Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (leaves 109-116).

<p>Private investment in Botswana as well as a ratio to Gross Domestic Product has been falling in some periods of 1976-2003. Viewed against the background of growing evidence of a link between investment and economic growth, an inconsistent and downward trend in Botswana's private investment is a matter of concern. Several studies in developing countries emphasize the importance of macroeconomic policy in explaining variations in investment, an in particular, identify the microeconomic determinants of private investment to include interest rates, output growth, public investment, bank credit to the private sector, inflation, real exchange rate, and the level of trade. This study evaluated the macroeconomic determinants of private investment in Botswana by means of a regression analysis based on the co-integration and Error Correction Model of Engle and Granger (1987).</p>

Thesis (M.A.)--Ohio University, November, 2009. / Title from PDF t.p. Includes bibliographical references.

Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (leaves 109-116).

Doctorat en sciences sociales, politiques et économiques / info:eu-repo/semantics/nonPublished

Magister Economicae - MEcon / Private investment in Botswana as well as a ratio to Gross Domestic Product has been falling in some periods of 1976-2003. Viewed against the background of growing evidence of a link between investment and economic growth, an inconsistent and downward trend in Botswana's private investment is a matter of concern. Several studies in developing countries emphasize the importance of macroeconomic policy in explaining variations in investment, an in particular, identify the microeconomic determinants of private investment to include interest rates, output growth, public investment, bank credit to the private sector, inflation, real exchange rate, and the level of trade. This study evaluated the macroeconomic determinants of private investment in Botswana by means of a regression analysis based on the co-integration and Error Correction Model of Engle and Granger (1987). / South Africa

This paper is focused on economic development of the People's Republic of China during the last decade. The aim of this paper is to analyse the economic transformation and identify key factors holding back the economic growth. In the theoretical part of this paper there will be a short introduction of China. Some Chinese social and economic specifics will also be explained. The end of this chapter will be focused on historical economic reforms and current goals for the economy. Next chapter will be focused on analysis of the economy in the last decade using the official available data. In the conclusion of this paper there will be presented findings and key factors holding back the economic growth of China.

Competitiveness has been part of central, monetary policy making for over 500 years where regions have aimed to improve competitiveness and productivity by focussing on specific factors. The focus of the research was to identify which factors are most relevant for the African continent on determining competitiveness which will allow policy makers to understand how best to direct their investment with the greatest productivity return. The research methodology was quantitative in nature, based on secondary data from the Global Competitiveness Report over the past five years. The sample included 39 of the 54 African countries which are the countries on which the report collected data from. The unit of analysis was GDP per capita. A multivariate Generalised Linear Model with a log link function and Gamma error structure was built. The results showed that the order of importance for Africa was macroeconomic stability; infrastructure; technological readiness; and market size with the other factors not having a material influence. Building a similar model on all the countries have included two additional factors namely health and primary education as well as higher education and training. This indicates that certain structural factors are more important for countries in the developing phase such as Africa. / Dissertation (MBA)--University of Pretoria, 2014. / lmgibs2015 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted

Philosophiae Doctor - PhD / Savings is essential for boosting economic growth. Low savings in a country will have negative consequences for both investment and economic growth. South Africa has continued to expe rience declining saving rates and in recent years, accompanied by declining economic growth. The study evaluated savings in South Africa by decomposing it into household saving, cor porate saving and public saving. The focus was to investigate the determinants of household savings, corporate and public savings. In addition to examining the determinants of savings, the research has also analysed the saving-investment relationship for South Africa. The study used a Bayesian vector auto regressive model to investigate the determinants of household sav ing from 1980Q1 to 2017Q4. The results of the investigation on household saving showed that GDP, inflation rate, and financial deepening determine household saving in South Africa. The Bayesian VAR was also used to identify the determinant of budget deficit between 1980Q1 to 2017Q and found Real GDP, inflation rate, total government debt, investment by general government and the inflation rate to be determinants. The Blundel-Bond Generalized Method of Moment (GMM) was used to investigate the determinants of corporate saving in form of cash holding for 80 non-financial firms listed on the JSE between 2007 and 2017. The results showed leverage, cash flow, debt maturity and previous amounts of cash holding to have significant effect on cash holding in SA. Lastly, the study examined the saving-investment nexus for South Africa using yearly data from 1980 to 2016. Using the Autoregressive Distributed lag (ARDL) and the Error Correction Model, (ECM), the study found a cointegrating relationship between domestic saving and domestic investment. It further found a positive relationship between domestic saving and domestic investment in both the short and long run. Causality analysis showed a unidirectional causality from domestic saving to domestic investment.

This study empirically investigates the role Development Finance Institutions (DFIs) play in the economic growth of Zambia from 1992: Q1 to 2015: Q4. The main aim of the study is to find out if DFIs enhance economic growth in Zambia and if the growth witnessed over the study period was in fact improved by these inflows. Additionally, a multiple regression is run against the exchange rate, inflation unemployment and interest rate to further analyse the interaction of these variables with DFI inflows and how they have impacted the growth levels experienced in Zambia. The findings show that the impact DFIs on the GDP are ambiguous. In current period and DFI lagged to 2 periods prior, has a depressing effect whilst DFI lagged one period has an encouraging effect on GDP levels. Furthermore, from the cointegration tests, it is evident that there is a long run relationship that exists, signifying that the positive effects of DFIs can be felt in future periods especially if deployed to key sectors. The regression results of the other variables are in line with macro-economic theory which suggests that DFI inflows need to be supplemented with stable macro conditions to boost the degree of positive impact on GDP. To ensure future benefit to Zambia from DFI inflows; recommendations preferred to authorities inferred from the findings include, directing of these funds to job and revenue generating sectors that can increase export revenue. These sectors may include agriculture and manufacturing. Furthermore, it is cardinal that institutional infrastructures are put in place that effect legal and monitoring framework to ensure efficient deployment of these funds within the economy.