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Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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NATIONAL MULTIDIMENSIONAL POVERTY INDEX 2023: A STATE-LEVEL ANALYSIS OF MAHARASHTRA WITH EMPHASIS ON WOMEN AND CHILDREN

Authors: Dr. Shirsath S.T. & Sonawane S.K.;

NATIONAL MULTIDIMENSIONAL POVERTY INDEX 2023: A STATE-LEVEL ANALYSIS OF MAHARASHTRA WITH EMPHASIS ON WOMEN AND CHILDREN

Abstract

This study examines the multidimensional nature of poverty in Maharashtra, with a specific focus on women and children. Utilizing the National Multidimensional Poverty Index (MPI) 2023 framework, the paper investigates poverty beyond income, incorporating deprivations in health, education, and standard of living. It emphasizes how women and children are disproportionately affected by multiple forms of deprivation, despite the state’s economic advancement. By analyzing state and district-level data, the research highlights disparities, identifies the most vulnerable regions and demographics, and evaluates policy implications. The findings underscore the need for targeted interventions that prioritize the most affected populations, ensuring inclusive development aligned with the Sustainable Development Goals (SDGs), particularly SDG 1.2.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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