Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market

With growing global emphasis on climate change, carbon credits have gained traction to curb greenhouse gas emissions. Endowed with vast natural resources and potential for sustainable development, Africa is uniquely positioned to benefit from this emerging market. This article investigates how Africa can optimize its involvement in carbon credit trading to transform environmental efforts into economic benefits. By applying the Stepwise Weight Assessment Ratio Analysis (SWARA) method in an Interval-Valued Spherical Fuzzy (IVSF) setting, the study aids in collective decision-making. It highlights three critical strategies for maximizing Africa's carbon credit market potential: harnessing natural resources for carbon sequestration, creating effective legal and regulatory frameworks, and enhancing capacity building and knowledge sharing. The research offers actionable recommendations for governments leveraging these opportunities and advancing in the carbon credit market.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.22105/cand.2024.474739.1106
Citations
4
Primary Topic
Subterranean biodiversity and taxonomy
Type
article
Field-Weighted Citation Impact
6.35
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article

Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market

4 citations
SHILAP Revista de lepidopterología
Subterranean biodiversity and taxonomy
6.35
article

Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market

article en
4 citations

Abstract

With growing global emphasis on climate change, carbon credits have gained traction to curb greenhouse gas emissions. Endowed with vast natural resources and potential for sustainable development, Africa is uniquely positioned to benefit from this emerging market. This article investigates how Africa can optimize its involvement in carbon credit trading to transform environmental efforts into economic benefits. By applying the Stepwise Weight Assessment Ratio Analysis (SWARA) method in an Interval-Valued Spherical Fuzzy (IVSF) setting, the study aids in collective decision-making. It highlights three critical strategies for maximizing Africa's carbon credit market potential: harnessing natural resources for carbon sequestration, creating effective legal and regulatory frameworks, and enhancing capacity building and knowledge sharing. The research offers actionable recommendations for governments leveraging these opportunities and advancing in the carbon credit market.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 4%
Subterranean biodiversity and taxonomy
6.35
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Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS