Addressing the Crucial Factors Affecting the Implementation of Carbon Credit Concept Using a Comprehensive Decision-Making Analysis: A Case Study
Journal Title: Journal of Operational and Strategic Analytics - Year 2024, Vol 2, Issue 3
Abstract
As global focus on climate change intensifies, carbon credits have become an important tool for reducing greenhouse gas emissions. Africa, with its abundant natural resources and potential for sustainable development, is well-positioned to capitalize on this growing market. This article explores how Africa can enhance its participation in the carbon credit market, transforming environmental initiatives into economic opportunities by addressing key implementation challenges. By utilizing the Stepwise Weight Assessment Ratio Analysis (SWARA) method within an interval-valued spherical fuzzy (IVSF) framework, the study supports collective decision-making. It identifies three crucial factors: access to financing issue, the absence of clear policies and legal frameworks, and the lack of capacity and expertise within governments, businesses, and communities. The research provides practical recommendations for governments aiming to effectively implement the carbon credit concept.
Authors and Affiliations
Qian Su, Yanjun Qiu, Mouhamed Bayane Bouraima, Babatounde Ifred Paterne Zonon, Ibrahim Badi, Ndiema Kevin Maraka
Keywords
Related Articles
- EP ID EP752325
- DOI https://doi.org/10.56578/josa020301
- Views 7
- Downloads 0
Bibliometric Analysis of Data Envelopment Analysis in Supply Chain Management
A bibliometric analysis is presented in this paper to examine the use of Data Envelopment Analysis (DEA) in the domain of Supply Chain Management (SCM). The research trends on DEA in SCM from 2000 to 2023 are explored, u...
Strategic Placement of Nuclear Power Plants in Pakistan: A Complex Polytopic Fuzzy Model Approach with Confidence Level Assessment
Confidence sets provide a robust method for addressing the uncertainty inherent in the membership degrees of elements within fuzzy sets (FSs). These sets enhance the capability of FSs to manage imprecise or uncertain dat...
An Enhanced AHP Group Decision-Making Model Employing Neutrosophic Trapezoidal Numbers
This study emphasizes the limitations observed in the prevailing neutrosophic AHP group decision-making model. To address these limitations, an augmented neutrosophic AHP group decision-making model has been established,...
Strategic Application of Cooperative Game Theory in Mitigating Labor Shortages in Post-Pandemic Logistics: A Case Study of Poland
The onset of the global pandemic has underscored the pivotal role of logistics, bolstered by information and communication technologies, in the resilience of supply chain networks. This study investigates the transformat...
Stock Portfolio Optimization Using Pythagorean Fuzzy Numbers
Linear programming problems (LPP) have been widely used to address real-world problems, including the stock portfolio problem. In this study, an approach is proposed that incorporates Pythagorean fuzzy numbers (PFN) in t...