Integrating Climate Adaptation and Land Resource Management: Assessing Socioeconomic and Environmental Factors for a Sustainable Energy Transition

ABSTRACT The growing demand for sustainable energy solutions has intensified the need for integrating climate adaptation and resource management to ensure energy security, economic stability, and environmental sustainability. Therefore, this transition to sustainable energy requires a holistic approach that integrates climate adaptation with resource management while balancing socioeconomic and environmental factors. This study employs the Fuzzy Analytical Hierarchy Process (F‐AHP) to determine the relative importance of key socioeconomic and environmental factors under uncertainty and the Fuzzy Weighted Aggregated Sum Product Assessment (F‐WASPAS) method to rank optimal energy transition alternatives. The F‐AHP analysis identifies policy and institutional frameworks, technological advancement and infrastructure, and financial capacity and incentives as the most influential drivers shaping sustainable energy adoption. Using F‐WASPAS, the study evaluates and ranks alternative energy transition strategies. The F‐WASPAS results highlight the effectiveness of policy‐driven and technology‐driven approaches in accelerating renewable energy adoption while ensuring economic and environmental sustainability. Findings emphasise that an integrated approach combining policy reforms, clean energy innovation, and resource‐efficient strategies is essential for a successful transition. The study contributes to policymaking by providing a structured assessment of key enablers and optimal strategies, assisting decision‐makers in designing adaptive frameworks for sustainable energy transitions.

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Publication Details

Journal
Geological Journal
Published
2025-09-09
DOI
https://doi.org/10.1002/gj.70076
Primary Topic
Environmental Impact and Sustainability
Type
article
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article

Integrating Climate Adaptation and Land Resource Management: Assessing Socioeconomic and Environmental Factors for a Sustainable Energy Transition

Zhaohui Qin, Nana Tang
2 links
Geological Journal
Environmental Impact and Sustainability
article

Integrating Climate Adaptation and Land Resource Management: Assessing Socioeconomic and Environmental Factors for a Sustainable Energy Transition

Zhaohui Qin, Nana Tang
article en

Abstract

ABSTRACT The growing demand for sustainable energy solutions has intensified the need for integrating climate adaptation and resource management to ensure energy security, economic stability, and environmental sustainability. Therefore, this transition to sustainable energy requires a holistic approach that integrates climate adaptation with resource management while balancing socioeconomic and environmental factors. This study employs the Fuzzy Analytical Hierarchy Process (F‐AHP) to determine the relative importance of key socioeconomic and environmental factors under uncertainty and the Fuzzy Weighted Aggregated Sum Product Assessment (F‐WASPAS) method to rank optimal energy transition alternatives. The F‐AHP analysis identifies policy and institutional frameworks, technological advancement and infrastructure, and financial capacity and incentives as the most influential drivers shaping sustainable energy adoption. Using F‐WASPAS, the study evaluates and ranks alternative energy transition strategies. The F‐WASPAS results highlight the effectiveness of policy‐driven and technology‐driven approaches in accelerating renewable energy adoption while ensuring economic and environmental sustainability. Findings emphasise that an integrated approach combining policy reforms, clean energy innovation, and resource‐efficient strategies is essential for a successful transition. The study contributes to policymaking by providing a structured assessment of key enablers and optimal strategies, assisting decision‐makers in designing adaptive frameworks for sustainable energy transitions.

Geological Journal
China Three Gorges University (CN)
Openalex Percentile: Top 78%
Environmental Impact and Sustainability
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