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Regional Pro-Poor Growth and Convergence in Tunisia

Author

Listed:
  • 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
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    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.
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