer people than SHI will. The size of VPHI in developing countries tends to be small given that VPHI premiums 344 Gordon Abekah-Nkrumah et al. tend to be high compared to average income levels in developing countries. The data in Table 12.3 confrm the relatively low levels of VPHI’s contribution to total health spending. • Community-based health insurance (CBHI) schemes are seen as alternatives that deal with the shortcomings of other fnancing mechanisms, such as VPHI and SHI, which have the tendency to focus on the higher cost but less frequent use of health services. CBHI schemes are normally operated and fnanced by community members who voluntarily make defned contributions for a package of health services (primary as well as higher-level care). Providers of health services within CBHI schemes are normally entities hired by the community or NGOs that are in the business of providing healthcare services. The advantage of the CBHI schemes is that the community control of the scheme can engender transparency and accountability and hence motivate community members to enrol in the scheme. The downside, however, is that the voluntarily nature may mean that fewer people enrol and may create viability and sustainability issues for such small risk pools. • Out of pocket payments (OOPPs) or user fees are direct payments made by individuals or groups using health services, which are not reimbursable. Out of pocket payment may range from offcial fees (payment for services, medications, deductibles, and copayments) to unoffcial payments for services that may not be available at the healthcare facility visited by the user. OOPPs normally constitute a large proportion of funds available for providing health services in LICs. The poor nature of health systems and health fnancing mechanisms in developing countries makes OOPPs a major option in many countries. According to Table 12.3, OOPPs tend to contribute a substantial proportion of the total current spending on health. Besides domestic resources, external sources of funds normally referred to as development assistance for health (DAH), though relatively small compared to domestic resources, still play a crucial role in the delivery of healthcare in developing countries. The levels of DAH to developing countries have evolved over the last two decades. Estimates from the Institute for Health Metrics and Evaluation (IHME) suggest that the period from 1990 to 2017 saw an increase in DAH from USD7,554 million in 1990 to USD37,421.62 million in 2017 in nominal terms. The estimates in Table 12.4 show trends in DAH over the last decade. • Bilateral agencies represent nation states and are used as channels to disburse external resources to recipient countries. Examples of such agencies include USAID, DFID, DANIDA, JICA, CIDA, GTZ, for the United States, United Kingdom, Denmark, Japan, Canada, and Germany respectively. The United States tends to be the biggest bilateral contributor to DAH. The estimates in Table 12.4 for bilateral agencies represents contributions from some 24 countries, including contributions from the European Union as an agency. Among the 24 countries, the United States is the largest contributor to DAH. The estimates 70.757 41.06 12.94 11.46 27.66 40.46 20.41 90.368 35.14 13.07 12.33 31.15 60.11 20.20 2009 11.666 28.93 13.73 13.05 34.45 80.26 10.57 2010 12.390 31.63 13.53 11.25 34.81 70.54 10.23 2011 12.866 30.76 11.88 14.67 36.23 50.37 10.09 2012 14.001 29.36 12.01 15.61 34.99 50.88 20.14 2013 13.322 30.61 12.96 13.21 36.73 30.71 20.77 2014 Note: *2017 fgures are preliminary estimates; PPPs is short for public–private partnerships Source: Constructed by authors from data from Micah, Dieleman, and Chang (2017) Financing Global Health database Total DAH (USD billions) Bilateral agencies (%) United Nations (%) PPPs (%) NGOs & foundations (%) World Bank (%) Regional dev. banks (%) 2008 12.782 26.35 15.46 14.95 35.71 40.59 20.94 2015 TABLE 12.4 Trends in DAH from 2008 to 2017 in billions USD and component contributions in percentages 12.416 30.06 13.57 14.25 35.10 40.42 20.60 2016 11.959 29.00 13.46 16.14 35.44 40.16 10.80 2017* Chapter 12 • Financing sustainable development 345 346 Gordon Abekah-Nkrumah et al. • • • • also suggest that the contribution of bilateral agencies to total DAH is declining but remains the largest proportion of DAH. Multilateral organizations have become channels through which countries transfer DAH. Although these agencies constitute channels for delivering DAH, in some instances they also play actives roles in the implementation of programmes and interventions. Examples of multilateral agencies include United Nations agencies such the World Health Organization (WHO), United Nations Children’s Fund (UNICEF), United Nations Population Fund (UNFPA), and World Food Programme (WFP). In 2012, UNICEF and UNFPA alone contributed around USD2.8 billion to DAH through the UN system. The estimates from Table 12.4 suggest that multilateral agencies make the third largest