This study empirically investigates the spatial heterogeneity of the association between e-governance and the control of corruption by utilizing a geographically weighted regression (GWR). The results from using OLS reveal that e-government and e-participation are powerful tools in reducing corruption globally. In addition, the results of the GWR show that spatial heterogeneity exists among the different models (e-government and e-participation), and that the GWR provides better insight into the association between e-governance and the control of corruption. It can thus serve as a useful instrument in studies on corruption.