6th CBMS National Conference Manila, Philippines 08-10 December 2009 Poverty Impacts of Preferential and Multilateral Trade Liberalization on the Philippines Erwin Corong, Monash University, Australia Rachel Reyes, De La Salle University, Philippines Angelo Taningco, De La Salle University, Philippines This paper was carried out with funding and technical assistance from the Poverty and Economic Policy (PEP) Research Network, which is financed by the Australian Agency for International Development (AusAID) and the Government of Canada through the International Development Research Centre (IDRC) and the Canadian International Development Agency (CIDA). Outline Motivation of study Research question and objective Unilateral tariff reforms Multilateral trade reforms Preferential trade liberalization Trends in Philippine Tariff Rates Trends in Philippine Sectoral and Foreign Trade Performances Model description Model results Conclusion & Policy implications 1 Motivation of Study Since the 1990s, the Philippines has implemented trade liberalization reforms, participating in preferential trading arrangements (ex. AFTA, ACFTA, JPEPA) and multilateralism (ex. WTO), as well as unilateral tariff reforms. The Philippines is committed to the Millennium Development Goals (MDGs), including cutting in half extreme poverty by 2015. Empirical evidence on the link between trade liberalization and poverty is generally mixed; in the Philippines, the relation between the two is not yet fully understood. Research Question & Objective What is the potential impact of preferential and multilateral trade liberalization on poverty in the Philippines? This study provides quantitative evidence on the economy-wide and poverty effects of preferential and multilateral trade liberalization on the Philippines. 2 Unilateral Tariff Reforms: The Tariff Reform Program (TRP) TRP - Phase 1 (early 80s to early 90s). TRP - Phase 2 (early 90s to mid 90s) Average nominal tariff declined from 28% in 1991 to 20% in 1995. Tariffication of quantitative restrictions. TRP – Phase 3 (mid 90s to late 90s) Complemented by import liberalization program and realignment of indirect taxes. Average nominal tariff fell from 42% in 1981 to 28% in 1991. Tariff structure narrowed from 0%-100% to 10%-50%. Four-tier tariff structure (3%-10%-20%-30%). Average nominal tariffs decreased from 20% in 1994 to 13.4% in 1997. TRP – Phase 4 (late 90s to present) Eight-tier tariff structure (3%-5%-7%-10%-15%-20%-25%-30%). 22 industries were initially targeted for “tariff re-calibration”. Multilateral Trade Reforms The Philippines became a World Trade Organization (WTO) member country in 1995. It committed to bind tariff rates at a maximum of 10% in 65% of all tariff lines and in other sectors. It crafted laws consistent with its WTO commitments (ex. Safeguard Measures Act of 2000, Anti-dumping Act of 1999). Over 1992-1999, simple average applied MFN rate went down from 26% to 9.7%. In early 2000s, there was “little progress” in further promoting multilateralism with MFN rate slowly declining from 9.7% in 1999 to 5.8% in 2003, before climbing to 7.4% in 2004. 3 Preferential Trade Liberalization: The Case of AFTA The Philippines joined the ASEAN Free Trade Area (AFTA) in 1992. AFTA’s Common Effective Preferential Tariff (CEPT) Scheme: Aims to lower intra-ASEAN tariff to within 0%-5%. As of 2004, 99% of tariff lines in Philippines under CEPT scheme were within 0%-5% and the country’s average CEPT rate was around 3%. Philippine CEPT and MFN Rates, 2004 (average %) 8 7.4 7 6.3 6 4.8 4 3.3 3.6 2.5 3 2.5 2.5 CEPT - Thailand 3.8 CEPT - Singapore 5 3.0 2 1 CEPT - Viet Nam CEPT - Myanmar CEPT - Malaysia CEPT - Lao PDR CEPT - Indonesia CEPT - Cambodia CEPT - Brunei Darussalam MFN 0 Source of basic data: WTO 4 Average Nominal Tariff Rates in the Philippines, By Sector (%) 2002 2003 2004 2005 2006 2007 12.18 11.04 11.85 11.85 11.85 11.82 Mining 2.84 2.84 2.47 2.47 2.47 2.47 Manufacturing 5.04 5.43 6.94 7.29 7.26 7.32 Overall 6.03 6.19 7.51 7.81 7.77 7.82 Agriculture, Fishery, and Forestry Source of basic data: Tariff Commission, Republic of the Philippines. Sector’s Value Added (% of GDP) 60 53.5 52.0 50 40 32.3 31.6 Agriculture Industry 30 Services 20 15.8 14.9 10 0 2000 2008 Source of basic data: The World Bank, World Development Indicators. 5 Product Share in Philippine Total Exports, 2008 % share 5.6 0.1 5.1 2.5 83.6 3.1 Agro-Based Products Forest Products Mineral Products Petroleum Products Manufactures Special Transactions Source of basic data: National Statistics Office, Republic of the Philippines. The Model Standard economy-wide model linked to 2000 Social Accounting Matrix (SAM) and 2000 Family Income and Expenditure Survey (FIES) 35 production sectors 10 agriculture 19 industry 6 services 6 Representative Household Groups Agricultural workers Clerks and sales workers Government workers Industrial workers Professionals Households not classified elsewhere 6 Model’s Production and Trade Structures Industrial sector has biggest share in foreign trade with export and import shares of 92.5% and 87.1%, respectively, while the agriculture sector has export and import