This project is funded by the European Commission, Research Directorate General as part of the 7th Framework Programme, Theme 8: Socio-Economic Sciences and Humanities. Grant Agreement no: 225 281 Measuring Global Value Chains with the WIOD (World Input-Output Database) Marcel Timmer Groningen Growth and Development Centre Universityy of Groningen g (presentation at OECD conference, Paris, 21 September, 2010) Ways to measure GVCs ¾Case study ¾Firm-level surveyy data ¾International trade data ¾Input-output ¾Input output tables, various initiatives ¾OECD ¾IDE JETRO ¾IDE-JETRO ¾GTAP ¾WIOD (World Input-Output Input Output Database) Documentation and info Dedicated website to WIOD project at www.wiod.org www wiod org This presentation based on paper: World Input-Output Database (WIOD): Construction, Challenges and Applications Prepared by Abdul Azeez Erumban Reitze Gouma Bart Los Robert obe t Stehrer Ste e Umed Temurshoev Marcel Timmer Gaaitzen de Vries Aim of WIOD Time-series of input-output tables with supply broken down by origin: domestically produced or imported (by partner country) Satellite accounts: Socio-economic Socio economic (labour and capital input by type) Environmental (energy, emissions to air and water, natural resources)) Period from 1995 to 2006: 27 EU countries and 13 other major countries 35 industries and 59 products List of Countries • EU-27 non EU: • plus13 non-EU: - Canada - United States - Brazil - Mexico - Turkey - Russia - China - India - Japan - South Korea - Taiwan - Indonesia - Australia National Input-Output (IO) Table Industry y (industry by industry type) Rest of World Total Industry Final use Total Intermediate use Domestic Exports Final use Total Use Value added Output Imports Total supply World input-output table (3 regions regions, industry-by-industry industry by industry type) Country A Country B Intermediate use Intermediate use Intermediate use Industry Industry Industry Final domestic use Final domestic use Final domestic use Total Industry Rest of World (RoW) Rest of World Intermediate use of domestic output Intermediate Intermediate Final use by Final use of Final use by use by B of use by RoW of RoW of Output domestic B of exports imports from imports from exports from in A output from A A A A Industry Country B Country B Intermediate use by A of imports from B Final use by Intermediate Intermediate Final use by Final use of Output use by RoW of RoW of use of A of exports domestic in B imports from exports from domestic from B output p B B output Industry Country A Country A Rest of World Intermediate use by A of imports from RoW Intermediate use by B of imports from RoW Value added Output in A Value added Value added Output in B Output in RoW Intermediate Final use by Final use by Final use of use of A of exports B of exports domestic domestic from RoW from RoW output output Output in RoW WIOD: What What’s s new? Time-series Time series benchmarked on National Accounts data National supply and use tables as the basis Linked with bilateral international trade data Including trade in services Improved allocation of imports to use category (BEC-like) Socio-economic satellite accounts (labour by skill; capital by type) Constant price tables (B (Based d on official ffi i l statistics t ti ti with ith maximum i off ttransparency iin calculations) Dataflows and construction steps in WIOT Public statistics For each country International trade statistics (time-series) National accounts (time-series) Supply and use tables (infrequent) Total Final demand by y type yp Total Export/Import Value added by industry Gross output by industry Supply pp y (Basic ( price) p ) Use (Purchasers' price) Imports p and exports p on bilateral basis - of goods - of services Supply (Basic price) Use (Basic price) Valuation matrix Bilateral import shares by use Harmonisation Estimation Time series for each country Estimation Time series for each country Supply S l (Basic (B i price) i ) Valuation matrix Domestic use (Basic price) Import use (Basic price) by delivering country Estimation Time series World input-output tables Methodologies g 1. Time-series of SUTs at p purchasers’ prices p ¾ Extrapolation and benchmarking of SUTs to National Accounts statistics, based on SUT-RAS method (Temurshoev and Timmer 2009) 