Multidimensional Poverty in Pakistan: Case of Punjab Province

Masood Awan (), Muhammad Waqas () and Muhammad Aslam

MPRA Paper from University Library of Munich, Germany

Abstract: This paper applies Alkire & Foster (2007) approach for measuring the multidimensional poverty. The data set used in the study is Multiple Indicator Cluster Survey 2003-04 of Punjab, Pakistan. Eight dimensions used in the study are Housing, Water, Sanitation, Electricity, Assets, Education, Expenditure, and Land. Results shows that at cut off K=2; Rajanpur, Muzaffargarh, Rahimyar Khan, Kasur, Okara and Lodhran respectively are the most multidimensionally poor districts of Punjab whereas, Gunj Buksh Town Lahore, Ravi Town Lahore, Cantt Town Lahore, Sialkot, Rawalpindi, Allama Iqbal Town Lahore, Gujranwala and Jhelum are the least deprived Towns/Districts of Punjab province. Dimension wise breakdown shows that Land deprivation, expenditure, sanitation, housing and education are respectively the major contributors among overall multidimensional poverty.

Keywords: Multidimensional Poverty; Pakistan; MDGs (search for similar items in EconPapers)
JEL-codes: D63 I3 I32 (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-hme
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Citations: View citations in EconPapers (8)

Published in Journal of Economics and Behavioral Studies 2.3(2011): pp. 133-144

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Journal Article: Multidimensional Poverty in Pakistan: Case of Punjab Province (2011)
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