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A geographically disaggregated analysis of multidimensional poverty in Punjab

Author

Listed:
  • Asim Iqbal
  • Anjum Siddiqui
  • Maryam Zafar

Abstract

Purpose - The study seeks to examine the extent and the causes of multidimensional poverty as opposed to the traditional unidimensional headcount poverty measures to understand the true face of economic deprivation in Punjab, Pakistan. Design/methodology/approach - Poverty is measured through the Alkire–Foster index at the geographically disaggregated levels of divisions and districts, and the causes of pervasive poverty are analyzed through a logit model using the Multiple Indicators Cluster Survey (MICS) comprising of 95,238 households in 9 geographical divisions and their 36 districts. Findings - It was found that poverty in Punjab is associated with larger household size, inadequate wealth, and low levels of educational attainment, and that both matric as well as post-matric education reduced the chances of poverty of household heads by approximately 19 percent. In addition to rural poverty, the study finds evidence of urban poverty across the geographical districts of Punjab. Contrary to common belief that chances of poverty are higher in females, it was found to be more likely in males. However, the statistical significance of gender as a determinant of poverty was not observed in the majority of divisions. Practical implications - Practical implications were for focused policy interventions in poverty alleviation. Originality/value - The analysis of determinants of multidimensional poverty at the geographically disaggregated level of divisions is an original contribution. Peer review - The peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-01-2019-0037

Suggested Citation

  • Asim Iqbal & Anjum Siddiqui & Maryam Zafar, 2020. "A geographically disaggregated analysis of multidimensional poverty in Punjab," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 47(3), pages 365-383, February.
  • Handle: RePEc:eme:ijsepp:ijse-01-2019-0037
    DOI: 10.1108/IJSE-01-2019-0037
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    Citations

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    Cited by:

    1. Syed Jaffar Abbas & Asim Iqbal, 2024. "Multidimensional Child Poverty and Spatial Interdependencies in Punjab, Pakistan," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(4), pages 1715-1740, August.
    2. Calvin Mudzingiri & Gibson Mudiriza & Getrude Jana & Regret Sunge, 2024. "The effect of local climatic conditions on household consumption: a case study of South Africa," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    3. Salman Mahmood & Wen Shuhui & Shoaib Aslam & Tanveer Ahmed, 2023. "Financial Inclusion: Does it matter in Alleviating Poverty in Pakistan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 1125-1146, October.
    4. Salman Mahmood & Wen shuhui & Shoaib Aslam & Tanveer Ahmed, 2022. "The Financial Inclusion Development and Its Impacts on Disposable Income," SAGE Open, , vol. 12(2), pages 21582440221, April.
    5. Jorge Garza-Rodriguez & Gustavo A. Ayala-Diaz & Gerardo G. Coronado-Saucedo & Eugenio G. Garza-Garza & Oscar Ovando-Martinez, 2021. "Determinants of Poverty in Mexico: A Quantile Regression Analysis," Economies, MDPI, vol. 9(2), pages 1-24, April.

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