India's Multidimensional Poverty: Insights from the NITI Aayog 2023 Report

India has responsibly committed to accomplishing the SDGs by adopting the expression "Sabka Saath Sabka Vikas" which means collective effort and inclusive growth. India made incredible progress towards the various goals, according to the Voluntary National Review of SDG (2017) report submitted to the UN. According to UNDP’s review in 2018, India ranked 53rd out of 105 developing nations, with an MPI index of 0.121. This paper aims to evaluate the reliability of the government's claim that there has been a drastic reduction in poverty. The main contributors to India's multidimensional poverty are low nutrition, high child mortality and restricted access to clean water. To address the various factors that lead to poverty, India's multisectoral strategy has shown to be beneficial as seen by the large fall in both the MPI value and Headcount Ratio between 2015–16 and 2019–21. However sustainable employment is the key to reducing multidimensional poverty.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-28
DOI
https://doi.org/10.5281/zenodo.15112871
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
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article

India's Multidimensional Poverty: Insights from the NITI Aayog 2023 Report

Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods and Bayesian Inference
article

India's Multidimensional Poverty: Insights from the NITI Aayog 2023 Report

article en

Abstract

India has responsibly committed to accomplishing the SDGs by adopting the expression "Sabka Saath Sabka Vikas" which means collective effort and inclusive growth. India made incredible progress towards the various goals, according to the Voluntary National Review of SDG (2017) report submitted to the UN. According to UNDP’s review in 2018, India ranked 53rd out of 105 developing nations, with an MPI index of 0.121. This paper aims to evaluate the reliability of the government's claim that there has been a drastic reduction in poverty. The main contributors to India's multidimensional poverty are low nutrition, high child mortality and restricted access to clean water. To address the various factors that lead to poverty, India's multisectoral strategy has shown to be beneficial as seen by the large fall in both the MPI value and Headcount Ratio between 2015–16 and 2019–21. However sustainable employment is the key to reducing multidimensional poverty.

Zenodo (CERN European Organization for Nuclear Research)
Guerbet (France) (FR)
No poverty
Openalex Percentile: Top 54%
Statistical Methods and Bayesian Inference
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India's Multidimensional Poverty: Insights from the NITI Aayog 2023 Report · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS