MSc (Statistics) / Department of Statistics / Foreign direct investment plays an important role in the economic growth process in the host country, since foreign direct investment is considered as a vehicle transferring new ideas, capital, superior technology and skills from developed country to developing country. Non-parametric quantile regression is used in this study to estimate the relationship between foreign direct investment and the factors in uencing it in South Africa, using the data for the period 1996 to 2015. The variables are selected using the least absolute shrinkage and selection operator technique, and all the variables were selected to be in the models. The developed non-parametric quantile regression models were used for forecasting the future in ow of foreign direct investment in South Africa. The forecast evaluation was done for all models and the laplace radial basis kernel, ANOVA radial basis kernel and linear quantile regression averaging were selected as the three best models based on the accuracy measures (mean absolute percentage error, root mean square error and mean absolute error). The best set of forecast was selected based on the prediction interval coverage probability, Prediction interval normalized average deviation and prediction interval normalized average width. The results showed that linear quantile regression averaging is the best model to predict foreign direct investment since it had 100% coverage of the predictions. Linear quantile regression averaging was also con rmed to be the best model under the forecast error distribution. One of the contributions of this study was to bring the accurate foreign direct investment forecast results that can help policy makers to come up with good policies and suitable strategic plans to promote foreign direct investment in ows into South Africa. / NRF

This study examines the indirect linkages between foreign direct investment (FDI) and economic growth in South Africa utilising 36 years’ (1980-2016) time series data obtained from the South African Reserve Bank (SARB). South Africa’s economy has been experiencing unsteadiness in recent years. Despite the government’s execution of different strategic initiatives to draw in FDI into South Africa, the country’s FDI remains lower than that of other emerging economies. Domestic investment by government, public corporations and the private sector is also relatively unsteady. Slow economic growth has put tremendous weight on the government to borrow externally for developmental purposes. This study tests two models – model I and model II. In model I, real GDP per capita (RGDP) is the dependent variable and foreign direct investment (FDI), domestic investment (DI), real exchange rate (EXR) and foreign debt (FD) are modelled as explanatory variables while in model II, FDI is the dependent variable and RGDP, DI, EXR and FD are modelled as explanatory variables. Domestic investment is sub-divided into credit to the domestic private sector (CPS), public investment (PI) by public corporations and government investment expenditure (GOVIN). The analysis of the relationship was carried out using econometric methods such as the Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) unit root tests to identify the order of integration of the variables. The bounds cointegration test was applied to establish the long-term association among variables. The Autoregressive Distributed Lag (ARDL) model was utilised to test the long-run and short-run equilibrium conditions. Diagnostic tests were employed to check the model adequacy and the Granger causality tests were utilised to establish the causal relationships among variables. The discoveries from the ADF and PP tests uncovered that all the variables are non-stationary at level but became stationary at first differences. The bounds tests suggest that there is a long-run relationship and cointegration between variables. Following the presence of cointegration, the outcomes from ARDL model uncovered that FDI, CPS and GOVIN have a positive relationship with RGDP in the long run (crowding-in effect), while, a negative relationship occurs between PI, FD, EXR and RGDP in the long run (crowding-out effect) in model I. In model II, the outcomes revealed that RGDP, CPS, and PI have a positive relationship with FDI in the long run (crowding-in effect). Then again, the outcomes presented a negative connection between GOVIN, FD and v © Pamba, D, University of South Africa 2020 EXR to FDI in the long run (crowding-out effect). The short-run estimate of the coefficient of the error correction term (ECM) in model I and model II are statistically significant and negative. The negative indication of the error correction term shows a backward movement towards long-run equilibrium from short-run disequilibrium. In model I, the short-run coefficient results uncovered that FDI, lagged PI and lagged EXR are positively linked with RGDP (crowding-in effect). Then again, lagged CPS and lagged GOVIN are inversely related to RGDP (crowding-out effect). In model II, the short-run coefficient of FDI is certainly related to GOVIN (crowding-in effect). FDI, on the other hand, indicated a negative relationship with PI in the short run (crowding-out effect). The Granger causality tests for the variables uncovered a unidirectional causal connection running from RGDP to FDI and from FDI to RGDP in both models. The outcomes obtained for RGDP and FDI models pass all the diagnostic tests on serial correlation, normality and heteroscedasticity. The test for adequacy performed on the residuals demonstrates that they are homoscedastic and have no serial correlation, signifying that the model is acceptable. The Cumulative Sum (CUSUM) tests show that the extracted models are structurally steady and remain within the 5 percent level of critical bounds. / Economics / M. Com. (Economics)

This study focuses on foreign direct investment ("FDI") and its importance to the economy of South Africa. Recognising that FDI, notwithstanding the type, can contribute to economic growth and development, most countries including South Africa are constantly working to attract it, and hence its demand has become highly competitive. However, FDI does not go without some negative effects, such as conflicts between host and investor country, and the creation of damaging competition to local firms. These negative effects could be minimised if policies and strategies for the promotion and attraction of FDI is part of, and integrated into, general economic development and economic reform policies, and not seen in isolation. Although South Africa has implemented strategies to attract more FDI, a refinement of some of these policies is needed if the country is to be successful in this regard. / Economics / M. Comm. (Economics)

This study focuses on foreign direct investment ("FDI") and its importance to the economy of South Africa. Recognising that FDI, notwithstanding the type, can contribute to economic growth and development, most countries including South Africa are constantly working to attract it, and hence its demand has become highly competitive. However, FDI does not go without some negative effects, such as conflicts between host and investor country, and the creation of damaging competition to local firms. These negative effects could be minimised if policies and strategies for the promotion and attraction of FDI is part of, and integrated into, general economic development and economic reform policies, and not seen in isolation. Although South Africa has implemented strategies to attract more FDI, a refinement of some of these policies is needed if the country is to be successful in this regard. / Economics / M. Comm. (Economics)