Pilot Project of Results Based Aid (RBA) in the Education Sector in Ethiopia Business Case October 2011 CONTENTS Intervention summary………………………………………………………3 Strategic Case………………………………………………………………5 Appraisal Case…………………………………………………………….13 Commercial Case………………………………………………………….30 Financial Case …………………………………………………………….32 Management Case ………………………………………………………. 35 Annexes Annex A: Logframe Annex B: Independent verification and evaluation Business Case Annex C: RBA model Annex D: RBA Economic Appraisal Spreadsheet Acronyms BC BoFED CGD CoDA CPAR CSC CTE DRS EC EMIS EPRDF ESDP ETP FPPA FRA GDP GEQIP GER GOE GoE GPOBA GTP HRITF MDG MIS MoE MoFED MoU NER NLA OFAG PBS PDP PEFA PFM PISA PTA QESSP RBA RBF REB TOC TVET VfM WOFED Woreda Business Case Bureau of Finance and Economic Development Centre for Global Development Cash on Delivery Aid Country Procurement Assessment Review Critical Success Criteria College of Teachers Education Developing Regional States European Commission Education Management Information System Ethiopian People’s Revolutionary Democratic Front Education Sector Development Plan Education and Training Policy Federal Public procurement Agency Fiduciary Risk Assessment Gross Domestic Product General Education Quality Improvement Program Gross Enrolment Ratio Government of Ethiopia Government of Ethiopia Global Partnership for Output Based Aid Growth and Transformation Plan Health Results Innovation Trust Fund Millennium Development Goal Management Information System Ministry of Education Ministry of Finance and Economic Development Memorandum of Understanding Net Enrolment Ratio National learning Assessment Office of Federal Auditor General Protection of Basic Services Peace and Development Program Public Expenditure and Financial Accountability Public Financial Management Program for International Student Assessment Parent Teacher Association Quality Education Strategic Support Programme Results Based Aid Results Based Financing Regional Education Bureau Theory of Change Technical, Vocational Education and Training Value for Money Woreda Office of Finance and Economic development An administration division of Ethiopia managed by local Government/ equivalent to District Intervention Summary Project title: Pilot Project of Results Based Aid (RBA) in the Education Sector in Ethiopia What support will the UK provide? The UK will provide up to £30 million over four years 2011/12 – 2014/15 depending on results achieved and a further £1.5 million to cover the costs of evaluation and independent results verification. Why is UK support required? The DFID Business Case includes a commitment to pilot RBA in at least three developing countries. This is one of those pilots. In this pilot, we are proposing to pay incentives to the Ministry of Education (MoE) in order to increase the number of students, especially girls and students in Developing Regional States (DRS)1, who sit and pass the national grade 10 examinations (the equivalent of lower secondary school). It is hypothesised that the additional results -based financing will act as an incentive to government to direct its efforts and resources on achieving additional results in a cost effective and efficient way (see Theory of Change). The pilot project will be implemented by MoE and will potentially use structures at federal, regional, woreda (district) and school levels. Funding through this project will be additional to DFID’s scaled up support to the education sector in Ethiopia through existing instruments - the General Education Quality Improvement Programme (GEQIP) and the Protection of Basic Services Grant (PBS) - but will complement these programmes. The Ministry of Education has expressed a desire to test RBA approaches at the highest levels, and results in the education sector lend themselves well to this approach. DFID is at the forefront of efforts to improve aid effectiveness in Ethiopia and is well-placed to drive this pilot forward. There are high levels of support from both the UK and Ethiopian governments to trying out this approach in the education sector. There are a range of RBA models, but the approach taken in the pilot builds on the work of the Centre for Global Development (CGD) and shares many features of their Cash on Delivery Aid (CoDA) modeli. A price per student who sits/passes the grade 10 examination over an agreed baseline will be established – with a premium paid for girls and students in the less stable peripheral regions - and payment made to the MoE once the results have been independently verified. The Ministry will be free to use this additional money in any way it sees fit to achieve the additional results. IN practise, the programmatic and policy response will be carefully monitored through an independent evaluation process and by a DFID adviser seconded to MoE. The project will focus on improving access to, and performance in, the grade 10 examinations, especially for girls and students in the DRS. This is because, despite impressive progress in expanding access to primary education over the past 10 years, access to lower secondary education remains extremely limited. There is robust international evidence to support the case for investing in girls’ secondary education because of its social and economic benefits, including lower fertility rates, delayed marriage and increased earning potentialii. This is why an 1 Developing Regional States also called the emerging regions are the four most underdeveloped regions of Ethiopia – Somali, Afar, Gambella, and Benishangul Gomuz additional premium will be paid for every girl who sits and passes the examination. An additional incentive will also be paid to MoE for progress in the four most under-developed regions in order to accelerate progress in these regions. In Ethiopia, there are no other donors working on an RBA2 approach, but there have been discussions with donors about their possible involvement in the future. The US and German governments have both expressed an interest in the pilot. The World Bank, who manage our multi-donor instruments, are interested in learning lessons from the pilot for some of the existing instruments, including GEQIP. The GoE itself has been exploring how to increase the results focus of its block grant financing to regions. What are the expected results? The overall impact of the project will be improved access to, and quality of, lower secondary schooling. This will be measured by the grade 9 and 10 gross enrolment rate and the percentage of girls and boys passing the grade 10 examination (see logframe at Annex A). The outcome will be an increase in grade 10 students sitting and passing the grade 10 examination, especially for girls and in emerging regions. The modelling predicts the following additional results incentivised by RBA over and above a rising baseline: o o o o 129,000 more girls and 55,000 more boys sitting the grade 10 examination in non DRS 100,000 more girls and 70,000 more boys passing the grade 10 examination in non DRS 3,500 more girls and 3,200 more boys sitting the examination in DRS 2,600 more girls and 4,500 more boys passing the examination in DRS The outputs are derived from the theory of change: o Government responds to incentives with improved policies and programmes that lead to increased enrolment and retention of students in lower secondary school – percentage of regional governments responding to RBA incentives with new policies/programmes o Incentives lead to more targeted and efficient use of existing resources- proportion of sector financing allocated to secondary schooling annually o Stronger aid relationship between donor and Governments –– percentage of stakeholders in Ethiopia who perceive RBA to have less conditions than other forms of aid in the sector An independent evaluation and a verification of results will be critical parts of this programme. The purpose of this evaluation will be to assess whether RBA is an effective use of foreign aid to achieve development goals. Answering this question will require evaluation of the relationship between the RBA incentive, government and donor behaviour, and how these impact on results (see Theory of Change below) The purpose of the verification is to ensure that the results are actually achieved and that any manipulation of results is exposed. Given that this is a pilot project and the importance of the evaluation and the independent verification means that significant financing has been allocated to them in the BC. A separate Business Case has been developed for the RBA verification and evaluation in order to allow enough time to internationally tender and contract firms, and start data collection before the start of the next Ethiopian academic year in September 2011. 2 Unless otherwise specified, the term RBA will be used to refer to the CoDA type approach 1. Strategic Case A. Context and need for DFID intervention A1. The Ethiopian Contextiii Ethiopia matters to the UK for a range of development, foreign policy and security priorities. It is populous, poor, vulnerable but comparatively stable in the Horn of Africa. From a low base, Ethiopia’s growth and expansion of basic services in recent years have been among the most impressive in Africa. The UK Government has an opportunity to make our support more transformational and accelerate Ethiopia’s graduation from aid dependency. The Government of Ethiopia (GoE) is capable and committed to growth and development, and is a proven partner in making rapid progress towards the Millennium Development Goals (MDGs). But its approach to political governance presents both substantive challenges to sustainable development and reputational risks to partners. Ethiopia lies at the heart of an unstable region that has experienced almost continuous conflict and environmental shocks in recent decades. Ethiopia and its neighbours – including Somalia, Sudan and Eritrea – languish at the bottom of the Human Development Index. Poverty and instability in the Horn of Africa are among the drivers of migration to Europe, and also contribute to an environment in which fundamentalism and radicalisation can prosper. UK interests in the region include progress towards the MDGs, resolving conflict, bolstering stability, accelerating sustainable growth and development, mitigating the impact of climate change, tackling migration, and countering terrorism. A stable, secure and prosperous Ethiopia is critical to UK interests. Ethiopia has come a long way in a short time, and has achieved stability through decentralised regional government. But Ethiopia has yet to successfully manage its democratic transition. The Ethiopian People’s Revolutionary Democratic Front (EPRDF) took power in 1991 and have held it since then. They have made progress towards a functioning democracy and respect for human rights, but there is still a long way to go. Ethiopia has a capable government that is demonstrably committed to addressing poverty, with an impressive record of pro-poor spending, sound financial management and relatively little corruption. Prime Minister Meles Zenawi and others in GoE play a role on global issues, including climate change, reform of the international financial architecture, and global health. Ethiopia has made impressive progress towards the MDGs. In the last five years, with substantial support from the UK and others, Ethiopia has: halved the incidence of malaria; deployed 32,000 more health extension workers; doubled the immunisation rateiv; rolled out an innovative social safety net to protect almost 8 million of the most vulnerable peoplev; and put 4 million more children in primary schoolvi. Strong macroeconomic leadership has helped Ethiopia achieve annual growth of over 7 per cent for the last decade. GoE’s new Growth and Transformation Plan (GTP) targets a doubling of the economy and achievement of the MDGs by 2015, and a greater (if still limited) role for the private sector and accelerated industrialisation. The GTP provides a platform to align UK support with GoE’s ambitions, make it more transformational, and accelerate Ethiopia’s graduation from aid dependency. Despite recent progress, Ethiopia remains one of the world’s poorest countries, with more than 30 million people living in extreme poverty. It is comparatively under-aided, receiving less than the African average per capita aid (still ranking in the bottom quartile). Aid per capita levels are the fifth smallest among the 17 current DFID priority countries in Africa.vii. Strong progress towards some of the MDGs is from a very low base, and will be difficult to maintain as the needs of harder to reach populations are prioritised. Population momentum will see the current estimated population of 83 million people rise to around 120 million by 2030viii, which is likely to be accompanied by rapid urban growth. Ethnic nationalism and underdevelopment fuel instability and insurgency in parts of the Ethiopian periphery, threatening the delivery of Ethiopia’s development objectives. External shocks, including climate change and fluctuating commodity prices, threaten growth. Ethiopia was badly affected by the oil and food price shocks in 2008, and will find it difficult to avoid price rises as global prices rise again in early 2011. Ethiopia can absorb more aid and use it well. DFID is a leader within the development community, championing results, aid effectiveness and transparency. DFID works closely with UK Government partners in pursuit of shared objectives for a stable, secure and prosperous Ethiopia. A2. Education and RBA context The GoE prepared the National Education and Training Policy (ETP) in 1994, and within this framework of the ETP launched the first five year Education Sector Development Program (ESDP I) in 1997 as part of a twenty-year education sector plan. As a result of a series of important organisational, financial and programmatic measures, the target set for ESDP I of raising primary enrollment from 3.7 million to 7 million was surpassed with enrollment reaching 8.1 million in 2000/01. By 2009/10 primary enrolment had reached 15.7 million (82% Net Enrolment Rate - NER). The number of out of school children dropped from 6.5 million to around 3 million between 1999 and 2008ix. Enrolment of girls has shown a steady increase with the gender parity index (girl to boy ratio) now standing at 0.93 in primary. First cycle secondary enrollment trends show significant increases (Gross Enrolment Ratio – GER - from 17.1% in 2001/02 to 39% overall and 35% for girls in 2009/10) and although