Коррупция и прямые иностранные инвестиции: решение проблемы неопределенности

<p>This dissertation first assesses the relationship between corruption and inward foreign direct investment (FDI) utilising data from the Business Environment and Enterprise Performance Survey (BEEPS). Then it delves deeper to examine the relationship between two dimensions of corruption: pervasive and arbitrary, and FDI. A majority of prior research utilising perception based measure for corruption has argued that corruption adds onto the cost of doing business for multinational enterprises (MNEs), suggesting a negative relationship between corruption and FDI. From the sample data of 89 emerging countries provided by the BEEPS data set, the study has found no significant relationship between corruption and FDI. The examination on pervasive and arbitrary corruption, via a sample data of 40 emerging countries, likewise supports the initial finding that level of corruption, the pervasive aspect, has no effect on FDI. However the uncertainty of corruption, the arbitrary aspect, is found to have a significant negative impact on FDI. The uncertainty associated with corruption is thus more detrimental to FDI that the level of corruption.</p>