The recent surge in foreign capital inflows into developing countries has generated interest among researchers wanting to analyse the major determinants of Foreign Direct Investments in the motor industry (FDIsm). This dissertation investigates the determinants of FDI in the motor industry in South Africa. The underpinning theoretical literature in this study is the Micro-level theory of FDI and the Eclectic theory as well as empirical literature from several authors. The study used quarterly time series data, which covers the period 1994q1- 2008q4. FDIs are modeled as the function of economic growth, interest rates, exchange rate, education and the openness of the country. The variables in the model are tested for stationarity. Cointegration analysis was also used to test for long run relationships between the variables. The trace and the maximum eigenvalue tests suggest that there are at least two cointegration relationships, an error correction modelling technique is used to establish the determinants of foreign direct investment. The error correction model was estimated which provided both long run and short run parameter estimates. The results show that economic growth, education and the openness of the country are positively related to foreign direct investment in the motor industry. Interest rates and exchange rates negatively affect foreign direct investment in the motor industry in South Africa. The results of this study are also supported by the impulse response and variance decomposition tests. The policy recommendation that emanate from this study is that efforts should be made to boost the level of economic growth in order to enhance and attract more foreign investors. It is therefore important for the government to purse policies that will encourage economic growth.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ufh/vital:11459 |
| Date | January 2011 |
| Creators | Onceya, Siyabulela |
| Publisher | University of Fort Hare, Faculty of Management & Commerce |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Masters, M Com |
| Format | 101 leaves; 30 cm, pdf |
| Rights | University of Fort Hare |
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