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 Afric...
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| Format: | Article |
| Language: | English |
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REA Press
2024-09-01
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| Series: | Computational Algorithms and Numerical Dimensions |
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| Online Access: | https://www.journal-cand.com/article_203295_5783bf05f3cb6420c221f3e463d44b61.pdf |
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| author | Tafuteni Chusi Su Qian Seyyed Edalatpanah Yanjun Qiu Mouhamed Bayane Bouraima Akpa Ajayi |
| author_facet | Tafuteni Chusi Su Qian Seyyed Edalatpanah Yanjun Qiu Mouhamed Bayane Bouraima Akpa Ajayi |
| author_sort | Tafuteni Chusi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ed1fc5957e1e434ea2c048f74032b560 |
| institution | Kabale University |
| issn | 2980-7646 2980-9320 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | REA Press |
| record_format | Article |
| series | Computational Algorithms and Numerical Dimensions |
| spelling | doaj-art-ed1fc5957e1e434ea2c048f74032b5602025-01-30T11:23:23ZengREA PressComputational Algorithms and Numerical Dimensions2980-76462980-93202024-09-013321722710.22105/cand.2024.474739.1106203295Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit marketTafuteni Chusi0Su Qian1Seyyed Edalatpanah2Yanjun Qiu3Mouhamed Bayane Bouraima4Akpa Ajayi5Center for Industrial and Business Organization, Dongbei University of Finance and Economics, 217 JianShan Street, Shahekou District, Dalian, 116025 Liaoning Province, China.Department of Civil Engineering, Sichuan College of Architectural Technology, Deyang, 618000, China.Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran.School of Civil Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China.Department of Civil Engineering, Sichuan College of Architectural Technology, Deyang, 618000, China.Green Building Lab, School of Architecture, Southwest Jiaotong University-Chengdu, China.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.https://www.journal-cand.com/article_203295_5783bf05f3cb6420c221f3e463d44b61.pdfcarbon credit marketivsfswarastrategyafrica |
| spellingShingle | Tafuteni Chusi Su Qian Seyyed Edalatpanah Yanjun Qiu Mouhamed Bayane Bouraima Akpa Ajayi Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market Computational Algorithms and Numerical Dimensions carbon credit market ivsf swara strategy africa |
| title | Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market |
| title_full | Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market |
| title_fullStr | Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market |
| title_full_unstemmed | Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market |
| title_short | Interval-valued spherical fuzzy extension of SWARA for prioritizing strategies to unlock Africa's potential in the carbon credit market |
| title_sort | interval valued spherical fuzzy extension of swara for prioritizing strategies to unlock africa s potential in the carbon credit market |
| topic | carbon credit market ivsf swara strategy africa |
| url | https://www.journal-cand.com/article_203295_5783bf05f3cb6420c221f3e463d44b61.pdf |
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