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Rich Country Corruption
Abstract
Corruption in rich countries is different to corruption in poor countries. There are many analyses and models of corruption in poor countries, and interventions are structured with these in mind. When analyzing corruption in rich countries, borrowing from the experiences in poorer countries does not fit well with public administration practices. Ironically, citizens in rich countries have high levels of perceived corruption, yet they reported very little personal experience with corruption in any form. This article uses data to outline some corruption risks and proposes that any analysis focuses on classifying specific types of corruption in rich countries.
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“Graycar and Monaghan (2015) highlight that anti‐corruption policies are mostly centered on features of corruption found predominantly in developing countries and leave behind other relevant determinants of corruption in developed countries (Graycar & Monaghan, 2015).”
From Public sector reforms and their impact on the level of corruption: A systematic review (2021) · cites this paper as Graycar & Monaghan, 2015
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References 30 · Cited by 49
Research works printed but not linked: 27
- Brown A. J., 2008, Measuring corruption
- 10.1007/s11127-006-9102-4 · DOI
- Chabal P., 1999, Africa works: Disorder as a political instrument
- 10.1257/aer.89.5.1327 · DOI
- 10.1080/01402380701500322 · DOI
- Gorta A., 2006, Measuring corruption, 203
- 10.1057/9781137335098 · DOI
- 10.1108/13590791211266377 · DOI
- Grossman G. M., 2001, Special interest politics
- Hacker J. S., 2010, Winner-takes-all politics: How Washington made the rich richer - and turned its back on the middle class
- Heidenheimer A. J., 2002, Political corruption: Concepts and contexts. Piscataway Township
- Heidenheimer A. J., 2009, Political corruption: A handbook
- 10.1215/9780822387732 · DOI
- Huffington A., 2011, Third world America: How our politicians are abandoning the middle class and betraying the American Dream
- Gibney A., 2005, Enron: The smartest guys in the room [Motion picture]
- Johnston M., 1982, Political corruption and public policy in America
- Johnston M., 1996, International Social Science Journal, 48, 321, 10.1111/1468-2451.00035 · DOI
- 10.1017/CBO9780511490965 · DOI
- Kaufmann D., 1998, Economics of Corruption (Vol. 65, pp. 129–176)
- Kaufmann D., 2013, World governance indicators project
- Kellner D., 2012, International Journal of Communications, 6, 1169
- Lessig L., 2011, Republic, lost: How money corrupts congress – and a plan to stop it
- McLean B., 2003, The smartest guys in the room: The amazing rise and scandalous fall of Enron
- Mills G., 2012, Why Africa is poor: And what Africans can do about it
- 10.1207/S15327930pje8001_5 · DOI
- Salter M. S., 2010, Lawful but corrupt: Gaming and the problem of institutional corruption in the private sector (Working Paper 11-060)
- Sampford C., 2006, Measuring corruption
Metadata
- Authors
- Graycar, A., & Monaghan, O.
- Affiliations
- Australian National University (AU)
- Corresponding author
- Graycar, Adam
- ORCID
- Graycar, Adam
- Venue
- International Journal of Public Administration
- Publisher
- Informa UK Limited
- Published
- 2015-05-05
- Volume
- 38
- Issue
- 8
- Pages
- 586-595
- ISSN
- 0190-0692 (ISSN-L)
- 1532-4265
- OpenAlex
- W1533936278
- Cited by
- 49
- References
- 30
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 2 · 2022: 5 · 2021: 6 · 2020: 8 · 2019: 5 · 2018: 4 · 2017: 6 · 2016: 2
- FWCI
- 13.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Public Administration (publishedVersion)
- Flinders Academic Commons (Flinders University) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Flinders Academic Commons (Flinders University) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Corruption and Economic Development
- Social Sciences › Sociology and Political Science › Crime, Illicit Activities, and Governance
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Taxation and Compliance Studies
- Keywords
- corruption, high-income countries, corruption risk, corruption perception, types of corruption, anti-corruption interventions, public administration, cross-national comparison
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- CoChat. (2026). Citation check: Rich Country Corruption. https://app.cochat.ai/papers/10.1080/01900692.2014.949757
- The paper
- Graycar, A., & Monaghan, O. (2015). Rich Country Corruption. International Journal of Public Administration. https://doi.org/10.1080/01900692.2014.949757
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.