second cycle secondary enrolment is low (GER of 7% overall and 5% for girls in 2009/10), it is increasing. These achievements have been remarkable and have occurred at the same time as a major expansion of both the Technical and Vocational Education and Training (TVET) and higher education sub-sectors. As part of the UK’s broader programme of transformative support for Ethiopia, DFID Ethiopia has agreed with MoE to pilot a Results Based Aid project. The pilot will support the GoE’s ambitious planx to increase lower secondary enrolment from 39% to 62% from 2011 – 2015 and put an additional 700,000 boys and 800,000 girls in lower secondary school by 2015. The targets are ambitious since lower secondary access has to date not kept pace with primary enrolment as the most recent statistics from GoE showxi: In 2009/10, the national net enrolment ratio for lower secondary school was only 16% as compared to 82% for primary. Few of those who enter lower secondary school pass the grade 10 examinations – in 2008/9, 849,432 students entered grade 9, but only 525,908 students took the grade 10 examination in 2009/10 and only 327,501 students passed (about 60% of grade 9 enrolment). Girls are less likely to enter secondary school, are less likely to take the grade 10 examination and are less likely to pass than boys – in 2008/9, girls comprised 43% of students entering grade 9, in 2009/10 they comprised 44% of students taking the grade 10 examination but only comprised 37% of students passing the grade 10 examination The situation is particularly serious in the Developing Regional States (DRS).which are less developed than other regions in Ethiopia, have a high proportion of the pastoralist population, and in some cases are conflict prone. Although these four regions account for 10% of lower secondary age children, they account for less than 4% of the students passing grade 10 examinations in 2008/9. Students in the DRS are also less likely to pass the grade 10 examination – in 2008/9, the national pass rate was 43% but it was only 34% in the four emerging regions. Children are less likely to attend secondary school in DRS. In 2008/9, the net enrolment ratio for lower secondary school in the four regions was only 2.7%. There are a range of results-based approaches (see evidence section). In the Ethiopia context DFID will pilot an approach where the partner government must arrange finance for the cost of all up-front inputs. Donor funding is only provided once results have been achieved and verified. (CGD’s Cash on Delivery Aid model is a good example of this approach). CGD’s Cash on Delivery Aid (CoD-Aid) model features arexii: CoD-Aid is a contract between the funding agency and the recipient government based on a mutually desired outcome and a fixed payment for each unit of confirmed progress. The purpose of CoD-Aid is to empower partner governments to achieve results however they see fit, thereby strengthening a government’s accountability to citizens, rather than donors. Donors also take a ‘hands-off’ approach, while partner countries decide on the path to achieving the agreed results Developing countries may need to finance the up-front investments as necessary. This is because payment is linked to the independent verification of results after they have been achieved. One of the strengths of CoDA-type RBA schemes is the use of country systems to achieve and gather data on results, thereby strengthening those systems for delivery of services and measurement of results. The intention during the pilot phase is not to move all financing to a results based approach, but to use the RBA financing as an additional and complementary instrument to generate additional incentives, to accelerate results, and to attract additional financing to Ethiopia through this modality. CGD visited Ethiopia in 2009 to discuss the approachxiii and had dialogue at the highest levels. The Prime Minister himself was reported to be interested, although GoE did not wish to pursue a pilot in only one or two regions as was proposed. The approach in the pilot builds on the work of the Centre for Global Development (CGD) and shares many features of their Cash on Delivery Aid (CoDA) modelxiv. A price per student who sits/passes the grade 10 examination over an agreed baseline will be established – with a premium paid for girls and students in the less stable peripheral regions - and payment made to the MoE once the results have been verified. Feedback received from the MoE during the design phase indicates that they would allocate the additional funding to regions on the basis of results and regions would allocate to districts and schools also based on results achieved. Additional financing to schools would be additional but complementary to per capita grants provided through GEQIP. DFID will carefully monitor the response both through the evaluation process and through the secondment of a senior education adviser to the Ministry of Education. A3. The policy context Achieving the millennium development goal targets Given the size of the country and scale of the problem, achieving the education related MDG targets in Ethiopia will make a significant contribution to achieving the MDG targets in sub-Saharan Africa and globally. Ethiopia accounts for about 3 million (of whom 55% are girls) of the estimated 32 million children out of school in sub Saharan Africaxv. DFID’s Business Plan commitments - In its Business Plan (2011-2015) DFID is committed to conducting at least three RBA pilots (deliverable under value for money and transparency): “Pilot Results-Based Aid and cash on delivery contracts in three developing countries by November 2011”xvi. This intervention will inform, through lesson learning, DFID’s policy and guidance on results based aid and the possible roll out of this approach to other programmes in Ethiopia and elsewhere. DFID-E Operation Plan - This intervention will contribute to the following DFID-E objectives in the 2010 – 2015 Ethiopia Operational Planxvii. This has been accompanied by a commitment to champion results, transparency, independent scrutiny and a focus on girls. This pilot project will contribute to all of these objectives as follows: Results – strong financial incentives for GoE to deliver and accurately measure results because payments will only be made on the basis of verification and agreement of the additional results actually achieved Transparency – the approach will establish clearly the basis upon which payments will be made Independent scrutiny – at two levels: (i) independent verification of results, that will form the basis for our release of funds; and (ii) an independent evaluation of the pilot Focus on girls – the premium for girls should create incentives for the government to put in place policies and programmes to accelerate progress in girl’s learning outcomes, to help unleash the transformational potential of girls. National policy context The Government of Ethiopia has ambitious goals as set out in the Growth and Transformation Plan (2010 – 2015)xviii. This document includes very stretching targets for almost full primary enrolment (98% for both boys and girls) and an increase in lower secondary education gross enrolment rate from 39% in 2009/10 to 62% by 2015. The ambition of the government, the progress it has been able to make in the past and its focus on results provide a strong foundation for DFID’s efforts to increase the focus on results through an RBA project. Under ESDP IV the main goals of GoE for general education are to improve access to quality basic education in order to make sure that all children, youngsters and adults, with particular emphasis on females, acquire the competencies, skills, values and attitudes enabling them to participate fully in the social, economic and political development of Ethiopia and to sustain equitable access to quality secondary educationxix. GoE also recognises the challenges faced by girls, and students in the DRS, and has laid out strategies in ESDP IV that seek to promote their participation and performance. A4. Other interventions in education in Ethiopia In Ethiopia, there are no other examples of RBA of the type that will be tested by the pilot. The RBA pilot is expected to generate additional results in secondary education, thus maximising the impact of our other sector investments. Complementary education support from DFID is summarised in the table below: Table 2: DFID Ethiopia – planned support for education: 2011 – 2015 No Programme/instrument What it is supporting/contributing to 1 Protection of Basic Services (PBS – 40% spend on education) Recurrent expenditure mainly salaries of teachers (access) 2 General Education Quality Improvement Programme (GEQIP) 2009 – 2013 Quality inputs and non-salary recurrent expenditure for general education (quality) 3 Basic services in Somali Region (new – being designed) 2011 – 2014 Improving access to quality education in Somali region (equity in access) e Quality Education Strategic Sector Support Programme (QESSPP) 2010 – 2012 Strategic support to MoE through a combination of advisery secondment and Technical Assistance 4 End Early (inception) provide school materials as an incentive to keep girls at risk of early marriage in school in Amhara Region (equity in access) Marriage A5. Feasibility of intervening DFID is committed through the BAR and OP to scale up results in this area. It has experience in this sector and the trust it has established with the Government of Ethiopia and other stakeholders. The RBA model allows the focus of DFID’s intervention to be shifted to achievement of priority results and it is anticipated that this will influence the way other donors and the Government of Ethiopia operate. This approach is strongly-aligned with the UK Government’s development aid agenda focused on results, value for money and accountability. In addition, the Ethiopian context meets all of the criteria identified in DFID’s Results Based Aid Primerxx. 1. There is interest from the partner government in piloting this type of RBA: RBA has attracted high level interest from policy makers in Ethiopia, including the Prime Minister, after a visit from CGD here in 2008. The Minister of Education has expressed a keen interest in piloting the approach in the education sector. 2. There is a degree of confidence that the particular results are achievable: the track record of Ethiopia in promoting improved education outcomes is impressive and it is therefore likely that the approach can work. For example, in the last five years enrolment in primary education has increased by over 2,000,000 and lower secondary by over 500,000xxi This is a good platform for further accelerating progress at lower secondary education level through the pilot. 3. There are robust data collection systems in place. Measurement of results is at the heart of the RBA model and national systems are used for data collection. As such, DFID-E has considered the following: a. Do management information systems (MIS) exist and do they work properly? A comprehensive abstract is produced annually based on routine administrative data. This includes data on most key indicators of interest to stakeholders. The result selected, the grade 10 examination, is set and marked federally and results are published annually. b. What is the quality of the data? (relevance, accuracy, timeliness, accessibility, comparability and coherence) : The Ministry has been working hard to improve the timeliness of the availability of EMIS data and the report was available within three months of the end of the academic year last year. Data quality is used for reporting purposes by development partners, although capacity building to improve accuracy and timeliness is being carried out through other channels. The grade 10 examination data is robust with respect to sitters, although there are concerns about cheating which may contaminate the results relating to passing. This will be monitored closely through the independent verification process. c. Is there potential for independent verification of the data? Agreement to the verification process will be included in a Memorandum of Understanding with the Ministry of Education. Terms of Reference for the independent verification have been developed as part of the separate Business Case for evaluation and verification. A6 Consequences of not intervening Not intervening would significantly impact on DFID-E’ BAR offer results. Based on modelled estimates of additonality attributable to the pilot (see model at Annex C), it could mean: o o o o 129,000 fewer girls and 55,000 fewer boys sitting the grade 10 examination in non DRS 100,000 fewer girls and 70,000 fewer boys passing the grade 10 examination in on DRS 3,500 fewer girls and 3,200 fewer boys sitting the examination in DRS 2,600 fewer girls and 4,500 fewer boys passing the examination in DRS In addition, not intervening would leave a significant gap in our knowledge of how RBA approaches impact on the aid relationships and results and lose the opportunity to substantially impact on aid effectiveness in Ethiopia. A7 Sustainability Ethiopia spends a relatively high share of its Gross Domestic Product (GDP) on education by international standards relative to it’s level of per-capita income of $344xxii it spends significantly more than India, (whose per-capita income of $1192 is almost four times as much), and only a little less than South Africa (whose per-capita income of $5786 is more than 16 times that of Ethiopia). Despite this, the overall funding gap in ESDP IV is estimated at £1.2 billion as indicated above. Much of this funding gap is expected to be filled by external partners. With the GoE already spending around 4% of GDP on education and over 20% of its budget, there is little likelihood that the GoE will be able to mobilise additional domestic resources to tackle the challenge of improving quality of education in the next five years. The RBA pilot is designed to demonstrate to partners how a different approach to aid can deliver results effectively and efficiently, thereby mobilising additional funding for the sector. As discussed above, improving education quality and access, especially in secondary schools, will contribute to both economic growth and improved social outcomes. Amongst countries that have participated in the Programme for International Student Assessment (PISA - an internationally benchmarked measure of learning) shows that test scores of one standard deviation above the average are associated