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Cited by 527

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Corruption, Income Distribution, and Growth

Open access
Li, Hongyi, Xu, Lixin Colin, Zou, Heng‐fu·2000·Economics & Politics
DOI 10.1111/1468-0343.00073
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Abstract

This paper uses an encompassing framework developed by Murphy et al. (1991, 1993) to study corruption and how it affects income distribution and growth. We find that (1) corruption affects income distribution in an inverted U‐shaped way, (2) corruption alone also explains a large proportion of the Gini differential across developing and industrial countries, and (3) after correcting for measurement errors, corruption seems to retard economic growth. But the effect is far less pronounced than the one found in Mauro (1995). Moreover, corruption alone explains little of the continental growth differentials. In countries where the asset distribution is less equal, corruption is associated with a smaller increase in income inequality and a larger drop in growth rates.

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Metadata

Authors
Li, H., Xu, L. C., & Zou, H.
Venue
Economics & Politics
Publisher
Wiley
Published
2000-07
Volume
12
Issue
2
Pages
155-182
ISSN
  • 0954-1985 (ISSN-L)
  • 1468-0343
DOI
10.1111/1468-0343.00073
OpenAlex
W2067183084
Cited by
527
References
21
FWCI
18.17
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Corruption, Income Distribution, and Growth. https://app.cochat.ai/papers/10.1111/1468-0343.00073
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Li, H., Xu, L. C., & Zou, H. (2000). Corruption, Income Distribution, and Growth. Economics & Politics. https://doi.org/10.1111/1468-0343.00073

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.