contribution to DAH after bilateral agencies, NGOs, and foundations. Public–private partnerships (PPPs) are contribution channels developed out of collaborations from private and public institutions and are thus referred to as public–private partnerships. Major institutions in this space are the Global Alliance for Vaccines and Immunization (GAVI) and the Global Fund for HIV/AIDS, Tuberculosis, and Malaria (GFATM). The contribution of these two organizations to total DAH has increased steadily from 11.46% in 2008 to 16.14 %in 2017. NGOs and foundations are international NGOs and foundations of private individuals and corporations such as the Bill and Melinda Gates Foundation and the Clinton Foundation. Within the past ten years, a major contributor in this space has been the Bill and Melinda Gates Foundation. The estimates in Table 12.4 suggest that contributions from NGOs and foundations are the second-largest contributors to total DAH, after those from bilateral agencies. World Bank and regional development banks also contribute to DAH. Regional development banks include the International Bank for Reconstruction and Development (IBRD) and the International Development Association (IDA) as well as other regional development banks such as the African Development Bank and the Asian Development Bank. Contributions from these banks come in the form of loans or grants to recipient governments, either for capacity or for infrastructure development. The World Bank and the other regional development banks make the least contribution to total DAH, as per estimates available for the past ten years. Unlike the other DAH channels, the contributions of the World Bank and the other development banks have been fuctuating. 12.6 CONCLUSION The MDGs constituted a concrete practical attempt to bring meaning to the United Nations charter, which in principle seeks to promote development in peace, on the basis of respect for human rights and the rule of law. The eight goals constituted an important frst step that galvanized the Chapter 12 • Financing sustainable development 347 nations of the world towards a common purpose and the belief that a good international formula/solution also has benefts. Clearly, a lot of progress was made in developing countries with respect to the attainment of the eight MDGs, especially in the areas of poverty and education in regions such as sub-Saharan Africa and Asia. Notwithstanding the progress made with the MDGs, it is equally the case that a lot of work needs to be done to ensure broad-based development, especially in areas such as maternal health, energy environment, transportation, urbanization, migration, agriculture, and industrialization. Thus, the SDGs, the successor of the MDGs, are a more broad-based, comprehensive, and ambitious attempt to move the wheels of development towards the vision of development in peace with respect for human rights and the rule of law. The realization of the SDGs will depend on the extent to which nation states, especially developing ones, are able to operationalize and refect actions aimed at achieving the goals in their respective development plans. This will require an inclusive and broad-based participatory approach involving strong leadership from government and the participation of knowledgeable citizens, civil society, academia, the private sector, and international partners that understand the goals and can advocate for and insist on practical actions to achieve them. Even more important is the issue of how to fnance the implementation of the SDGs. Traditionally, development fnancing has emphasized the use of ODA. However, current ODA levels (estimated to be USD135 billion per annum) are way below what is needed to fnance the SDGs. Besides, the current levels of ODA may even reduce due to budgetary constraints arising from contraction in the economies of those countries most likely to give ODA. There must therefore be a shift of emphasis from the reliance on ODA as a major source of fnancing development to public resources and private fnancing. It is indeed a challenge to advocate for additional public resources for development in countries such as those in SSA and South Asia, where budgets are fnanced mainly by ODA. However, for some developing countries, especially those in the middle-income bracket (lower-middle and upper-middle income), there are opportunities to improve domestic resource mobilization through the implementation of reforms that will improve the effectiveness of revenue mobilization systems and the effciency (allocative and technical) of resource use. At the revenue mobilization level, emphasis should be on reforms that will help to formalize the large informal sector and therefore help to identify such operators for the purposes of raising tax revenues from their operations. In many developing countries especially those in SSA and South Asia, a reliable and effective national identifcation and public system is important to move closer to formalizing the