This thesis aims to investigate the impact of state fragility on capital inflows and economic growth in Nigeria over the period 1980-2015. In line with existing studies, it adopts an augmented neoclassical growth model where capital is divided into domestic and foreign capital inflows (FDI, ODA and Remittances). Using an autoregressive distributed lag (ARDL) bounds testing approach to co-integration, significant long-run relationship was confirmed between state fragility, capital flows and economic growth. The results reveal domestic capital to be very significant and contribute positively to economic growth. Similarly it was observed that remittances remain a very crucial form of capital flow to Nigeria and that the presence of state fragility makes it more significant. For ODA a positive contribution to economic growth was observed, however, the presence of state fragility renders it insignificant. In the case of FDI, the study found a negative relationship between FDI and economic growth albeit insignificant. However, the presence of state fragility makes it significant but still negative. A negative relationship was also observed between state fragility and economic growth. These findings, implies that while the issue of state fragility needs to be addressed and concerted efforts put into building state resilience, not just for the direct impact of state fragility on the economy, but also its impact on the economy through other channels such as capital flows.

The main purpose of the study is to examine the cointegration relationships among economic growth, foreign direct investment and financial sector development in 4 East Asian countries, namely Korea, Malaysia, the Philippines and Thailand between the years 1971-2008 by autoregressive distributed lag (ARDL) approach. In the existing literature, there is no study examining the causal relationships among economic growth, foreign direct investment and financial sector development by applying ARDL methodology for these East Asian countries. The contribution of this study to the literature, the cointegration relationships are constructed to observe the direct linkage among these variables by ARDL approach. If cointegration relationships exist among these variables, then the effect of each regressor on the dependent variable is also investigated. The results of the study indicate that foreign direct investment and financial sector development could be long run forcing variables of economic growth. Additionally, economic growth and financial sector development could be long run forcing variables of foreign direct investment. However, there is not sufficient evidence that economic growth and foreign direct investment together are long run key determinants of financial sector development in a country as obtained in this study.

Liberalisation of trade is deepening, and so have the incentive schemes put in place by a number of countries to promote it. International trade promotion agencies in developing countries are actively promoting their countries as the best, with which to trade. With international trade emerging as a favourite source of revenue and technology transfer for most countries, profound questions about the impact of trade liberalisation to economic growth are addressed in this study. The main purpose of this study is to empirically assess the relationship between trade liberalisation and economic growth in Zimbabwe using annual time series data from 1980 to 2017. Autoregressive distributed lag (ARDL) bounds testing approach to cointegration and Error Correction Mechanism (ECM) are applied in order to investigate the long run and short run impact of trade liberalisation on economic growth. The results proved the existence of a positive long-run relationship between trade liberalisation and economic growth. The study therefore concludes that policy makers and government negotiators in Zimbabwe should introduce policies that promote openness through the removal of barriers to trade and export promotion in order to promote overall growth of the economy. / Economics / M. Com (Economics)

Until very recently, most emerging market economies have achieved higher growth rates for the last decade. It is controversial whether this good economic environment is due to domestic reforms or due to favorable external factors. In this framework, the main aim of this study is to investigate the structure and sources of business cycles in emerging market economies and to determine how these cycles differ than those in developed countries. The role of external and domestic factors on business cycles are analyzed by applying not only the conventional panel data estimations but also common correlated effects panel mean group method which is introduced by Peseran (2006). Besides, the convergence of business cycles in emerging market economies to the business cycles in developed countries is discussed based on factor analysis. The major results indicate the common global factors are the leading source of the business cycles both in emerging market economies and developed countries. However, domestic determinants of fluctuations differ across two groups of countries. In addition, results show that in the last two decades fluctuations in emerging market economies have started to be more dependent on the fluctuations in developed countries.

Thesis (M. Commerce (Economics)) -- University of Limpopo, 2016 / The purpose of this paper is to ascertain the impact of the real effective exchange rate on South Africa‟s trade balance and whether the J-curve phenomenon and the Marshal-Lerner condition are satisfied in the economy. Using data spanning the period 1980Q1 – 2014Q4, the Autoregressive Distributed Lag (ARDL) bounds test as well as the Johansen cointegration test were employed to test for the long run cointegrating relationship between the variables. The ARDL approach was employed to estimate both the long run and short run models as well as to ascertain whether the Marshal – Learner condition as well as the J-curve phenomenon are satisfied in the RSA economy. The results from the cointegration tests show that there is a stable long run equilibrium relationship between the trade balance, real effective exchange rate, domestic GDP, money supply, terms of trade and foreign reserves. The results from the Autoregressive Distributed Lag long run model show that a depreciation of the ZAR improves the trade balance, thus confirming the MarshalLerner condition. The results further reveal that domestic GDP and money supply both have a significant negative impact on the trade balance in the long run with the terms of trade reported positive as well. Foreign reserves were not found to significantly affect the trade balance in the long run. In the short run, the ARDL error correction model shows that a ZAR depreciation leads to a deterioration of the trade balance, thus confirming the J-curve effect for the RSA economy. The terms of trade effect was reported positive in the short run, thus confirming the Harberger-LaursenMetzler effect (HLME) in the process. Money supply, domestic GDP and foreign reserves are also found to have a significant negative impact on the trade balance in the short run. Finally, the error correction model reveals that about 26% of the disequilibrium in the trade balance model is corrected in each quarter.