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Regional estimates of multidimensional poverty in India

Author

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  • Dehury, Bidyadhar
  • Mohanty, Sanjay K.
Abstract
Using unit data from the Indian Human Development Survey (IHDS), 2004-05, this paper estimates and decompose the multidimensional poverty dynamics in 84 natural regions of India. Multidimensional poverty is measured in the dimensions of health, knowledge, income, employment and household environment using ten indicators and Alkire-Foster methodology. The unique contributions of the paper are inclusion of a direct economic variable (consumption expenditure) to quantify the living standard dimension, decomposition of MPI across the dimensions and the indicators and provide estimates at sub-national level. Results indicate that about half of India's population are multidimensional poor with large regional variations. More than 70% of the population are multidimensional poor in the Mahanadi Basin, the southern region of Chhattisgarh and the Vindhya region of Madhya Pradesh, while it is less than 10% in the coastal regions of Maharashtra, Delhi, Goa, the mountainous region of Jammu and Kashmir, the Hills region and Plains region of Manipur, Puducherry and Sikkim. The decomposition of MPI indicates that economic dimension alone accounts for about one-third of multidimensional poverty in most of the regions of India. Based on these analyses, the authors suggest target based interventions in the poor regions to reduce poverty and inequality, and achieve the Millennium Development Goals in India.

Suggested Citation

  • Dehury, Bidyadhar & Mohanty, Sanjay K., 2015. "Regional estimates of multidimensional poverty in India," Economics Discussion Papers 2015-34, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:201534
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    References listed on IDEAS

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    Cited by:

    1. Shabana Mitra, 2018. "Re-Assessing “trickle-down” Using a Multidimensional Criteria: The Case of India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 497-515, April.
    2. Guie Li & Zhongliang Cai & Ji Liu & Xiaojian Liu & Shiliang Su & Xinran Huang & Bozhao Li, 2019. "Multidimensional Poverty in Rural China: Indicators, Spatiotemporal Patterns and Applications," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1099-1134, August.
    3. Sunil Khosla & Pradyot Ranjan Jena, 2023. "Using Multidimensional Poverty Measure to Target Right Beneficiaries to Achieve Sustainable Development Goal-1 in India," Indian Journal of Human Development, , vol. 17(2), pages 290-309, August.
    4. Khadija Waheed & Ali Iqtedar Mirza, 2020. "Estimation of Multidimensional Urban Poverty in South Asian Cities: A Case of Lahore Metropolitan Area," International Journal of Innovations in Science & Technology, 50sea, vol. 2(3), pages 61-79, September.
    5. Amrita Roy & Chandrima Chakraborti, 2023. "Disparity in income poverty and multidimensional poverty estimates: The Indian scenario with special reference to Salboni and Binpur‐I blocks," Poverty & Public Policy, John Wiley & Sons, vol. 15(1), pages 98-123, March.
    6. Anjan R. Chaudhury & Madhabendra Sinha, 2022. "Persistence of intergroup occupational disparity in India," Poverty & Public Policy, John Wiley & Sons, vol. 14(4), pages 437-467, December.
    7. Nettuno, Laura, 2024. "Gender identity, labor market outcomes, and socioeconomic status: Evidence from Chile," Labour Economics, Elsevier, vol. 87(C).
    8. Sabyasachi Tripathi & Komali Yenneti, 2020. "Measurement of Multidimensional Poverty in India: A State-level Analysis," Indian Journal of Human Development, , vol. 14(2), pages 257-274, August.
    9. Sanjay K Mohanty & Golam Rasul & Bidhubhusan Mahapatra & Dhrupad Choudhury & Sabarnee Tuladhar & E. Valdemar Holmgren, 2018. "Multidimensional Poverty in Mountainous Regions: Shan and Chin in Myanmar," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 23-44, July.
    10. 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.
    11. Sanjay K. Mohanty & Guru Vasishtha, 2021. "Contextualizing multidimensional poverty in urban India," Poverty & Public Policy, John Wiley & Sons, vol. 13(3), pages 234-253, September.
    12. Muhammad Asef Shaiq & Ali Akbar Barati & Khalil Kalantari & Ali Asadi, 2022. "Dimensions of Poverty in Kunduz Province of Afghanistan," World, MDPI, vol. 3(4), pages 1-14, November.
    13. Sushil Kr. Haldar & Sulekha Hembram & Suraj Das, 2023. "Multidimensional Human Deprivation in India: Does Club Convergence Exist?," Millennial Asia, , vol. 14(2), pages 200-227, June.
    14. 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).
    15. Sunil Kumar Mishra & Swati Dutta, 2022. "Single Versus Multiple Deprivations Among Children in India," Indian Journal of Human Development, , vol. 16(1), pages 97-118, April.

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    More about this item

    Keywords

    multidimensional poverty index; decomposition; regions; India;
    All these keywords.

    JEL classification:

    • I - Health, Education, and Welfare
    • J - Labor and Demographic Economics
    • Z - Other Special Topics

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