Multidimensional Poverty Mapping for Rural Pakistan

This paper has been presented at 1st International Conference on Business, Economics, & Education Management – ICBEM Organized by Institute of Business Administration Sukkur, December 15-16, 2016.

27 Pages Posted: 30 Mar 2018

See all articles by Abdul Hameed

Abdul Hameed

Innovative Development Strategies (Pvt.) Ltd. (IDS)

Ihtsham ul Haq Padda

Federal Urdu University of Arts, Science & Technology

Shahid Karim

Government College University Lahore - Department of Geography

Date Written: December 15, 2016

Abstract

This paper estimates and maps the multidimensional poverty for rural Pakistan. It uses micro data from household surveys to construct the Multidimensional Poverty Index (MPI) with human development indicators like education, health, standard of living and wealth. Furthermore, it identifies multiple deprivations at individual level contributions in education, health, standard of living and wealth in the rural multidimensional poverty as overall and district levels. The results show that the 59 percent rural population of Pakistan is poor. The district Thatta, in Sindh, district Dera Ghazi Khan in Punjab and the district Nowshera in the KPK record highest multidimensional poverty index. No district is included from Baluchistan due to unavailability of data. It is expounded that the policy makers can develop the strategies to reduce the rural poverty by enhancing rural education, improving living standards and creating opportunities for income.

Keywords: Multidimensional poverty, Education, Living standard, Wealth, Rural Pakistan

JEL Classification: D10, I10, I20, I32, R2

Suggested Citation

Hameed, Abdul and Padda, Ihtsham ul Haq and Karim, Shahid, Multidimensional Poverty Mapping for Rural Pakistan (December 15, 2016). This paper has been presented at 1st International Conference on Business, Economics, & Education Management – ICBEM Organized by Institute of Business Administration Sukkur, December 15-16, 2016., Available at SSRN: https://ssrn.com/abstract=3149119 or http://dx.doi.org/10.2139/ssrn.3149119

Abdul Hameed (Contact Author)

Innovative Development Strategies (Pvt.) Ltd. (IDS) ( email )

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Ihtsham ul Haq Padda

Federal Urdu University of Arts, Science & Technology ( email )

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Karachi, Sindh 744000
Pakistan

Shahid Karim

Government College University Lahore - Department of Geography ( email )

Pakistan

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