with an average annual growth rate in GDP per capita of two percentage points higher over 40-yearsxxiii B. Impact and Outcome The overall impact of the project will be improved access to, and quality of, lower secondary schooling. The outcome will be an increase in grade 10 students sitting and passing the grade 10 examination over an adjusting baseline, especially for girls and in emerging regions. The outputs are derived from the theory of change: o Government responds to incentives with policies and programmes that lead to increased enrolment and retention of students in lower secondary school – % of regional governments responding to RBA incentives with new policies/programmes o Incentives lead to more targeted and efficient use of existing resources- proportion of sector financing allocated to secondary schooling annually o Stronger aid relationship between donor and Governments –– percentage of stakeholders who perceive RBA to have less conditions than other forms of aid in the sector B1. Political and Institutional impact There is strong political commitment to scaling up access to and quality of services from the GoE including education services. This will build on the GoE record of rapid scale up and delivery of results in recent years. The GoE’s Growth and Transformation Plan (GTP) reflects the ambitious targets of the education sector development programme to 2015 which focuses, among other objectives, on the achievement of the MDGs. This is a politically high profile intervention and has interest at the highest levels in both the UK and Ethiopia. For the UK, the objectives are around transparency and results, while the government of Ethiopia see this as a potential way to receive aid with fewer conditions. DFID will need to be clear that its policy conditions continue to apply even when using this instrument. There are also reputational risks to DFID if the approach does not yield predictable and timely aid flows. This is why the support has to be additional to existing financing for the sector during the pilot phase. It has been recognised that good governance requires state capability, responsiveness, and accountability, and that all three elements are needed to make states more effective, to tackle poverty and to improve people’s lives. There is no guarantee, for example, that a more capable MoE will automatically focus on reaching marginalised communities unless it is responsive and accountable. The MoE continues to explore alternative modes of education delivery considering the challenges and living styles of populations. The RBA pilot is an innovative approach to delivering aid against the achievement of result in the education sector. Supporting the GoE to expand access to and quality of services and make better development progress will inherently be strengthening the GoE’s legitimacy. In Ethiopia, given the overwhelming majority of seats won and held by the ruling political party in the 2010 election, it may be considered hard to clearly distinguish between supporting the GoE and supporting the ruling party. In line with DFID’s approach to state building for security and stability, DFID considers that providing support for an increasingly transformational programme in Ethiopia is the best way to help transform Ethiopia into an even more prosperous, stable and secure country. DFID has judged that a productive approach to working in Ethiopia is to combine work to improve transparency and accountability, and create a healthier, more educated population with growing expectations of economic opportunity and political space. Enhancing the quality of education will contribute to the creation of well educated citizens and communities able to hold the government to account. The pilot is intended to have far reaching institutional impacts, both with respect to the aid relationship and in terms of the way in which institutions at different levels respond to the incentives. It has also been claimed that RBA approaches can strengthen the social contract between the citizen and the state. The pilot is also expected to impact on other donors’ institutional approach to the delivery of aid. These impacts will also be carefully monitored through the evaluation process. A steering committee will be set up, including participation from GoE and donors, to provide oversight to the evaluation and help to create buy in. B2. Social impact Addressing barriers to educating girls and students in the Developing Regional States (DRS) were recently indentified as priorities in in the GEQIP social assessment. xxiv The project has been designed to maximise its social impact by providing additional incentives for girls and for students in the four most under-served regions. The focus on lower secondary and girls is based on evidence that investing in secondary education for girls has powerful effects on fertility, age of marriage, and earning potentialii. There are risks that rewarding grade 10 performance could divert resources away from primary level and may not be pro-poor as students who attend secondary tend to be relatively well off. A key assumption is that GoE commitment to pro-poor and equitable provision of education services will not be undermined by the pilot. For example, in the DRS a focus on lower secondary may draw resources away from remote pastoralist communities. The social impacts of the project, including financial flows, will be monitored through the independent evaluation. 2. Appraisal Case A. Determining Critical Success Criteria (CSC) The success criteria for the pilot have been derived from the theory of change in the first instance. Three additional criteria have also been included which relate to equity, accountability, and broader buy in from stakeholders. Table 1: Success criteria CSC Description Weighting (1-5) There is a demonstrable impact on results, especially 1 5 for girls and in emerging regions The pilot generates incentives to implement policies and programmes that increase grade 10 participation 2 5 and performance, especially for girls and students in DRS The additional financing is not earmarked to specific 3 4 policies and programmes The pilot increases the efficiency of funding to the 4 4 sector The pilot incentivises equity in the distribution of 5 3 resources and incentives Civil society bodies, such as parent-teacher 6 associations, are more involved in financial decision3 making and data verification Other stakeholders buy in to the results based aid 7 2 approach B. Feasible options The following two options, that are variants of the CoD-Aid approach, are identified for appraisal. Option A - CoDA tied to the education sector Option B - CoDA tied to individual schools While the Centre for Global Development’s (CGD’s)xxv proposed CoD-Aid approach (described in detail below) has provided a basis for dialogue with the Ministry of Education with respect to approach, coverage and pricing, it is not included as one of the options for appraisal. This is because it has been agreed that a) the incentive will be paid for both passing and sitting (see below) and b) additional payments will be channelled through MoE rather than through MofED as this was judged to be more likely to generate incentives for action in the education sector. The concept behind results-based aid is that the prospect of increased financial resources for a particular result will cause the recipient, in this case the Ministry of Education, to make to use existing resources in a more focused way to achieve this result. In this case, it is possible that additional resources and/or change in use of existing resources could occur at a number of levels including schools, the regions and the federal government, depending on the actions of the Ministry. The approach is also intended to reduce the reporting and policy conditions that are frequently applied in existing aid instruments. The theory of change is presented diagrammatically below. Key assumptions underpinning the theory of change are: a) That a relatively small amount of additional financing will incentivise the Ministry of Education to improve policies and programmes and use finance better b) Stakeholders regard RBA as an effective aid instrument c) Outcomes can be verified in order to trigger payment d) Sufficient results can be achieved to generate payment that will incentivise government Figure 2: Proposed theory of change RBA incentivises govt to Improve policies and programmes and use finance better Outcomes can be verified in order to trigger payment Government responds to incentives with improved policies and programmes RBA payment based on results Stronger aid relationship between donor and Government Improved learning outcomes and staying on rates for boys and girls More targeted use of existing resources Sufficient results can be achieved to generate payment that will Incentivise govt Stakeholders regard RBA as an effective aid instrument Additional financing Evidence for impact of Results Based Aid Results-based approaches can broadly be categorised as Results Based Aid (RBA) or Results Based Financing (RBF), although hybrids also existxxvi. RBA is an aid partnership between a donor and a partner government. It departs from inputbased approaches where funds are made available for inputs such as development of policies, procurement of services, work and supplies, and payments for recurrent expenditure such as salaries. Instead, RBA introduces a new concept of conditionality whereby disbursement is tied to results, but where the donor otherwise takes a more ‘hands-off’ approach. Examples of variants of RBA: Global Fund for HIV/AIDS, TB and Malaria, Gavi Immunization Services Support, EC MDG Contract (a type of general Budget Support implemented by the EC), and the so far untested CoDA approach. RBF is an approach to contracting a service provider or incentivising a beneficiary of services. Unlike RBA, it is not an aid relationship with the partner government. Voucher schemes, cash transfers and output-based contracts with service providers are examples of RBF schemes that DFID already has experience with. RBF schemes are funded from either domestic government resources or aid (or both), with payments made to beneficiaries or service providers, usually through a third party. RBF schemes that make payments to beneficiaries are aimed at increasing access to services, while those that make payments to service providers such as teachers and health workers aim improve the provision of services. Some schemes provide funding to both beneficiaries and service providers. Examples of RBF: Global Partnership for Output Based Aid (GPOBA), Health results Innovation Trust Fund (HRITF), vouchers, and cash transfers. There is evidence to show, especially in the health sector, that RBA/RBF approaches can deliver resultsxxvii. For example, a recent World Bank literature reviewxxviii found that results-based financing mechanisms appear to increase utilisation of priority maternal and child health services, and that conditional cash transfers have been shown to have positive effects on child health outcomes. However, the COD-Aid model is untested, especially with respect to the hypothesised causal chain between RBA incentives, improved aid relationships, more effective programming and improved results (see Theory of Change below). Experience with results-based aid schemes in the education sector is very limited, particularly when compared to the health sector. However, the need for such approaches has been recognisedxxix. In the absence of a robust evidence base, the DFID RBA Primer was used to identify a number of key design issues and these have been taken into account in the options for appraisal below. In brief the key design issues as they relate to this pilot are: Results: (i) choosing results that have broad-based country ownership – GoE places a very high priority on expanding quality secondary education. (ii) outcome vs. output: the level of results to be targeted is important. The intention is to choose results that are linked as closely as possible to the desired outcomes and that can be measured without incurring in significant disbursement delays. Grade 10 sitters and/or passers are both closely associated with the desired outcome and (iii) additionality is important: the results chosen should be able to be identified as additional to results that would have been achieved with any other government or donor funding. This is a key issue for the design of the evaluation of the pilot. Unit of reward: It is important to negotiate a ‘unit price’ that represents value for money for both DFID and the partner government/service provider, reflects the degree of difficulty of achieving the results, and addresses incentives. The unit of reward should not be too high to negatively affect value for money and not too low or the incentive might be reduced to zero. The price will be subject to negotiation with government and based on the average cost of educating a secondary student for one year. Measuring and verifying results: there is a need to identify an acceptable and feasible process for verifying results that addresses weaknesses in statistical systems and negative incentives e.g. for data fraud – independent evaluation of results has been agreed in the design phase. Conditionality: RBA proposes a different approach to conditionality: no policy conditions are being attached to the financing. Evaluability: Building in evaluation from the outset, to inform DFID’s longer-term policy on results-based approaches. Avoiding negative unintended consequences: distortion and “cherry picking” : we need to be aware that strong incentives to achieve results in one programme might distort the allocation of resources away from other programmes that might be equally important. This can be a particular problem if the neglected activities are around systems strengthening and quality of services. “gaming”: data or reporting fraud to receive higher rewards/payments is a potentially major problem especially if the financial pay off is large enough. Rigorous independent verification of the results is planned that should provide valuable insights into these possible unintended consequence. Based on these principles, two options were actively developed and considered in order to deliver on this theory of change. A ‘do nothing option’ has not been formally appraised because of the high level appetite for this pilot. In both the options considered, the result selected is the grade 10 examination. This is because this result is judged to be the most robust and accurate with respect to its measurement3. The pilot will also explore whether other results (such as the grade 8 examination results) could be introduced subsequently. For ease of comparison, the key features of CGD’s Cod-Aid approach and the two main options are briefly described and compared below: The key features of CGD’s COD-Aid approach would be (from www.cgdev.org): DFID would pay based on a unit of reward for each assessed completer (sitter). Unit of reward would be set at £123 (or $200) per student sitting the Grade 10 exam and there would be no ceiling on the payment. GoE has full responsibility for and discretion in using funds – funds are totally unearmarked and go to Treasury/Ministry of Finance. This is based on the concept that because payments would only be released once results are achieved, it does not really matter how the GoE would spend the funds ex-post. Under this approach, it is assumed that the results will be sufficient to incentivise government to focus finance on the priority sector. One national baseline above which payments will be calculated: The outcome measure is verified by an independent agent. The independent verification would be contracted out to a third party. The contract, outcomes and other information must be disseminated publicly to assure transparency. Option A (CoDA tied to the education sector): this is similar to CoDA with respect to the last two bullets above. It has the following key differences: Payment based on a unit of reward for each girl and boy that sits and passes the Grade 10 exam (pass rates are published annually in the Annual Abstract). 