Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 49Corruption and Economic DevelopmentCrime, Illicit Activities, and GovernanceTaxation and Compliance Studies

The DOI matches its Crossref record; its reference list is not available.

Rich Country Corruption

Graycar, Adam, Monaghan, Olivia·2015·International Journal of Public Administration

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.

Overview

Integrity signals

Registry

Crossref · 10.1080/01900692.2014.949757

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 30 · Cited by 49

Research works printed but not linked: 27

  1. Brown A. J., 2008, Measuring corruption
  2. 10.1007/s11127-006-9102-4 · DOI
  3. Chabal P., 1999, Africa works: Disorder as a political instrument
  4. 10.1257/aer.89.5.1327 · DOI
  5. 10.1080/01402380701500322 · DOI
  6. Gorta A., 2006, Measuring corruption, 203
  7. 10.1057/9781137335098 · DOI
  8. 10.1108/13590791211266377 · DOI
  9. Grossman G. M., 2001, Special interest politics
  10. Hacker J. S., 2010, Winner-takes-all politics: How Washington made the rich richer - and turned its back on the middle class
  11. Heidenheimer A. J., 2002, Political corruption: Concepts and contexts. Piscataway Township
  12. Heidenheimer A. J., 2009, Political corruption: A handbook
  13. 10.1215/9780822387732 · DOI
  14. Huffington A., 2011, Third world America: How our politicians are abandoning the middle class and betraying the American Dream
  15. Gibney A., 2005, Enron: The smartest guys in the room [Motion picture]
  16. Johnston M., 1982, Political corruption and public policy in America
  17. Johnston M., 1996, International Social Science Journal, 48, 321, 10.1111/1468-2451.00035 · DOI
  18. 10.1017/CBO9780511490965 · DOI
  19. Kaufmann D., 1998, Economics of Corruption (Vol. 65, pp. 129–176)
  20. Kaufmann D., 2013, World governance indicators project
  21. Kellner D., 2012, International Journal of Communications, 6, 1169
  22. Lessig L., 2011, Republic, lost: How money corrupts congress – and a plan to stop it
  23. McLean B., 2003, The smartest guys in the room: The amazing rise and scandalous fall of Enron
  24. Mills G., 2012, Why Africa is poor: And what Africans can do about it
  25. 10.1207/S15327930pje8001_5 · DOI
  26. Salter M. S., 2010, Lawful but corrupt: Gaming and the problem of institutional corruption in the private sector (Working Paper 11-060)
  27. Sampford C., 2006, Measuring corruption

Metadata

Authors
Graycar, A., & Monaghan, O.
Affiliations
Australian National University (AU)
Corresponding author
Graycar, Adam
Venue
International Journal of Public Administration
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
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.