2. From SUTs at purchasers’ prices to basic prices ¾ Construction of net tax, trade and transport margin matrices 3. From national to inter-country SUTs ¾ Breakdown of Use table into domestic and imported (by delivering y) country) ¾ Relying on imports from international trade statistics ¾ Not simple proportional method, but distinction between intermediate consumer and capital goods intermediate, goods. This is based on a new classification of HS6-digit products to end-use ¾ (In later stage use import tables from NSIs if available) Methodologies g 4. From SUTs to inter-country input-output table ¾ Technology assumptions (on product sales or production) p to RoW is calculated as residual and can ¾ Rest of World: exports become negative 5 From current price to constant price tables 5. ¾ National deflators based on industry gross output deflators, and row wise deflation of SUT. At later stage add in more information from national accounts ¾ International deflators (PPPs): World Bank ICP expenditure PPPs adjusted and allocated to industries (for 2005) The iPod example (Linden, Dedrick & Kraemer, 2009 ) Linden Dedrick & Kraemer 2009 ) Stylised I-Pod value chain Japan Hard drive Consumer USA Retail CHINA Assembly Korea Memory USA Processors USA Apple Others Battery I-Pod value chain (in $) Consumer Retail price Factory price 299 150 Japan Hard drive 96 USA Retaill CHINA Assembly bl 69 5 USA Apple 80 Korea Memory 3 USA Processors 13 Others Battery 33 Breakdown of iPod $299 retail price Distribution and reital, $69.00 Japan, $96.00 Apple, $80.00 Korea, $2.50 Other, $33.00 China, C a, $5.00 USA $13 USA, $13.50 50 Some lessons ¾ I-pod I d iis end-result d lt off fragmented f t d value l chain h i ¾ Made in China does not mean that China captures most of the value. Japan and US do. ¾ Assembly taking place in China by low-skilled workers at low wages adds little value to the product ¾ Export statistics might be misleading ($150 from China to US). It is the value added content of trade that counts (only $5). ¾ BUT How to generalise this (and other) case case-studies? studies? ¾ Firm-level data with information where intermediate inputs are being sourced is scarce. ¾ Value chains are complex! Value chain in value chain Japan Hard drive Hard drive CHINA I‐pod Assembly Korea Memory USA Processors Others Battery CHINA HDD Assembly CHINA Japan Philippines Others WIOD approach to global value l chain h i analysis l i ¾ Using U i industry i d t d data t from f National N ti l St Statistical ti ti l IInstitutes tit t (NSI (NSIs)) that th t is collected and made consistent within the framework of the National Accounts ¾ Relying on input-output techniques to measure the direct and p into p production indirect inputs ¾ Decompose contribution of each country to value chains into value added by factor inputs: ¾ various types of labour (low-, medium-, and high-skilled) ¾ Physical capital. ¾ Provide trends over time Factor content measurement number of countries ((C), ), industries ((N)) and factors ((F)) B = (direct) factor inputs per unit of gross output (FC x NC) (I-A)-1 = Leontief inverse of world IO table (NC x NC) The factor inputs required per unit of final demand (both direct and indirect): B* = B (I-A) (I A)-1 B* = factor inputs per unit of final demand (FC x NC) B* contains coefficients. The amounts of factor inputs that can be attributed to observed levels of final demand can be found by K=B* D in which D is an NC*NC diagonal matrix with final demand levels and K is the FC*NC matrix of amounts of factor inputs attributed to each of the NC final demand levels. levels Example of Inputoutput relations GERMANY REST OF WORLD Final consum. Final consum. Car manufact. All sectors Other sectors Global Value Chain of Final Output from German transport equipment manufacturing (1995 ) 100 80 USA KOR JPN CHN ROW Other EU USA ¾Total final expenditure (domestic KOR JPN CHN and foreign) on output from ROW German automotive industry ( sales) (≤ l ) Shares (% %) Other EU ¾German share is partly due to f t inputs factor i t deployed d l d iin automotive industry 60 40 DEU 20 0 1995 ¾But also in other German industries thatDEU deliver intermediate inputs to automotive industry ¾Foreign countries capture share due to delivery of intermediate inputs (direct 