Thesis (Ph. D.)--University of Birmingham, 1983. / Includes bibliographical references (p. 191-198).

Thesis (M.Phil.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 248-259) Also available in print.

Thesis (Ph. D.)--Ohio State University, 1985. / Includes vita. Includes bibliographical references (leaves 106-113). Available online via OhioLINK's ETD Center.

This thesis aims to investigate a variety of dimensions of the relationship between foreign direct investment (FDI) and economic growth in developing and transition economies. The main purpose of this thesis is to examine empirically the location determinants of FDI, and its effect on economic growth and domestic investment. The purpose of the first chapter is to assess empirically the main location determinants of FDI, particularly focusing on non-classical factors of FDI, such as institutional quality and agglomeration effects, using a sample of 54 developing and transition economies from Asia, Latin America, Sub-Saharan Africa and Eastern Europe over the period 1997 to 2011. High quality of institutions, the existing level of FDI (persistence effect), market size, infrastructure development and the openness of host economy to international trade are shown as main driving factors to FDI inflow to the host economy. Using dynamic system GMM model helps to take into account endogeneity, simultaneity, heteroscedasticity and autocorrelation issues. The second empirical chapter examines, within a new growth theory framework, the role that FDI plays in the growth process in the context of 49 developing and transition economies characterised by different absorptive capacities for 1997-2011. The results for the two-step system GMM model show that FDI stock affects negatively on economic growth in the long run. The host economies start facing positive effects of FDI on their long run economic growth when they meet a certain level of threshold with respect to several absorptive capacities, such as open international trade policies, sufficient levels of human capital and infrastructure development. Finally, the third empirical chapter assesses the extent to which FDI in 53 developing and transition economies crowds in or crowds out domestic investment over the period 1997-2011. The results of dynamic system GMM model indicate that FDI stimulates domestic investment, supporting the “crowd-in-hypothesis”. Also, the study finds out significantly positive correlation of output growth rate to domestic investment, supporting the accelerator theory. Moreover, this chapter studies that the stock of domestic investment, financial system development, trade openness of the host economy to international trade and high quality of institutions encourage other individuals to start their businesses in the host country. The study has also shown that macroeconomic instability measured by high inflation rate reduces domestic investment in the country.

Foreign investors prefer to enter the South African market via portfolio flows. While other emerging markets are actively pursuing foreign direct investment (FDI) and taking advantage of its spillover effect, South Africa is losing out on the opportunity. South Africa is considered to be one of the most attractive investment destinations, with an abundance of natural resources, a sophisticated financial market and a relatively stable political environment. Why is South Africa trailing behind? And what are the economic factors that can influence FDI? And How can South Africa become more attractive? Linear regression analysis was done on economic data, collected from 30 countries, to determine the relationship between FDI inflow, economic growth, exchange rate and inflation. Experts in the field of macroeconomics were interviewed to gain a better understanding of these relationships and apply them in a South African context. This research found that FDI follows economic growth, but the reverse is inconclusive. Inflation has a negative impact, while the effect of exchange rate was debated. The reason for portfolio flows into South Africa was identified in the literature review, and it suggested that the success of South Africa created the preference toward portfolio flows. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

Inaug.-Diss.--Tübingen, 1971. / Vita. eContent provider-neutral record in process. Description based on print version record. Bibliography: p. vii-xxii.

Thesis (Ph. D.)--Georgetown University, 2002. / Includes bibliographical references (leaves 364-404).

Thesis (Ph. D.)--University of Notre Dame, 2005. / Thesis directed by Jaime Ros for the Department of Economics. "October 2005." Includes bibliographical references (leaves 241-264).

Thesis (Ph. D.)--Rutgers University, 2000. / Vita. Includes bibliographical references (leaves 180-196).

M.A. / The discipline of political risk analysis has often been criticised as a ‘soft science’. As the title of this study suggest, the major challenge of this study is set out to provide an empirical analysis of political risk and to prove that political risk can indeed be measured. The aim of this study is to provide an empirical analysis of political risk by testing the reliability of current risk assessment approaches to accurately forecast political risk. There have not been many attempts to test the reliability of political risk assessment models. However, Howell & Chaddick (1994) tested the reliability of three (EIU, PRS and BERI) political risk assessment models to accurately forecast risk projections in the period 1982-1994. This study will revisit the test done by Howell & Chaddick (1994) in order to determine the reliability of three forecast models. In order for forecasts to be reliable, forecasts must be justified and defended by applying practical logic. Practical logic implies that theory be tested against real world experience. Hence, a reliable analysis will require that actual losses be tested against theory. Therefore, in addressing the connection between theory and actual losses, this study will correlate losses incurred in the period 1994- 2004 with theory. Due to the nominal nature of the concept political risk, there has been a lack of consensus in the field on what constitute political risk. This study will provide a conceptual clarification of political risk. A brief discussion of the underlying theoretical background in political risk is required in order to understand the concept of political risk and terms thereof. Hence, this study will establish a theoretical base of political risk analysis. This study argue that low political risk encourage foreign direct investment. The relationship between political risk and foreign direct investment will be analysed in this study. It is hoped that in light of this study’s findings, a case can be putt III forth that multi-national corporations can use political risk analysis to minimise exposure to losses and as an extension of political risk analysis, multi-national corporations can use political risk insurance to hedge against political risks. The outcomes of this study aim to prove that political risk can be empirically tested and measured and that the analysis of political risk is essential to successfully manage political risks.