Ethnic migration patterns in South Africa: A case of Zimbabwean immigrants

dc.contributor.advisorMoultrie, Thomas
dc.contributor.authorZhou, Siyanai
dc.date.accessioned2019-03-01T06:36:24Z
dc.date.available2019-03-01T06:36:24Z
dc.date.issued2018
dc.date.updated2019-02-25T11:33:55Z
dc.description.abstractZimbabwean-born migrants form the largest proportion of the foreign-born population in South Africa; however, relatively little is known about both the international and internal migration behaviour of this population group. This study reviews several migration theories, and existing evidence on Zimbabwean-born migration to South Africa and uses the 2011 Census and 2016 Community Survey data for South Africa to explore both provincial and metropolitan migration patterns of Zimbabwean migrants. The study also seeks to identify characteristics of migrant internal movers and how these are associated with their propensity to migrate. To accomplish this, two modelling approaches are used, namely: the multiplicative component model (TODA) and the logistic regression model. The first modelling approach describes the origin-destination specific migration patterns of this group of migrants. The results from this analytic model show that Zimbabwean migrants are concentrated in three provinces, namely, Gauteng, Western Cape, and Limpopo; particularly in respective metropolitan areas. Also, post-arrival migration is largely focused on these major receiving provinces. The findings suggest that this pattern of concentration is likely to continue. The second modelling approach examines the inter-provincial migration of Zimbabwean migrants. At the aggregate level, the study results show a degree of selectivity of Zimbabwean immigration by factors such as age, sex, marital status, and education. Also, the results show that post-immigration migration is not necessarily significant to migrants’ redistribution. However, for those who move, the logistic regression analysis reveals that province of residence, age, marital status, and sex significantly impact on migrants’ propensity to move from “pioneer settlements” and their effects are consistent over time. Finally, despite concerns about the quality of the data collected in the 2011 census and 2016 Community Survey, our results show that there is general consistency of migration 'patterns’ between the two datasets.
dc.identifier.apacitationZhou, S. (2018). <i>Ethnic migration patterns in South Africa: A case of Zimbabwean immigrants</i>. (). University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE). Retrieved from http://hdl.handle.net/11427/29845en_ZA
dc.identifier.chicagocitationZhou, Siyanai. <i>"Ethnic migration patterns in South Africa: A case of Zimbabwean immigrants."</i> ., University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE), 2018. http://hdl.handle.net/11427/29845en_ZA
dc.identifier.citationZhou, S. 2018. Ethnic migration patterns in South Africa: A case of Zimbabwean immigrants. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Zhou, Siyanai AB - Zimbabwean-born migrants form the largest proportion of the foreign-born population in South Africa; however, relatively little is known about both the international and internal migration behaviour of this population group. This study reviews several migration theories, and existing evidence on Zimbabwean-born migration to South Africa and uses the 2011 Census and 2016 Community Survey data for South Africa to explore both provincial and metropolitan migration patterns of Zimbabwean migrants. The study also seeks to identify characteristics of migrant internal movers and how these are associated with their propensity to migrate. To accomplish this, two modelling approaches are used, namely: the multiplicative component model (TODA) and the logistic regression model. The first modelling approach describes the origin-destination specific migration patterns of this group of migrants. The results from this analytic model show that Zimbabwean migrants are concentrated in three provinces, namely, Gauteng, Western Cape, and Limpopo; particularly in respective metropolitan areas. Also, post-arrival migration is largely focused on these major receiving provinces. The findings suggest that this pattern of concentration is likely to continue. The second modelling approach examines the inter-provincial migration of Zimbabwean migrants. At the aggregate level, the study results show a degree of selectivity of Zimbabwean immigration by factors such as age, sex, marital status, and education. Also, the results show that post-immigration migration is not necessarily significant to migrants’ redistribution. However, for those who move, the logistic regression analysis reveals that province of residence, age, marital status, and sex significantly impact on migrants’ propensity to move from “pioneer settlements” and their effects are consistent over time. Finally, despite concerns about the quality of the data collected in the 2011 census and 2016 Community Survey, our results show that there is general consistency of migration 'patterns’ between the two datasets. DA - 2018 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2018 T1 - Ethnic migration patterns in South Africa: A case of Zimbabwean immigrants TI - Ethnic migration patterns in South Africa: A case of Zimbabwean immigrants UR - http://hdl.handle.net/11427/29845 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/29845
dc.identifier.vancouvercitationZhou S. Ethnic migration patterns in South Africa: A case of Zimbabwean immigrants. []. University of Cape Town ,Faculty of Commerce ,Centre for Actuarial Research (CARE), 2018 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/29845en_ZA
dc.language.isoeng
dc.publisher.departmentCentre for Actuarial Research (CARE)
dc.publisher.facultyFaculty of Commerce
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherDemography
dc.titleEthnic migration patterns in South Africa: A case of Zimbabwean immigrants
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMPhil
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