shares of 1.7% and 2.0%, respectively. Agriculture is labor-intensive while industry is capitalintensive. Model’s Household Income & Poverty Profile Sources of household income Labor Capital income income Transfers Remittances Philippines Poverty index Headcount Gap Severity 33.9 10.7 4.6 Government workers 74.1 14.8 5.6 5.5 14.2 4.0 1.7 Professionals 51.2 35.2 4.9 8.7 7.8 2.0 0.7 Clerks and sales workers 56.9 31 4.9 7.2 17.3 4.3 1.6 Agricultural workers 28.4 61.1 5.4 5.1 57.8 20.0 9.0 Industrial workers 61.8 28.4 3.1 6.6 26.4 7.0 2.6 Other households (NEC) 46.4 16.7 27.7 9.2 18.4 5.0 2.0 The main source of income for most household groups is labor income. Highest poverty incidence belongs to agricultural workers followed by industrial workers; smallest goes to professionals. 7 Policy Simulations Simulation 1: Actual CEPT and MFN tariff rate reductions between 2000 and 2006. (Note: During this period, the average CEPT rate cut was 18.5% while the average MFN tariff reduction was 9.7%.) Simulation 2: Full CEPT and CEPT liberalization, i.e., both CEPT and MFN tariff rates were reduced by 100%. Macro Effects of Combined CEPT and MFN Tariff Liberalization Fall in both import prices and prices of locallyproduced goods, leading to a decline in consumer prices. Import volume rises, crowding-out domestic production for local sales. Quantity of goods in domestic market increases given full liberalization, but declines given actual liberalization. Local cost of production falls, and real exchange rate depreciates, thereby boosting export volume. With actual CEPT and MFN liberalization, overall output of economy contracts slightly, but with full liberalization, overall output rises. 8 Sectoral Effects of Combined and Full CEPT and MFN Tariff Liberalization Prices fall for all sub-sectors in agriculture and industry. The decline in import prices is much bigger in agriculture. Import volumes rise for all sub-sectors in agriculture and industry. Domestic sales fall in all sectors. Industrial sector expands, owing to its exportintensive nature, while agricultural sector contracts, as it is not export-intensive. Household Income and Consumer Price Effects of Combined CEPT and MFN Tariff Liberalization Household income and consumer prices decline for all household groups. Fall in household income is much larger compared to consumer prices for households headed by workers who are paying more income taxes (ex. professionals, government workers). For households headed by relatively poor workers—agricultural workers and industrial workers, the decrease in consumer prices is larger compared to disposable income. 9 Poverty Effects of Actual and Combined CEPT and MFN Tariff Liberalization (% change) Poverty Headcount Direct Indirect Tax Tax Philippines Government workers Professionals Clerks & sales workers Agricultural workers Industrial workers Other households -0.1 0.8 0.4 0.0 -0.1 -0.2 0.0 0.1 0.0 0.0 0.1 0.1 0.2 0.0 Poverty Gap Direct Indirect Tax Tax -0.2 1.0 1.1 0.0 -0.3 -0.3 0.1 0.2 0.1 0.1 0.1 0.2 0.1 0.0 Poverty Severity Direct Indirect Tax Tax -0.3 1.1 1.5 0.0 -0.4 -0.3 0.2 0.2 0.1 0.1 0.1 0.2 0.2 0.0 Results are in favor of the use of a compensatory direct tax scheme in terms of reducing national poverty, as well as those of the relatively poor households—households headed by agricultural workers and industrial workers. But changes in poverty indices are small. Poverty Effects of Full and Combined CEPT and MFN Tariff Liberalization (% change) Philippines Government workers Professionals Clerks & sales workers Agricultural workers Industrial workers Other households Poverty Headcount Direct Indirect Tax Tax -1.2 0.4 4.5 0.8 5.0 0.4 0.1 1.1 -1.8 0.3 -1.5 0.5 0.9 -0.3 Poverty Gap Direct Indirect Tax Tax -2.4 0.6 8.9 1.0 9.6 1.1 0.1 1.0 -3.3 0.5 -2.2 1.0 0.8 -0.2 Poverty Severity Direct Indirect Tax Tax -3.1 0.7 9.7 1.1 12.6 1.4 0.1 1.1 -4.2 0.6 -2.6 1.2 0.9 -0.2 Changes in poverty indices are bigger. Results still support the use of a compensatory direct tax in financing tariff cuts (and ensuring a balanced budget) and in reducing national poverty and poverty levels for relatively poor households, i.e., those headed by agricultural workers and industrial workers. 10 Conclusion & Policy Implications Both preferential and multilateral trade liberalization measures have the potential in reducing poverty in the Philippines. Further CEPT and MFN tariff rate reductions alongside an appropriate compensatory tax mechanism—direct tax— are likely to lower national poverty, and help more the relatively poor households. Conclusion & Policy Implications (cont.) The Philippine government must continue to actively implement its commitments to both AFTA’s CEPT scheme and WTO’s MFN treatment, as well as enhance its direct tax revenues, through improving tax administration and tax collection efforts. Tariff liberalization can also be complemented by trade facilitation reforms that reduce trade costs (ex. Improve quality of roads, reduce trade-related procedures) as these are likely to have a much bigger impact in boosting international trade. 11 Thank you. 12
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