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Using system dynamics to explore gini coefficient parametrics
Includes bibliographical references.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Mechanical Engineering
2014
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| _version_ | 1867613191136083968 |
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| access_status_str | Open Access |
| author | Pillay, Nalini Sooknanan |
| author2 | Cohen, Brett |
| author_browse | Cohen, Brett Pillay, Nalini Sooknanan |
| author_facet | Cohen, Brett Pillay, Nalini Sooknanan |
| author_sort | Pillay, Nalini Sooknanan |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/9143 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:13.078Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Mechanical Engineering |
| publisherStr | Department of Mechanical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/9143 Using system dynamics to explore gini coefficient parametrics Pillay, Nalini Sooknanan Cohen, Brett Nel, Willem Includes bibliographical references. Modern economies are dependent on a reliable electricity supply for sustaining economic health and development, enabled by adequate energy planning and/or investment in capacity. Identifying drivers such as changes in income distribution that impact electricity demand is thus critical. This project made use of a system dynamics methodology with feedback loops to provide an insightful alternative to the conventional linear statistical empirical approaches such as multiple regression analysis and principal component analysis, generally used to explore the sensitivities of key driving forces which affect income distribution. The system dynamics simulation tool highlighted the direct causal influence of Gini coefficient on residential electricity consumption, by using equations as opposed to correlations. Results show that for a GDP growth rate of 2, by year 2035, a Gini coefficient of 0.5 is linked to a 3.14 increase in residential electricity demand while a Gini coefficient of 0.4 means a 4.73 increase in residential electricity demand. This dynamic is an important consideration for energy planners since government has (and continues to) introduce policies and mechanisms to ensure a more equal income distribution and hence a decrease in Gini coefficient from 0.67 to lower values. 2014-11-05T03:50:42Z 2014-11-05T03:50:42Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/9143 eng application/pdf Department of Mechanical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Pillay, Nalini Sooknanan Using system dynamics to explore gini coefficient parametrics |
| thesis_degree_str | Master's |
| title | Using system dynamics to explore gini coefficient parametrics |
| title_full | Using system dynamics to explore gini coefficient parametrics |
| title_fullStr | Using system dynamics to explore gini coefficient parametrics |
| title_full_unstemmed | Using system dynamics to explore gini coefficient parametrics |
| title_short | Using system dynamics to explore gini coefficient parametrics |
| title_sort | using system dynamics to explore gini coefficient parametrics |
| url | http://hdl.handle.net/11427/9143 |
| work_keys_str_mv | AT pillaynalinisooknanan usingsystemdynamicstoexploreginicoefficientparametrics |