3 The concern with the grade 10 examination is that the additional incentive for passing the examination (which is relatively high stakes) could increase the amount of cheating, which is already a problem. The MoE are planning to tackle this problem by strengthening invigilation. The issue will be closely monitored through the verification and evaluation processes. This would not affect the sitters. The unit of reward includes incentives for girls and students in emerging regions as follows: £50 for boys and £85 for girls in the major regions and £75 for boys and £100 for girls in the emerging regions. Funds when released are given to Ministry of Education rather than paid into the general budget and therefore they are notionally earmarked for the sector – MoE has full discretion over how it uses the funds; It has 4 baselines above which additional results will be calculated for payment: girls in emerging regions; boys in emerging regions; girls in non-emerging regions; and boys in non-emerging regions. There is a financial ceiling of £10 million per annum to protect DFID-E from unlimited liability Option B (CoDA tied to individual schools): this is the same as option B in all respects except bullet three: Rewards are paid to each individual lower secondary school rather than to the federal ministry; so the more results a school achieves the more it gets in funds; A baseline and results would be developed for each school providing lower secondary education. Environmental and climate change effects We anticipate that the additional financing will mainly be spent on soft inputs at Woreda and school level, much of it in the form of enhanced school grants. As a result, environmental impact will be minimal. Any infrastructure development would follow GoE environmental guidelines which are set out in standards documents that have been agreed with regional governments. If there is significant capital investment, then this will be monitored through the independent evaluation and the quality of the construction, including its potential environmental impact, will be monitored through this process. Any deficiencies identified in the pilot phase will be used to (1) inform any future scale-up of the intervention (2) inform efforts to strengthen environmental assessment in infrastructure developments (e.g. through the Local Investment Grant programme). In the table below: The quality of evidence for each option is rated as either Strong, Medium or Limited The likely impact on climate change and environment is categorised as A, high potential risk/opportunity; B, medium/manageable potential risk/opportunity; C, low/no rjsk/opportunity; or D, core contribution to a multilateral organisation Option Evidence rating (A, B, C, D) A B C Limited Limited Limited Climate change and category (A, B, C, D) C C C environment C. Appraisal of options The following appraisal examines each of the options against the critical success criteria presented in table 1 above. 1. Demonstrating results Which result to focus on? The CoDA-Aid approach proposes that the most robust indicator is sitting (i.e. paying for each student who sits the exam, irrespective of their performance). The advantage of focusing only on sitters is that it is relatively easy to verify and is not as prone to dispute as passing. The disadvantage is that it may rapidly increase participation, but with no corresponding focus on performance. While acknowledging the methodological problems posed with rewarding passing, MoE was clear that the pilot should pay not only for the number of additional students who enrolled or the examination, but also for those who actually gained a pass mark. Therefore both options A and B propose to reward improvements in sitting and passing. The government is paid an incentive for every additional student who sits the examination. The advantage of including an indicator for both passing and sitting is that this meets GoE expectations for a focus on quality, minimises the risk that incentives will be generated to only focus on students who are likely to pass the examination, and also reduces the risk that participation will be expanded at the expense of quality. Rewarding the number of students who pass the examination rather than the number who sit is in line with the GoE focus on quality improvement. However, at least three problems were identified with a focus on paying for passers only. The first is that it may incentivise the system to focus only on those students who are likely to pass at the expense of low achievers. Secondly, it may encourage cheating at decentralised levels. Thirdly, in the case of Ethiopia the pass rate is partially norm referenced and has been subject to considerable variation over the past five years, the reasons for which are not well understood (see table 2 below). Table 2: Grade 10 examination results (GoE Annual Statistics Abstract, 209/10) Year % males passing % females passing Overall % 2005/06 54.7 36.9 48 2006/07 56.1 39.5 49.8 2007/08 44.6 28.6 38.4 2008/09 49.9 32.2 42.6 2009/10 69.7 52.7 62.3 Tables 3 and 4 show how the payments for both options work for results in non DRS and in the DRS The tables show that the reward is higher for girls in all regions and for students in the DRS. Table 3: Payments for sitters and passers (non DRS) Category Option A and B Boy who sits £50 Boy who sits and passes £100 Girl who sits £85 Girl who sits and passes £170 Table 4: Payments of sitters and passers (DRS) Category Option A and B Boy who sits £75 Boy who sits and passes £150 Girl who sits £100 Girl who sits and passes £200 Demonstrating impact The focus of RBA is achieving additional results over a baseline in order to generate incentives. The options need to show that results will be achieved with a particular incentive package over a verified baseline. Actual results with the RBA approach are very difficult to predict. Demonstrating that results are attributable to the RBA incentive is even more challenging. The independent evaluation will seek to do this. Option A proposes earmarking to the education sector but with no further policy or programmatic conditions. We judge that, given our current dialogue in the sector and the strategic secondment in the MoE of a senior DFID education adviser, the uses to which our additional financing would be put would be relatively easy to track (although attributing changes in results to our funding would be challenging). Option C earmarks financing to the school level. We judge that this would be the most straightforward to track and attribute to results over time. 2. Generating incentives This is a core assumption in the ToC and it will be carefully evaluated. Under option A, the sector ministry has oversight of the additional financing and will develop criteria for how it is allocated to regions, and broad guidelines for how regions should use the additional money. We judge that this will provide enable incentives to be generated at both regional and woreda level to develop innovative approaches to improving grade 10 examination results. Option B would earmark funds to the lowest level of the system - the school – and would therefore be most visible to end users. However, many of the barriers to improved participation in secondary schooling are not necessarily that schools can tackle themselves (for example, provision of safe boarding close to the school or improvements in teacher training). We therefore judge that this option will be less effective that option A in generating incentives at appropriate levels of the system. The question of whether the payment is set at the right level has been keenly debated. The payment is actually based on the average costs of educating a secondary school student. The evaluation will seek to answer the question of whether this incentive has been set at the appropriate level. 3. Earmarking to specific policies and programmes This critical success criteria is concerned with the extent to which the recipient has ownership and control of the inputs Neither of the options specify what type of policy response would be appropriate in order to achieve the results – this is fully in line with CGD’s CoD-Aid approach. However, the two options can be placed on a continuum, where option A provides better discretion for MoE to flexibility use the budget with in the education sector, option B provides no discretion to MoE (as this option earmarks additional resources to schools based on a pre-agreed funding formula). There are advantages and disadvantages to both approaches as shown in table 5 below: Table 5: Advantages and disadvantages of earmarking in the two options Option Advantages Disadvantages Option A Builds on existing education sector Possible risks that additional dialogue and policies but retains a financing may not reach the point of high degree of discretion in the service delivery i.e the school sector Option B Ensures that the money flows down Reduces discretion that the to school level where it may generate government has over how it allocates significant incentives the additional money – not in line with the Co- Aid philosophy 4, Impact on efficiency The CoD-Aid approach is predicated on an assumption that the incentives created will lead to increased value for money with respect to achieving the specified result. The World Bank’s GEQIP Project Appraisal Document stated that “the Public Expenditure Review (PER) in 2004 showed that the composition of spending by level of education appears appropriate. During the past few years, there has been an increase in public spending towards higher education with the expansion of the tertiary education system, financed mostly by the federal Government.” However there seems to be two challenges: (i) insufficient spending in education despite the education budget being 19.5% of total federal budget (or 4.8% of GDP); and (ii) a high share of expenditure allocated to salaries. These challenges were confirmed by the 2010 Public Expenditure Reviewxxx. RBA schemes in general (including CGD’s COD-Aid) are modalities that make payment conditional on achieved results. The funds are released once results have been achieved. Therefore there is no injection of funds ex-ante. The GoE is incentivised to achieve results with existing resources (own and donors’) with the expectation of a reward (ex-post). That implies that the government needs to make use of the existing resources in an efficient and effective way to achieve additional results over the baselines. Efficiency gains are integral to the RBA approach as is reflected in the Theory of Change. Efficiency gains will be a key component of evaluation, as this is one of the major lessons to be learned from RBA – including a test of whether the size of the incentive is sufficient to generate change (Ethiopia’s education budget is over $1 billion/annum). Both options entail paying ex-post, i.e. after achievement of results. So both options potentially trigger efficiency gains. Option B that earmarks funds at the lowest level, i.e. at the schools, and makes a very strong assumption that the schools are key institutions in the system that could improve efficiency. Schools are very important in the delivery of education services, but the education system is more than just schools. Efficiency gains could be found at different levels from federal to decentralised regions and below, and the pilot should allow the system to test these efficiency gains. Therefore, option A provides more leeway to the government to pursue efficiency gains. 5. Equity/not diverting resources away from deprived groups: Equity is not a primary concern for CoDA, but in the Ethiopian context, there is no question that equity is an important consideration both in terms of gender and geography. Girls’ gross enrolment in lower secondary schools is 35% and it is even lower in Somali and Afar regions at around 6%.xxxi. Both options directly address gender and geographical equity by building in financial incentives as Tables 3 and 4 above show. Option B further addresses equity by earmarking funds to all 1,300 secondary schools (although the performance based component could penalise poor performing schools with lower achieving student populations); however, this would significantly reduce MoE discretion over how the additional money would be used. Both options entail some risk that financing will be diverted from primary schools to lower secondary, undermining equity objectives, as lower secondary students tend to be drawn from higher income families. This possible unintended consequence will need to be tracked through the evaluation process. 