Quantifying and monitoring multiple impacts resulting from the implementation of a fair energy transition in coal regions across the European Union
EU全域の石炭地域における公正なエネルギー移行の実施による複合的影響の定量化とモニタリング (AI 翻訳)
M. Peretto, W. Eichhammer, M. Dragović Matosović, S. Spyridakos
🤖 gxceed AI 要約
日本語
本論文は、EUの石炭地域における公正なエネルギー移行の社会、経済、環境、技術的影響を定量化するための指数を開発した。多基準意思決定分析（MCDA）を用いて、地域ごとの特性を考慮し、時系列変化を分析。政策介入の優先領域を特定し、公正な移行を促進するための知見を提供する。
English
This paper develops an index based on Multi-Criteria Decision Analysis (MCDA) to quantify social, economic, environmental, and technical impacts of a fair energy transition in EU coal regions. It enables ex-post analysis over time, identifying areas for policy intervention to facilitate a just transition across regions.
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
日本でも北海道・九州など石炭依存地域の公正な移行が課題。EUの枠組みやMCDA手法は日本の石炭地域政策（例：熱海・釧路）や地域脱炭素ロードマップの策定に参考となる。
In the global GX context
With EU coal regions as a case study, this paper provides a replicable methodology for quantifying multi-dimensional impacts of just transition. It informs global policy frameworks (e.g., ILO just transition guidelines) and supports regional decarbonization strategies.
👥 読者別の含意
🔬研究者:The MCDA-based index offers a structured approach to assess trade-offs in energy transition impacts across dimensions.
🏢実務担当者:Regional planners can use this index to monitor transition progress and identify priority areas for investment or policy.
🏛政策担当者:The ex-post analysis highlights where policy intervention is needed to ensure fairness, relevant for designing just transition funds.
📄 Abstract（原文）
Coal regions are particularly vulnerable to the negative impacts that can arise due to the green energy transition. These impacts can be social, economic, environmental, or technical. A fair energy transition ensures that all the impacts arising from different dimensions are considered and treated evenly. Each coal region in the European Union has specific characteristics. Therefore, and index was developed utilising a Multi-Criteria Decision Analysis (MCDA) methodology to understand and to quantify the degree to which impacts related to a fair energy transition change over time and affect coal regions across the European Union. The index was adapted to perform country-level, dimensional, and regional analyses. The ex-post analyses investigated the evolvement of all impacts from a baseline period to a new timeline, illustrating areas for potential policy intervention per region. Ultimately, this can help to identify appropriate policies and measures, thereby facilitating the implementation of a truly fair energy transition across coal regions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.egycc.2026.100254first seen 2026-07-04 04:33:05
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