This study examined the role of export diversification on economic growth in South Africa. The study used annual time series data for the period covering 1980 to 2010 and employed a Vector Error Correction Model to determine the effects of export diversification and possible factors that affect it on economic growth. Possible factors that affect export diversification considered as independent variables in this study include gross capital formation, human capital, real effective exchange rate and trade openness. Results of the study reveal that export diversification and trade openness are positively related to economic growth while real effective exchange rate, capital formation and human capital have negative long run relationships with economic growth. The study recommended the continual implementation of trade liberalisation by the South African government. The South African government is also encouraged to promote the production of a diversified export basket through subsidisation, promotion of innovation and production of new products.

The neoclassical theory suggests that free flows of external capital should be equilibrating and thereby facilitating smoothening of an economy's consumption or production patterns. South Africa has a very low savings rate, making it highly dependent on capital inflows which create instability and volatility in global markets. A policy dilemma is undoubtedly evident: capital inflows help to cater for the domestic low savings and at the same time the inflows pose instability, a threat on competitiveness and volatility challenges to the same economy due to their impact on exchange rates. The question is: are all forms of capital flows equally destabilizing? Since studies based on South Africa considered only the relationship between aggregate capital flows and real exchange rate, modelling individual components of capital flows could enlighten policy formulation even further. The composition of the flows and their effects on the composition of aggregate demand determine the evolution of real exchange rate response to surges in capital flows. Through co-integration and vector error correction modelling techniques applied to South African data between 1990 and 2010, the study found out that foreign portfolio investment exerts the greatest appreciation effect on the South African real exchange rate, followed by other investment and finally foreign direct investment. Thus the impact of capital flows on real exchange rate in South Africa differs by type of capital. This presents varied policy implications.

This study examined the impact of real exchange rates on economic growth in South Africa. The study used quarterly time series data for the period of 1994 to 2010. The Johansen cointegration and vector error correction model was used to determine the impact of real exchange on economic growth in South Africa. The explanatory variables in this study were real exchange rates, real interest rates, money supply, trade openness and gross fixed capital formation. Results from this study revealed that real exchange rates, gross fixed capital formation and real interest rates have a positive long run impact on economic growth, while money supply and trade openness have a negative long run impact on economic growth in South Africa. From the regression results, it was noted that undervaluation of the currency significantly hampers growth in the long run, whilst it significantly enhances economic growth in the short run. As such, the policy of depreciating the exchange rates to achieve higher growth rates is only effective in the short run and is not sustainable in the long run. Based on the findings of this study, the researcher recommended that misalignment (overvaluation and undervaluation) of the currency should be avoided at all costs. In addition, the results of the study showed that interest rates also have a significant impact on growth and since interest rates have a bearing on the exchange rate, it was recommended that the current monetary policy in South Africa should be maintained.

MCOM / Department of Economics / The choice of a weak or strong currency has been at the center of the debate in most developing economies as exchange rates play a vital role in a country’s level of economic growth. This growth is critical to many developing economies. The study assessed the role of real exchange rate on economic growth in South Africa from 1994, first quarter, to 2015, fourth quarter. The study used time-series data in which Augmented Dicky Fuller and Philip Perron tests for stationarity, cointegration test, Vector Error Correction Model (VECM) approach for the long-run relationship were conducted. Impulse Response Function (IRF) and Variance Decomposition (VD) were also conducted to explain the response to shock amongst variables and how much of the forecasting error variance is explained by the exogenous shocks to other variables. VECM results showed a positive role exchange rates play on economic growth in South Africa. The study’s implication is that currency devaluation (exchange rates depreciation) can be effective in improving economic growth in the short-run. Nonetheless, a strong currency is good for economic growth in the long-run as it attracts foreign investments and a good instrument for controlling inflation. Thus, basing on the findings of the study, the floating exchange rate system adopted by South Africa in 2000 can be maintained.

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)

Foreign exchange banking organisations afford individuals great career opportunities, and therefore endeavour to attract high-caliber employees who are self-motivated and create the dynamic, innovative and professional culture characteristic of the organisation. Retaining key talent characterised by skills shortages has become an imperative for sustaining competitive business performance in a fast-changing economic environment. The general aim of this research was to develop a model of employee motivation and job satisfaction for staff retention practices in a foreign exchange banking organisation. The concepts of employee motivation, job satisfaction and employee retention were discussed with regard to their history, conceptual foundation, theoretical approaches, types, variables and consequences. The theoretical model was developed accordingly on the basis of the literature review, and revealed the factors that could influence employee retention. The main purpose of the empirical research was to operationalise the theoretically derived motivation and job satisfaction concepts, statistically determine the underlying variables of motivation and job satisfaction that influence employee retention and develop a structural equation model to verify the theoretical model. A quantitative empirical research paradigm using the survey method was followed. Explanatory and descriptive research was used in this study, with a sample of 341 foreign exchange banking individuals drawn from a financial institution. Three questionnaires and a biographical questionnaire were adapted and administered to employees. The Work Preference Inventory (WPI) measured employee motivation, the Job Satisfaction Survey (JSS) measured job satisfaction, and the Employee Retention Questionnaire (ERQ) measured employee retention intention. A structural equation model development strategy produced a new best-fitting retention model based on the new constructs postulated in the factor analysis. The model indicated that job satisfaction explained the highest variance of retention when compared to motivation. The research should contribute towards a comprehensive understanding of the factors that influence employee retention. The new model of employee motivation and job satisfaction for staff retention practices in a South African foreign exchange banking organisation could assist organisations in retaining skilled and talented staff. The study should encourage practitioners to take cognisance of the fact that organisations are different and that the motivation and job satisfaction factors for employee retention need to be considered. / Public Administration and Management / D. Com. (Industrial and Organisational Psychology)