6. Involvement of civil society One of the impacts of RBA approaches is that they should strengthen a government’s accountability to citizens rather than donors. None of the proposed options has a specific focus on building civil society engagement in budgeting and verification of results. Option B brings the additional financing very close to the end users (children and their parents). Option A is within the education sector where GEQIP is already providing a platform for dialogue on school level accountability and there is a strong possibility that at least some of the incentive would flow down to school level and be subject to scrutiny by Parent Teacher Associations as in option B. 7. Other stakeholders buy in to the approach Ethiopia is a context with multiple donors, often with competing priorities, and some fragmentation of aid. An important outcome of the pilot is that other donors learn from and apply the CoDA approach (whether in the education sector or elsewhere). There has already been considerable consultation in Ethiopia and more broadly on the proposed pilot and there is interest in the general principles. We judge that a sector based pilot will be more visible and understandable to stakeholders. CGD critiqued option B as it ties the funds to schools and was regarded as excessive earmarking. Option A is both visible and relatively hands off so should generate reasonably good initial buy in and interest. . D. Comparison of options Table 6 compares the three options against the six critical success criteria (CSC) identified under A and using the analysis presented in the appraisal section. Wt is the weight of each CSC – see A. S is score and WS is weighted score. Table 6: Comparison of options CSC 1. There is a demonstrable impact on results, especially for girls and in emerging regions 2 Incentives generate to implement policies and programmes that increase grade 10 participation and performance, especially for girls and students in DRS Incentives generated to 3. The additional financing is not Wt 5 A: Sector CoD S WS 4 20 B: School CoD S WS 5 25 5 4 20 3 15 4 4 16 2 8 earmarked to specific policies and programmes 4. The pilot increases the efficiency of funding to the sector 5. The pilot does not lead to a diversion of resources away from deprived groups 6: Civil society bodies, such as parentteacher associations, are more involved in financial decision-making and data verification 7: Other donors buy in to the results based aid idea TOTALS 4 3 3 4 3 2 12 2 8 12 4 12 3 9 4 12 4 8 3 6 97 86 As the total scores suggest, option A, CoDA tied to the education sector, has come out as the better option with respect to the critical success criteria. E. Measures to be used or developed to assess value for money We applied DFID’s 3Es (Economy, Efficiency and Effectiveness) VfM framework to analyse how we maximise the impact of each pound to be spent on the Result Based Aid (RBA) pilot project. E1 Economy This relates to how our money buys key inputs of the appropriate quality at the right price. In Ethiopia it costs approximately £50 to fund a student for two years of lower secondary educationxxxii. Additional costs of passing the examination, of educating students in the emerging regions, or of educating a girl are not fully known. In our appraisal, both options use the following pricing: Table 4 - Pricing for Options A and B Passer Emrg Non-emrg Boys £75 £50 Girls £100 £85 Sitter Emrg Non-emrg £75 £50 £100 £85 The rationale for the additional cost (over the average cost of £50) is based on the hypothesis that a financial incentive above cost and paid ex-post encourages the education system to deliver more results, in excess of what it would otherwise have delivered (without the incentive). In the case of the education sector, the reward could be considered to be related more to the marginal cost of reaching marginalised students, such as girls and students in emerging regions, than with the average cost across the whole of Ethiopia. But how much more should the reward be above the average cost? Because RBA is meant to improve results and not to fund huge expansion of services, they act as an incentive for the public administration to be more efficient. That means that an RBA scheme creates an incentive for the service provider to move toward a situation where inputs are used most efficiently to provide a (higher) level of services without changing the technology or without large capital investment. CGD in their simulation model for education in Ethiopia suggests $200 (approx £123) per student completing education. The $200 does not seem to be related to costs and it is hypothesised to be large enough to trigger a response by the education sector to achieve more results (the hypothesis is untested). By comparison, both options A and B both use a base price that is tied to the costs of educating a student for two years in secondary school and apply that as an incentive for both sitting and passing. Additional costs are hypothesised for emerging regions (relating to under-development and difficulties of reaching marginalised populations) and girls (socio-economic challenges to attracting and retaining girls in secondary school). The independent evaluation will test. Through the independent evaluation we intend to: (i) test whether the pricing structure is optimal to trigger the expected increase in sitters and passers the impact of the RBA that pricing; and (ii) to track the value for money over the life of the pilot. One measure of this will be the per pupil cost of educating students in lower secondary school. The model used to project additional sitters and passers for the both options, allowed a calculation of the average costs (investment) per girl sitting or passing Grade 10. An analysis of the CGD’s pure CoDA is also included in the model spreadsheet just for comparison only (See Annex C). The model relating to passers for both options assumes an 80% and 75% increase in passing rate for girls in emerging and non-emerging regions respectively over an average increase in the rate without RBA. For boys, the figure is 50% and 40% respectively. Accordingly the model predicts an additional 178,000 passers would be incentivised. The model for sitters under both options assumes an 8% and 7.5% increase in sitting rate for girls in emerging and non-emerging regions respectively over an average increase in the rate without RBA. For boys, the figure is 5% and 4% respectively predicting that an additional total 191,000 sitters would be incentivised under both options. Table 5 - VfM measures –sitters Option Million £ Additional sitters over three years Same for both A and B £26. 9 191,000 at a total cost of £13,943,000 Additional passers over three years 178,000 at a total cost of £12,994,000 Av. Cost per student sitting/passing £73 Based on the modelling, therefore, both options offer the same better value for money per sitter and passer. However it is also worth noting that Option B entails additional transaction costs in order to earmark and channels the incentives all the way down to the 1,300 secondary schools, so although the average cost per girl passing Grade 10 is the same as Option A, the additional transaction costs decrease its value for money. Using this measure of VfM, option A is the preferred option. E2 Efficiency The efficiency analysis relates to how well our partners (in this case the GoE) convert inputs into outputs. The fact that the pilot pays on the achievement of results is anticipated to leverage greater efficiency from the education system. In the literature, educational efficiency is reported to have a high correlation to quality and the commonly used measure of educational efficiency is student’s drop-out rates and repetition rates. As highlighted in the recently published Ethiopian Economic Association (2011) publication on the Ethiopian economy, high drop-outs and repetition rates imply inefficiency and wastage of resourcesxxxiii. Drop out is not a major problem in secondary schooling, but as noted above, many students who sit the grade 10 examination fail it. If the pilot is able to incentivise the system to increase the grade 10 pass rate then this will result in efficiency gains. E3 Effectiveness The potential results benefits of a programme focusing on improving secondary education access and quality include: Increased earnings potential – In economics literature, education is viewed as an investment that turns unskilled labour into skilled labour which increases returns in the labour market. As a result, education is expected to be positively related to labour market outcomes (Malhotra et.al., 2003). For example, one estimatexxxiv suggests that the rates of return to one additional year of schooling, averaged over 100 countries, is 10%. Figure 4 below shows rates of return analysis for education in Ethiopia conducted in 2005xxxv. This shows significant and increasing returns to higher levels of education. Another model based analysis by Tilahun (2005)xxxvi revealed that extra year of schooling for an Ethiopian manufacturing worker would generate 10% rate of return for both men and women. Figure 4: Monthly mean earnings per level of education: Ethiopia 2001 (from World Bank, 2005) This analysis draws on other studies in Ethiopia that have found consistently found positive effects on investments in education for earnings. These include: o Tilahun (2005)xxxvii - an extra year of schooling for an Ethiopian manufacturing worker would generate 10% rate of return for both men and women, o Verwimp (1996)xxxviii - based on a small sample of 422 male wage earners employed in the public and private sectors in 1994 revealed that an extra year of schooling yields an estimated return of 15 percent in urban Ethiopia. o Wolday’s (1997)xxxix - Using data for 1996 for 843 workers in a state owned enterprise (Edget Cotton Factory) and 170 workers in a formal sector private enterprise (MOENCO), found a return of 5 percent in the public sector and 8 percent in the private sector for an additional year of schooling. Krishnan, Selassie, and Dercon (1998)xl - using data from the 1997 Ethiopian Urban Household Survey, revealed varied rates of return to education for public and private sector employment. According to the result, an extra year of schooling would yield a return of 10.6 percent for primary education, and 15 percent for both secondary and higher education for men employed in the public sector. On the other hand, for those working in the private sector, study came out with 0 rate of return for primary education, 8.2 percent return for secondary education and 21.5 percent return for higher education. The demographic bonus If the pilot succeeds in increasing the number of girls who successfully complete primary and secondary education there will be positive externalities related to lower fertility rates and reductions in early marriage. According to a 2005 study, raising education levels for women is a key factor in accelerating demographic transition in Ethiopia. The same study stresses the importance of girls’ education in reducing early marriage and fertility and increasing economic growthxli. Health benefits Improved levels of education have been associated with better health of children through parental education; increased life expectancy; improvement in spouse’s health and lowered mortality; and improved contraceptive efficiencyxlii. Education leads to reduced fertility by enhancing women’s knowledge, decision making power, confidence in interacting with the outside world, closeness to their husband and economic and social self reliance.xliii Maternal education is a key factor in improved child survival rates, and even low levels of education increase child survival.xliv Maternal education is also positively related to knowledge of immunisation and may be expected to influence accessing preventative health servicesxlv. Child nutrition is positively and independently associated with mothers’, fathers’ and grandmothers’ education.xlvi Improved equity – poor children, those living in rural areas, and pastoralists are amongst the groups who are less likely to benefit from improved education opportunities. By providing additional incentives to the DRS, the RBA pilot is expected to have a disproportionate benefit on the poor, rural children Aid effectiveness – the hypothesis to be tested is that the approach will have a significant impact on aid effectiveness with respect to reduced transaction costs and conditionality and increased government ownership. E4 Cost effectiveness Cost benefit analyses was carried out for both options to measure the net benefits attributed to each option and the impact on poverty reduction of the Result Based Aid (RBA) programme relative to the additional inputs (£27 million) to be allocated (see annex D). The cost benefit analysis focuses on two benefit streams: a) public expenditure efficiency gains associated with system strengthening and b) the impact on growth (using a proxy of private returns to secondary education) associated with the increase in the number of semi-skilled workers in the economy as a result of the investment in education. We employed two methods to this effect: one based on the sum of the efficiency gain and the private return to investment in secondary education and another based on efficiency gain only. Impact on Growth: Considering the global and Ethiopia specific evidence regarding return to investment to secondary education as summarized in the effectiveness section above, we assumed 20% return to investment in secondary education which translates to £32.3 million monetized benefits using method 1 for both options. This is because in both options we assumed a similar number of exam sitters and passers which benefits from this scheme. Under method 2 we did not assume impact on growth of the RBA. Efficiency Gain in Public Expenditure: General or sector budget support will generate efficiency gains in public expenditure. However, as indicated in a Joint Evaluation of Budget Supportxlvii, the magnitude of these effects depend on whether an increase in discretionary funds is actually made available to the government budget. It was reported that in some cases general budget support clearly improved allocative efficiency by enabling the governments to complement earmarked resources. The same evaluation also highlighted the positive contribution of General Budget Support to operational efficiency of public expenditures by facilitating a better balance between capital investment and recurrent spending in government budgets. The proposed Result Based Aid programme, which a sector budget support type of instrument, is thus envisaged to deliver efficiency gain to public expenditure in education. But, we do not have empirical evidence