Drive for show: putt for dough?: The value of performance measures for professional golfers on the Sunshine Tour and the relationship with earnings
- Authors: Heathfield, Cameron Spencer
- Date: 2023-03-31
- Subjects: Sports Economic aspects South Africa , Golfers South Africa , PGA Sunshine Tour (Association) , Production functions (Economic theory) , Marginal productivity , Performance measurement
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419499 , vital:71649
- Description: “Drive for show, putt for dough”. This controversial adage has been a prominent sentiment in the game of golf for decades. Empirical evidence investigating its robustness through determinant of earnings inquiries have identified that the most valuable measure of performance in golf is in fact putting. However, with the ever-perpetuating state of golf equipment and the technologies thereof, the distance debate in golf has thus gained traction. Recent investigations and evidence into the adage had identified a trend-shift with regards to the value associated with distance achievable and putting ability in golf. Therefore questioning the relevance of the adage in the modern form of the game. In conducting a determinant of earnings inquiry through the engagement of engineering “pure” performance measures as empirically identified, this investigation is aimed at recognising a similar trend in a South African perspective, on the Sunshine Tour. Utilising a generalised least square regression methodology, the analysis identifies how the value of the marginal product as-sociated with both player and non-player explanatory measures influence real earnings on the Sun-shine Tour. This determination is observed through the means of a comprehensive scenario analysis, demonstrating the effect of marginal performance differences to the degree of 1% and 5% increase in performance. A trend was therefore identified in which the value of the marginal product, and growth in real earnings associated to driving distance at the 5% level were in fact greater than the that of putting ability. The results further denote the robustness of the adage and the inherent value associated to putting vs. driving distance at the 1% level. The conclusion to this investigation demonstrates the importance of opportunistic positions player’s put themselves in within tournaments to encourage earnings accumulation. Identified through balanced return on investments for all performance measures to “drive for dough to putt for dough”. , Thesis (MEcon) -- Faculty of Commerce, Economics and Economics History, 2023
- Full Text:
- Authors: Heathfield, Cameron Spencer
- Date: 2023-03-31
- Subjects: Sports Economic aspects South Africa , Golfers South Africa , PGA Sunshine Tour (Association) , Production functions (Economic theory) , Marginal productivity , Performance measurement
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419499 , vital:71649
- Description: “Drive for show, putt for dough”. This controversial adage has been a prominent sentiment in the game of golf for decades. Empirical evidence investigating its robustness through determinant of earnings inquiries have identified that the most valuable measure of performance in golf is in fact putting. However, with the ever-perpetuating state of golf equipment and the technologies thereof, the distance debate in golf has thus gained traction. Recent investigations and evidence into the adage had identified a trend-shift with regards to the value associated with distance achievable and putting ability in golf. Therefore questioning the relevance of the adage in the modern form of the game. In conducting a determinant of earnings inquiry through the engagement of engineering “pure” performance measures as empirically identified, this investigation is aimed at recognising a similar trend in a South African perspective, on the Sunshine Tour. Utilising a generalised least square regression methodology, the analysis identifies how the value of the marginal product as-sociated with both player and non-player explanatory measures influence real earnings on the Sun-shine Tour. This determination is observed through the means of a comprehensive scenario analysis, demonstrating the effect of marginal performance differences to the degree of 1% and 5% increase in performance. A trend was therefore identified in which the value of the marginal product, and growth in real earnings associated to driving distance at the 5% level were in fact greater than the that of putting ability. The results further denote the robustness of the adage and the inherent value associated to putting vs. driving distance at the 1% level. The conclusion to this investigation demonstrates the importance of opportunistic positions player’s put themselves in within tournaments to encourage earnings accumulation. Identified through balanced return on investments for all performance measures to “drive for dough to putt for dough”. , Thesis (MEcon) -- Faculty of Commerce, Economics and Economics History, 2023
- Full Text:
The impact of COVID-19 on inequality in South Africa
- Authors: Nyumbaiza, Peace Falina
- Date: 2023-03-31
- Subjects: COVID-19 Pandemic, 2020- Influence , Inequality , Labor market South Africa , Economic development South Africa , University of Cape Town. National Income Dynamics Study , Income distribution South Africa , Educational equalization South Africa
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419514 , vital:71650
- Description: The COVID-19 pandemic has raised concerns regarding its possible adverse income distributive consequences, and its different impact according to socioeconomic subgroups (Furceri et al. 2020). This research measures the impact of COVID-19 on inequality in South Africa. To do this the study uses the National Income Dynamic Study (NIDS) wave 5 (2018) and the National Income Dynamic Study Coronavirus Rapid Mobile (NIDS-CRAM) survey waves 1 – 5 (2020 - 2021) datasets to study income inequality in South Africa prior to and during the COVID-19 pandemic until mid-2021. The factor method developed by Lerman and Yitzhaki’s (1985) is used to identify the overall contribution of the different factor sources to income inequality. Labour income is identified as the largest contributing factor and so labour income inequality is decomposed by income determinants using the regression-based decomposition method proposed by Fields (2003). The analysis reveals that labour income worsened during the periods of strictest COVID lockdown, before returning to pre-pandemic levels of inequality as lockdown was eased. Education is the most important determinant of labour income inequality across all time periods, particularly for White, urban and female participants. Although education remains a driving factor of labour income inequality during the national disaster, its contribution lessens as the economy starts recovering by March 2021. Consequently, the contributions of gender, race, age and region increase during the same period. Identifying whom the inequal impact of pandemic has affected worse offers insight that emphasizes the importance social grant systems to aid bridge the inequality gap associated with COVID-19. , Thesis (MEcon) -- Faculty of Commerce, Economics and Economics History, 2023
