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A counterfactual analysis of the poverty impact of economic growth in Cameroon

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  • Essama-Nssah, B.
  • Bassole, Leandre

Abstract

The Government of Cameroon has declared poverty reduction through strong and sustainable economic growth the central objective of its socioeconomic policy. This paper uses available household survey data to assess the performance of the economy with respect to this objective over the period 1996-2007. The authors use counterfactual decompositions based on both the Shapley method and the generalized Oaxaca-Blinder framework to identify proximate factors that might explain differences in observed outcomes over time, across regions and households. The concept of pro-poorness provides a basis for a normative evaluation of these outcomes. The analysis of changes in the size distribution of economic welfare reveals that formal sector employment, access to credit, education, and urban residence are characteristics that bring significantly high returns to households. Employment in smallholder agriculture has a negative impact on welfare across quantiles. Economic growth was accompanied by significant poverty reduction between 1996 and 2001. But poverty barely decreased between 2001 and 2007 due to very weak growth. Over the same period, household investment in human capital took a serious hit. Given the additional finding that the pattern of growth is characterized by urban bias and regional disparity, the overall assessment is that economic growth has been weakly pro-poor in Cameroon. There is therefore a need to re-examine and possibly reform the mechanisms governing the allocation of public resources designed to support individuals'efforts to improve their standard of living.

Suggested Citation

  • Essama-Nssah, B. & Bassole, Leandre, 2010. "A counterfactual analysis of the poverty impact of economic growth in Cameroon," Policy Research Working Paper Series 5249, The World Bank.
  • Handle: RePEc:wbk:wbrwps:5249
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    as
    1. Manski, Charles F, 1991. "Regression," Journal of Economic Literature, American Economic Association, vol. 29(1), pages 34-50, March.
    2. Jacques Silber & Michal Weber, 1999. "Labour market discrimination: are there significant differences between the various decomposition procedures?," Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 359-365.
    3. François Bourguignon & Francisco Ferreira & Phillippe Leite, 2008. "Beyond Oaxaca–Blinder: Accounting for differences in household income distributions," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 117-148, June.
    4. Emini, Christian Arnault & Cockburn, John & Decaluwe, Bernard, 2005. "The poverty impacts of the Doha Round in Cameroon : the role of tax policy," Policy Research Working Paper Series 3746, The World Bank.
    5. Lambert, Peter J & Aronson, J Richard, 1993. "Inequality Decomposition Analysis and the Gini Coefficient Revisited," Economic Journal, Royal Economic Society, vol. 103(420), pages 1221-1227, September.
    6. Arsene Gideon Nkama, 2006. "Analysing the Poverty Impact of the HIPC Initiative in Cameroon," African Development Review, African Development Bank, vol. 18(3), pages 330-352.
    7. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    8. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    9. Essama-Nssah, B., 2005. "A unified framework for pro-poor growth analysis," Economics Letters, Elsevier, vol. 89(2), pages 216-221, November.
    10. Markus Frolich & Blaise Melly, 2010. "Estimation of quantile treatment effects with Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 423-457, September.
    11. Nanak Kakwani & Hyun H. Son, 2008. "Poverty Equivalent Growth Rate," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(4), pages 643-655, December.
    12. Nguyen, Binh T. & Albrecht, James W. & Vroman, Susan B. & Westbrook, M. Daniel, 2007. "A quantile regression decomposition of urban-rural inequality in Vietnam," Journal of Development Economics, Elsevier, vol. 83(2), pages 466-490, July.
    13. 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, vol. 15(4), pages 543-570, December.
    14. B. Essama‐Nssah & Peter J. Lambert, 2009. "Measuring Pro‐Poorness: A Unifying Approach With New Results," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 752-778, September.
    15. Blaise Melly, 2005. "Public-private sector wage differentials in Germany: Evidence from quantile regression," Empirical Economics, Springer, vol. 30(2), pages 505-520, September.
    16. 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.
    17. Farshid Vahid & Pushkar Maitra, 2006. "The effect of household characteristics on living standards in South Africa 1993-1998: a quantile regression analysis with sample attrition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 999-1018.
    18. Mathia Sinning & Markus Hahn & Thomas K. Bauer, 2008. "The Blinder–Oaxaca decomposition for nonlinear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 480-492, December.
    19. Nanak Kakwani & Shahid Khandker & Hyun H. Son, 2004. "Pro-poor growth: concepts and measurement with country case studies," Working Papers 1, International Policy Centre for Inclusive Growth.
    20. Pernia, Ernesto & Kakwani, Nanak, 2000. "What is Pro-poor Growth?," MPRA Paper 104987, University Library of Munich, Germany.
    21. Farshid Vahid & Pushkar Maitra, 2005. "The Effect of Household Characteristics on Living Standards in South Africa 1993 - 98: A Quantile Regression Analysis with Sample Attrition," ANU Working Papers in Economics and Econometrics 2005-452, Australian National University, College of Business and Economics, School of Economics.
    22. Stanislav Kolenikov & Anthony Shorrocks, 2005. "A Decomposition Analysis of Regional Poverty in Russia," Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 25-46, February.
    23. repec:bla:revinw:v:43:y:1997:i:2:p:239-52 is not listed on IDEAS
    24. Ravallion, Martin, 2001. "Growth, Inequality and Poverty: Looking Beyond Averages," World Development, Elsevier, vol. 29(11), pages 1803-1815, November.
    25. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    26. Essama-Nssah, B., 2007. "A poverty-focused evaluation of commodity tax options," Policy Research Working Paper Series 4245, The World Bank.
    27. B. Essama-Nssah, 2007. "A poverty-focused evaluation of commodity tax options," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(8), pages 1114-1130.
    28. Coulombe, Harold & Mckay, Andrew, 1996. "Modeling determinants of poverty in Mauritania," World Development, Elsevier, vol. 24(6), pages 1015-1031, June.
    29. repec:bla:revinw:v:39:y:1993:i:2:p:121-39 is not listed on IDEAS
    30. Thomas Bauer & Mathias Sinning, 2008. "An extension of the Blinder–Oaxaca decomposition to nonlinear models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(2), pages 197-206, May.
    31. Siddiq Osmani, 2005. "Defining pro-poor growth," One Pager 9, International Policy Centre for Inclusive Growth.
    32. Jenkins, Stephen P & Lambert, Peter J, 1997. "Three 'I's of Poverty Curves, with an Analysis of UK Poverty Trends," Oxford Economic Papers, Oxford University Press, vol. 49(3), pages 317-327, July.
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    Cited by:

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    3. Bassol3, Leandre & Essama-Nssah, B. & Paul,Saumik, 2010. "Accounting for heterogeneity in growth incidence in Cameroon," Policy Research Working Paper Series 5464, The World Bank.
    4. Boniface P Yemba & Inoussa Boubacar, 2018. "On the Merit of Debt Relief Programs in Heavily Indebted Poor Countries," Economics Bulletin, AccessEcon, vol. 38(2), pages 940-956.
    5. Aradhna Aggarwal & Nagesh Kumar, 2012. "Structural Change, Industrialization and Poverty Reduction: The Case of India," Development Papers 1206, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) South and South-West Asia Office.
    6. Sophie CHAUVIN, 2017. "Cameroun: les enjeux de la croissance," Working Paper ad6db33a-936a-4971-8c5b-e, Agence française de développement.

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    Keywords

    Rural Poverty Reduction; Achieving Shared Growth; Regional Economic Development; Inequality;
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