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Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia

Author

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  • Alemayehu Azeze Ambel
  • Harriet Kasidi Mugera
  • Robert E S Bain

Abstract

The Multidimensional Poverty Index is used increasingly to measure poverty in developing countries. The index is constructed using selected indicators that cover health, education, and living standards dimensions. The accuracy of this tool, however, depends on how each indicator is measured. This study explores the effect of accounting for water quality in multidimensional poverty measurement. Access to drinking water is traditionally measured by water source types. The study uses a more comprehensive measure, access to safely managed drinking water services, which are free from E. coli contamination, available when needed and accessible on premises in line with Sustainable Development Goal target 6.1. The study finds that the new measure increases national multidimensional headcount poverty by 5–13 percentage points, which would mean that 5–13 million more people are multidimensionally poor. It also increases the poverty level in urban areas to a greater extent than in rural areas. The finding is robust to changes in water contamination risk levels and Multidimensional Poverty Index aggregation approaches and weighting structures.

Suggested Citation

  • Alemayehu Azeze Ambel & Harriet Kasidi Mugera & Robert E S Bain, 2020. "Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-15, December.
  • Handle: RePEc:plo:pone00:0243921
    DOI: 10.1371/journal.pone.0243921
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    References listed on IDEAS

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    1. Sabina Alkire, 2007. "The Missing Dimensions of Poverty Data: Introduction to the Special Issue," Oxford Development Studies, Taylor & Francis Journals, vol. 35(4), pages 347-359.
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    4. Martin Ravallion & Gaurav Datt & Dominique van de Walle, 1991. "Quantifying Absolute Poverty In The Developing World," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 37(4), pages 345-361, December.
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    6. Sabina Alkire, 2007. "The Missing Dimensions of Poverty Data: An Introduction," OPHI Working Papers 0, Queen Elizabeth House, University of Oxford.
    7. Santos, María Emma, 2019. "Challenges in designing national multidimensional poverty measures," Estudios Estadísticos 44453, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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