Faculty of Economic and Management Sciences
http://hdl.handle.net/10566/17
2024-03-19T02:07:42Z
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Defining and measuring time poverty in South Africa
http://hdl.handle.net/10566/9309
Defining and measuring time poverty in South Africa
Nackerdien, Faeez; Yu, Derek
This study primarily adopted the absolute approach to examine time poverty in South Africa by analysing the 2000 and 2010 Time Use Survey data. The findings indicated that absolute time-poor individuals were predominantly young unmarried female Africans who had incomplete primary education, were inactive in the labour market and resided in bigger-sized households in KwaZulu-Natal and Gauteng. Examining the relationship between money-metric poverty and absolute time poverty, the results showed the proportion of people who were both income- and time-poor decreased whereas the percentage of individuals who were neither income- nor time-poor increased over time. Last, money-metric, multidimensional non-money-metric and absolute time poverty headcount rates all declined between 2000 and 2010, but the extent of decrease was greatest in the first rate. © 2022 Government Technical Advisory Centre (GTAC).
2023-01-01T00:00:00Z
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Comparison of multifactor asset pricing models in the South African stock market [2000–2016]
http://hdl.handle.net/10566/9282
Comparison of multifactor asset pricing models in the South African stock market [2000–2016]
Mukoyi, Lenia; Ogujiuba, Kanayo
The quest for parsimonious models has been a key objective in asset pricing. However, there appears to be no consensus on the most successful asset pricing strategy in the literature, especially for the South African Market. Using financial statements from January 2000 to December 2015, this article explores how market anomalies affect the performance of securities in the Johannesburg Stock Exchange’s (JSE’s) resources, industrial, and finance sectors. We investigated the efficacy of several asset pricing models and their capacity to account for market anomalies in the JSE’s resources, industrial, and financial sectors, as well as the applicability of the Fama and French five-factor model. The study used multiple regression techniques and applied stationarity and cointegration methods to ensure robust results. Results also suggest that when the FF5FM is implemented, there is statistical significance at the 10% level for the CMA in the resources sector as the value factor disappears.
2022-01-01T00:00:00Z
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Making life liveable in an informal market Infrastructures of friendship amongst migrant street traders in Durban, South Africa
http://hdl.handle.net/10566/9270
Making life liveable in an informal market Infrastructures of friendship amongst migrant street traders in Durban, South Africa
Mbatha, Nomkhosi; Koskimaki, Leah
African migrants working in street trading business in Durban, South Africa oft en face xenophobia and must navigate policies regulating the informal economy. However, they sustain livelihoods in urban markets through building friendships while maintaining transnational connections back home. Based on qualitative research conducted in 2019 and 2021 with thirty street traders from Senegal, The Gambia, Nigeria, and Malawi at the Workshop Flea Market in Durban, the article interrogates the way in which friendship and conviviality emerge in informal market spaces. Building on AbdouMaliq Simone’s concept of “people as infrastructure,” we show how migrant street traders in the Workshop Market invest in the urban collective, while locally and transnationally connected through economic and aff ective exchanges.
2023-01-01T00:00:00Z
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Austerity measures, infrastructure and economic development in South Africa (1996–2019)
http://hdl.handle.net/10566/9261
Austerity measures, infrastructure and economic development in South Africa (1996–2019)
Mali, Kukhanyile; Sheefeni, Johannes
The paper aims to establish whether austerity measures promote economic development, improve infrastructure development, and whether they exacerbate infrastructure backlogs. The methodology used is a quantitative research method, sourcing secondary quarterly data from the South African Reserve Bank. The VAR model is used to analyse data between 1994 and 2019. The results showed that austerity measures have a significantly negative role in economic development. Also, they slow down investments that are crucial for infrastructure development. The results also pointed to the exacerbation of infrastructure backlogs caused by austerity measures
2023-01-01T00:00:00Z