2006 or indirect) ¾Nationality is based on location of production factors,, not ownership p p Global Value Chain of Final Output from German transport equipment manufacturing (1995 and 2006) 100 80 USA KOR JPN CHN ROW USA KOR JPN CHN ROW Other EU Shares s (%) Other EU 60 40 DEU DEU 20 0 1995 2006 Global Value Chain of Final Output from German transport equipment manufacturing (1995 and 2006) 100 ROW High skill labour ROW High skill labour ROW Med skill labour ROW Med skill labour ROW Low skill labour 80 ROW NIT Capital ROW Low skill labour ROW IT Capital O Own High Hi h skill kill labour l b ROW NIT Capital Share es (%) ROW IT Capital 60 Own High skill labour Own Medium skill labour 40 Own Medium skill labour Own Low skill labour Own Low skill labour 20 0 Own NIT Capital Own NIT Capital Own IT Capital Own IT Capital 1995 2006 Global Value Chain of Final Output from transport equipment manufacturing (Germany, China, Japan and USA 2006) 100 ROW High skill labour ROW High skill labour ROW Med skill labour 80 ROW Med skill labour ROW Low skill labour ROW Low skill labour ROW Capital ROW Capital Own High g skill labour Share es (%) Own Medium skill labour 60 ROW High skill labour ROW Med skill labour ROW Low skill labour ROW High skill labour ROW Med skill labour ROW Low skill labour ROW Capital ROW Capital Own High skill labour Own High skill labour Own High skill labour Own Medium skill labour Own Low skill labour 40 Own Medium skill labour 20 Own Low skill labour Own Medium skill labour Own Low skill labour Own Low skill labour Own Capital Own Capital Own Capital O Own Capital C it l 0 DEU CHI USA JAP Global Value Chain of Final Output from Global transport equipment manufacturing (1995 and 2006) 100 JPN JPN 80 USA USA Share es (%) DEU 60 KOR DEU KOR 40 Other EU Other EU ROW 20 ROW CHN 0 CHN 1995 2006 Global Value Chain of Final Output from Global transport equipment manufacturing (1995 and 2006) 100 Low skill labour Low skill labour 80 Medium skill labour Shares s (%) Medium skill labour 60 High skill labour 40 High skill labour 20 NIT Capital 0 NIT Capital IT Capital IT Capital 1995 2006 Global Value Chain of Final Output from Global textile manufacturing (1995 and 2006) 100 Other EU Other EU USA 80 Share es (%) USA 60 KOR JPN DEU KOR JPN ROW DEU 40 ROW 20 CHN CHN 0 1995 2006 Global Value Chain of Final Output from Global textile manufacturing (1995 and 2006) 100 OECD Other 80 OECD Other Shares s (%) OECD Low skill labour ROW Capital 60 OECD Low skill labour 40 ROW Other labour ROW Capital ROW Low skill labour ROW Other labour CHN Capital 20 0 ROW Low skill labour CHN Other labour CHN Capital CHN Other labour CHN Low skill labour CHN Low skill labour 1995 2006 Issues on the table ¾ Global value chain is in nominal value ($) ($). Changes g can be due to changes in factor prices and changes in factor quantities. E.g. in German automotive case: ¾ Is the wage g of German medium-skilled workers relative to other German (and foreign) workers squeezed? ¾ Or is their employment going down? ¾ We have the p price data to make the breakdown ¾ Ownership versus location: ¾ Who owns the returns on capital? Disconnect in case of foreign ownership ¾ Less of an issue for labour compensation ¾ Capital compensation is partly payment for investment made in the past past. E E.g. g Chinese textile makers buy Japanese machinery machinery. In dynamic models we can trace this. ¾ Decomposition techniques are silent on causality Factor content of net exports, China (1995 and 2006) 300,000 1995 259,888 2006 250,000 200,000 Millio ons of US$ 150,000 100,000 67,828 49,465 50,000 , 0 5,943 Capital 50 000 -50,000 -100,000 Low skill Medium skill -29,412 -7,106 High skill -20,957 -86,224 -150,000 Factor content of net exports is defined as factors needed to satisfy domestic final demand minus available factors Factor content of net exports, China (1995 and 2006) 160,000 300,000 1995 259,888 2006 143 464 143,464 140,000 250,000 Millions of US$ $ Millions of US$ $ 100,000 67,828 49,465 50,000 5,943 Capital Low skill -50,000 -150,000 Medium skill -29,412 29 412 80 000 80,000 40,000 23,539 21,763 20,000 -7,106 High skill -20,957 0 -86,224 -20,000 China Capital -3,730 Low skill Medium skill Germany Factor content of net exports, USA (1995 and 2006) 0 Capital 