【光华讲坛】Foreign Direct Investment, Governance and Economic Growth in Sub-Saharan Africa: Evidence from panel data analyses-经济与管理研究院 bat365入口_365bet世界杯欢迎您_万博365下载

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        【光华讲坛】Foreign Direct Investment, Governance and Economic Growth in Sub-Saharan Africa: Evidence from panel data analyses

        2018-04-09

        【光华讲坛】Foreign Direct Investment, Governance and Economic Growth in Sub-Saharan Africa: Evidence from panel data analyses

         

        题:Foreign Direct Investment, Governance and Economic Growth in Sub-Saharan Africa: Evidence from panel data analyses

        主讲人:Frank Wogbe Agbola,The University of Newcastle, Australia   

        主持人:Yan Dong, Professor, RIEM, SWUFE

        间:2018年4月13日(星期五)14:00-15:30

        点:柳林校区通博楼309会议室

        主办单位:经济与管理研究院 科研处

         

        主讲人简介:

        Frank Wogbe Agbola is an Associate Professor of Economics at The University of Newcastle,Australia. He got his PHD from the University of Queensland and worked at  Newcastle Business School as deputy head. He has published in many  economic journals such as Economic Modelling,Applied Economics, Energy Economics and Urban Economics.

        主讲内容:

        This study analyses the impact of foreign direct investment (FDI) and governance on economic growth in Sub-Saharan Africa and presents estimations based on panel data of 45 Sub-Saharan African countries during the period 1995-2014. Utilising the endogenous economic growth theoretic framework, the empirical models were estimated using Least Square Dummy Variable (LSDV) estimator. The empirical results show that FDI is positive and statistically correlated with economic growth in both the LSDV and system-GMM estimations, in low-income and lower-middle income countries and SSA, in aggregate. We find that human capital, domestic investment, trade openness is growth-enhancing, while infrastructure development does not affect economic growth in SSA. Our empirical results indicate that the impact of governance dimensions on FDI-growth nexus is mixed across income groupings and in SSA, in aggregate. The policy implications of the findings are discussed.

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