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Regional Pro-Poor Growth and Convergence in Tunisia

Author

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  • Ghazi Boulila

    (Faculte des Sciences Economiques et de Gestion de Tunis, Universite de Tunis - El Manar)

  • Chaker Gabsi
  • Mohamed Trabelsi

    (Institut des Hautes Etudes Commerciales de Carthage (IHEC))

Abstract

This paper studies the evolution of total and regional poverty in Tunisia using the Growth Incidence Curve (GIC) approach based on individual consumption and education level from the household consumption surveys and other official publications during the period 1990-1995. Three main results are found, first, growth is pro-poor in Tunisia and poor households benefit from growth in the whole country as well as many different governorates. Second, the different social incidence curves (SGICs) using education as a social indicator confirms the fact that growth is generally pro-poor. This result means that education and human capital accumulation are important factors in decreasing poverty especially in rural areas. Third, the empirical analysis tends to confirm the existence of conditional and unconditional convergence in terms of poverty between regions, where poor governorates tend to grow more rapidly (with a high pro-poor growth) and to catch up with rich ones.

Suggested Citation

  • Ghazi Boulila & Chaker Gabsi & Mohamed Trabelsi, 2009. "Regional Pro-Poor Growth and Convergence in Tunisia," Working Papers 505, Economic Research Forum, revised Oct 2009.
    • Handle: RePEc:erg:wpaper:505
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    References listed on IDEAS

    as
    1. Chaudhuri, Shubham & Ravallion, Martin, 1994. "How well do static indicators identify the chronically poor?," Journal of Public Economics, Elsevier, vol. 53(3), pages 367-394, March.
    2. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
    3. repec:bla:jecsur:v:11:y:1997:i:2:p:123-62 is not listed on IDEAS
    4. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    5. Bourguignon, Francois & Goh, Chor-ching & Kim, Dae Il, 2004. "Estimating individual vulnerability to poverty with pseudo-panel data," Policy Research Working Paper Series 3375, The World Bank.
    6. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-251, April.
    7. 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.
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