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Exact Configuration of Poverty,Inequality and Polarization Trends in the Distribution of well-being in Cameroon

Listed author(s):
  • Francis Menjo Baye
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    This study attempts to carry out a comprehensive analysis of poverty, inequality and polarization trends using Cameroon household surveys collected before and during the Heavily Indebted Poor Countries (HIPC) process. The theoretical decomposition frameworks propelling the study are motivated mainly by the Shapley value. Empirical estimates are obtained from the software DAD 4.4 using both money-metric and child nutrition indicators, and poverty lines, with the monetary threshold derived nonparametrically. Effects within-zones account for much of monetary poverty changes than effects between-zones. The findings that inter-zone effects contribute to alleviating rural poverty while aggravating urban poverty, suggests the potential for rural–urban migration to alleviate rural poverty. Changes in money-metric poverty and health deprivation sharply contrast each other. While health poverty deteriorated, income poverty retreated. This is an indication that economic growth may not necessarily engender significant reduction in all dimensions of well-being. Changes in health poverty are driven largely by effects of redistribution, whereas for income poverty the growth component seems to be more important. Both income and non-income dimensions highlight the dominant role of within-group components in accounting for inequality trends. However, while the between-group contributions to inequality are negligible in the health dimension, they are non-negligible in the income space. In terms of levels, polarization and inequality are more of an urban than a rural problem, yet inequality and polarization worsened only in rural areas in the period 1996–2001. As a whole, polarization indices do not give dissimilar trends from standard measures of inequality. The conflicting results from income and health well-being indicators are attributable to the observation that the economic rebound in Cameroon was preceded by fiscal austerity measures embedded in the Structural Adjustment Programmes that engendered a decline in the availability of public goods. Moreover, health indicators are slow-moving compared with income or expenditure, which does not include the quality of service received from social expenditures on health and nutrition. These results have implications for policy making: in terms of income deprivation, emphasis could be on growth-based labour-intensive policies that create opportunities for the rural poor to increase their incomes; and in terms of child health and perhaps general health, emphasis could be on redistribution of health infrastructure and personnel to increase outreach.

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    File URL: http://aercafrica.org/index.php/publications/doc_download/2-exact-configuration-of-poverty-inequality-and-polarization-trends-in-the-distribution-of-well-being-in-cameroon
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    Paper provided by African Economic Research Consortium in its series Research Papers with number RP_207.

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    Length: 71 pages
    Date of creation: Nov 2010
    Handle: RePEc:aer:rpaper:rp_207
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    1. Esteban, Joan & Ray, Debraj, 1994. "On the Measurement of Polarization," Econometrica, Econometric Society, vol. 62(4), pages 819-851, July.
    2. Thomas, Duncan & Lavy, Victor & Strauss, John, 1996. "Public policy and anthropometric outcomes in the Cote d'Ivoire," Journal of Public Economics, Elsevier, vol. 61(2), pages 155-192, August.
    3. Theil, Henri, 1979. "The measurement of inequality by components of income," Economics Letters, Elsevier, vol. 2(2), pages 197-199.
    4. Francis Menjo Baye, 2006. "Growth, Redistribution and Poverty Changes in Cameroon: A Shapley Decomposition Analysis," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 15(4), pages 543-570, December.
    5. Wang, You-Qiang & Tsui, Kai-Yuen, 2000. " Polarization Orderings and New Classes of Polarization Indices," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 2(3), pages 349-363.
    6. Cowell, Frank A & Jenkins, Stephen P, 1995. "How Much Inequality Can We Explain? A Methodology and an Application to the United States," Economic Journal, Royal Economic Society, vol. 105(429), pages 421-430, March.
    7. Wolfson, Michael C, 1994. "When Inequalities Diverge," American Economic Review, American Economic Association, vol. 84(2), pages 353-358, May.
    8. Wolfson, Michael C, 1997. "Divergent Inequalities: Theory and Empirical Results," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 43(4), pages 401-421, December.
    9. Donaldson, David & Weymark, John A., 1980. "A single-parameter generalization of the Gini indices of inequality," Journal of Economic Theory, Elsevier, vol. 22(1), pages 67-86, February.
    10. Wolfson, Michael, 1997. "Divergent Inequalities - Theory and Empirical Results (Revised Edition)," Analytical Studies Branch Research Paper Series 1997066e, Statistics Canada, Analytical Studies Branch.
    11. Glewwe, Paul, 1986. "The distribution of income in Sri Lanka in 1969-1970 and 1980-1981 : A decomposition analysis," Journal of Development Economics, Elsevier, vol. 24(2), pages 255-274, December.
    12. Francis Baye, 2006. "Structure of Sectoral Decomposition of Aggregate Poverty Changes in Cameroon," African Development Review, African Development Bank, vol. 18(3), pages 309-329.
    13. Juan G. Rodríguez & Rafael Salas, "undated". "Extended Bi-Polarization And Inequality Measures," Working Papers 10-03 Classification-JEL , Instituto de Estudios Fiscales.
    14. Shorrocks, Anthony F, 1984. "Inequality Decomposition by Population Subgroups," Econometrica, Econometric Society, vol. 52(6), pages 1369-1385, November.
    15. Raghav Gaiha & Veena Kulkarni, 2005. "Anthropometric failure and persistence of poverty in rural India," International Review of Applied Economics, Taylor & Francis Journals, vol. 19(2), pages 179-197.
    16. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    17. Datt, Gaurav & Ravallion, Martin, 1992. "Growth and redistribution components of changes in poverty measures : A decomposition with applications to Brazil and India in the 1980s," Journal of Development Economics, Elsevier, vol. 38(2), pages 275-295, April.
    18. Ravallion, Martin & Huppi, Monika, 1991. "Measuring Changes in Poverty: A Methodological Case Study of Indonesia during an Adjustment Period," World Bank Economic Review, World Bank Group, vol. 5(1), pages 57-82, January.
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