The results show that the corruption level in the host country has an adverse effect on FDI inflows when eliminating GDP per capita in the regression. Analytically the paper uses fixed effects (FE) as the preferable model.

Data were obtained from Transparency International, World Bank Development Indicators, Worldwide Governance Indicators and United Nations Conference on Trade and Development. Equally important, both economic factors such as GDP per capita, GDP growth, inflation and degree of openness, and quality of institutions or governance indicators such as voice and accountability, political stability and absence of violence, government effectiveness and rule of law are considered in the analysis. The paper contributes to the existing literature by modeling the relationship between corruption and FDI inflows using two measures of corruption, namely corruption perception index (CPI) and control of corruption (CC). Motivated by these issues, this paper examines the effects of corruption on FDI inflows by incorporating an econometric method based on panel data from 5 East African countries over the 1996-2015 period. In addition, the existing literature provides controversial results. However, in East Africa, the study of the nature of corruption as well as its relationship with FDI is scanty in socio-economic literature. At the same time, corruption continues to be one of the greatest obstacles to economic and social development in these countries. Foreign direct investment (FDI) has become an important factor of development in low income countries.

Corruption by Kim Fielding