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A new methodology for multidimensional poverty measurement based on the capability approach

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  • Vivien Kana-Zeumo

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

  • Alexis Tsoukiàs

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique)

  • Blaise Somé

    (LANIBIO - Laboratoire d'Analyse Numérique Informatique et Biomathématiques - UJZK - Université Joseph Ki-Zerbo [Ouagadougou])

Abstract

We propose a methodology based on the use of clustering techniques derived from data analysis and multi-attribute decision analysis methods aiming at purposeful multidimensional poverty measurement. Our contribution to methodological knowledge insists on the necessity to build "meaningful measurements" for policy making and policy implementation. Our standpoint underlines the necessity to consider the problem of poverty measurement as a decision problem and to tackle its measurement issue with that in mind. We also show that such an exercise can be useful to develop a better operational definition of poverty and to solve the aggregation issues.

Suggested Citation

  • Vivien Kana-Zeumo & Alexis Tsoukiàs & Blaise Somé, 2014. "A new methodology for multidimensional poverty measurement based on the capability approach," Post-Print hal-01510900, HAL.
    • Handle: RePEc:hal:journl:hal-01510900
    DOI: 10.1016/j.seps.2014.04.002
    Note: View the original document on HAL open archive server: https://hal.science/hal-01510900v2
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    References listed on IDEAS

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    Cited by:

    1. Eric Yaw Naminse & Jincai Zhuang, 2018. "Does farmer entrepreneurship alleviate rural poverty in China? Evidence from Guangxi Province," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-18, March.
    2. Noor Hidayah Zakaria & Rohayanti Hassan & Muhamad Razib Othman & Zalmiyah Zakaria & Shahreen Kasim, 2017. "A Review on Classification of the Urban Poverty Using the Artificial Intelligence Method," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 7(11), pages 450-458, November.

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