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

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  • Kana Zeumo, Vivien
  • Tsoukiàs, Alexis
  • Somé, Blaise

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

  • Kana Zeumo, Vivien & Tsoukiàs, Alexis & Somé, Blaise, 2014. "A new methodology for multidimensional poverty measurement based on the capability approach," Socio-Economic Planning Sciences, Elsevier, vol. 48(4), pages 273-289.
    • Handle: RePEc:eee:soceps:v:48:y:2014:i:4:p:273-289
    DOI: 10.1016/j.seps.2014.04.002
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    References listed on IDEAS

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    Cited by:

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    2. 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.
    3. Anh Thu Quang Pham & Pundarik Mukhopadhaya, 2022. "Multidimensionl Poverty and The Role of Social Capital in Poverty Alleviation Among Ethnic Groups in Rural Vietnam: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 281-317, January.
    4. Su-Jung Nam, 2020. "Multidimensional Poverty among Female Householders in Korea: Application of a Latent Class Model," Sustainability, MDPI, vol. 12(2), pages 1-11, January.
    5. Nicolas Fayard & Chabane Mazri & Alexis Tsouki`as, 2021. "Is the Capability approach a useful tool for decision aiding in public policy making?," Papers 2101.09357, arXiv.org.
    6. 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.
    7. Hyesun Hwang & Su-Jung Nam, 2020. "Differences in Multidimensional Poverty According to Householders’ Gender and Age in South Korea," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(1), pages 147-165, March.

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