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Cited by 395

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

What Wins Votes: Why Some Politicians Opt Out of Clientelism

Open access
Weitz‐Shapiro, Rebecca·2012·American Journal of Political Science

Abstract

In a context where clientelism is widespread, why do some politicians choose not to condition the delivery of goods and services to citizens on individual political behavior? I argue that the answer to this question lies in the heretofore unexamined electoral costs of clientelism: clientelism decreases support from nonpoor constituents even while it generates votes from among the poor. Taking into account these costs and other factors that shape politician incentives, I posit that the interaction between political competition and poverty will explain variation in clientelism. I test this claim using an original measure of clientelism that assesses mayoral involvement in social policy implementation in Argentine municipalities. The results of statistical analysis suggest that high levels of political competition are compatible with clientelism when poverty is also high. Only when high competition is coupled with low rates of poverty does clientelism decline.

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Crossref · 10.1111/j.1540-5907.2011.00578.x

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Metadata

Authors
Weitz‐Shapiro, R.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2012-02-21
Volume
56
Issue
3
Pages
568-583
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W1689521121
Cited by
395
References
47
FWCI
118.05
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: What Wins Votes: Why Some Politicians Opt Out of Clientelism. https://app.cochat.ai/papers/10.1111/j.1540-5907.2011.00578.x
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Weitz‐Shapiro, R. (2012). What Wins Votes: Why Some Politicians Opt Out of Clientelism. American Journal of Political Science. https://doi.org/10.1111/j.1540-5907.2011.00578.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.