2021
DOI: 10.1080/0376835x.2021.1983411
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Exploring unemployment differentials between former and non-former homeland areas in South Africa: A decomposition approach

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Cited by 8 publications
(3 citation statements)
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“…These differences across provinces reflect a rural-urban divide. Even 25 years after the transition to a democratic system, the mobility of the rural population is severely restricted by high transport costs, resulting in an unemployment gap of 24% between former homelands and non-former homeland areas (Kwenda, Benhura and Mudiriza 2020). The population of traditional settlement areas is black (Table 1).…”
Section: Youth Unemploymentmentioning
confidence: 99%
“…These differences across provinces reflect a rural-urban divide. Even 25 years after the transition to a democratic system, the mobility of the rural population is severely restricted by high transport costs, resulting in an unemployment gap of 24% between former homelands and non-former homeland areas (Kwenda, Benhura and Mudiriza 2020). The population of traditional settlement areas is black (Table 1).…”
Section: Youth Unemploymentmentioning
confidence: 99%
“…Thirdly, the spatial geography of South Africa shows that different places within the country have varying climate conditions ranging from flooding and very cold temperatures to droughts and extremely high temperatures. Established evidence shows that economic outcomes (among them wages and unemployment) also vary significantly across regions in South Africa (Kwenda et al 2021;Mudiriza and Edwards, 2021). Given that the effect of climatic conditions is entangled with multidimensional poverty, regional-specific factors such as climate conditions, which also vary substantially across geographical locations, are potential explanatory factors of household poverty in South Africa.…”
mentioning
confidence: 99%
“…In the past decade, the unemployment rate in South Africa has been extremely high compared to other countries, for example Kenya (9.3 percent), Egypt (11.4 percent), Nigeria (6 percent), Zambia (7.2 percent), India (2 percent), China (4.4 percent), Russia (4.7 percent), and Brazil (12.5 percent) (Kwenda et al, 2020). A quarter of economically active people are experiencing unemployment (Kyei & Gyekye, 2011).…”
Section: Chapter 1: Introduction and Backgroundmentioning
confidence: 99%