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An Individual-based Index of Multidimensional Poverty for Low- and Middle-Income Countries

Author

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  • Francesco Burchi
  • José Espinoza-Delgado
  • Claudio E. Montenegro
  • Nicole Rippin

Abstract

This paper proposes a new index of multidimensional poverty, called the Global Correlation Sensitive Poverty Index (G-CSPI), which has three interesting features. First, it encompasses three dimensions: decent work, education and access to drinking water and sanitation, which largely overlap with the list of ideal dimensions obtained by expanding the Constitutional Approach, although it does not include direct health measures. Second, it uses a distribution-sensitive measure that can also be decomposed into the three poverty components: incidence, intensity and inequality. Finally, the G-CSPI is an individual-based, rather than household-based index, although restricted to individuals 15–65 years of age. It is thus able to detect intra-household differences in poverty among members within that age-range. To have a full picture of multidimensional poverty at the country level, it should then be complemented by specific poverty measures for children and the elderly. Being centred on individuals and sensitive to inequality, the G-CSPI is coherent with the overarching principle of the 2030 Agenda “leaving no one behind”. Using recent estimates of the G-CSPI for 104 countries, the empirical analysis reveals that the index is highly robust to different specifications, and that, as expected, fragile countries experience the largest levels of poverty.

Suggested Citation

  • Francesco Burchi & José Espinoza-Delgado & Claudio E. Montenegro & Nicole Rippin, 2021. "An Individual-based Index of Multidimensional Poverty for Low- and Middle-Income Countries," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 22(4), pages 682-705, October.
  • Handle: RePEc:taf:jhudca:v:22:y:2021:i:4:p:682-705
    DOI: 10.1080/19452829.2021.1964450
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    Cited by:

    1. Bao, Yan Xi & Liao, Ting Xuan, 2021. "Capability Approach: Reconciling the Absolute Core and the Multidimensional Relative Poverty Measures," MPRA Paper 111333, University Library of Munich, Germany.
    2. Francesco Burchi & Federico Roscioli, 2022. "Can Integrated Social Protection Programmes Affect Social Cohesion? Mixed-Methods Evidence from Malawi," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(3), pages 1240-1263, June.
    3. Bao, Yanxi & Liao, Tingxuan, 2024. "Multidimensional poverty and growth: Evidence from India 1998–2021," Economic Modelling, Elsevier, vol. 130(C).
    4. Woojin Jung, 2022. "The Discrepancy Between Two Approaches to Global Poverty: What Does it Reveal?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 1313-1344, August.
    5. 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).
    6. Khaufelo Raymond Lekobane, 2022. "Does it matter which poverty measure we use to identify those left behind? Investigating poverty mismatch and overlap for Botswana," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 24(1), pages 171-196, June.

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