The Macro Vulnerabilities to the Clean Energy Transition: An Empirical Assessment
クリーンエネルギー移行におけるマクロ脆弱性：実証的評価 (AI 翻訳)
Helena Domínguez‐Torres
🤖 gxceed AI 要約
日本語
本論文はEU諸国を対象に、政治・経済・社会・技術のマクロ次元が風力・太陽光・水力発電の導入に与える影響を分析。2008年から2022年までの4つの経済期を比較し、fsQCAを用いてマクロ脆弱性が複雑な相互作用と再生可能エネルギー種別に依存することを示す。政策立案には因果の複雑性とエネルギー固有の移行動態を考慮した戦略が必要と提言。
English
This study analyzes how macro-level political, economic, social, and technological factors jointly shape wind, solar, and hydropower deployment in EU countries across four distinct economic periods (2008-2022). Using fsQCA, it finds that macro vulnerabilities to clean energy transitions arise from complex interactions among macro conditions, are specific to each renewable energy type, and exhibit enduring structural patterns across economic scenarios. The findings underscore the need for policy strategies that address causal complexity and energy-specific transition dynamics.
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、エネルギー基本計画やGX実行会議などで再生可能エネルギー導入拡大が政策目標とされている。本論文のマクロ脆弱性分析は、日本の再生可能エネルギー政策が直面する複合的な障壁（経済変動、技術制約、社会的受容性など）を理解する枠組みを提供し、特に経済危機時や回復期における政策のレジリエンス強化に示唆を与える。
In the global GX context
This paper provides a systematic empirical framework for understanding how macro-environmental conditions affect renewable energy deployment across different economic contexts. For global GX scholarship, it introduces a nuanced analytical approach (fsQCA) to capture causal complexity in energy transitions, moving beyond single-factor analyses. The findings are relevant for countries designing resilient renewable energy policies in the face of macroeconomic volatility.
👥 読者別の含意
🔬研究者:Provides a method (fsQCA) to analyze complex macro conditions affecting energy transition, useful for scholars studying multilevel transition dynamics.
🏢実務担当者:Can inform corporate energy procurement strategy by highlighting macro risk factors (e.g., economic crises) that affect renewable energy deployment timelines and costs.
🏛政策担当者:Emphasizes need for differentiated renewable energy policies that recognize unique vulnerabilities of wind, solar, and hydropower, and for strategies resilient to macroeconomic shocks.
📄 Abstract（原文）
ABSTRACT The macro environment is one of the analytical levels of the multilevel transition perspective that has the potential to shape the clean energy transition. Following the Political, Economic, Social and Technological (PEST) framework, the present study analyzes the paths by which these four macro dimensions jointly shape wind, solar, and hydropower energy deployment. The final goal is to identify the macro vulnerabilities to the clean energy transition, that is, how and when the macro environment fosters and hinders the deployment of clean energies. The study has been carried out for EU countries in four different periods in order to identify whether macro environmental dimensions display a varying role in the clean energy transition across different economic contexts. These periods are: (1) a protracted slow‐paced W‐shaped crisis ranging from 2008 to 2013; (2) a protracted and slow‐paced economic recovery ranging from 2014 to 2019; (3) a sharp and fast‐paced V‐shaped crisis in 2020; and (4) a fast‐paced economic recovery in the years 2021 and 2022. Using fuzzy set qualitative comparative analysis (fsQCA), this study shows that macro vulnerabilities in clean energy transitions are shaped by complex interaction dynamics among macro‐level conditions. It further demonstrates that macro vulnerabilities are specific to each type of renewable energy, with wind, solar, and hydropower exhibiting distinct dynamics, while also reflecting enduring structural patterns that persist across different economic scenarios. These insights carry significant policy implications, underscoring the need for strategies that address the causal complexity and recognize the energy‐specific nature of transition dynamics.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/sd.71412first seen 2026-07-26 05:00:12
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