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Would Trade Liberalization Help the Poor of Brazil?

Author

Listed:
  • Ferreira Filho
  • Horridge, Mark
  • Joaquim Bento de Souza
Abstract
This paper addresses the potential effects of world agricultural trade liberalization on poverty and regional income distribution in Brazil, using an inter-regional applied general equilibrium (AGE) and a micro-simulation model of Brazil tailored for income distribution and poverty analysis by using a detailed representation of households. The model distinguishes 10 different labor types and has 270 different household expenditure patterns. Income can originate from 41 different production activities located in 27 different regions in the country. The AGE model communicates to a micro-simulation model that has around 112,000 Brazilian households and 264,000 adults. Poverty and income distribution indices are computed over the entire sample of households and persons, before and after the policy shocks. The simulated trade liberalization scenario causes agriculture to expand considerably and so, given the importance that agriculture still has for the poorest in Brazil, it has positive impacts on poverty in Brazil. The only states which show an increase in the number of poor households are Sao Paulo and Rio de Janeiro, where the bulk of the manufacturing activities in Brazil are concentrated. There is an even more positive impact on inequality. The higher fall in the poverty gap is shown to occur mainly on the poorest household groups, suggesting that the poorest among Brazil’s poor would benefit more from global trade liberalization.

Suggested Citation

  • Ferreira Filho & Horridge, Mark & Joaquim Bento de Souza, 2009. "Would Trade Liberalization Help the Poor of Brazil?," Agricultural Distortions Working Paper Series 52795, World Bank.
  • Handle: RePEc:ags:wbadwp:52795
    DOI: 10.22004/ag.econ.52795
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    References listed on IDEAS

    as
    1. Joaquim Bento de Souza Ferreira Filho & Carliton Vieira dos Santos & Sandra Maria do Prado Lima, 2007. "Tax Reform, Income Distribution and Poverty in Brazil: an Applied General Equilibrium Analysis," Working Papers MPIA 2007-26, PEP-MPIA.
    2. Harrison, Glenn W. & Rutherford, Thomas F. & Tarr, David G. & Gurgel, Angelo, 2002. "Regional, Multilateral and Unilateral Trade Policies of MERCOSUR for Growth and Poverty Reduction in Brazil," Conference papers 331003, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. W. Jill Harrison & J. Mark Horridge & K.R. Pearson, 2000. "Decomposing Simulation Results with Respect to Exogenous Shocks," Computational Economics, Springer;Society for Computational Economics, vol. 15(3), pages 227-249, June.
    4. François Bourguignon & Anne-Sophie Robilliard & Sherman Robinson, 2003. "Representative versus real households in the macro-economic modeling of inequality," DELTA Working Papers 2003-05, DELTA (Ecole normale supérieure).
    5. Horridge, Mark & Madden, John & Wittwer, Glyn, 2005. "The impact of the 2002-2003 drought on Australia," Journal of Policy Modeling, Elsevier, vol. 27(3), pages 285-308, April.
    6. Graziano da Silva, Jose & Eduardo Del Grossi, Mauro, 2001. "Rural Nonfarm Employment and Incomes in Brazil: Patterns and Evolution," World Development, Elsevier, vol. 29(3), pages 443-453, March.
    7. Kym Anderson & Will Martin, 2009. "Distortions to Agricultural Incentives in Asia," World Bank Publications - Books, The World Bank Group, number 2611.
    8. Green, Francis & Dickerson, Andy & Saba Arbache, Jorge, 2001. "A Picture of Wage Inequality and the Allocation of Labor Through a Period of Trade Liberalization: The Case of Brazil," World Development, Elsevier, vol. 29(11), pages 1923-1939, November.
    9. Ferreira FIlho, Joaquim Bento de Souza & Horridge, Mark, 2005. "The Doha Round, Poverty and Regional Inequality in Brazil," Conference papers 331332, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    10. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    11. Valenzuela, Ernesto & Kym Anderson, 2009. "Alternative Agricultural Price Distortions for CGE Analysis of Developing Countries, 2004 and 1980-84," GTAP Research Memoranda 2925, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    12. Valenzuela, Ernesto & Wong, Sara & Sandri, Damiano, 2007. "Distortions to Agricultural Incentives in Ecuador," Agricultural Distortions Working Paper Series 48394, World Bank.
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    Cited by:

    1. Alan Matthews, 2014. "An updated look at the impact of the EU's Common Agricultural Policy on developing countries," The Institute for International Integration Studies Discussion Paper Series iiisdp454, IIIS.

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    Keywords

    Agricultural and Food Policy; International Relations/Trade;

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