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Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level

To achieve the sustainable development goal of ``no poverty'', many attempts have been made to measure poverty so that policy intervention can target the right people with the correct intensity. Since the traditional method of a unidimensional approach using monetary indicators, such as in...

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Main Authors: Haq, Wajiha, Azam, Mir, Babar, Zaki, Amir, Saad, Said, Fareyha
Format: Article
Published: Springer Nature 2024
Subjects:
HC Economic History and Conditions
Online Access:http://eprints.um.edu.my/45313/
https://doi.org/10.1057/s41599-024-03005-5
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spelling my.um.eprints.453132024-10-08T08:23:01Z http://eprints.um.edu.my/45313/ Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level Haq, Wajiha Azam, Mir Babar, Zaki Amir, Saad Said, Fareyha HC Economic History and Conditions To achieve the sustainable development goal of ``no poverty'', many attempts have been made to measure poverty so that policy intervention can target the right people with the correct intensity. Since the traditional method of a unidimensional approach using monetary indicators, such as income and consumption, is now considered insufficient, a multidimensional approach has been employed using non-monetary indicators. The latter approach encompasses the different poverty aspects affecting an individual's capabilities and functioning. This study aimed to calculate multidimensional poverty in Pakistan using the Alkire & Foster method and Pakistan Social and Living Standards Measurement (PSLM) published by the Pakistan Bureau of Statistics data for 2018-19. To further complete the research, a binary logistic regression has been run to measure the effects of a deviation in income status on multidimensional poverty to see the impact of monetary income on non-monetary measures. Results show that the national global Multidimensional Poverty Index (MPI) is 0.24, meaning that multidimensionally poor people in Pakistan experience 24% of the total deprivations. The most deprived dimension of the three is education (44.7%), which needs special attention. Furthermore, if a household's total annual income increases and becomes more significant than the mean income of the sample, the household's probability of being multidimensionally poor will decrease. This implies that with the increase in average national income, the national poverty will reduce not only in absolute terms but also multidimensionally. This study's findings have several implications for policymakers, and the results of the MPI should align the allocation of public sector resources calculated to give a geographical and sectoral image of the poverty situation, which will guide policy designs and allocation of budget and resources. Springer Nature 2024-04 Article PeerReviewed Haq, Wajiha and Azam, Mir and Babar, Zaki and Amir, Saad and Said, Fareyha (2024) Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level. Humanities & Social Sciences Communications, 11 (1). p. 517. ISSN 2662-9992, DOI https://doi.org/10.1057/s41599-024-03005-5 <https://doi.org/10.1057/s41599-024-03005-5>. https://doi.org/10.1057/s41599-024-03005-5 10.1057/s41599-024-03005-5
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic HC Economic History and Conditions
spellingShingle HC Economic History and Conditions
Haq, Wajiha
Azam, Mir
Babar, Zaki
Amir, Saad
Said, Fareyha
Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level
description To achieve the sustainable development goal of ``no poverty'', many attempts have been made to measure poverty so that policy intervention can target the right people with the correct intensity. Since the traditional method of a unidimensional approach using monetary indicators, such as income and consumption, is now considered insufficient, a multidimensional approach has been employed using non-monetary indicators. The latter approach encompasses the different poverty aspects affecting an individual's capabilities and functioning. This study aimed to calculate multidimensional poverty in Pakistan using the Alkire & Foster method and Pakistan Social and Living Standards Measurement (PSLM) published by the Pakistan Bureau of Statistics data for 2018-19. To further complete the research, a binary logistic regression has been run to measure the effects of a deviation in income status on multidimensional poverty to see the impact of monetary income on non-monetary measures. Results show that the national global Multidimensional Poverty Index (MPI) is 0.24, meaning that multidimensionally poor people in Pakistan experience 24% of the total deprivations. The most deprived dimension of the three is education (44.7%), which needs special attention. Furthermore, if a household's total annual income increases and becomes more significant than the mean income of the sample, the household's probability of being multidimensionally poor will decrease. This implies that with the increase in average national income, the national poverty will reduce not only in absolute terms but also multidimensionally. This study's findings have several implications for policymakers, and the results of the MPI should align the allocation of public sector resources calculated to give a geographical and sectoral image of the poverty situation, which will guide policy designs and allocation of budget and resources.
format Article
author Haq, Wajiha
Azam, Mir
Babar, Zaki
Amir, Saad
Said, Fareyha
author_facet Haq, Wajiha
Azam, Mir
Babar, Zaki
Amir, Saad
Said, Fareyha
author_sort Haq, Wajiha
title Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level
title_short Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level
title_full Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level
title_fullStr Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level
title_full_unstemmed Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level
title_sort investigation of multidimensional poverty in pakistan at the national, regional, and provincial level
publisher Springer Nature
publishDate 2024
url http://eprints.um.edu.my/45313/
https://doi.org/10.1057/s41599-024-03005-5
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score 13.211869

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