Published online by Cambridge University Press: 26 January 2017
At the turn of the twenty-first century, an important pair of studies established that greater female representation in government is associated with lower levels of perceived corruption in that government. But recent research finds that this relationship is not universal and questions why it exists. This article presents a new theory explaining why women’s representation is only sometimes related to lower corruption levels and provides evidence in support of that theory. The study finds that the women’s representation–corruption link is strongest when the risk of corruption being detected and punished by voters is high – in other words, when officials can be held electorally accountable. Two primary mechanisms underlie this theory: prior evidence shows that (1) women are more risk-averse than men and (2) voters hold women to a higher standard at the polls. This suggests that gender differences in corrupt behavior are proportional to the strength of electoral accountability. Consequently, the hypotheses predict that the empirical relationship between greater women’s representation and lower perceived corruption will be strongest in democracies with high electoral accountability, specifically: (1) where corruption is not the norm, (2) where press freedom is respected, (3) in parliamentary systems and (4) under personalistic electoral rules. The article presents observational evidence that electoral accountability moderates the link between women’s representation and corruption in a time-series, cross-sectional dataset of seventy-six democratic-leaning countries.
Department of Political Science, Rice University (email: [email protected]); Department of Political Science, Rice University (email: [email protected]). We would like to thank the participants and audiences at the numerous workshops and departmental colloquia where we presented this paper, including ‘Why is Gender Equality Good for Governance?’ at Freie Universitat, Berlin; the University of Tennessee; the University of Maryland; the Center for Women’s Leadership at Portland State University; the Quality of Government Institute at the University of Gothenburg; the European Conference on Politics and Gender in Uppsala, Sweden; and ITAM, Mexico City. We also thank Margit Tavits for sharing the data that she and Leslie Schwindt-Bayer collected. Data replication sets including logs, analysis scripts and data files are available at http://dataverse.harvard.edu/dataverse/BJPolS and online appendices are available at https://doi.org/doi:10.1017/S0007123416000478.