国家カーボンニュートラルに向けたクリーンエネルギー戦略の評価:学際的・政策志向の意思決定フレームワーク
Evaluating clean energy strategies for national carbon neutrality: An interdisciplinary policy-focused decision framework (原題)
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🤖 gxceed AI 要約
日本語
本研究はトルコのカーボンニュートラル目標を支援するクリーンエネルギー戦略を評価・優先順位付けするため、Picture Fuzzy BWMとPicture Fuzzy TOPSISを組み合わせた新たな多基準意思決定フレームワークを提示する。9名の専門家評価に基づき、気候 resilient な低炭素開発計画と低炭素燃料の政策枠組みが最も適切な戦略である一方、ヒートポンプによる建築電化は最低評価となった。政策支援とレジリエンス志向の経路を優先すべきと結論づけ、SDG7・SDG11に貢献する。
English
This study develops a novel multi-criteria decision framework combining Picture Fuzzy BWM and TOPSIS to prioritize clean energy strategies for Türkiye's carbon neutrality. Based on nine expert evaluations, climate-resilient low-carbon development plans and low-carbon fuel policy frameworks rank highest, while heat pump-based building electrification scores lowest. The authors urge governments to prioritize policy-supported, resilience-oriented pathways aligned with affordability and implementation capacity, supporting SDG 7 and SDG 11.
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
日本企業・政策担当者にとっては、新興国における脱炭素戦略の優先順位付け手法として参考になる。特に、政策支援とレジリエンスを重視する評価軸は、日本のGX推進における地域特性や産業構造を踏まえた戦略立案に示唆を与える。ただし、日本固有の制度やデータに基づくものではないため、直接的な適用には注意が必要。
In the global GX context
This paper contributes to global transition finance and policy scholarship by offering a replicable MCDM framework for developing countries to prioritize clean energy strategies under uncertainty. While not directly tied to TCFD/ISSB disclosure, it informs national decarbonization planning that underpins sovereign and corporate transition pathways. Its emphasis on policy alignment and resilience resonates with global just-transition debates.
👥 読者別の含意
🔬研究者:MCDM手法(Picture Fuzzy BWM/TOPSIS)をエネルギー政策評価に適用する事例として、手法論的関心を持つ研究者に有用。
🏢実務担当者:新興国市場での再生可能エネルギー事業や政策リスク評価に関わる企業の戦略立案に参考となる。
🏛政策担当者:開発途上国における脱炭素戦略の優先順位付けと政策設計の枠組みとして、政策担当者に示唆を与える。
📄 Abstract(原文)
This study aims to evaluate and prioritize clean energy strategies to support Türkiye's national carbon neutrality goals. Achieving carbon neutrality requires adopting clean technologies and effective environmental policy tools. This study presents a novel multi-criteria decision-making context that combines the Picture Fuzzy Best-Worst Method (PiF-BWM) and Picture Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (PiF-TOPSIS) to evaluate and prioritize renewable energy strategies under uncertainty systematically. The empirical application focuses on Türkiye and is based on the evaluations of nine experts. Using Türkiye as the test bed, we assess alternatives such as climate-resilient low-carbon development plans, policy frameworks for low-carbon fuels, large-scale and distributed renewables, green jobs programs, and building electrification via heat pumps. Criteria span environmental impact, cost and financial viability, technological feasibility, socioeconomic effects, resilience, energy efficiency, energy security, and policy alignment. The methodology first applies PiF-BWM to determine the criteria weights, and then uses PiF-TOPSIS to rank the alternative strategies. Results show that environmentally effective and policy-enabled strategies deliver the highest urban decarbonization benefits, while building-focused electrification provides targeted gains when integrated with local grid constraints and building codes. The findings further indicate that climate-resilient low-carbon development plans and policy frameworks for low-carbon fuels are the most suitable strategic options, whereas heat pump-based building electrification receives the lowest score among the evaluated alternatives. This study positions energy as an instrument for sustainable development by foregrounding affordability, access, equity, and institutional capacity in strategy selection. From a policy perspective, the results suggest that governments should prioritize policy-supported and resilience-oriented clean energy pathways while aligning investment decisions with affordability, implementation capacity, and long-term sustainability goals. The policy-oriented framework supports sustainable development goal (SDG) 7 (Affordable and Clean Energy) and SDG 11 (Sustainable Cities and Communities), and is tailored to the realities of developing-country contexts.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1177/0958305x261495747first seen 2026-10-14 05:02:23
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