國立臺灣大學政治科學論叢

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Previous studies on the correlation between female representation and national corruption control have focused mostly on theoretical or practical reasoning. This study attempts to explore the correlation between female representation and corruption control in countries using cross-national data from 2010 to 2020. Additionally, using the geographical and temporal weighted regression (GTWR) model, the study seeks to understand the extent of heterogeneity in the correlation between female representation and corruption control across geographical spaces and periods.

The study finds that the global corruption control index improved slightly between 2010 and 2020, rising from an average of -0.004 to -0.001, indicating some progress in the control of corruption in countries around the world. Meanwhile, women’s participation in politics, education, and the general economy has gradually increased, with the percentage of women serving as members of parliament showing a significant positive correlation with corruption control. However, female participation in other areas such as education, business, law, and the broader economy show a less significant correlation with corruption control.

In addition, the results reveal that factors such as GDP per capita, the level of rule-of-law governance, and levels of freedom are positively correlated with corruption control across countries. The findings of the GTWR model further indicate that the correlations between corruption control and the percentage of female parliamentarians, GDP per capita, and levels of freedom exhibit spatio-temporal heterogeneity. However, the correlation between the rule- of-law and corruption control remains positive and consistent across time and space, without any observed heterogeneity. These findings provide further empirical validation of the relationship between female representation and corruption control.