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Cited by 509

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

The Merit of Meritocratization: Politics, Bureaucracy, and the Institutional Deterrents of Corruption

Open access
Dahlström, Carl, Lapuente, Victor, Teorell, Jan·2012·Political Research Quarterly

Abstract

Comparative studies of corruption focus on the selection and incentives of policymakers. With few exceptions, actors who are in charge of implementing policies have been neglected. This article analyzes an original data set on the bureaucratic features and its effects on corruption in fifty-two countries. Two empirical findings challenge the conventional wisdom in literature. First, certain bureaucratic factors, particularly meritocratic recruitment, reduce corruption, even when controlling for a large set of alternative explanations. Second, the analysis shows that other allegedly relevant bureaucratic factors, such as public employees’ competitive salaries, career stability, or internal promotion, do not have a significant impact.

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Crossref · 10.1177/1065912911408109

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Metadata

Authors
Dahlström, C., Lapuente, V., & Teorell, J.
Venue
Political Research Quarterly
Published
2011-06-16
Volume
65
Issue
3
Pages
656-668
ISSN
  • 1065-9129 (ISSN-L)
  • 1938-274X
OpenAlex
W1981932895
Cited by
509
References
3
FWCI
47.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Merit of Meritocratization: Politics, Bureaucracy, and the Institutional Deterrents of Corruption. https://app.cochat.ai/papers/10.1177/1065912911408109
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Dahlström, C., Lapuente, V., & Teorell, J. (2012). The Merit of Meritocratization: Politics, Bureaucracy, and the Institutional Deterrents of Corruption. Political Research Quarterly. https://doi.org/10.1177/1065912911408109

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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.