on efficiency benefits of sector budget support programme in Ethiopia. So, in the absence we have looked in to evidences from budget support programmes in other countries. One notable experience is the Malawi’s General budget support programme economic appraisal work. The Pearmanxlviii paper for Malawi’s GBS Economic Appraisal mentioned about the possible indirect benefits from Poverty Reduction Budget Support (PRBS) programmes in the form of GDP growth and labour productivity enhancements. They assumed 0.4% efficiency gain benefits in their economic appraisal of Malawi’s General Budget support. So, taking note of such country experience and since the RBA investment is assumed to be channelled directly to the education sector with a greater incentive for the government to design better systems for nationwide application we have assumed a relatively higher efficiency gain of 0.6% for option A in our RBA cost benefit calculation. For option B, on the other hand, since the investment would be directed to the school, the incentive to design and implement better systems would be limited to the schools. So, we assumed a relatively lower efficiency gain of 0.4% which is based on assumptions from a direct budget support programme in Malawi. This delivers discounted efficiency gain of £40.9 million for option A and £26.7 million for option B under both methods 1 & 2. We assumed that the efficiency benefits will be higher during the intervention period and then will diminish thereafter. Overall Economic Appraisal: Over a 14 year period, the cost benefit analysis using Method 1 (our preferred approach) resulted in a Net Present Value (NPV)xlix of £50.25 million and a Benefit Cost Ratio (BCR) of 3.19 at 12% discount rate for option A (Table 6). This implies that over £3 of benefits is delivered to Ethiopia for every £1 that is spent in the education sector through Result-Based Aid (RBA) approach i.e. the incremental benefits of the programme exceed the incremental costs by three times (see the attached spreadsheet). For option B, method 1 resulted in Net Present Value (NPV) of £36.06 million and a Benefit Cost Ratio (BCR) of 2.57 at 12% discount rate. Our preference in using the 12% average lending rate as discount rate is based on the consideration of the fact that Ethiopia is a highly credit constrained economy. This is in line with the recent discount rate guideline which highlights the fact that the SOC is more appropriate for making shorter-term trade-offs in economies marked by a severe shortage of resources. Also, the World Bank used 12% discount rate for Ethiopia in its economic appraisal of the Agricultural Growth Programme (AGP). It is not possible to calculate an IRR for this method because of difficulties in generating a multiyear benefit stream. Also, it should be noted that even with out considering efficiency gain benefits, this method generates NPV amounting to £9.37 million and Benefit-cost ratio of 1.41 for both options which again justifies the RBA investment from the VfM perspective. Table 6: Economic Appraisal on RBA: Rate of Return + Efficiency Gain (Method 1) Particulars Option A Option B 0.20 0.20 396000 396000 73 73 87.6 87.6 Total Benefits (£) 32,324,400.00 32,324,400.00 Total Discounted costs (£) 22,956,247.12 22,956,247.12 Net present value (£) (excluding efficiency gain) 9,368,152.88 9,368,152.88 BCR (excluding efficiency gain) 1.41 1.41 Discounted efficiency gain (£) 40,886,543.48 26,696,293.48 Total discounted benefits (£) (including efficiency gain) 73,210,943.48 59,020,693.48 Net present value (£) (including efficiency gain) 50,254,696.4 36,064,446.4 3.19 2.57 Private Return education to secondary Number of Pupils (beneficiaries) passing the grade 10 exam over four years Cost per pupil (£) Value per beneficiary (£) BCR (including efficiency gain) So, based on the estimated results using method 1, option A delivers better VfM from a costbenefit perspective as it yielded greater NPV of £50.25 million and benefit cost ratio of 3.19 based on method 2 compared to option B. We have also employed a second methodology that only considers the efficiency gain benefits of the RBA investment. This method generates a lower NPV and benefit cost ratio estimates compared to method 1. That is, for option A the NPV amounted to £18 million with an Internal Rate of Return (IRR)l of 12% and a benefit cost ratio of 2. For option B, on the other hand, th estimated NPV using this method is quite low (£3.7 million) with an Internal Rate of Return4 (IRR) of 3% and a benefit cost ratio of 1.2. In both cases, these benefit streams would have been higher had we have included the growth effect. It is worth mentioning the caveats of this economic appraisal on RBA investment. First, this result is based on some strong assumptions regarding the possible efficiency enhancement contributions of a four year RBA programme far in to the future. So, it might be worth undertaking a research to understand the real contribution of education related expenditure towards public expenditure efficiency enhancement. Also, the estimation depends to a certain extent on the assumed rate of return to investment in secondary education. To test whether the estimated results are sensitive to the assumed parameters, sensitivity analysis was made on the estimated cost-benefit results for option 1 under method 1. This was done by varying the private return to investment in secondary education and public expenditure efficiency-improvement parameters in three different scenarios. First, if private return to investment in secondary education was reduced to 10% while keeping the same public expenditure efficiency improvement parameter, the NPV becomes £47.6 million and BCR of 3.07. Even at this level, the appraisal revealed positive NPV which shows good value of money of the RBA support programme. Second, if we reduce the private return to investment in secondary education parameter to 5% while keeping the same public expenditure efficiency-improvement, the NPV becomes £46.2 million and BCR of 3.01. Again, the appraisal revealed good value of money of the RBA support programme and we would accept the envisaged RBA intervention. Finally, if the private return to investment in secondary education parameter was kept at the same level while reducing the public expenditure efficiency-improvement to 0.2%, the NPV becomes £22.2 million and BCR of 2.0. This appraisal result is again in favour of the decision to accept the envisaged RBA intervention. In general, the above appraisal fully supports the case for a) providing financing to RBA and b) channelling that financing through the education sector budget. RBA should be seen as part of the existing package of DFID’s support to basic services in Ethiopia including through the Protection of Basic Services (PBS) programme which is complementary to the sector specific programmes in education. Work is also underway to explore complementary and focussed programmes to improve equity across the regions. 4 IRR is the internal rate of return on an investment. IRR finds the discount rate that makes the NPV equal to zero. The discount rate is the cost of borrowing or using money for investments. The decision to accept or reject the purchase depends on the whether the internal rate of return is higher than the discount rate. The decision criteria is that, accept the project if the IRR is higher than the discount rate or the cost of borrowing. 3. Commercial Case Clearly state the procurement/commercial requirements for intervention (distinguishing between direct and indirect procurement) All procurement undertaken with financing from the RBA pilot will all be indirect and will be undertaken by the Federal Ministry of Education, universities, regional governments, woredas, and schools. At the federal level, the procurement Department in the MoE is responsible for the oversight of any procurement activities. DFID will undertake direct procurement of firms to conduct the independent verification and the evaluation (see separate Business Case). A. Why is the proposed funding mechanism/ form of agreement the right one for this intervention, with this development partner? One of the core objectives of RBA is to give more ownership to partner governments with respect to how they use aid. A Memorandum of Understanding with the government, which guides the principles on which direct payments will be made (i.e. on the basis of results with an agreed price), is considered the most appropriate choice of funding mechanism. As part of the MoU the Ministry will be required to transparently communicate decisions to stakeholders on how the money is allocated. This will be communicated at the annual education conference (a multi stakeholder event). Indirect support also potentially reduces costs and is likely to offer good value for money as financing will use government’s own systems and guidelines with no additional costs of administration or oversight. The actual expenditure items in the project cannot be identified upfront with this kind of approach. Preliminary discussions with the Ministry have indicated that they will likely reward regions on the basis of their school performance in the examination. In their turn, regional governments have suggested that they would reward districts and schools in the form of enhanced grants. Spending on a range of inputs could take place at any of these levels. B. What has been done to assess whether the third party organisation has the necessary capability and capacity to obtain best value for money from the funds they are spending on behalf of DFID? Where improvements in capability or capacity have been identified how are these being taken forward? Assessment of national procurement systems The recent World Bank Country Procurement Assessment Review (CPAR)li at Federal level found procurement systems to be acceptable overall when benchmarked against international good practice. The CPAR did however identify a gap in procurement audit capacity as the Auditor General function is not equipped to focus specifically on procurement. The MoE has commissioned independent consultancy services for the procurement audit of GEQIP. Although substantial improvements to the legal framework for public procurement have been made in Ethiopia in the last few years, procurement capacity remains a significant challenge at all levels of government. The Federal Public Procurement Agency (FPPA) has currently embarked on a multifaceted approach to improve the procurement capacity of the GoE including strengthening the capacity of staff and oversight functions. Assessment of education sector procurement systems A procurement capacity assessment of the education sector was carried out by the World Bank during appraisal of the GEQIP project in 2008. This focused on the Federal MoE and implementing entities in the project. Risks were assessed as substantial with respect to the legal framework and high with respect to structures for procurement management. The following were among the mitigation measures that were agreed during appraisal and where capacity continues to be built: o Conduct regular procurement supervision and an annual procurement audit o Recruit additional staff at federal and regional levels to assist with procurement o Ensure procurement training for key staff Procurement for the RBA pilot under the country’s financial management and procurement systems Under an RBA approach, it is not possible to identify upfront which, if any, goods and services will be procured, and who would procure them. Given the amounts of money involved and the way in which the MoE is proposing to allocate them, it is likely that most of the expenditure will be on softer inputs such as training, or small purchases of goods below the World Bank international procurement thresholds. The evaluation will track and feedback on how the money is used and this will feed into the lesson learning. B. Value for money through procurement Any procurement undertaken through the pilot will use GoE procurement guidelines and process. These guidelines include measures to ensure value for money in both the procurement of goods and services 4. Financial Case A. How much it will cost The expected cost of this programme is up to £30 million over three years. The approximate breakdown of these costs by year (generated by the modelled estimates) is as follows: 2011/12 Nil 2012/13 £8,000,000 2013/14 £9,000,000 2014/15 £10,000,000 Specific issues exist around predicting payments based on an RBA approach. Some work has been done to model projections related to the price and likely results in order to reduce the risk. However, it is conceivable that results could either exceed or fall short of expectations resulting in either significant overspend or underspend. DFID is proposing to set an annual financial ceiling for the project of £10 million. However, there is a risk that in year 3 the results may exceed the financial ceiling. If this were to happen, we would seek to secure additional resources from within the DFID Ethiopia Programme budget. In the event of an under spend, we would reallocate funding to another sector or programme within the DFID Ethiopia programme portfolio. Additional funds of up to £1.5 million will be required for data verification and impact evaluation (see Business Case at annex B). B. How it will be funded: capital/programme/admin The programme will be funded from programme resources, and has been budgeted for in the Operational Plan for DFID Ethiopia (2011 – 2015). The planned resources for the next three years are within the current spending round period (to 2015). There are no contingent or actual liabilities. C. How funds will be paid out Funds will be paid to the Federal Ministry of Education in arrears based on annually verified results. Payments will be governed by the terms of the formal aid exchange (MoU) between DFID and the Ministry Payments for directly procured services (evaluation and data verification) will be made directly to the service providers based on agreed milestones and will be governed by the terms of the relevant contracts. These are covered by the evaluation and verification business case. D. How expenditure will be monitored, reported, and accounted for D1 Assessment of national financial risk and fraud Results rather than finances are the main subject of monitoring, reporting and audit under the proposed RBA pilot. This is because payment to the MoE can only be made once reported results are verified through an independent process. The