The DOI matches its Crossref record.
Corruption: A Review
Abstract
As is increasingly recognised in academic literature and by international organisations, corruption acts as a major deterrent to growth and development. The aim of this survey is to organise and summarise existing theoretical and empirical work on corruption with a view to identifying opportunities for further research. The paper begins with a brief overview of key definitions of corruption, and then turns to a review of the factors that favour or deter the growth of corruption together with a brief look at related models. This is followed by an examination of the consequences of corruption for society, and the consideration of measures that might help to reduce corruption. The paper ends with suggestions for future research and includes summaries of data sources and key variables for use in this research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The importance of faith: Tax morale and religiosity
Torgler, B. (2006) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2004.10.007 · Cited by 506
Tonoyan, V., Strohmeyer, R., Habib, M., & Perlitz, M. (2010) · Entrepreneurship Theory and Practice · doi:10.1111/j.1540-6520.2010.00394.x · Cited by 455
US political corruption and firm financial policies
Smith, J. D. (2016) · Journal of Financial Economics · doi:10.1016/j.jfineco.2015.08.021 · Cited by 398
E-Government, Internet Adoption, and Corruption: An Empirical Investigation
Elbahnasawy, N. G. (2014) · World Development · doi:10.1016/j.worlddev.2013.12.005 · Cited by 342
Degrees of integrity: the threat of corruption in higher education
Chapman, D. W., & Lindner, S. (2016) · Studies in Higher Education · doi:10.1080/03075079.2014.927854 · Cited by 152
Metadata
- Authors
- Jain, A. K.
- Venue
- Journal of Economic Surveys
- Publisher
- Wiley
- Published
- 2001-02
- Volume
- 15
- Issue
- 1
- Pages
- 71-121
- ISSN
- 0950-0804 (ISSN-L)
- 1467-6419
- OpenAlex
- W1991774331
- Cited by
- 1,379
- References
- 0
- FWCI
- 39.44
- Type
- journal article
- Language
- en
- Open access
- closed
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: Corruption: A Review. https://app.cochat.ai/papers/10.1111/1467-6419.00133
- The paper
- Jain, A. K. (2001). Corruption: A Review. Journal of Economic Surveys. https://doi.org/10.1111/1467-6419.00133
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.
