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 income and con...
| Published in: | Humanities & Social Sciences Communications Vol. 11; no. 1; pp. 1 - 10 |
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| Main Authors: | , , , , |
| Format: | Article |
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Springer Nature
4/15/2024
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=176627905&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 176627905 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: MVR0 jtl: Humanities & Social Sciences Communications maglogo: N pubinfo: dt: 4/15/2024 vid: 11 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 176627905 10.1057/s41599-024-03005-5 ppf: 1 ppct: 9 formats: tig: atl: Investigation of multidimensional poverty in Pakistan at the national, regional, and provincial level. aug: au: Haq, Wajiha Azam, Mir Babar, Zaki Amir, Saad Said, Fareyha affil: https://ror.org/03w2j5y17 National University of Sciences and Technology, Department of Economics, School of Social Sciences and Humanities, Islamabad, Pakistan https://ror.org/00rzspn62 Faculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia su: Poverty reduction Poverty Poor people Standard of living Income National income Multidimensional databases Pakistan sug: subj: Pakistan Poverty reduction Poverty Poor people Standard of living Income National income Multidimensional databases ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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