Can Female Representation Reduce Corruption? A Meta-Analysis

Female representation in government has long been advocated for promoting good governance, and its potential effect on corruption has attracted sustained scholarly attention. Yet theoretical reasoning and evidence remain fragmented and contested. This preregistered meta-analysis, synthesizing 588 effect sizes from 57 quantitative studies, confirms a statistically significant negative association between female representation and corruption. It further shows that this effect is larger in studies using subjective corruption measures, descriptive representation, only one type of female representation, and excluding country-fixed effects. The results advance our understanding of how and when female representation influences corruption and offer insights for anti-corruption policies.

Authors

Institutions

Publication Details

Journal
Administration & Society
Published
2026-05-12
DOI
https://doi.org/10.1177/00953997261441813
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

Can Female Representation Reduce Corruption? A Meta-Analysis

Juan Du, Xufeng Zhu, Xiaojia Zhu
Administration & Society
Corruption and Economic Development
article

Can Female Representation Reduce Corruption? A Meta-Analysis

Juan Du, Xufeng Zhu, Xiaojia Zhu
article en

Abstract

Female representation in government has long been advocated for promoting good governance, and its potential effect on corruption has attracted sustained scholarly attention. Yet theoretical reasoning and evidence remain fragmented and contested. This preregistered meta-analysis, synthesizing 588 effect sizes from 57 quantitative studies, confirms a statistically significant negative association between female representation and corruption. It further shows that this effect is larger in studies using subjective corruption measures, descriptive representation, only one type of female representation, and excluding country-fixed effects. The results advance our understanding of how and when female representation influences corruption and offer insights for anti-corruption policies.

Administration & Society
East China Normal University (CN), Tsinghua University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
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.