flow and use of funds is of interest to the independent evaluation of the project rather than as a condition for payment. Nevertheless, we judge the countries public financial management systems to be good. The 2010 Ethiopia Public Expenditure and Financial Accountabilitylii (PEFA) review concluded that overall the public financial management systems and processes were functioning well by international standards. Several weaknesses were identified, but the conclusion was that these areas are being addressed adequately by the Government’s Expenditure Management and Control Programme. Similarly, the DFID 2010 Fiduciary Risk Assessment (FRA)liii assessed the overall fiduciary risk as moderate with a positive trajectory of change and a credible programme of financial management reform currently in place. Fiduciary risk in general and corruption risk in particular is considered lower in Ethiopia compared with other countries at a similar stage of development. A recent study of corruption in Ethiopialiv concludes that perceived corruption risks in Ethiopia’s health and education sectors are lower than those typically encountered in many developing countries as well as in other sectors within the Ethiopian public administration. A range of accountability systems are in place in the sectors, which are particularly strong on the supply side (e.g. internal audit systems and vertical accountability to the various levels of the administration). Although RBA finds will be difficult to track once mixed with other MoE funds, DFID will have access to MoE ‘s internal audit reports. D2 Monitoring MoE will announce the results and the regional allocation at the Annual Education Conference. MoE will also develop guidelines for how the additional money should be utilised at regional level. Additional financing will be transferred from MoE to the regional bureaus through existing Bank accounts. The MoE is planning to ask regions to report on how the money was used at the subsequent Annual l Education conference. Financial accounting, reporting and auditing will follow government guidelines as described below. In line with RBA principles, DFID-E will not ask GoE to track the additional money separately within the system. The evaluation will seek to understand how the additional money affects resource allocations and priorities at lower levels. D3 Accounting The GoE’s accounting policies and procedures will be used for accounting for the project. The GoE follows a double entry bookkeeping system and modified cash basis of accounting. This is documented in the GoE’s accounting manual. This has been implemented at the federal level and in many regions. The main elements of the ongoing accounting reform are the adoption of (i) a comprehensive Chart of Accounts consistent with the budget classification; (ii) a system of ledgers accommodating all types of accounts (including transfers, assets, liabilities and fund balance in addition to revenues and expenditures); (iii) double entry book-keeping (thus, self balancing set of accounts); (iv) a system of control of budgetary commitments (recording commitments as well as actual payments); (v) modified cash basis transaction accounting; and (vi) revised monthly report formats to accommodate double-entry book-keeping and commitment control and permit better cash control. The GoE’s accounting manual provides detailed information on the major accounting procedures, including controls. If regions use additional money to enhance school grants, a guideline has been developed and rolled out to all schools and ABE Centres. A simple columnar cash book in a standardised format should be kept and supporting documents should be maintained for receipts collected and payments made by schools for all their funds (i.e. school grants provided by GoE and funds raised by the community). The PTA/Community exercises oversight over school funds. Schools should submit a copy of their cashbook and supporting documents quarterly to the Woreda Office of Finance and Economic Department (WoFED). D4 Financial reporting Existing financial reporting according to GoE procedures will apply along the following lines: MoE and Universities report monthly to MoFED Regional Bureaus and Colleges of Teacher Education report monthly to the regional bureaus of finance; and Woreda finance departments report monthly to zones who in turn report quarterly to regional Bureaus of finance, on all their expenditures. These reports include information such as trial balance; expenditures by line items (based on the GoE’s functional classification system), with a break-down by economic classification for each line item; details of cash and bank balances, and break-down of receivables and payables. A distinctive feature of results-based aid is that financing will be released based on verified results achieved each year. No additional financial reporting beyond regular reports is envisaged although how funds are spent will be monitored for learning purposes as part of the impact evaluation. The government’s financial management systems were assessed by the World bank as part of the GEQIP Appraisal process and judged to be robust enough to use for GEQIP financing (financing channeled through the sector is subject to Ministry of Finance oversight and reporting requirements) D5 Auditing The external audit is carried out by the Office of Federal Auditor General (OFAG). Internal audit are carried out by the internal audit departments of the respective entities (MOE, Universities, REBs, CTEs). In addition, MoFED, BoFEDs and WoFEDs perform internal audit including an assessment of whether the budget utilisation is in line with the intended purposes. Furthermore there are inspection departments at the MoFED and BoFEDs with a role of ensuring quality of internal audits at the Ministries at Federal level and Sector bureaus at region level, following up on the audit recommendations noted by audit reports and providing training and improving manuals. D6 Costs related to financial management All costs related to financial management will be the responsibility of the GoE as per their regular system of accounting and reporting. D7 Asset Management Assets under this programme can not be attributed to DFID, nor can DFID track or monitor them given that funds will be mixed with government financing. Therefore, the assets will be owned, monitored and controlled by the various GoE implementing entities involved in this programme. 5. Management Case A. Oversight Overall oversight of the programme will be the responsibility of the Planning and Resource Mobilisation Process Owner in the Ministry of Education. The Minister of Education himself has taken a direct interest in the programme. The Ministry of Finance are aware of the pilot and interested in tracking the impact on aid effectiveness. At decentralised levels of the systems, all eleven regions of Ethiopia will have responsibility for overseeing resources transferred through the RBA programme (if the federal ministry decides to allocate to that level). Regions may further allocate funds to woredas and schools to generate incentives at local levels. It is envisaged that all these stakeholders will play a key role in ensuring that results are achieved and in deciding how funds are allocated. A key aim of results-based aid is to increase local accountability, e.g. to citizens. It is envisaged that parent-teacher associations will also play a role in this regard, including in the verification of data, if additional funds reach schools. The RBA will take account of transparency in the sector and will include clear statements in the Memorandum of Understanding with the Ministry of Education about how they will communicate access criteria to the education institutions at various tiers of government. The independent evaluation will undertake an ex-post assessment to verify the effectiveness of the system and to ensure value for money. B. Management B1 Management processes and structure within DFID This programme will be managed by a DFID Education Adviser based in the DFID Ethiopia. He/she will meet on a periodic basis with the Ministry of Education’s Planning and Resource Mobilisation Owner to receive updates on progress of the project. He/she will also attend the Annual Education conference where it is anticipated that the Minister of Education will make a public announcement about the regional allocation from the RBA. The adviser will lead on the dialogue with MoE on the results of the annual verification process. A senior education adviser, partially seconded to the MoE as part of QESSP will provide additional advice and support. An advisory group will be established, including participation from the MoE, in order to oversee the conduct of the independent evaluation, ensure technical quality, and disseminate results as seen fit. B2 GoE management MoE, in collaboration with MoFED, will be responsible for managing the allocation of the additional resources to the eleven regions and to universities who deliver training for secondary teachers. The regional bureaus of education will manage further transfers to woredas and schools through BoFEDs and WoFEDs and will also be responsible for any regional expenditure for activities such as capacity building. C. Conditionality Although RBA pays by results, the UK’s overall conditionality will still apply. If any of the following are breached, then the payment could be suspended even if the results are met: (i) poverty reduction and the millennium development goals (ii) respecting human rights and other international obligations and (iii) improving public financial management, promoting good governance and transparency and fighting corruption; and (iv) strengthening domestic accountability The disbursement of RBA funds will vary: the more results achieved by GoE the more funds will be released (up to a ceiling of £10m per year). We have provided some estimates of disbursements in the appraisal of option 3. Any reduction in annual disbursements from those estimates will not constitute a breach of conditionality. E. Monitoring and Evaluation The separate business case (see Annex B) for independent verification and evaluation of this pilot sets out plans for monitoring and evaluation and presents the appraisal of different option considered for this purpose. In summary, this project will be monitored and evaluated in three main ways. First, it will be monitored through the GoE regular system of data collection, which includes federal scoring and publication of grade 10 examination results annually. These results are published in the Annual Statistical Abstract. It is anticipated that the project will help to strengthen these systems. The main outcome and output indicators to be tracked are set out in the logical framework. At the outcome level the key indicators of interest are the numbers of pupils sitting and passing the grade 10 examination. The pilot will monitor changes in the number of pupils (dis-aggregated by sex) sitting and passing in each regional state from the 2011 baseline. The nature of the pilot will make it difficult to determine from this information alone the specific impact on sitting and pass rates of results based payments. As such monitoring of the selected output indicators is also critical. A key measure of the incentive effects of the pilot will be to monitor the extent to which government and regions introduce new policies or programmes in response. In addition to monitoring the extent of the introduction of new policies it will also be of interest to examine any differences in approach between regions and/or whether Government seeks to influence approaches at the federal level. At the output level the pilot will monitor the extent to which an incentive based funding instrument can drive more efficient use of existing resource. A key indicator of process will be the extent to which the overall proportion of secondary education funding is not significantly altered from the current position. Finally a measure of the pilot’s overall success will be the extent to which other stakeholders, including GoE and other donors, perceive RBA as being an effective instrument and whether it leads to similar arrangements either in the education sector or beyond. All of these questions will be examined more fully by the planned full-scale evaluation (see below) but the log-frame identifies a number of high level indicators which will provide a measure of real-time progress during the pilot life-cycle. Second, the government’s reported results will be independently verified. This work will involve verifying baseline data and conducting annual verification of results as a basis for accurate calculation of the aid to be paid to the MoE.The scope of the independent verification will not extend to reexamining students, but it will at a minimum include a cross-check of students who sit the examination against school records in a sample of schools and a review of the cut off point for passing the examination (the pass mark is norm referenced and has been subject to fluctuation over the past five years, so it will be important to agree this with respect to verifying passers). Thirdly, given that it is an innovative pilot the whole project will be subject to a rigorous evaluation that will test the assumptions and linkages on the project’s Theory of Change presented in the appraisal case above. The evaluation will seek to generate evidence by answering the following four broad questions: 1. Did the RBA pilot increase educational results? This will require robust demonstration of additional results achieved. This is at the heart of the impact evaluation and requires the identification of a plausible and credible counterfactual. This differs significantly from the independent verification of results which is focused on determining the extent to which the results reported by government are accurate and reliable. This element of the evaluation is focused on establishing rigorously that the results achieved as a consequence of the RBA pilot were greater than would have been achieved without the RBA pilot. 