Journal of Public Health and Primary Care (Jan 2023)

Empirical analysis of poverty in India using multidimensional poverty index

  • Jacob Varghese,
  • Sakhi Roy

DOI
https://doi.org/10.4103/jphpc.jphpc_1_20
Journal volume & issue
Vol. 4, no. 2
pp. 63 – 68

Abstract

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Background: This study has employed the multidimensional and flexible index that is the Multidimensional Poverty Index (MPI) in achieving the objective of this study. Aims and Objectives: This study intends to assess and quantify the poverty levels of India using MPI. Materials and Methods: This study has selected eight indicators across three dimensions – health, education and social capital, and standard of living – in the estimation and applied the MPI method of cross-dimensional cut off across the indicators. Results: Upon completion, this study showed that India faces multidimensional poverty with an MPI of 0.4328. Conclusion: Estimation of multidimensional poverty can be done by even health-care professionals/institutes, notwithstanding constraints of data availability, to be used for policy considerations.

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