Does Microcredit Help the Poor and Financially Marginalized Communities? Experience of Pakistan
Zahoor Khan () and
Jamalludin Sulaiman ()
Additional contact information
Zahoor Khan: Universiti Sains Malaysia
Jamalludin Sulaiman: Universiti Sains Malaysia
Chapter Chapter 3 in Poverty Reduction Policies and Practices in Developing Asia, 2015, pp 31-52 from Springer
Abstract:
Abstract The study aims to evaluate the microcredit programs operating across the Pakistan. Microsurvey dataMicrosurvey data collected by Gallup Pakistan at the national level have been used. The sample size of the study consists of 2,070 respondents. The impact of the microcredit program on their clients has been evaluated by using descriptive statistics, multiple regression, the mean difference model (MDM), and quartiles. The study reveals that microcredit program in Pakistan may not be helpful for extreme poor in its operational areas across the country because disbursement of credit to the lower quartile income poor does not yield fruitful income change. Despite an overall positive change (7.76 %) in income, these programs show weak evidences of benefiting the lower quartile communityQuartile community members during the study period. The study suggests that microcredit is not equally beneficial to all segments of the poor.
Keywords: Microcredit; Impact assessment; Pakistan (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:esichp:978-981-287-420-7_3
Ordering information: This item can be ordered from
http://www.springer.com/9789812874207
DOI: 10.1007/978-981-287-420-7_3
Access Statistics for this chapter
More chapters in Economic Studies in Inequality, Social Exclusion, and Well-Being from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().