Thesis (M.A.)--University of Hong Kong, 1999. / Includes bibliographical references. Also available in print.

Thesis (doctoral)--Institute of Social Studies, The Hague, Netherlands, 2007. / Includes bibliographical references (p. 258-277).

Thesis (doctoral)--University of Oulu, 2007. / Includes bibliographical references (p. 226-238). Also available on the World Wide Web.

The development of infrastructure has always been one of the greatest challenges faced by the South African government since the advent of democracy in 1994. Recognizing this challenge, government committed itself to the pursuit of Public-Private Partnerships for the development of infrastructure as early as 1996. SANRAL and Transnet are the two national agencies responsible for the development of transportation infrastructure in the country. While both agencies are battling to fulfill their mandates, SANRAL seems to be the one battling the most. The organization is responsible for all national and some provincial roads. Between the years 2000-2011, they reported profits for only three periods while incurring losses for the rest. SANRAL faces a daunting task. Firstly, their annual budget allocation from government is insufficient to address the backlogs on their non-toll roads network. Secondly, they are not allowed to cross-subsidize non-toll roads with revenue from the toll roads. Lastly, they have been requested by parliament to double their roads network. The aim of this study was to analyse the development of transportation infrastructure through Public Private Partnerships with focus on the Maputo Development Corridor, a cross-border transportation corridor initiative implemented by the governments of South Africa and Mozambique through Public Private Partnerships. The analysis was carried out using secondary research data as well as other data on the case study. The objectives of this study were adapted from those of the Maputo Development Corridor and then analysed in terms of the rationale for Public-Private Partnerships, their benefits and limitations as discussed in the Public-Private Partnerships literature reviewed. The findings of this study are that in general the purpose of using Public-Private Partnerships for the Maputo Corridor Development was achieved as there were more high benefits than low benefits. However, the initiative as a whole has failed to delivery sufficiently on social aspects such as job creation. The initiative has also failed to mitigate the high negative impacts of the limitations. It should be noted that the results of this study are an interpretation of the researcher and this interpretation is based purely on the data obtained. This study calls for further research to be carried out on the socioeconomic benefits of tolling of roads through Public-Private Partnerships based on the challenges faced by SANRAL as discussed above as well as the current public opposition to the tolling of roads. / Thesis (MBA) North-West University, Mafikeng Campus, 2012

published_or_final_version / Civil Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / Business Administration / Master / Master of Business Administration

M.Comm. / Each year, in an attempt to alleviate poverty, government invests large parts of the budget to provide infrastructure to poor households in South Africa. This not only necessitates an understanding of the effectiveness of government’s infrastructure delivery rate to address poverty in South Africa, but also raises important questions on how the poor can be identified. In recent years, countries have moved away from traditional broad poverty measures such as gross national income (GNI) per capita and Human Development Index (HDI). Information on poverty and other household information are more often collected through household surveys. From these surveys, monetary and non-monetary poverty measures can be used to identify the poor. By making use of a monetary poverty measure such as expenditure, per capita household expenditure can be calculated. Households are divided into quintiles based on their per capita household expenditure, and the bottom 20 and 40 per cent are usually the benchmark for households to be identified as being poor. This is analysed in terms of the poor’s access to services and other household characteristics. Qualitative regression models have gained more recognition in econometrics, especially in the social sciences field. Information collected from household surveys is often qualitative, or binary in nature. Due to the non-linear nature of binary-dependent variable models, logit and probit models were appropriate for this study. The maximum likelihood method, within the binary choice framework, was employed to determine the extent to which infrastructure delivery and other household characteristics have an impact on poverty. The results provided empirical evidence that infrastructure investment can significantly reduce the likelihood that a household will be poor, given a set of characteristics.

Thesis (Ph. D.)--University of Texas at Austin, 2000. / Vita. Includes bibliographical references (leaves 284-292). Available also in a digital version from Dissertation Abstracts.

Thesis (Ph. D.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 129-140).

Thesis (M.A.)--West Virginia University, 2001. / Title from document title page. Document formatted into pages; contains v, 108 p. Vita. Includes abstract. Includes bibliographical references (p. 68-69).