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Cited by 320

The DOI matches its Crossref record; 186 of the 186 references it cites were found in a registry or an index.

The institutional economics of corruption and reform: theory, evidence, and policy

·2007·Choice Reviews Online

Abstract

Corruption has been a feature of public institutions for centuries yet only relatively recently has it been made the subject of sustained scientific analysis. Lambsdorff shows how insights from institutional economics can be used to develop a better understanding of why corruption occurs and the best policies to combat it. He argues that rather than being deterred by penalties, corrupt actors are more influenced by other factors such as the opportunism of their criminal counterparts and the danger of acquiring an unreliable reputation. This suggests a novel strategy for fighting corruption similar to the invisible hand that governs competitive markets. This strategy - the 'invisible foot' - shows that the unreliability of corrupt counterparts induces honesty and good governance even in the absence of good intentions. Combining theoretical research with state-of-the-art empirical investigations, this book will be an invaluable resource for researchers and policy-makers concerned with anti-corruption reform.

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Metadata

Venue
Choice Reviews Online
Published
2007-09-01
Volume
45
Issue
01
Pages
45-0389-45-0389
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W2106866736
Cited by
320
References
186
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: The institutional economics of corruption and reform: theory, evidence, and policy. https://app.cochat.ai/papers/10.5860/choice.45-0389
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The institutional economics of corruption and reform: theory, evidence, and policy. (2007). Choice Reviews Online. https://doi.org/10.5860/choice.45-0389

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.