Modelling internal migration in South Africa

Simple item page
dc.contributor.authorJozi, Xolani
dc.date.accessioned2015-09-08T13:08:35Z
dc.date.available2015-09-08T13:08:35Z
dc.date.issued2015
dc.descriptionA dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in partial fulfilment of requirements for the degree of Master of Science. Johannesburg, 2015.en_ZA
dc.description.abstractThe aim of this study was to model internal migration in South Africa using the 2011 Census data. The net-internal migration was modelled in the district municipalities of South Africa using Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR). In this study, the following global and local modelling techniques were used, Gravity, Poisson, Negative Binomial (NB), Gamma, and GWR model (local model). Poisson and NB failed to fit the migration data, while the Gamma model managed to fit the data reasonably well. The GWR model performed better than OLS regression in modelling net-internal migration in district municipalities of South Africa. The results from these models revealed that there was a strong relationship between internal migration and economic variables, as well as living conditions and demographic variables. The Monte Carlo significance test results showed that the parameters of the white population vary significantly across space. The results of the study signal that the differences in social and economic disparities in the district municipalities of South Africa are the drivers of internal migration.en_ZA
dc.identifier.urihttp://hdl.handle.net/10539/18560
dc.language.isoenen_ZA
dc.subject.lcshHuman beings--Migration--South Africa.
dc.subject.lcshMigration, internal--South Africa.
dc.titleModelling internal migration in South Africaen_ZA
dc.typeThesisen_ZA
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
X Jozi 577838.pdf
Size:
2.45 MB
Format:
Adobe Portable Document Format
Description:
Main article
Download
No Thumbnail Available
Name:
Declaration Page.pdf
Size:
93.36 KB
Format:
Adobe Portable Document Format
Description:
Declaration
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
ETD Collection