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Measurement of Multi-Dimensional Poverty in India: A state level analysis

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  • Tripathi, Sabyasachi
  • Yenneti, Komali

Abstract

The paper measures the multidimensional poverty index (MPI) in India by considering National Sample Survey (NSS) data on ‘Consumption Expenditure’ for the period of 2004-05 and 2011-12 by using Alkire and Foster’s (2011) methodology and by considering three main indicators i.e., standard of living, education and income at the household or persons level. The results show that multidimensional poverty head count has declined from 62.2 percent in 2004-05 to 38.4 percent in 2011-12. However, rural/ urban separate analysis clearly indicates a sharp decline in rural poverty compared to urban poverty reduction. Lack of education of the household members made the highest contribution to poverty, followed by income and standard of living in India. State level analysis show that Jharkhand, Uttar Pradesh, Rajasthan, Orissa, Bihar, Chhattisgarh, and Arunachal Pradesh, have a higher poverty head count ratio while Kerala, Mizoram, Nagaland, Punjab, Himachal Pradesh, and Haryana have lower poverty rate. Promoting local resource and tourism based industries through urbanization, higher and job oriented education, and long term saving for creating funding are required to reduce poverty in India.

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  • Tripathi, Sabyasachi & Yenneti, Komali, 2019. "Measurement of Multi-Dimensional Poverty in India: A state level analysis," MPRA Paper 96952, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:96952
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    References listed on IDEAS

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    Cited by:

    1. Xuming He & Heng Xi & Xianbo Li, 2024. "Multi-Dimensional Decomposition, Measurement, and Governance Mechanism of Relative Poverty in Chinese Households under the Goal of Common Prosperity: Empirical Analysis Based on CFPS2020 Data," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    2. Binayak Kandapan & Jalandhar Pradhan & Itishree Pradhan, 2023. "An Individual-Specific Approach to Multidimensional Child Poverty in India: a Study of Regional Disparities," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(5), pages 2075-2105, October.
    3. Pinaki Das & Bibek Paria & Shama Firdaush, 2021. "Juxtaposing Consumption Poverty and Multidimensional Poverty: A Study in Indian Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 469-501, January.
    4. M. R. Narayana, 2021. "Economic inequality by age and its implications for inequity for living generations in India: evidence based on National Transfer Accounts," Asia-Pacific Journal of Regional Science, Springer, vol. 5(2), pages 373-396, June.
    5. Gupta, Pallavi, 2023. "Geospatial Multidimensional Poverty Gap in India: A rural and urban decomposition analysis," MPRA Paper 120408, University Library of Munich, Germany, revised 02 Dec 2023.
    6. Venugopal Mothkoor & Nina Badgaiyan, 2021. "Estimates of multidimensional poverty for India using NSSO-71 and -75," WIDER Working Paper Series wp-2021-1, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    Consumption expenditure; multidimensional poverty; poverty Indices; India;
    All these keywords.

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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