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Geocoded analysis of the determinants of socio-political unrest in South Africa
Dissertation (MSc (eScience))--University of Pretoria, 2024.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2024
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| _version_ | 1867613497996607488 |
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| access_status_str | Open Access |
| author2 | Nicholls, Nicky |
| author_browse | Nicholls, Nicky |
| author_facet | Nicholls, Nicky |
| collection | Thesis |
| dc_rights_str_mv | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc (eScience))--University of Pretoria, 2024. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/94339 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:05.780Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/94339 Geocoded analysis of the determinants of socio-political unrest in South Africa Nicholls, Nicky Clance, Matthew danieleroux1997@gmail.com Le Roux, Danie UCTD Unrest Protests Geocoded Afrobarometer GDELT Sustainable Development Goals (SDGs) SDG-16: Peace, justice and strong institutions Economic and management sciences theses SDG-16 Dissertation (MSc (eScience))--University of Pretoria, 2024. Protests have severe negative short and long-run impacts on the developing South African economy. They have caused significant increases in costs and losses in productivity for crucial South African industries, leading to declining growth rates and further increases in unemployment and poverty. The focus of this study was to examine how service delivery, income level, and political satisfaction affect the intensity of unrest in South Africa. Secondary geocoded data from the GDELT project and Afrobarometer was utilised to construct composite indices to analyse the relationships between unrest intensity and its predictors. In line with the predictions of Frustration-Aggression Theory and studies conducted by Kali (2023), Nleya (2011), and Botes (2018), the study revealed a positive linear relationship between poor service delivery and unrest intensity. The findings contribute to a better understanding of the complex dynamics between unrest and its determinants. Policymakers and stakeholders can leverage this understanding to address underlying issues effectively and work towards mitigating and reducing socio-political unrest. The study’s framework, utilizing GDELT data, can also be applied to investigate unrest in other countries, benefiting from the broad global coverage provided by GDELT. Economics MSc (eScience) Restricted Faculty of Economic and Management Sciences 2024-02-06T10:32:12Z 2024-02-06T10:32:12Z 2024-03-01 2024-01-10 Dissertation * A2024 http://hdl.handle.net/2263/94339 10.25403/UPresearchdata.25117142 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Unrest Protests Geocoded Afrobarometer GDELT Sustainable Development Goals (SDGs) SDG-16: Peace, justice and strong institutions Economic and management sciences theses SDG-16 Geocoded analysis of the determinants of socio-political unrest in South Africa |
| title | Geocoded analysis of the determinants of socio-political unrest in South Africa |
| title_full | Geocoded analysis of the determinants of socio-political unrest in South Africa |
| title_fullStr | Geocoded analysis of the determinants of socio-political unrest in South Africa |
| title_full_unstemmed | Geocoded analysis of the determinants of socio-political unrest in South Africa |
| title_short | Geocoded analysis of the determinants of socio-political unrest in South Africa |
| title_sort | geocoded analysis of the determinants of socio political unrest in south africa |
| topic | UCTD Unrest Protests Geocoded Afrobarometer GDELT Sustainable Development Goals (SDGs) SDG-16: Peace, justice and strong institutions Economic and management sciences theses SDG-16 |
| url | http://hdl.handle.net/2263/94339 |