IDEAS home Printed from https://ideas.repec.org/p/cop/wpaper/g-149.html
   My bibliography  Save this paper

Economic Integration, Poverty and Regional Inequality in Brazil

Author

Listed:
  • Joaquim Bento Ferreira-Filho
  • Mark Horridge

Abstract

Gains and losses from trade liberalization are often unevenly distributed inside a country. For example, if budget shares vary according to household income, changes in commodity prices will redistribute an overall welfare change between household types. Household incomes will also be differentially affected. Sectoral differences in factor-intensity mean that changes in industrial structure cause redistribution of income between primary factors. Particular primary factors (such as capital, or less skilled labour) may contribute disproportionately to the incomes of certain household types. The fortunes of such households indirectly depend on the prospects of particular sectors. We emphasize these distributive issues, especially those arising from the income side. At the same time we distinguish households by regions (within the country). The regional distinction sharpens the contrast between groups of households. Particular regions have their own patterns of economic activity and so are differently affected by changes in the industrial protection structure. Since regional household incomes depend closely on value-added from local industries, economic change will tend to redistribute income between regional households. If the regional concentration of poverty is more than we could predict by regional primary factor endowments and industry structure, the addition of a regional dimension will add power to our analysis of income distribution beyond the mere addition of interesting regional detail. The paper deals with these issues more fully. We extend previous regional modeling of Brazil to include the intra-household dimension, addressing poverty and income distribution issues that may be caused by trade integration. An applied general equilibrium (AGE) inter-regional model of Brazil underlies our analysis, with a detailed specification of households. The model is static and solved with GEMPACK. The Representative Household (RH) hypothesis is abandoned; instead a micro-simulation (MS) model is used to track changes in household income and expenditure patterns. This micro-simulation model is built upon two Brazilian household studies: (1) the Household Budget Survey (POF, IBGE, 1999) covers detailed expenditure patterns for 16,013 households and 11 regions in Brazil in 1996; (2) the National Household Sample Survey (PNAD, IBGE, 1997) is a yearly survey that includes detailed information about household employment and income sources, with 331,263 observations. We integrate the two data sources to produce a detailed mapping of expenditure and income sources for 112,055 Brazilian households and 263,938 adults, distinguishing 42 activities, 52 commodities, and 27 regions. We link the AGE and MS models together, solving them iteratively to get consistency between results. After a shock the AGE model communicates changes in wages and employment by industry and labour type to the MS model that individually simulates the changes in employment, income and expenditure patterns for each household. The new expenditure pattern is then communicated to the AGE model, and the process is repeated until the two models converge. The final results from the MS model enable us to estimate changes in poverty and income distribution measures, both nationally and for regions within Brazil. We use the model to analyze poverty and income distribution impacts of the Free Trade Area of Americas formation upon the Brazilian economy. In the particular simulation we examine, freer trade leads to increased employment, especially for lower-paid workers. Poor households, which contain more unemployed adults, benefit most. This leads to a reduction in poverty in all 27 Brazilian states.

Suggested Citation

  • Joaquim Bento Ferreira-Filho & Mark Horridge, 2004. "Economic Integration, Poverty and Regional Inequality in Brazil," Centre of Policy Studies/IMPACT Centre Working Papers g-149, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:g-149
    as

    Download full text from publisher

    File URL: http://www.copsmodels.com/ftp/workpapr/g-149.pdf
    File Function: Initial version, 2004-07
    Download Restriction: no

