Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Impact of aid for trade on trade costs and trade flows: selected research December 2015 Bangkok, Thailand Cosimo Beverelli (ERSD/WTO) Rainer Lanz (Development/WTO) 1 Content • What is aid for trade? • Aid for trade data and characteristics of aid for trade flows • Evaluating the effectiveness of aid for trade • Aid for trade and trade costs • Aid for trade and trade flows 2 What is aid for trade? - the Aid for Trade Initiative • Aid for Trade Initiative launched at the WTO Ministerial Conference in Hong Kong in 2005 • Objective: To help developing countries, in particular LDCs, to build traderelated infrastructure and supply-side capacity • Additional, predictable, sustainable and effective financing • Key elements in the operationalization of AFT • • • • Strengthening the "demand side” Strengthening donor "response" Strengthening the bridge between "demand" and "response“ Strengthening monitoring and evaluation • Biennial Global Reviews of Aid for Trade • 5th GR of AFT in 2015: “Reducing Trade Costs for Inclusive, Sustainable Growth” 3 What is aid for trade? – aid for trade flows • Official development assistance (ODA) • Objective to promote economic development and welfare of developing countries • Concessional in character with a grant element of at least 25 percent (calculated at a discount rate of 10 percent) • AFT is a subset of ODA that fall under four categories • Trade policy and regulations, economic infrastructure, building productive capacity and trade-related adjustment • Other official flows (OOF) are transactions by the official sector which do not meet the conditions for eligibility as ODA • Development finance (external financing) • ODA, OOF, foreign direct investment (FDI), remittances 4 Aid for trade data • Data submitted to the Creditor Reporting System (CRS) of the OECD Development Assistance Committee (DAC) • OECD.Stat: http://stats.oecd.org/ • QWIDS (Query Wizard for International Development Statistics): http://stats.oecd.org/qwids/ • Interface to download data from the CRS • Predefined queries: http://www.oecd.org/dac/aft/aid-for-tradestatisticalqueries.htm • OECD data does not cover South-South development cooperation • E.g. Brazil, India, China and South Africa are not covered • Alternatives: • National sources • AidData: http://aiddata.org/; for China: http://china.aiddata.org/ 5 AFT flows: commitments versus disbursements Commitments 60 US$ billion (2013 constant) 50 55.4 53.6 44.0 38.3 40 30 Disbursments 33.2 33.2 25.3 41.6 23.6 20 10 0 2002-05 avg. 2006-08 avg. 2009-11 avg. 2012 2013 Source: OECD-DAC, Credit Reporting System (CRS) 6 AFT commitments by category in US$ million (2013 const.) AFT category 02-05 avg. 06-08 avg. 09-11 avg. Trade Policy & Regulations 798 1,116 1,411 Trade Policy & Admin. Management 615 713 717 Trade Facilitation 76 193 371 Regional Trade Agreements 80 129 265 Multilateral Trade Negotiations 16 44 20 Trade Education/Training 11 35 38 Economic Infrastructure 13,203 17,710 24,084 Transport and Storage 6,997 10,112 13,251 Communications 647 517 662 Energy Generation and Supply 5,559 7,080 10,170 Building Productive Capacity 11,274 14,326 18,485 Business And Other Services 1,428 2,100 2,059 Banking & Financial Services 1,810 2,594 3,412 Agriculture 4,302 6,208 8,651 Forestry 570 696 1,073 Fishing 284 373 476 Industry 1,927 1,724 2,170 Mineral Resources and Mining 849 408 458 Tourism 106 224 185 Trade-related Adjustment 3.4 35.9 2012 1,335 598 463 230 11 33 30,450 15,533 760 14,158 21,811 1,463 5,031 10,265 1,241 318 2,567 848 77 0.4 2013 1,641 633 673 303 11 21 33,434 18,657 1,044 13,733 20,299 1,818 5,120 9,128 922 448 2,293 418 153 3.9 Total Aid for Trade 53,596 55,378 Source: OECD-DAC, Credit Reporting System (CRS) 25,275 33,155 44,016 7 AFT by income group and region in %, 2011-13 Noncountry specific 14% LDCs 29% UMICs 18% LICs (other) 3% Europe 11% Oceania 1% Non-region specific 7% America 8% Asia 37% Africa 36% LMICs 36% South & Central Asia 23% Far East Asia 11% Other Asia 3% Source: OECD-DAC, Credit Reporting System (CRS) 8 AFT commitments by instrument and donor in % % 70 Loans (vs. Grants) Multilateral (vs. Bilateral) 60 50 40 30 20 10 0 2002-05 2006-08 Source: OECD-DAC, Credit Reporting System (CRS) 2009-11 2012 2013 9 Share of AFT in development finance Average share of AFT and trade-related other official flows in development finance (2010/12) Aid for trade/Development finance (DF) Trade-related other official flows/DF 10.6% 6.5% 4.6% 5.3% 2.8% 0.7% LDCs LMICs UMICs Sources: Calculations based on UNCTAD, UNCTADstat; WB, World Development Indicators; OECD, DAC-CRS Aid Activities Database. How to evaluate the effectiveness of AFT? • Aggregate cross-country evaluations • Using econometric analysis (which we will discuss in this course) • Sectoral and programme evaluations • Review of a number of projects over time (by donors) • Project level evaluations • Can come in many different forms • Impact evaluations (impact of intervention on treatment group in comparison to control group) 11 How does Aid for Trade impact trade? Source: Cadot et al. (2014) 12 Studies on the impact of aid for trade on trade costs • Typical empirical model estimated by studies: Costit AFTit 1 X it 1 t i it • i – country, t – year • Costit – Trade cost variable, e.g. cost to import (export), time to import (export) • AFTit-1 – Lagged aid for trade flows, e.g. total AFT, aid for trade facilitation, aid for trade policy & regulation • Cali and te Velde (2011) • Impact of AFT Facilitation and AFT Policy and Regulation on cost and time to import as well as on cost to export • Busse, Hoekstra and Königer (2012) • Impact of AFT, AFT Facilitation and AFT Policies and Regulations on cost and time to import and export • Cirera and Winters (2015) • (No) impact of AFT on bilateral trade costs (ESCAP-WB database) 13 Cali and te Velde (2011) • Assess the impact of AFT Facilitation (ATF)and AFT Policy & Regulation (ATPR) on cost and time to import as well as on cost to export • • AFT disbursements from OECD CRS database Short time span due availability of trade cost data: 2005-2009 • Other controls: GDP p.c., population, government effectiveness, country and year fixed effects • Explanatory variables, including AFT, are lagged one year • Particular way to include observations with zero AFT flows • b1ln(max{1, ATF} + b2Dummy(ATF=0) • Finding: 100% increase in AFT Facilitation is associated with a 5% decrease in cost to import • Endogeneity of AFT variables is a concern • Downward bias as countries with higher trade costs are more likely to receive AFT? 14 Cali and te Velde (2011) 15 Busse, Hoekstra and Königer (2012) • Impact of different Aid for Trade categories (2005-8) on trade costs (2006-9) • Estimated in levels (not ln) • AFT variables are accumulated (“AFT stock”) • Higher impact of AFT Facilitation as compared to total AFT • Controls include “other” AFT • For subsamples: significant impact of AFT on trade costs driven by top 20 AFT recipients – no significant impact in LDCs • Not enough AFT to LDCs? Threshold for AFT effectiveness? 16 Studies on the impact of aid for trade on trade flows • Two approaches using standard trade data • Gravity estimation X ijt 1 AFTit 1 2 AFT jt 1 3Yit 1 4Y jt 1 TCij i j t it E.g.: Helble et al. (2012), OECD (2013), Vijl (2014) • Export (import) demand estimation: X it 1 AFTit 1 Z it 1 i t it E.g.: Cali and te Velde (2010), Ferro et al. (2014) 17 What about endogeneity? • Endogeneity arises if any explanatory variable is correlated with the error term • Endogeneity arises due to three possible problems: • Reverse causality: Do countries with high trade costs get more AFT? Do sectors with higher export potential or exports get more get more AFT? • Omitted variables: Should additional variables, e.g. other official flows (OOFs) or South-South development cooperation, be included in the model? • Measurement error: Is AFT measured with error? • How has it been addressed in studies? • Lagged explanatory variables • Fixed effects (e.g. country or bilateral dummies) • Instruments for AFT: Civil liberties, affinity of countries – political proximity 18 OECD/WTO AFT at a Glance (2013) • Country coverage: 109 non-oil exporting developing countries exporting to all countries • Long time span: 1995-2011 • AFT commitments, three-year lags • Other controls: ODA (minus AFT), GDP, population, bilateral trade costs variables (distance, common border, language,…); year, importer and exporter fixed effects • Impact of AFT on exports is higher in low income countries and International Development Association (IDA)-eligible countries (53 countries, mostly LDCs and other low income countries) 19 AFT at a Glance 2013: Effect of AFT on bilateral exports, by income group 20 Source: OECD/WTO (2013), Table E.2, p. 393. Helble et al. (2012): Effect of AFT on bilateral imports • Assess impact of AFT on bilateral trade, distinguishing also between narrow and broad AFT as well as hard and soft AFT • Baseline estimates: 167 importers and 172 exporters • Long time span: 1990-2005 • AFT commitments, not lagged (+lagged for robustness) • AFT to importer (IAFT) and to exporter (EAFT) • Other controls: other bilateral ODA (IOA; EOA) tariffs, GDP, GDP p.c., time fixed effects (5-year averages), time-varying bilateral fixed effects (5-year averages) • Simulations suggest that a US$1 increase in AFT can be associated with a US$1.33 increase in exports of recipient countries. 21 Helble et al. (2012): Effect of AFT on bilateral imports 22 Source: Helble et al. (2012) Helble et al. (2012): Narrow (trade policy) vs. broad (econ. Infrastructure and productive capacity) 23 Source: Helble et al. (2012) Vijl (2014): Complementarities between AFT and economic integration Source: Vijl (2014) 24 Cali and te Velde (2011): AFT and merchandise exports 25 Ferro et al. (2014): Aid to services and manufacturing exports Source: Ferro et al. (2014) 26