← 論文一覧に戻る

Explaining Renewable Electricity Expansion in Europe: Structural Conditions, Diffusion, and Leadership

欧州における再生可能電力の拡大の説明:構造的条件、拡散、リーダーシップ (AI 翻訳)

Juan Luis Santos

Zenodo (CERN European Organization for Nuclear Research)プレプリント2026-07-01#再生可能エネルギーOrigin: EU対象セクター: power
DOI: 10.5281/zenodo.21114590
原典: https://doi.org/10.5281/zenodo.21114590

🤖 gxceed AI 要約

日本語

欧州34カ国を対象に、風力・太陽光発電の拡大を説明する動的エージェントベースモデルを開発。国内要因、国際波及効果、技術固有のリーダーシップを分離して分析し、リトアニア・フィンランドが風力、ハンガリー・モルドバが太陽光でリーダーシップを示すことを発見。構造的条件が良好でも拡大が遅れる国があることを示した。

English

Develops a dynamic agent-based model for 34 European countries (2015-2024) to decompose renewable electricity expansion into domestic proactivity, international reactivity, and country-specific leadership. Finds that leadership is technology-specific: Lithuania, Finland (wind); Hungary, Moldova (solar). Several countries with favorable conditions expand slower than predicted, highlighting the role of both fundamentals and diffusion.

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

欧州のエビデンスだが、日本の再生可能エネルギー導入計画(地域間連系線やFIT/FIP政策の効果分析)に示唆を与える。リーダーシップ指標の設計は、日本の都道府県別再エネ導入評価にも応用可能。

In the global GX context

Provides a framework to measure renewable energy leadership beyond simple growth rates, relevant for global energy transition policy. Offers empirical evidence on how structural conditions and international diffusion jointly shape national transition paths, informing ISSB/TCFD-aligned scenario analysis and national energy planning.

👥 読者別の含意

🔬研究者:Methodology for decomposing technology-specific leadership in renewable diffusion useful for energy transition modeling.

🏢実務担当者:Results can inform corporate renewable procurement strategy and site selection for PPAs across European markets.

🏛政策担当者:Highlights that favorable fundamentals alone are insufficient; policy and international collaboration matter for accelerating renewables.

📄 Abstract(原文)

European countries differ markedly in the expansion of wind and solar electricity. A dynamic agent-based model is developed for 34 countries over 2015–2024, treating national electricity systems as heterogeneous and interconnected agents. Renewable adoption is decomposed into domestic proactivity, international reactivity, and persistent country-specific leadership. The model accounts for economic conditions, electricity-system structure, resource potential, geography, policy support, technological maturity, and exposure to renewable expansion in connected countries. The results show that leadership differs from simple observed growth and is strongly technology specific. Lithuania, Finland, and Moldova emerge as leading wind performers, while Hungary, Moldova, and Estonia lead in solar. Several countries with favourable structural conditions expand more slowly than predicted. The framework provides a conditional measure of renewable-energy leadership and clarifies how domestic fundamentals and international diffusion jointly shape national transition paths.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

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。