80,244 -50,000 60,000 31,625 30,130 22,888 19,261 20,000 -3,571 Medium-18,946 skill -3,315 High skill -21,817 -52 52,929 929 -100,000 48,493 Low skill -22,342 -95,932 -150,000 Millions of US$ 80,000 High skill -10,620 -13,091 -20,567 -40,000 100,000 Millions of US$ 71,217 60,000 Factor content of net exports, Japan (1995 and 2006) 40,000 2006 100,000 150,000 -100,000 1995 120,000 200,000 0 Factor content of net exports, Germany (1995 and 2006) -200,000 0 -20,000 Capital Low skill Medium skill High skill -16,354 -300,000 -40,000 -350,000 -60,000 -80,000 -100,000 -250,000 -73,679 Japan 1995 2006 1995 -400,000 -414,116 -450,000 USA 2006 Environmental applications li ti ¾ Environmental E i l satellite lli accounts: ¾ ¾ ¾ ¾ Energy use Greenhouse g gases ((CO2 and others), ) Ozone depleting gases Acidifying emissions to air ¾ Same input-output technique as for global value chain analysis. Now e.g. emissions per unit of gross output is used. ¾ Carbon C b ffootprint t i t off a country: t CO2 emitted itt d globally l b ll in i production to satisfy domestic final demand ¾ Carbon footprint minus available factors is emissions embodied in net trade Embodied CO2 emissions of final German domestic demand (1995 and 2006) 1,200,000 Emissions (k E kt CO2) 1,000,000 ROW ROW 800,000 600,000 GER 400,000 200,000 0 GER RUS Jap RUS Jap Chin Chin rest EU rest EU US US 1995 2006 Emissions embodied in net trade (China, Germany, US and Japan in 1995 and 2006) 2,000,000 1995 2006 1,566,311 Emissions ( (kt CO2) 1,600,000 1,200,000 800,000 599,100 400 000 400,000 0 Germany -202,041 -214,626 -400,000 Japan -303,564 -309,283 United States -359,133 -800,000 -1,200,000 -1,044,829 China Future work ¾ Data D t improvements i t ¾ Testing g by y users (p (parts p public autumn 2011;; full May y 2012)) ¾ Provide further analysis ¾ Decomposition D iti off changes h iin global l b l value l chains h i iinto t changes in technology and changes in demand ¾ Similarly for pollution indicators (C02 plus other GHG) ¾ Link to timing of WTO ascension and Kyoto-protocol participation ¾ Bring g in dynamic y IO-models ((investment)) ¾ Testing Heckscher-Ohlin-Samuelson theory Future work ¾ Data D t improvements i t ¾ Improving bilateral trade in services ¾ Constant price series ¾ National N ti ld deflators fl t ¾ Purchasing power parities for output and intermediate inputs ¾ Volume masures of labour and capital ¾ Improving factor input data for non non-OECD OECD countries (as part of work by World KLEMS consortium) ¾ Comparing our use-classification of trade flows with official import IO tables. g export p trade tables for Mexico and China ¾ Processing ¾ Testing by users (parts public autumn 2011; full May 2012) ¾ Provide further analysis ! Additional material Who is in WIOD? University of Groningen (The Netherlands) Institute for Prospective Technological Studies (Spain) Wiener Institut für Internationale Wirtschaftsvergleiche g ((Austria)) Zentrum für Europäische Wirtschaftsforschung (Germany) Österreichisches Institut für Wirtschaftsforschung (Austria) Konstanz University of Applied Sciences (Germany) The Conference Board Europe (Belgium) C CPB Netherlands Bureau ffor Economic Policy Analysis Institute of Communication and Computer Systems (Greece) Central Recherche SA (France) OECD (France) Columns in USE Table Code NACE 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 AtB C 15t16 17t18 19 20 21t22 23 24 25 26 27t28 29 30t33 34t35 36t37 E F 50 51 52 H 60 61 62 63 64 J 70 71t74 L M N O P Description Agriculture, Hunting, Forestry and Fishing Mining and Quarrying Food, Beverages and Tobacco Textiles and Textile Products Leather, Leather and Footwear Wood and Products of Wood and Cork Pulp, Paper, Paper , Printing and Publishing Coke, Refined Petroleum and Nuclear Fuel Chemicals and Chemical Products Rubber and Plastics Other Non-Metallic Non Metallic Mineral Basic Metals and Fabricated Metal Machinery, Nec Electrical and Optical Equipment Transport Equipment Manufacturing, Nec; Recycling Electricity, y, Gas and Water Supply pp y Construction Sale, Maintenance and Repair of Motor Vehicles Retail Sale of Fuel Wholesale Trade and Commission Trade, Except of Motor Vehicles Retail Trade, Except of Motor Vehicles ; Repair of Household Goods Hotels and Restaurants Inland