Patronage in Rural Punjab: Evidence from a New Household Survey Dataset
AbstractThe intervention of local elites is often cited as an impediment to policy implementation in many developing countries. In this paper, we present initial results from an original primary household dataset from eight tehsils of rural Punjab, Pakistan. We examine descriptive statistics on patron–client interaction and correlations between household characteristics and that relationship. The study raises some key findings. First, households report connections with a range of officials; they interact most heavily with local officials, but a large number of households also report interacting with their provincial and national politicians. Second, many households report receiving active assistance both fromlocal officials and from provincial and national politicians in accessing certain state services, in particular in applying for national identity cards. Third, households report links with many patrons outside their own biraderi or clan. Fourth, vulnerable households, such as landless and female-headed households, appear less likely tointeract with and less likely to receive assistance from patrons, suggesting thatpatronage activity could increase the inequality of outcomes. Fifth, better-off households appear more likely to assist patrons in a range of areas. Finally, local officials and politicians had tended to recommend candidates in the last election, and rural households were strongly convinced that their vote was not secret from their patrons or officials. This is possibly consistent with patronage-based politics and bloc voting.
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Bibliographic InfoArticle provided by Department of Economics, The Lahore School of Economics in its journal Lahore Journal of Economics.
Volume (Year): 18 (2013)
Issue (Month): Special Edition (September)
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Patron; client; rural; Pakistan.;
Find related papers by JEL classification:
- P16 - Economic Systems - - Capitalist Systems - - - Political Economy of Capitalism
- D7 - Microeconomics - - Analysis of Collective Decision-Making
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