Policy Economics of Carbon Trading in the Renewable Energy Sector: AI ‐ MCDA Analysis Applied to the Beijing–Tianjin–Hebei Region
再生可能エネルギー分野における排出権取引の政策経済学：AI-MCDA分析による北京・天津・河北地域への応用 (AI 翻訳)
Lei Qing
🤖 gxceed AI 要約
日本語
本研究は、北京・天津・河北地域の排出権取引制度（ETS）設計が再生可能エネルギー発展に与える影響を多基準評価した。AHPで6次元18サブ基準の重みを導出し、ファジィVIKORで6政策シナリオをランク付けした結果、環境有効性と技術革新の重みが高く、統合改革シナリオ（厳格な上限、セクター拡大、価格安定策、再エネ向け収入活用）が最善と示された。
English
This study evaluates alternative ETS designs to support renewable energy development in the Beijing–Tianjin–Hebei region using AHP and fuzzy VIKOR. Environmental effectiveness and technological innovation receive the highest weights. The integrated reform scenario—combining a tighter cap, broader coverage, price stability, and earmarked revenue for renewables—ranks first and is robust across sensitivity tests.
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
日本はGXリーグによる自主的排出権取引を開始したばかりであり、本論文の多基準分析手法は、日本のカーボンプライシング制度設計においても有用である。特に、環境有効性と技術革新への影響を重視した評価枠組みは、日本が今後ETSの本格導入を検討する際の参考となる。
In the global GX context
This paper offers a replicable multi-criteria framework for designing ETS to support renewable energy, relevant for global carbon pricing reforms. The integrated reform scenario provides concrete policy recommendations that can inform ETS expansions in the EU, China, and other regions considering linkage with renewable energy targets.
👥 読者別の含意
🔬研究者:Demonstrates a novel application of AHP and fuzzy VIKOR to ETS design evaluation, providing a methodological blueprint for multi-criteria policy analysis in carbon markets.
🏢実務担当者:Identifies key ETS design priorities (CO2 reduction, renewable investment, grid integration) that corporate sustainability teams can use to anticipate and prepare for carbon market developments.
🏛政策担当者:The integrated reform scenario offers a concrete, robust policy package for enhancing ETS effectiveness in supporting renewable energy, directly applicable to jurisdictions designing or reforming carbon pricing mechanisms.
📄 Abstract（原文）
This study examines how alternative designs of an emissions trading system (ETS) can better support renewable energy development in the Beijing–Tianjin–Hebei (BTH) region. A hierarchical analytic hierarchy process (AHP) is used to derive weights for six dimensions and 18 sub‐criteria covering economic, environmental, market, institutional, social, and technological aspects of ETS design. These global weights feed into a fuzzy VIKOR model that ranks six policy scenarios, while an AI module clusters experts and tests the robustness of the results. The findings show that environmental effectiveness and technological and innovation impact receive the highest weights ( w = 0.220 and w = 0.195, respectively), followed by economic performance. Within these, CO 2 reduction potential, renewable energy investment response, grid integration support, and carbon price stability emerge as key priorities. The integrated reform scenario is ranked first ( Q = 0.27; Rank = 1) and remains robust across extensive sensitivity tests. It combines a tighter cap, broader sector coverage, price‐stability tools, and earmarked revenues for renewable deployment and grid upgrades. The study concludes that, for BTH, an ETS design that links strong carbon constraints with predictable prices, credible institutions, and targeted renewable support is most preferred under a multi‐criteria assessment.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1002/gj.70248first seen 2026-05-05 22:52:05
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。