Geographically Weighted Regression

The Correlation Between the Development of Corruption Control and the Coverage of COVID-19 Vaccine: A Preliminary Study of Spatial Heterogeneity

This study attempts to explain the correlation between the level of corruption control and vaccination performance across countries, controlling for other important variables related to vaccination. The assumption is that countries with better corruption control are more likely to have better vaccination performance. Secondly, some past studies find that African countries generally performed poorly in vaccination, and form a spatial clustering of poor vaccination performance. It will be a spatial heterogeneous situation.

The Association between Corruption and E-governance in the World: A Pilot Study on Spatial Heterogeneity

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.

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