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EU諸国における再生可能エネルギーに対する市民の態度と行動：エネルギー危機下のミクロレベル分析

Public attitudes and actions towards renewable energy in the EU countries: A micro-level analysis during the energy crisis (原題)

Ján Huňady, Mária Stachová

Energy📚 査読済 / ジャーナル2026-10-29#再生可能エネルギーOrigin: EU対象セクター: power
DOI: 10.1016/j.energy.2026.142989
原典: https://doi.org/10.1016/j.energy.2026.142989
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🤖 gxceed AI 要約

日本語

EU各国約2.3万人のFlash Eurobarometerミクロデータを用い、エネルギー危機下の再エネに対する態度と導入意欲の規定要因を分析。ロジスティック回帰に分類木・ランダムフォレストを組み合わせ、価格・社会経済要因の影響を特定。態度と行動の乖離（および一部コホートでの逆乖離）を確認し、高価格・高需要地域や高齢者・求職者層への政策的支援を提言する。

English

Using ~23,000 Flash Eurobarometer respondents across EU countries, the study analyzes determinants of attitudes toward and willingness to adopt renewable energy during the energy crisis. Logistic regression combined with classification trees and random forests identifies price and socioeconomic effects. It finds a significant attitude–behaviour gap (and inverse gap for some cohorts) and recommends targeted support for high-price/high-demand regions and cohorts such as the elderly and job seekers.

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

日本では再エネ導入の地域合意形成や電気料金高騰下の家計負担が政策課題となっており、態度と行動の乖離を定量化した本手法は、日本の再エネ政策・普及施策の設計や世論調査設計に示唆を与える。

In the global GX context

Amid the EU energy crisis, this paper quantifies the attitude–behaviour gap in RE adoption, offering evidence relevant to EU energy policy design and to global debates on just transition and affordability—useful for disclosure scholars examining social dimensions of transition planning.

👥 読者別の含意

🔬研究者:MLと計量経済学を組み合わせた世論・行動分析の手法と、態度-行動ギャップの実証枠組みを参考にできる。

🏢実務担当者:再エネ調達や顧客向け施策の設計において、価格感応度やコホート別の行動差を踏まえたコミュニケーションに活用できる。

🏛政策担当者:再エネ普及策において価格支援と特定層（高齢者・求職者）へのターゲティングが態度-行動ギャップ解消に有効である点を政策設計に反映できる。

📄 Abstract（原文）

The paper examines the factors affecting individuals' attitudes towards renewable energy (RE) and their willingness to adopt it. It particularly explores the consequences of changes in energy prices during the EU energy crisis. The study considers both socioeconomic and financial factors as well as non-economic factors. Based on the existing research, this study offers novel empirical insights into the economic aspects and decision-making related to RE usage. The analysis uses micro-level data from the Flash Eurobarometer, with approximately 23,000 respondents across EU countries. To ensure robust results, a combination of statistical and machine learning methods is employed. Classification trees and random forests complement logistic regression results by exploring interconnections in people's attitudes and predicting potential actions. Our results allow us to make recommendations for EU energy policy. We highlighted the effects of energy prices and socio-economic factors on households' decision to adopt RE. Our results suggest the existence of a significant Attitude-Behaviour gap as well as an inverse Attitude-Behaviour gap for some cohorts. Policies to support the adoption of RE should address the identified differences and include tools to reduce costs and support regions with high energy prices and high energy demand, as well as certain cohorts, such as the elderly population and job seekers.

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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。