- Full Text:
- Authors: Nyumbaiza, Peace Falina
- Date: 2023-03-31
- Subjects: COVID-19 Pandemic, 2020- Influence , Inequality , Labor market South Africa , Economic development South Africa , University of Cape Town. National Income Dynamics Study , Income distribution South Africa , Educational equalization South Africa
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419514 , vital:71650
- Description: The COVID-19 pandemic has raised concerns regarding its possible adverse income distributive consequences, and its different impact according to socioeconomic subgroups (Furceri et al. 2020). This research measures the impact of COVID-19 on inequality in South Africa. To do this the study uses the National Income Dynamic Study (NIDS) wave 5 (2018) and the National Income Dynamic Study Coronavirus Rapid Mobile (NIDS-CRAM) survey waves 1 – 5 (2020 - 2021) datasets to study income inequality in South Africa prior to and during the COVID-19 pandemic until mid-2021. The factor method developed by Lerman and Yitzhaki’s (1985) is used to identify the overall contribution of the different factor sources to income inequality. Labour income is identified as the largest contributing factor and so labour income inequality is decomposed by income determinants using the regression-based decomposition method proposed by Fields (2003). The analysis reveals that labour income worsened during the periods of strictest COVID lockdown, before returning to pre-pandemic levels of inequality as lockdown was eased. Education is the most important determinant of labour income inequality across all time periods, particularly for White, urban and female participants. Although education remains a driving factor of labour income inequality during the national disaster, its contribution lessens as the economy starts recovering by March 2021. Consequently, the contributions of gender, race, age and region increase during the same period. Identifying whom the inequal impact of pandemic has affected worse offers insight that emphasizes the importance social grant systems to aid bridge the inequality gap associated with COVID-19. , Thesis (MEcon) -- Faculty of Commerce, Economics and Economics History, 2023
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Guidelines for designing personal health dashboards
- Authors: Chabana, Chabana Ernst
- Date: 2022-11
- Subjects: Dashboards (Management information systems) , Information visualization , Medical informatics , Digital health , Design manual
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419137 , vital:71619
- Description: The healthcare industry is realising the value of providing ordinary individuals with their personal health data for self-care and self-management purposes, however, these individuals are faced with the challenge of going through, understanding and extracting insights from large volumes of complex personal health data. A dashboard (coupled with data visualization) is regarded as a suitable way to present personal health data effectively, to inform self-care and self- management-based decisions. However, there is no homogeneous (i.e. “one-size-fits-all”) approach to designing dashboards; therefore, this research aimed at creating a set of design guidelines that can be used as a foundation for tailoring dashboards that support the presentation of personal health data. The Design Science Research methodology was used to systematically develop and evaluate the set of dashboard design guidelines. Within this methodology, literature was reviewed and focus groups with participants were conducted to extract insights and inform the development of the initial set (proposed) design guidelines. The proposed design guidelines were then used to develop a medium-fidelity personal health dashboard prototype. Usability testing with the dashboard prototype was conducted to evaluate the efficacy and utility of these design guidelines. The evaluation provided insights that strengthened the quality of the design guidelines. The evaluation indicated that the proposed set of guidelines are suitable for designing a dashboard that presents personal health data effectively. These design guidelines can be adapted in order to inform the process of tailoring dashboards for accommodating different personal health data presentation needs. , Thesis (MCOM) -- Faculty of Commerce, Information Systems, 2023
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- Authors: Chabana, Chabana Ernst
- Date: 2022-11
- Subjects: Dashboards (Management information systems) , Information visualization , Medical informatics , Digital health , Design manual
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419137 , vital:71619
- Description: The healthcare industry is realising the value of providing ordinary individuals with their personal health data for self-care and self-management purposes, however, these individuals are faced with the challenge of going through, understanding and extracting insights from large volumes of complex personal health data. A dashboard (coupled with data visualization) is regarded as a suitable way to present personal health data effectively, to inform self-care and self- management-based decisions. However, there is no homogeneous (i.e. “one-size-fits-all”) approach to designing dashboards; therefore, this research aimed at creating a set of design guidelines that can be used as a foundation for tailoring dashboards that support the presentation of personal health data. The Design Science Research methodology was used to systematically develop and evaluate the set of dashboard design guidelines. Within this methodology, literature was reviewed and focus groups with participants were conducted to extract insights and inform the development of the initial set (proposed) design guidelines. The proposed design guidelines were then used to develop a medium-fidelity personal health dashboard prototype. Usability testing with the dashboard prototype was conducted to evaluate the efficacy and utility of these design guidelines. The evaluation provided insights that strengthened the quality of the design guidelines. The evaluation indicated that the proposed set of guidelines are suitable for designing a dashboard that presents personal health data effectively. These design guidelines can be adapted in order to inform the process of tailoring dashboards for accommodating different personal health data presentation needs. , Thesis (MCOM) -- Faculty of Commerce, Information Systems, 2023
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