湾岸協力会議における電気自動車移行経路の評価
Evaluating Electric Vehicle Transition Pathways in the Gulf Cooperation Council (原題)
Bruno Idini, Priyankadevi Murugappan
🤖 gxceed AI 要約
日本語
湾岸協力会議（GCC）諸国におけるEV移行の代替経路を、多基準意思決定分析（MCDA）と費用便益分析（CBA）を用いて評価。BAU、部分移行、加速移行の3シナリオを比較し、経済・環境・社会・技術の各側面でのトレードオフを検討。インフラ整備、グリーンファイナンス、ICE段階的廃止、バッテリーリサイクルなどの政策手段を有効性と実現可能性でランク付け。加速移行は環境便益が最大だが実装課題も大きい。
English
This study evaluates EV transition pathways in the GCC using MCDA and cost-benefit analysis. Three scenarios (BAU, partial, accelerated) are compared across economic, environmental, social, and technological dimensions. Policy levers such as infrastructure, green financing, ICE phase-out, and battery recycling are ranked. Accelerated transition offers the greatest environmental gains but higher implementation challenges.
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
日本ではEV移行が自動車産業の競争力やエネルギー安全保障に直結する。本稿のMCDAフレームワークは、日本の地域別EV戦略や水素・合成燃料との比較評価に応用可能。また、GCCの経済多様化と脱炭素の両立は、日本のエネルギー政策にも示唆を与える。
In the global GX context
This paper contributes to global EV transition scholarship by applying MCDA and CBA to a region (GCC) often overlooked in climate policy research. Its policy-lever ranking offers a replicable framework for other fossil-fuel-dependent economies. The findings support global efforts to align transport decarbonization with economic diversification.
👥 読者別の含意
🔬研究者:Provides a structured MCDA/CBA framework for comparing EV transition scenarios, useful for extending to other regions or adding more granular data.
🏢実務担当者:Offers a prioritized list of policy levers (infrastructure, financing, phase-out, recycling) that can inform corporate strategy in EV-related sectors.
🏛政策担当者:Highlights trade-offs between environmental gains and implementation feasibility, guiding evidence-based EV policy design in fossil-fuel-dependent economies.
📄 Abstract（原文）
This study evaluates alternative EV transition pathways in the Gulf Cooperation Council (GCC) using a Multi-Criteria Decision Analysis (MCDA) framework and cost–benefit analysis (CBA). Three scenarios are assessed: Business-As-Usual (BAU), Partial Transition, and Accelerated Transition, examining trade-offs across economic, environmental, social, and technological dimensions. Key policy levers, including infrastructure rollout, green financing, ICE phase-out, and battery recycling, are ranked according to their effectiveness and feasibility. Accelerated Transition offers the greatest environmental gains but entails higher implementation challenges. These findings provide a data-driven framework to guide GCC policymakers in achieving sustainable EV adoption, supporting economic diversification, and advancing regional climate and energy goals.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.4018/979-8-3373-9908-9.ch005first seen 2026-08-28 04:34:02
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