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Multidimensional Poverty in Pakistan: Case of Punjab Province

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  • Masood Sarwar Awan
  • Muhammad Waqas
  • Muhammad Amir Aslam

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.

Suggested Citation

  • Masood Sarwar Awan & Muhammad Waqas & Muhammad Amir Aslam, 2011. "Multidimensional Poverty in Pakistan: Case of Punjab Province," Journal of Economics and Behavioral Studies, AMH International, vol. 3(2), pages 133-144, August.
    • Handle: RePEc:rnd:arjebs:v:3:y:2011:i:2:id:2264
    DOI: 10.22610/jebs.v3i2.264
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