2. What were the processes that led to these results? This will require a qualitative assessment of the incentives created at various levels of government including federal ministries, regional bureaus, Woredas and schools and how the different actors react to these. Specific focus should be placed on how a national-level incentive has ‘trickled down’ to regional, Woreda and school levels. It would be useful to examine if these incentives extended beyond the formal state sector, e.g. to alternative basic education and non-governmental education providers. It is expected that the evaluation should identify and document best practices in terms of school initiatives and policy responses. The contractor will be expected to assess the level at which incentives were set. This should include analysis of what evidence there is that higher incentives, e.g. for girls and in emerging regions produced better results. The contractor will be expected to present and analyse any evidence of the optimum level of incentive in terms of both increasing results and ensuring value for money. 3. How did the RBA pilot impact on aid relationships? This element of the evaluation should cover the expected effects of the RBA pilot on relationships between GoE and DFID, and between GoE, DFID and other development partners. The contractor should focus particularly on interactions between the RBA pilot and DFID’s policy dialogue with GoE. In what way did DFID’s policy dialogue contribute to or hinder results achieved? In what way did the RBA pilot increase or reduce DFID’s policy dialogue with GoE? 4. What were the unintended consequences of the RBA pilot? Unintended consequences, both positive and negative including effects on equity, diversion of existing financial resources away from other sectors various forms of ‘gaming’, including ‘cheating’ in the Grade 10 examinations. Cheating should be identified through the data verification processes but will be reviewed as part of the evaluation. F. Risk Assessment The key risks associated with the proposed pilot are identified and analysed in Table 7 (where 1 is low and 5 is high). Table 7: Identified risks associated with results-based aid pilot in education sector in Ethiopia Risk Probability 1–5 Implementation/operational risks The project does not generate sufficient incentives to drive up results The baseline is set too low and the project pays for results that would have been achieved anyway Overspend or underspend Political risks Unearmarked funds paid on the basis of results achieved could be perceived as being used for ‘political’ purposes Diversion of efforts from other sectors or from other subsectors in 5 Impact 1-5 5 5 4 5 5 3 5 2 5 Mitigation Residual Probability Residual Impact Including incentives for both sitters and passers, focusing on the education sector only, and using an adjusting baseline have all been used to ensure that incentives are generated. Medium Medium Medium Medium DFID is proposing to set an annual financial ceiling for the project of £10 million. However, there is a risk that in year 3 the results may exceed the financial ceiling. If this were to happen, we would seek to secure additional resources from within the DFID Ethiopia Programme budget. In the event of an under spend, we would reallocate funding to another sector or programme within the DFID Ethiopia programme portfolio. High Medium Making an agreement with the Ministry of Education, where DFID-E has existing dialogue and tracking how the additional financing is used by the Government and the types of programmes and policies which it generates through the evaluation. The pilot is being delivered within the framework of the government of Ethiopia’s broad based poverty reduction plan and sectoral plan Low Medium Low Medium Modelling of the results and the use of an adjusting baseline are expected to minimise this risk education with a clear framework and targets. This will be monitored through the evaluation process. Fiduciary risks Fiduciary risk 5 3 Corruption 2 5 Overspend or underspend 5 5 RBA does not place any additional financial reporting demands on GoE. The financing will flow through regular government financial systems within the education sector. Risks are assessed as medium with respect to use of government systems and the evaluation will include a review of the financial management systems. There are no additional monitoring requirements for the additional financing, but the independent evaluation will monitor how funds are used. The MoU will include commitments to transparently communicate how incentives will be allocated to education institutions DFID is proposing to set an annual financial ceiling for the project of £10 million. However, there is a risk that in year 3 the results may exceed the financial ceiling. If this were to happen, we would seek to secure additional resources from within the DFID Ethiopia Programme budget. In the event of an under spend, we would reallocate funding to another sector or programme within the DFID Ethiopia programme portfolio. High Medium Low Medium High Medium G. Results and Benefits Management The outcome indicators for the programme have been modelled based on past performance (based on data on for grade 10 sitting and passing over the past three years that are presented in the annual statistical abstract). The model estimated a year on year increase in passers and sitters with and without RBA as follows: Average increase in sitters and passers with and without RBA Passers Without RBA With RBA Emerging Male 11.4 17.1 Female 13.1 23.6 Non emerging Male 7.7 10.8 Female 12.9 22.6 Sitters Without RBA 2.7 7,4 1.9 7.7 With RBA 7.7 15.4 5.9 15.2 This model then yielded estimates for the number of additional passers and sitters that would be generated by the results based financing. The assumptions for the size of the effect were estimated based on a combination of the known results and the amount of the additional financing. Please refer to the model which is annexed (Annex C) to the Business Case. The projections are therefore not real targets in the conventional sense of the term. These are results that are expected to be incentivised by the project. There is a possibility that these could be over or under estimates and consequently DFID has set an upper limit for payment in any one year of £10 million. The actual results achieved will be managed and monitored through the verification process. This will seek to ensure that DFID only pays for actual passers and sitters Similarly, the output indicators are not directly attributable to DFID spending. It is anticipated that these actions will occur as a response to the incentive to reward the government for verified increases in grade 10 sitting and passing. The outputs identified are derived from the Theory of Change. The baselines in the log frame are all based on projections and numbers will need to be updated once we have actual data and results for 2011. The independent evaluation of the project will monitor the extent to which the project is incentivising the government to increase passers and sitters, including its impact on equity, and will make recommendations to government and to DFID based on the findings. References i Birdsall, N. and Savedoff, W. (2010) Cash on Delivery: A new approach to foreign aid. Centre for Global Development, Washington DC ii Bongaarts, J. (Nov. 2003) Completing the Fertility Transition in the Developing World: The Role of Educational Differences and Fertility Preferences in Population Studies, Vol. 57, No. 3, pp. 321-335, iii DFID Ethiopia (2011) Operational Plan 2011 – 2015, DFID Ethiopia, Addis Ababa iv Federal Democratic Republic of Ethiopia (2010) Health Sector Development Programme III, Annual Performance Report: EFY 2002 (2009/10). Ministry of Health, Addis Ababa v Devereux et al (2006) Ethiopia’s Productive Safety Nets Programme. Trends in PSNP Households with Targeted Transfers. Institute of Development Studies, Sussex. vi Federal Democratic Republic of Ethiopia (October 2010) Education Statistics Annual Abstract: 2009 - 2010. Ministry of Education, Addis Ababa vii OECD.STAT: data extracted on 20 Jul 2011 07:17 UTC (GMT) viii Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, World Population Prospects: The 2010 Revision, http://esa.un.org/undp/wpp/index.htm, Wednesday July 20, 2011; 4:33:42 AM ix Education For All (2011) Global Monitoring Report, Statistical Tables 2011 http://www.unesco.org/new/en/education/themes/leading-the-international-agenda/efareport/statistics/statisticaltables/,Accessed 27 July 2011 11:00 x ibid xi Federal Democratic Republic of Ethiopia (2010) Education Statistics Abstract 2009 – 2010. Ministry of Education, Addis Ababa, Ethiopia xii Birdsall, N. and Savedoff, W. (2010) Cash on Delivery: A new approach to foreign aid. Centre for Global Development, Washington DC xiii Birdsall, N. Cash on Delivery Aid: Exploration of Feasibility in Ethiopia. Based on Addis Ababa Visit, December 11, 2009 xiv Birdsall, N. and Savedoff, W. (2010) Cash on Delivery: A new approach to foreign aid. Centre for Global Development, Washington DC xv UNESCO (2010) EFA global Monitoring Report 2010 Reaching the Marginalised. UNESCO, Paris xvi DFID (April 2011) Structural Reform Plan, 2011 – 2015 http://www.dfid.gov.uk/About-DFID/Finance-andperformance/DFID-Business-plan-2011---2015/ xvii DFID-Ethiopia Operational Plan 2011 – 2015 (unpublished) xviii Federal Democratic Republic of Ethiopia (November 2010) Growth and Transformation Plan 2011 – 2015. Minsitry of Finance and Economic Development, Addis Ababa xix Federal Ministry of Education (2011) Education Sector Development Programme (ESDP) IV 2010/11 – 2014/15, Addis Ababa xx DFID (2010) Primer on Results-based Aid and Results-based Financing. DFID London xxi Federal Democratic Republic of Ethiopia (2010) op cit xxii http://data.worldbank.org/indicator/NY.GDP.PCAP.CD/countries xxiii Hanushek, E. and Wosman, L. (2007) Education Quality and Economic Growth. The World Bank, Washington DC xxiv Jennings, M., Mekonnen, E., and Gudissa, D. (April 2011) Social Assessment for the Educaiton Sector, Ethiopia Social Developmetn Direct, London xxv Birdsall and Savedoff (2010) ibid xxvi Pearson, M., Johnson, M. and Ellison, R. (2010) Review of Major Results-based Aid (RBA) and Results-based Financing (RBF) Schemes. xxvii xxviii Ibid Brenzel, 2009 Taking Stock: World Bank Experience with Results-Based Financing, (RBF) for Health. World Bank, Washington DC. xxix Steer, L. and Baudienville, G. (2010) What Drives Donor Financing of Basic Education? Overseas Development Institute, Project Briefing 39 xxx Ravishankar, V.J. (2010) Ethiopia Education Public Expenditure Review. Federal Democratic Republic of Ethiopia xxxi Federal Democratic Republic of Ethiopia (2010) op cit xxxii Ibid xxxiii Ethiopian Economics Association (2011), Report on the Ethiopian Economy: Financial Sector Developments in Ethiopia – Performance, Challenges and Policy Issues. xxxiv Psacharopoulos, G. and Patrinos, H.A. (2002) Returns to investment in education: A further update. World Bank Policy Research Working Paper No. 2881 xxxv World Bank (2005). Education Ethiopia: Strengthening the Foundation for Sustainable Development. Washington DC. World Bank xxxvi Tilahun Temesgen (2005), Determinants of Wage Structure and returns to education in Developing Countries: Evidence from Linked Employer- Employee Manufactiuring Survey Data for Ethiopia, Seoul Journal of Economics 2005, Vol. 18, No. 4. xxxvii Tilahun Temesgen (2005), Determinants of Wage Structure and returns to education in Developing Countries: Evidence from Linked Employer- Employee Manufactiuring Survey Data for Ethiopia, Seoul Journal of Economics 2005, Vol. 18, No. 4. xxxviii Verwimp, P. (1996) Estimating returns to education in off-farm activities in rural Ethiopia. Ethiopian Journal of Economics 5(2): 27 - 56 xxxix Wodhay, A. (1998) Returns to schooling in Ethiopia. The case of the formal sector. Human Resource Development in Ethiopia, EEA Addis Ababa xl Krishnan, Pramila, Tesfaye Gebre Selassie, and Stefan Dercon. The Urban Labour Market During the Structural Adjustment: Ethiopia 1990-1997. Working Paper 98-9,Center for the Study of African Economies, Oxford University, April 1998. xli World Bank (2005) Ethiopia Well-being and Poverty in Ethiopia: The role of agriculture and Agency. Washington D.C., World Bank. xlii Jimenez, E. and Patrinos, H. (2008) Can cost benefit analysis guide education policy in developing countries? World bank Policy Research Working Paper No. 4568 Washington DC: World Bank xliii Jejeebhoy, S. (1995) ‘Women's Education, Autonomy, and Reproductive Behaviour: Experience from Developing Countries.’ New York: Ox ford University Press xliv Basu, A., and Stephenson, R. (2005) ‘Low levels of maternal education and the proximate determinants of childhood mortality: a little learning is not a dangerous thing.’ Social Science & Medicine 60(9): 2,011-2,023. xlv Streatfield, K., Singarimbun, M., Diamond, I. (1990) ‘Maternal education and child immunization.’ Demography, Vol. 27, No. 3, pp. 447-455 xlvi Moestue, H., Huttly, S. (2007) ‘Adult education and child nutrition: the role of family and community.’ Journal of Epidemiology and Community Health 2008; 62:153–159. xlvii . Joint Evaluation of General Budget Support 1994-2004 – Effects Of General Budget Support (2007) IDD, Birmingham. xlviii Pearman R. (2010), Economic Appraisal on General Budget support, CBA report V.44.doc, DFID xlix NPV is the net present value. It is the difference between the present value of cash inflows and cash outflows. NPV compares the value of a dollar today to the value of that same dollar in the future, taking inflation and returns into account. If the NPV of a prospective project is positive, it should be accepted. However, if NPV is negative, the project should probably be rejected because cash flows will also be negative. The NPV calculation finds the net present value using a predefined discount rate. l IRR is the internal rate of return on an investment. IRR finds the discount rate that makes the NPV equal to zero. The discount rate is the cost of borrowing or using money for investments. The decision to accept or reject the purchase depends on the whether the internal rate of return is higher than the discount rate. The decision criteria for these projects is to accept the project if the IRR is higher than the discount rate or the cost of borrowing. li World Bank (November 2010) Ethiopia Country Procurement Assessment Draft Report. World Bank, Addis Ababa, Ethiopia lii EU PEFA (September 2010) Public Expenditure and Financial Accountability Review, Quality Assured by PEFA secretariat. liii In draft Hawkins and Giorgis (2010) Fiduciary Risk of the Federal Democratic Government of Ethiopia, DFID, Addis Ababa liv In draft Hawkins and Giorgis (2010) Fiduciary Risk of the Federal Democratic Government of Ethiopia, DFID, Addis Ababa