    File URL: http://www.copsmodels.com/elecpapr/g-149.htm
    File Function: Local abstract: may link to additional material.
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    2. 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.
    3. Mark Horridge, 2000. "ORANI-G: A General Equilibrium Model of the Australian Economy," Centre of Policy Studies/IMPACT Centre Working Papers op-93, Victoria University, Centre of Policy Studies/IMPACT Centre.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arief Anshory Yusuf, 2008. "INDONESIA-E3: An Indonesian Applied General Equilibrium Model for Analyzing the Economy, Equity, and the Environment," Working Papers in Economics and Development Studies (WoPEDS) 200804, Department of Economics, Padjadjaran University, revised Sep 2008.
    2. Arief Yusuf & Budy Resosudarmo, 2015. "On the distributional impact of a carbon tax in developing countries: the case of Indonesia," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 131-156, January.
    3. Arief Anshory Yusuf, 2006. "Constructing Indonesian Social Accounting Matrix for Distributional Analysis in the CGE Modelling Framework," Working Papers in Economics and Development Studies (WoPEDS) 200604, Department of Economics, Padjadjaran University, revised Nov 2006.
    4. Dorothée BOCCANFUSO & Luc Savard & A. Diagne, 2004. "Impacts De La Libéralisation Commerciale De L’Agriculture Sur La Pauvreté Et La Distribution De Revenus Au Sénégal," Cahiers de recherche 04-11, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    5. Aline Souza Magalhães & Edson Domingues, 2009. "Regional inequality and growth: the role of interregional trade in the Brazilian economy," Textos para Discussão Cedeplar-UFMG td359, Cedeplar, Universidade Federal de Minas Gerais.
    6. Dorothée Boccanfuso & G. Rodolphe A. Missinhoun & Luc Savard, 2010. "Réformes economiques et croissance pro-pauvre : une application macro-micro aux Philippines," Recherches économiques de Louvain, De Boeck Université, vol. 76(3), pages 257-288.
    7. Arief Anshory Yusuf & Budy P. Resosudarmo, 2007. "On the Distributional Effect of Carbon Tax in Developing Countries: The Case of Indonesia," Working Papers in Economics and Development Studies (WoPEDS) 200705, Department of Economics, Padjadjaran University, revised Aug 2007.
    8. Edson Paulo Domingues & Kênia Barreiro de Souza, 2012. "The Welfare Impacts of Changes in the Brazilian Domestic Work Market," One Pager 180, International Policy Centre for Inclusive Growth.
    9. Yusuf, Arief Anshory & Resosudarmo, Budy P., 2007. "Searching for Equitable Energy Price Reform for Indonesia," MPRA Paper 1946, University Library of Munich, Germany.
    10. Wim Naudé & Riaan Rossouw, 2011. "Export diversification and economic performance: evidence from Brazil, China, India and South Africa," Economic Change and Restructuring, Springer, vol. 44(1), pages 99-134, April.
    11. Marie Daumal, 2013. "The Impact of Trade Openness on Regional Inequality: The Cases of India and Brazil," The International Trade Journal, Taylor & Francis Journals, vol. 27(3), pages 243-280, August.
    12. Ricardo Argüello & Daniel Valderrama-Gonzalez, 2015. "Sectoral and poverty impacts of agricultural policy adjustments in Colombia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 259-280, March.
    13. Hasegawa, Marcos & Guilhoto, Joaquim José Martins, 2006. "Investimento e produtividade dos fatores primários: uma análise de equilíbrio geral aplicado
      [Investment and productivity of primary factors: a general applied general equilibrium analysis]
      ," MPRA Paper 54555, University Library of Munich, Germany.
    14. Bittencourt, Maurício Vaz Lobo & Kraybill, David S. & Larson, Donald W., 2006. "Consequences Of Trade Liberalization On Poverty And Income Distribution In Brazil," 2006 Annual meeting, July 23-26, Long Beach, CA 21128, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Joaquim B de Souza Ferreira Filho & Carliton V dos Santos & Sandra M do Prado Lima, 2010. "Case Study: Tax reform, income distribution and poverty in Brazil: an applied general equilibrium analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 114-117.
    16. repec:dau:papers:123456789/4295 is not listed on IDEAS

    More about this item

    Keywords

    CGE microsimulation Brazil regional poverty;

    JEL classification:

    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cop:wpaper:g-149. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Horridge). General contact details of provider: http://edirc.repec.org/data/cpmonau.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.