Multidimensional Risk Assessment in Sustainable Coal Supply Chains for China’s Low-Carbon Transition: An AHP-FCE Framework
中国の低炭素移行における持続可能な石炭サプライチェーンの多次元リスク評価：AHP-FCEフレームワーク (AI 翻訳)
Zhou Yang, Ming Guo, Junfang Hao, Wanqiang Xu, Yuping Wu
🤖 gxceed AI 要約
日本語
本研究は、中国の石炭サプライチェーンにおける持続可能性リスクを評価するため、AHPとファジィ総合評価を統合したハイブリッドフレームワークを提案する。8つの主要基準と40のサブ基準からなるリスク評価システムを構築し、中国の大手石炭企業を事例に実証分析を行った。結果、全体的なリスクは「中程度」であり、需要リスク、情報技術リスク、社会リスクが上位を占めた。資金調達制約や設備更新の遅れなどのリスク伝播メカニズムを解明し、多様な資金調達マトリックスやブロックチェーン基盤のデータ共有プラットフォームなどの戦略を提案している。
English
This study proposes a hybrid AHP-FCE framework to assess sustainability risks in China's coal supply chain. It develops a risk system with 8 primary and 40 sub-criteria, and empirically analyzes a major Chinese coal enterprise. The overall risk is 'moderate', with demand, IT, and social risks as top concerns. It identifies transmission mechanisms like financing constraints and equipment delays, and suggests strategies such as diversified financing and blockchain-based data sharing.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の石炭火力発電や高炭素産業のサプライチェーンリスク評価に応用可能な枠組みを提供。SSBJ開示やサプライチェーン排出量算定の実務において、リスク要因の体系化と評価手法の参考となる。
In the global GX context
This framework offers a replicable risk assessment paradigm for high-carbon supply chains globally, aligning with TCFD/ISSB disclosure expectations on transition risk. It provides empirical evidence from China's coal sector, contributing to the understanding of supply chain resilience in the energy transition.
👥 読者別の含意
🔬研究者:Provides a comprehensive risk assessment framework for coal supply chains, useful for extending to other high-carbon sectors.
🏢実務担当者:Offers a structured approach to identify and prioritize supply chain risks, aiding in sustainability reporting and risk management.
🏛政策担当者:Highlights critical risk nodes and suggests policy interventions for balancing supply security and decarbonization.
📄 Abstract（原文）
Driven by the global energy transition and the pursuit of “dual carbon” goals, sustainability risks within the coal supply chain have emerged as a central obstacle impeding the low-carbon transformation of high-carbon industries. To address the critical gap in systematic and multidimensional risk assessments for coal supply chains, this study proposes a hybrid framework that integrates the analytic hierarchy process (AHP) with the fuzzy comprehensive evaluation (FCE) method. Utilizing the Delphi method and the coefficient of variation technique, this study develops a risk assessment system encompassing eight primary criteria and forty sub-criteria. These indicators cover economic, operational safety, ecological and environmental, management policy, demand, sustainable supply, information technology, and social risks. An empirical analysis is conducted, using a prominent Chinese coal enterprise as a case study. The findings demonstrate that the overall risk level of the enterprise is “moderate”, with demand risk, information technology risk, and social risk ranking as the top three concerns. This underscores the substantial impact of accelerated energy substitution, digital system vulnerabilities, and stakeholder conflicts on supply chain resilience. Further analysis elucidates the transmission mechanisms of critical risk nodes, including financing constraints, equipment modernization delays, and deficiencies in end-of-pipe governance. Targeted strategies are proposed, such as constructing a diversified financing matrix, developing a blockchain-based data-sharing platform, and establishing a community co-governance mechanism. These measures offer scientific decision-making support for the coal industry’s efforts to balance “ensuring supply” with “reducing carbon emissions”, and provide a replicable risk assessment paradigm for the sustainable transformation of global high-carbon supply chains.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su17135689first seen 2026-08-02 17:42:35
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