- Title
- The role of solid waste management in economic development: a case of Nelson Mandela Bay Metropole, South Africa
- Creator
- Mngomezulu, Sibongangani Khonelihle
- Subject
- Integrated solid waste management -- Nelson Mandela Bay Municipality (South Africa)
- Subject
- Refuse and refuse disposal -- Nelson Mandela Bay Municipality (South Africa)
- Subject
- Economic development -- Nelson Mandela Bay Municipality (South Africa)
- Date Issued
- 2024-04
- Date
- 2024-04
- Type
- Doctoral theses
- Type
- text
- Identifier
- http://hdl.handle.net/10948/64684
- Identifier
- vital:73861
- Description
- The issue of poor Solid Waste Management (SWM) continues to be a challenge in the world, as waste is always generated through daily human activities, and it needs to be properly managed. This study aimed to examine the role of solid waste management in enhancing the urban settlements’ economic development. Guided by the findings and the Circular Economy Model (CEM), the study proposed a waste management framework that can be used to achieve Integrated Solid Waste Management (ISWM) while permitting economic development for the urban poor. The study utilized the mixed methods approach, which involves the collection and the integration of both quantitative and qualitative data to scrutinize the study from multiple points of view to improve accuracy. A mixed methodology with a structured questionnaire was employed. Data was obtained from 256 respondents out of a total of 303 households and one landfill was targeted. The research findings are therefore based on an 84% response rate of the targeted sample size. The study assessed the role that solid waste management can play in economic development using Walmer E, Summerstrand, Gqeberha Central and Arlington Landfill in Nelson Mandela Bay Municipality (NMBM) as the case study areas. The Statistical Package for the Social Sciences (SPSS) was used to generate the descriptive summary statistics for the survey results, and it was also used to analyse the frequency, the correlation, and the factor analysis. The factor analysis was tested using Kaiser-Meyer-Olkin (KMO) and the Initial Eigenvalues, while the data correlation was examined using the Chi-Square Tests and the Symmetric Measures. The narrative thematic method was used for qualitative data, where raw data becomes the actual data presented. This study proves that the current waste management practices in the NMBM area are not sustainable as there is an increasing demand for landfills and the land filled waste has environmental challenges. Therefore, a new waste management framework for tackling these difficulties is proposed with the aid of study findings and CEM. Various theories of economic development and waste management were used and CEM was found more applicable, since it promotes the relationship between waste management systems and economic development. The proposed framework involves four significant factors that were found to positively influence waste to wealth. Those are; social behaviour, education, economic feasibility and governance of Municipal Solid Waste Management (MSWM). The Waste To Wealth (WTW) framework might help to improve solid waste management and shore up the present urban economy. The proposed framework would be applicable not only in the Nelson Mandela Bay Municipality (NMBM) but also in South Africa and in other countries.
- Description
- Thesis (DPhil) -- Faculty of Engineering, the Built Environment, and Technology, School of Built Environment and Civil Engineering, 2024
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (xxiii, 303 pages)
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Engineering, the Built Environment, and Technology
- Language
- English
- Rights
- Nelson Mandela University
- Rights
- All Rights Reserved
- Rights
- Open Access
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NMU School of the Built Environment
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Mngomezulu, SK.pdf | 8 MB | Adobe Acrobat PDF | View Details Download |