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Efficiency and Distributive Justice in Multidimensional Poverty Issues

In: Measuring Multidimensional Poverty and Deprivation

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  • Nicole Rippin

    (German Development Institute/Deutsches Institut für Entwicklungspolitik (DIE)
    University of Göttingen)

Abstract

This chapter deals with the two concepts of efficiency and distributive justice in multidimensional poverty measures. The concepts, though clearly related, are not the same, yet they are usually equated in one way or the other in multidimensional poverty measurement. In other words, multidimensional poverty measures either focus on the spread of simultaneous deprivations across the population (distribution-sensitivity) or the relationship between different poverty dimensions (association-sensitivity or efficiency). This chapter brings these two concepts together by measuring multidimensional poverty more holistically as the association-sensitive spread of simultaneous deprivations across the population. Focusing on ordinal poverty measures, it provides axiomatic justification for distribution- and association-sensitive multidimensional poverty measures by using a new Sensitivity to Inequality Increasing Switch axiom. The resulting class of ordinal poverty measures is unique in the sense that it is association- and distribution-sensitive as well as fully decomposable. An empirical application for India illustrates the distinctive characteristics of these poverty measures.

Suggested Citation

  • Nicole Rippin, 2017. "Efficiency and Distributive Justice in Multidimensional Poverty Issues," Global Perspectives on Wealth and Distribution, in: Roger White (ed.), Measuring Multidimensional Poverty and Deprivation, chapter 0, pages 31-67, Palgrave Macmillan.
    • Handle: RePEc:pal:gpochp:978-3-319-58368-6_3
    DOI: 10.1007/978-3-319-58368-6_3
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    Citations

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    Cited by:

    1. Svenja Flechtner, 2021. "Dimensions of Poverty. Measurement, Epistemic Injustices and Social Activism," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 530-544, June.
    2. Espinoza-Delgado, José & Silber, Jacques, 2018. "Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables," MPRA Paper 88750, University Library of Munich, Germany.
    3. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    4. Wang, Qiong & Mukhopadhaya, Pundarik & Ye, Jingyi, 2020. "An evaluation of the changes in wellbeing in China – 2005 to 2015: An exploratory study," China Economic Review, Elsevier, vol. 61(C).
    5. Burchi, Francesco & Malerba, Daniele & Rippin, Nicole & Montenegro, Claudio E., 2019. "Comparing global trends in multidimensional and income poverty and assessing horizontal inequalities," IDOS Discussion Papers 2/2019, German Institute of Development and Sustainability (IDOS).
    6. Sam Jones, 2022. "Extending multidimensional poverty identification: from additive weights to minimal bundles," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 421-438, June.
    7. Balasubramanian, P. & Burchi, F. & Malerba, D., 2023. "Does economic growth reduce multidimensional poverty? Evidence from low- and middle-income countries," World Development, Elsevier, vol. 161(C).
    8. Guo, Junping & Qu, Song & Zhu, Tiehui, 2022. "Estimating China’s relative and multidimensional Poverty: Evidence from micro-level data of 6145 rural households," World Development Perspectives, Elsevier, vol. 26(C).
    9. Olga Cantó & Carmelo García-Pérez & Marina Romaguera de la Cruz, 2021. "Multidimensional Measures of Economic Insecurity in Spain: The Role of Aggregation and Weighting Methods," Hacienda Pública Española / Review of Public Economics, IEF, vol. 238(3), pages 29-60, September.

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