Do local corruption-related convictions shape perceptions of country-level corruption?

Purpose Corruption occupies an important place in contemporary economic, business and ethics research. Scholars have exploited either survey results or the number of convictions to measure corruption. This study aims to examine whether and how local corruption convictions affect corruption perceptions. Design/methodology/approach The authors use data on convictions for corruption offenses to estimate logit and ordered logit models, and explain the results of a survey on corruption perceptions conducted that covered more than 2,000 people from Poland. Findings The relationship between local convictions and corruption perceptions is negative, non-linear and moderated by survey respondent characteristics. Interestingly, treating the absence of convictions as a license for corrupt behavior does not apply to respondents who are entrepreneurs and managers. Originality/value First, the unique empirical approach based on local conviction rates and the general perception of corruption intensity helps in understanding how corruption perceptions are shaped. Hence, the conclusions may help in interpreting future research results on the relationship between corruption, and various financial and economic phenomena. Second, the study complements the modest literature on corruption in Central European post-transition countries.

Authors

Institutions

Publication Details

Journal
Studies in Economics and Finance
Published
2026-01-21
DOI
https://doi.org/10.1108/sef-05-2025-0366
Primary Topic
Corruption and Economic Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do local corruption-related convictions shape perceptions of country-level corruption?

Łukasz Kozłowski, Krzysztof Jackowicz
Studies in Economics and Finance
Corruption and Economic Development
article

Do local corruption-related convictions shape perceptions of country-level corruption?

Łukasz Kozłowski, Krzysztof Jackowicz
article en

Abstract

Purpose Corruption occupies an important place in contemporary economic, business and ethics research. Scholars have exploited either survey results or the number of convictions to measure corruption. This study aims to examine whether and how local corruption convictions affect corruption perceptions. Design/methodology/approach The authors use data on convictions for corruption offenses to estimate logit and ordered logit models, and explain the results of a survey on corruption perceptions conducted that covered more than 2,000 people from Poland. Findings The relationship between local convictions and corruption perceptions is negative, non-linear and moderated by survey respondent characteristics. Interestingly, treating the absence of convictions as a license for corrupt behavior does not apply to respondents who are entrepreneurs and managers. Originality/value First, the unique empirical approach based on local conviction rates and the general perception of corruption intensity helps in understanding how corruption perceptions are shaped. Hence, the conclusions may help in interpreting future research results on the relationship between corruption, and various financial and economic phenomena. Second, the study complements the modest literature on corruption in Central European post-transition countries.

Studies in Economics and FinanceVol. 43(2)
Kozminski University (PL)
Peace, Justice and strong institutions
Openalex Percentile: Top 85%
Corruption and Economic Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.