informal sector. Additionally, rapid innovations in mobile telephony could be a solution to formalizing transactions that take place in the informal economy. These measures could go a long way to broadening the tax net and thereby increasing domestic public resources available for development. In countries where the tax depth is low, there could be opportunities to increase the effective tax rate. This 348 Gordon Abekah-Nkrumah et al. option may, however, not be popular among policymakers, given that it may incur serious political costs, especially for the ruling coalition. On the issue of effciency, reforms that seek to tighten and close loopholes in public procurement and fnancial management and administration can reduce corrupt practices, and savings therefrom can be channelled into fnancing development. Besides public resources, the private sector can play a major role not only in the capital they can make available but also in the innovative solutions they can bring to the overall strategy for the implementation of the SDGs, as indicated in the Addis Ababa Action Agenda. The emphasis on private capital is even more important given that there are large pools of private capital in the developed world that hardly yield decent returns at a time when there is the need for capital for long-term investments in developing countries. The argument that has been made in the development discourse is that the excess supply of private capital in the developed world and the demand for this in developing countries create a unique opportunity for the fow of private capital to developing countries to fnance projects that will yield decent returns. The challenge, however, is that the level of risk in most of these developing countries is so high and may therefore constrain the fow of private capital. ODA can play a major role in this direction not just in providing development fnance but also in unlocking private capital by leveraging the risk that owners of private capital face in developing countries. Additionally, multilateral development banks, such as the World Bank, IMF, and regional development banks can develop new approaches that will help leverage risk in developing countries and thereby improve the capacity of developing countries to mobilize the needed resources for fnancing development. The success of both the implementation and fnancing of frameworks will depend on the level of inclusiveness and strong coordination and collaboration among governments, think thanks, academia, the scientifc community, civil society, the private sector, the United Nations, and MDBs. Discussion questions 1 Provide an overview of sustainable development, detailing the evolution of the concept of sustainable development. 2 Discuss the challenges that affect fnancing for sustainable development? In your opinion discuss the opportunities available to address these challenges? 3 There are a number of fnancing mechanisms available for sustainable development. What are some of these fnancing mechanisms? What are some of the weakness with these fnancing vehicles? 4 In which ways can these fnancing vehicles be used to address the challenges identifed? 5 What benefts do you think developing countries can derive from using innovative sources of fnancing for sustainable development? 6 Discuss the sources of fnancing health in developing countries. Chapter 12 • Financing sustainable development 349 References AFREPEN/WP. (2009, September). The role of feed-in tariff policy in renewable energy development in developing countries. Retrieved from https://agoraparl.org/node/8953 Boucher, L. (2015). Sustainable development goals vs. millennium development goals: What you need to know. Retrieved from https://populationeducation. org/sustainable-development-goalsvs-millenniumdevelopment-goalswhat-you-need-know/ Brundtland, G. H. (1985). World commission on environment and development. Environmental Policy and Law, 14(1), 26–30. Brundtland, G. H. (1987). Our common future. World Commission on Environment and Development (The Brundtland Report). Oxford: Oxford University Press. Brzoska, M. (2017). Core issues of an arms trade tax. Retrieved from www.sipri. org/sites/default/files/201709/participant_refection_arms_trade_tax.pf Coonrod, J. (2014, August 8). MDGs to SDGs: Top 10 differences. Retrieved from https://advocacy.thp.org/2014/ 08/08/mdgs-to-sdgs/ Crocker-Buque, T., & Mounier-Jack, S. (2016). The international fnance facility for immunisation: Stakeholders’ perspectives. Bulletin of the World Health Organization, 94(9), 687. DESA. (2013). Sustainable development challenges. World Economic and Society Survey. Retrieved from https:// sustainabledevelopment.un.org/content/documents/2843WESS2013.pdf Frankfurt School-UNEP Centre. (2017). Global trends in renewable energy investment. Retrieved from http://fsunepcentre.org/sites/default/fles/ publications/globaltrendsinrenewableenergyinvestment2017.pdf Frankfurt School-UNEP Centre. (2018). Global trends in renewable energy