Factors Determining FDI to Nigeria: An Empirical Investigation
AbstractThis study empirically investigates the determinants of foreign direct investment (FDI) to Nigeria during 1970-2006. This study suggests that the endowment of natural resources, trade intensity, macroeconomic risk factors like inflation and exchange rates are significant determinants of FDI flow to Nigeria. The findings also suggest that in long run market size is not the significant factor for attracting FDI to Nigeria, it contradicts the existing literature. Our results indicate that FDI flow to Nigeria is resource-seeking FDI. Results also suggest that trading partner like the UK in North-South (N - S) and China in South-South (S - S) trade relation have strong influence on Nigeria’s natural resource outflow.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 28097.
Date of creation: Jul 2008
Date of revision: Nov 2010
FDI; Natural resource export; exchange rate; openness; inflation rate; VECM; North-South and South-South trade;
Other versions of this item:
- Dinda, Soumyananda, 2009. "Factors determining FDI in Nigeria: an empirical investigation," MPRA Paper 40172, University Library of Munich, Germany, revised 16 Jul 2012.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
- O55 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Africa
- F18 - International Economics - - Trade - - - Trade and Environment
- O13 - Economic Development, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
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