IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/77963.html
   My bibliography  Save this paper

Is growth pro-poor in Benin? evidence using a multidimensional measure of poverty

Author

Listed:
  • Gbetoton Nadege, Djossou
  • Gilles Quentin, Kane
  • Novignon, Jacob

Abstract

In recent years, economic development discourse has moved beyond increasing economic growth to ensuring that growth also leads to reduction in poverty and inequality. This motivates the current study to examine the relationship between economic growth and poverty in Benin. We used data from the 2006 and 2011 Benin Demographic and Health Surveys (DHS) and computed a multidimensional poverty index using the Multiple Correspondence Analysis (MCA). Growth pro-poorness was then estimated using the Pro-Poor Growth Rate (PPGR) and Poverty Equivalent Growth Rate (PEGR). The distribution of growth pro-poorness was also analysed using the Growth Incidence Curves (GIC) and Non-Income Growth Incidence Curve (NIGIC). Average multidimensional poverty rate was estimated to be about 55.3%. The findings show that while growth has generally been pro-poor in Benin, there exists disparities across rural and urban households, women as well as the elderly. The findings reinforce the need for broader poverty measures and refocusing poverty reduction strategies to marginalised groups in Benin.

Suggested Citation

  • Gbetoton Nadege, Djossou & Gilles Quentin, Kane & Novignon, Jacob, 2017. "Is growth pro-poor in Benin? evidence using a multidimensional measure of poverty," MPRA Paper 77963, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:77963
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/77963/1/MPRA_paper_77963.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. United Nations UN, 2015. "The Millennium Development Goals Report 2015," Working Papers id:7097, eSocialSciences.
    2. Mohamed Ayadi & AbdelRahmen El Lahga & Naouel Chtioui, 2007. "Pauvreté et inégalités en Tunisie: une approche non monétaire," Working Papers PMMA 2007-05, PEP-PMMA.
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    4. Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 289-314, June.
    5. Djossou, Gbètoton Nadège Adèle & Monwanou, Djohodo Ines & Novignon, Jacob, 2016. "Improving access to microcredit in Benin: are the poor and women benefiting?," MPRA Paper 72219, University Library of Munich, Germany.
    6. Abayomi Samuel Oyekale*, 2015. "Non-monetary assessment of pro-poor growth in Nigeria: evidence from demographic and health surveys," Journal of Developing Areas, Tennessee State University, College of Business, vol. 49(1), pages 107-132, January-M.
    7. Ezzrar, Abdeljaouad & Verme , Paolo, 2012. "A multiple correspondence analysis approach to the measurement of multidimensional poverty in Morocco, 2001-2007," Policy Research Working Paper Series 6087, The World Bank.
    8. Marie-Odile Attanasso, 2004. "Analyse des déterminants de la pauvreté monétaire des femmes chefs de ménage au Bénin," Mondes en développement, De Boeck Université, vol. 128(4), pages 41-63.
    9. Grosse, Melanie & Harttgen, Kenneth & Klasen, Stephan, 2008. "Measuring Pro-Poor Growth in Non-Income Dimensions," World Development, Elsevier, vol. 36(6), pages 1021-1047, June.
    10. United Nations UN, 2015. "The Millennium Development Goals Report 2015," Working Papers id:7222, eSocialSciences.
    11. Klasen, Stephan, 2008. "Economic Growth and Poverty Reduction: Measurement Issues using Income and Non-Income Indicators," World Development, Elsevier, vol. 36(3), pages 420-445, March.
    12. Kojo Appiah-Kubi & Edward Amanning-Ampomah & Christian Ahortor, 2007. "Multi-Dimensional Analysis of Poverty in Ghana Using Fuzzy Sets Theory," Working Papers PMMA 2007-21, PEP-PMMA.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Multidimensional poverty; pro-poor growth; Benin;

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • P46 - Economic Systems - - Other Economic Systems - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:77963. 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: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.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.