investment. Retrieved from www.google. com/search?client=safari&rls=en&q= global+trends+in+renewable+energy +investment+2018+report&ie=UTF-8 &oe=UTF-8 Herman, B. (2013). Half a century of proposals for ‘innovative’ development fnancing. New York: United Nations, Department of Economic and Social Affairs. ICMA. (2015, March). Green bond principles: Voluntary process guidelines for issuing green bonds. Retrieved from https://www.icmagroup.org/greensocial-and-sustainability-bonds/ green-bond-principles-gbp/ IFC. (2015). Blending donor funds for climate-smart investments. Retrieved from www.ifc.org/climatebusiness IFC. (2017). Blended fnance at international fnance corporation. Retrieved from www.ifc.org/wps/wcm/connect/4 5c23d804d9209fab2f8b748b49f4568/ Blended-fnance-Factsheet-May2017. pdf?MOD=AJPERES IMF. (2017). Special drawings right (SDR). Retrieved from www.imf.org/external/np/exr/facts/sdr.htm Inderst, G., Kaminker, C., & Stewart, F. (2012). Defning and measuring green investments: Implications for institutional investors’ asset allocations. OECD Working Papers on Finance, Insurance and Private Pensions No. 24. Paris: OECD Publishing. doi:10.1787/ 5k9312twnn44-en Kapoor, S. (2004). The currency transaction tax: Enhancing fnancial stability and fnancing development. Tobin Tax Network. Retrieved from https://www. stampoutpoverty.org/wf_library_ post/the-currency-transaction-taxenhancing-financial-stability-andfnancing-development/ Micah, A., Dieleman, J., & Chang, A. (2017). Financing global health 2017: Funding universal health coverage and unfnished HIV/AIDS agenda. Retrieved from www.healthdata.org/policy-report/ fnancing-global-health-2017 Molina, N. (2011). Responsible Finance Charter. https://slettgjelda.no/assets/ docs/Eurodad-Responsible-FinanceCharter-2011.pdf 350 Gordon Abekah-Nkrumah et al. National Development Planning Commission. (2015). Ghana millennium development goals 2015 report. Retrieved from https://www.gh.undp.org/ content/ghana/en/home/library/ poverty/2015-ghana-millenniumdevelopment-goals-report.html OECD. (2012c). The OECD Environmental Outlook to 2050. Key Findings on Climate Change. https:// www.oecd.org/env/cc/Outlook%20 to%202050_Climate%20Change%20 Chapter_HIGLIGHTS-FINA-8pagerUPDATED%20NOV2012.pdf OECD. (2013). Scaling-up fnance mechanisms for biodiversity. Retrieved from www.oecd.org/env/resources/OECD% 20Finance%20for%20Biodiversity% 20[f]%20[lr]%20WEB%20SM.pdf OECD. (2017). Green bonds; mobilising the debt capital markets for a lowcarbon transition. Policy Perspectives. Retrieved from www.oecd.org/environment/cc/Green%20bonds%20 PP%20[f3]%20[lr].pdf Polèse, M. (2009). The wealth and poverty of regions: Why cities matter. Chicago: The University of Chicago Press. Satterthwaite, D. (1992, October). Sustainable cities: Introduction. Environment and Urbanization, 4(2), 3–8. Schmidt-Traub, G., & Sachs, J. (2015). Financing sustainable development: Implementing the SDGs through effective investment strategies and partnerships. United Nations Sustainable Development Solutions Network (UNSDSN). Retrieved from http://unsdsn.org/ wp-content/uploads/2015/04/ 150619-SDSN-Financing-SustainableDevelopment-Paper-FINAL-02.pdf Shaker, R. R. (2015). The spatial distribution of development in Europe and its underlying sustainability correlations. Applied Geography, 63, 304–314. doi:10.1016/j.apgeog.2015.07.009 Soros, G. (2002). George Soros on globalization. New York: Public Affairs. Sustainable Development Goals. (n.d.). Retrieved June 18, 2018, from www. undp.org/content/undp/en/home/ sustainable-development-goals/ background.html United Nation. (2012). Green economy in the context of sustainable development and poverty eradication: What are the implications for Africa? Retrieved from https:// www.greengrowthknowledge.org/ sites/default/files/downloads/ resource/Green_Economy_What_Are_ The_Implications_For_Africa_UNEP_ UNECA.pdf UN News Centre. (2015, December 30). Sustainable development goals kick off with start of new year. Retrieved from www. un.org/sustainabledevelopment/ blog/2015/12/sustainable-development-goals-kick-off-with-start-of-newyear/ World Lottery Association. (2014). The WLA global lottery data compendium: An annual review of the lottery industry based on data from WLA members. Retrieved from http://eldiario.deljuego.com. ar/images/stories/Notas/00__2014/ WLA_Compendium_2014.pdf World Travel and Tourism Council. (2009). Travel and tourism economic impact, sub-Saharan Africa. London: Author. Online sources www.greengrowthknowledge.org/ sites/default/files/downloads/ resource/Green_Economy_What_ Are_The_Implications_For_Africa_ UNEP_UNECA.pdf www.oecd.org/env/cc/Outlook%20 to%202050_Climate%20Change%20 Chapter_HIGLIGHTS-FINA-8pagerUPDATED%20NOV2012.pdf www.sd-commission.org.uk/pages/ history_sd.html www.unep.org/greeneconomy/SuccessStories/FeedintariffsinKenya/ tabid/29864/Default.aspx www.unep.org/unite/30ways/story. aspx?storyID=49 CHAPTER 13 International trade, fnance, and development Steven