Transport Water Transport Air Transport Other Supporting and Auxiliary Transport Activities; Activities of Travel Agencies Post and Telecommunications Financial Intermediation Real Estate Activities Renting of M&Eq and Other Business Activities Public Admin and Defence; Compulsory Social Security Education Health and Social Work Other Community, Social and Personal Services Private Households with Employed Persons Financial intermediation services indirectly y measured (FISIM) ( ) Total Final consumption expenditure by households Final consumption exp. by non-profit organisations serving households Final consumption expenditure by government Final consumption expenditure Gross fixed capital formation Changes in inventories and valuables Gross capital formation Exports Final uses at purchasers' prices Total use at purchasers' prices Columns in Use t bl table Description Code CPA 1 1 Products of agriculture, hunting and related services 2 2 Products of forestry, logging and related services 3 5 gp products;; services incidental of fishing g Fish and other fishing 4 10 Coal and lignite; peat 5 11 Crude petroleum and natural gas; services incidental to oil and gas extraction excluding su 6 12 Uranium and thorium ores 7 13 Metal ores 8 14 g and q quarrying y gp products Other mining 9 15 Food products and beverages 10 16 Tobacco products 11 17 Textiles 12 18 Wearing apparel; furs 13 19 products Leather and leather p 14 20 Wood and products of wood and cork (except furniture); articles of straw and plaiting mate 15 21 Pulp, paper and paper products 16 22 Printed matter and recorded media 17 23 Coke, refined petroleum products and nuclear fuels 18 24 Chemicals, chemical products and man-made man made fibres 19 25 Rubber and plastic products 20 26 Other non-metallic mineral products 21 27 Basic metals 22 28 Fabricated metal products, except machinery and equipment 23 29 Machinery and equipment n.e.c. 24 30 Office machinery and computers 25 31 Electrical machinery and apparatus n.e.c. 26 32 Radio, television and communication equipment and apparatus 27 33 Medical, precision and optical instruments, watches and clocks 28 34 Motor vehicles, vehicles trailers and semi semi-trailers trailers 29 35 Other transport equipment 30 36 Furniture; other manufactured goods n.e.c. 31 37 Secondary raw materials 32 40 Electrical energy, gas, steam and hot water 33 41 Collected and purified water water, distribution services of water 34 45 Construction work Rows in Use table (part 1) 35 50 Trade, maintenance and repair services of motor vehicles and motorcycles; retail sale of a 36 51 Wholesale trade and commission trade services, except of motor vehicles and motorcycle 37 52 Retail trade services, except of motor vehicles and motorcycles; repair services of person 38 55 H t l and Hotel d restaurant t t services i 39 60 Land transport; transport via pipeline services 40 61 Water transport services 41 62 Air transport services 42 63 Supporting and auxiliary transport services; travel agency services 43 64 Post and telecommunication services 44 65 Financial intermediation services, except insurance and pension funding services 45 66 Insurance and pension funding services, except compulsory social security services 46 67 Services auxiliary to financial intermediation 47 70 Real estate services 48 71 Renting services of machinery and equipment without operator and of personal and house 49 72 Computer and related services 50 73 Research and development services 51 74 Other business services 52 75 Public administration and defence services; compulsory social security services 53 80 Education services 54 85 Health and social work services 55 90 Sewage and refuse disposal services, sanitation and similar services 56 91 Membership organisation services n.e.c. 57 92 Recreational, cultural and sporting services 58 93 Other services 59 95 Private households with employed persons 60 Total 61 Cif/ fob adjustments on exports 62 Direct purchases abroad by residents 63 Purchases on the domestic territory by non-residents 64 Total intermediate consumption/final use at purchasers' prices 65 Compensation of employees 66 Other net taxes on production 67 Operating surplus surplus, gross 68 Value added at basic prices 69 Output at basic prices Rows in Use table (part 2)