Flood Mitigation in Ethekwini Metropolitan Area – Empirical Evidence using Artificial Neural Network

Climate change is recognised as one of the most significant environmental threats facing the world today. Voluntary carbon credits have become a key approach for mitigating climate change by lowering emissions and encouraging sustainable development. However, many voluntary carbon credit projects are of poor quality and do not deliver the claimed emissions reductions. This research aimed to assess the contribution of voluntary carbon credits towards additional greenhouse gas emissions reductions and the overall mitigation of climate change. A systematic literature review was conducted on 40 articles sourced from the Scopus and Clarivate Web of Science databases using the PRISMA protocol. The systematic and bibliometric analyses triangulated both qualitative and quantitative research approaches. The study established market dynamics, funding of VCC projects, and quality of VCC as primary themes related to climate mitigation by VCC. Literature also discusses the quality of VCC, market dynamics, accountability, double counting, additionality, permanence, risks of reversals and leakage, neocolonialism, and justice as key themes that challenge the effectiveness of VCC in mitigating climate change. The study recommends the standardisation and proper regulation of voluntary carbon credit systems to enhance transparency, accountability, and actual reduction of greenhouse gases.

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Publication Details

Journal
E-Journal of Humanities Arts and Social Sciences
Published
2025-12-30
DOI
https://doi.org/10.38159/ehass.202561522
Primary Topic
Sustainability and Climate Change Governance
Type
article
Field-Weighted Citation Impact
0.00
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article

Flood Mitigation in Ethekwini Metropolitan Area – Empirical Evidence using Artificial Neural Network

Ferina Marimuthu, Lilian Gumbo
E-Journal of Humanities Arts and Social Sciences
Sustainability and Climate Change Governance
article

Flood Mitigation in Ethekwini Metropolitan Area – Empirical Evidence using Artificial Neural Network

Ferina Marimuthu, Lilian Gumbo
article en

Abstract

Climate change is recognised as one of the most significant environmental threats facing the world today. Voluntary carbon credits have become a key approach for mitigating climate change by lowering emissions and encouraging sustainable development. However, many voluntary carbon credit projects are of poor quality and do not deliver the claimed emissions reductions. This research aimed to assess the contribution of voluntary carbon credits towards additional greenhouse gas emissions reductions and the overall mitigation of climate change. A systematic literature review was conducted on 40 articles sourced from the Scopus and Clarivate Web of Science databases using the PRISMA protocol. The systematic and bibliometric analyses triangulated both qualitative and quantitative research approaches. The study established market dynamics, funding of VCC projects, and quality of VCC as primary themes related to climate mitigation by VCC. Literature also discusses the quality of VCC, market dynamics, accountability, double counting, additionality, permanence, risks of reversals and leakage, neocolonialism, and justice as key themes that challenge the effectiveness of VCC in mitigating climate change. The study recommends the standardisation and proper regulation of voluntary carbon credit systems to enhance transparency, accountability, and actual reduction of greenhouse gases.

E-Journal of Humanities Arts and Social SciencesVol. 6(15)
University of South Africa (ZA), Durban University of Technology (ZA)
Openalex Percentile: Top 31%
Sustainability and Climate Change Governance
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