Brakman and Charles van Marrewijk 13.1 INTRODUCTION When (developing) countries trade with other countries, they are confronted about fnancial interactions and forces that affect the way they do business and limit the possibilities and effectiveness of certain types of policies. The power of these fnancial forces is enormous. According to the Bank of International Settlements (BIS, 2019), the daily turnover on fnancial markets for all instruments on a net-net basis in April 2019 was USD6.6 trillion, which is equivalent to about 8% of the total world income in one year.1 In this chapter, we briefy discuss the main interactions, forces, limitations, and possibilities of trade with other countries. We start in section 13.2 by discussing the main aspects of exchange rates, the price of one currency in terms of another. In section 13.3, we emphasize the importance of forward-looking markets for understanding the power of fnancial forces. These aspects are combined in section 13.4, where we discuss covered and uncovered interest rate parity, which is crucial for understanding the possibilities and limitations of monetary policy, as explained in section 13.5. Using this theoretical basis, in section 13.6 we review the main policy choices made in recent history up to this day. Next, we turn our attention in section 13.7 to the practical issues of trade fnancing and trade fnancing gaps. Section 13.8 covers the practical issues of international (vehicle) currencies. We conclude in section 13.9 with a brief discussion of fnance, investment, and development and provide a summary in section 13.10. 13.2 EXCHANGE RATES In international trade fows, the exporters and importers at some point in time are confronted with exchange rates when they have to exchange goods or services valued in one currency in exchange for another currency. An exchange rate is a price, namely the price of one currency in terms of another currency. This price is determined simply by supply and demand in the foreign exchange market. As there are many countries with convertible currencies, there are many exchange rates, such as the exchange rate 352 Steven Brakman and Charles van Marrewijk of a Singapore dollar in terms of European euros or the exchange rate of a Japanese yen in terms of British pounds. Since the exchange rate is a price, a rise in the exchange rate indicates that the item being traded has become more expensive, just like any other price rise indicates. Therefore, if the exchange rate of a Singapore dollar in terms of European euros rises, this indicates that the Singapore dollar has become more expensive. Various specialized symbols have been introduced to identify specifc currencies, such as US$ to denote (US) dollars, € to denote European euros, £ to denote (British) pounds, and ¥ to denote Japanese yen or Chinese yuan. Table 13.1 lists some of these international currency symbols and the three-letter international standard (ISO) code to identify the currencies. As will be discussed later on, there are various types of exchange rates, but we frst focus on the spot exchange rate, the price of buying or selling a particular currency at this moment. Table 13.2 lists some spot exchange rates as recorded on 3 December 2019, at 11:55:00 a.m. (UTC + 01:00).2 The fact that we have to be so precise by listing not only the day on which the spot exchange rates were recorded but also the exact time and the time zone TABLE 13.1 Some international currency symbols Country Currency Symbol ISO code Australia Canada China EMU countries India Iran Japan Kuwait Mexico Saudi Arabia Singapore South Africa Switzerland United Kingdom United States dollar dollar yuan euro rupee rial yen dinar peso riyal dollar rand franc pound dollar A$ C$ ¥ € Rs RI ¥ KD Ps SR S$ R SF £ US$ AUD CAD CNY EUR INR IRR JPY KWD MXP SAR SGD ZAR CHF GBP USD Source: Van Marrewijk (2012), table 20.1 TABLE 13.2 Spot exchange rates on 3 December 2019 at 11:55:00 a.m. (UTC + 01:00) Price of Bid spot rate Ask spot rate Currency Country Spread % USD1 USD1 USD1 1.32993 0.98960 14.66009 1.33007 0.98976 14.66686 CAD CHF ZAR Canada Switzerland South Africa 0.0105 0.0162 0.0462 Source: www.oanda.com Chapter 13 • International trade 353 signals an important general property of exchange rates; they are extremely variable. The website from which the information was taken updates every fve seconds. Real-time transactions are updated even more frequently. This makes exchange rates rather special prices, as the variability in the quoted prices is much higher than for those for goods and services traded in the marketplace (such as the price of diapers at the supermarket), although generally of the same order of magnitude as many other prices in fnancial markets. Table 13.2 lists the exchange rate of the US dollar relative to three countries, namely Canada, Switzerland, and South Africa. There are actually two rates quoted: the bid rate – that is, the price at which banks are willing to buy USD1 (what they are bidding for USD