Spatial interdependencies and the role of PESTLE framework in shaping OECD energy transition pathways
空間的相互依存関係とエネルギー移行経路におけるPESTLEフレームワークの役割：OECD諸国の分析 (AI 翻訳)
Caterina De Lucia, Maria Shabir, Pasquale Pazienza, Marco Maria Matarrese
🤖 gxceed AI 要約
日本語
OECD31カ国を対象に、PESTLE要因（政治、経済、社会、技術、法規、環境）のエネルギー移行への空間的波及効果を分析。 Spatial Durbin Modelの結果、政府政策、金融包摂、人間開発、環境技術革新は正の波及効果を持つ一方、エコロジカルフットプリントとインフレは負の効果を示した。SDGs 7と13に関連した政策示唆を提供。
English
This study examines spatial spillover effects of PESTLE factors on energy transition across 31 OECD economies (1996-2021) using spatial econometrics. The Spatial Durbin Model reveals that government policies, financial inclusion, human development, and green tech innovations positively influence energy transition in both home and neighboring countries, while ecological footprint and inflation have negative spillovers. Findings align with SDGs 7 and 13, offering policy directions for coordinated energy transition.
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
OECD諸国を対象とした分析は、日本のエネルギー移行政策にも示唆を与える。特に、近隣国との政策協調や技術革新の波及効果を考慮した戦略立案に有用。ただし、日本固有の制度やSSBJとの直接的な関連性は薄い。
In the global GX context
This paper provides cross-country evidence on spatial spillovers in energy transition, relevant for global policymakers designing coordinated climate strategies. The PESTLE framework offers a comprehensive lens for understanding interdependencies, aligning with ISSB and CSRD's emphasis on systemic risks. The findings support the need for international policy harmonization in transition finance.
👥 読者別の含意
🔬研究者:The spatial Durbin model and PESTLE application offer a methodological template for studying energy transition determinants across countries.
🏛政策担当者:Highlights importance of cross-border policy coordination and positive spillovers from green innovation and financial inclusion for energy transition.
📄 Abstract（原文）
The present study explores spatial spillover effects of PESTLE (Political, economic, social, technological, legal, and environmental) factors on energy transition (ET) across 31 OECD economies from 1996 to 2021. The inverse distance weight matrix (IDWM) is used for advance spatial econometrics analysis. Global Moran’s I and Local Moran’s tests confirm the presence of spatial autocorrelation. The empirical findings of a Spatial Durbin Model reveal that government policies (GP), financial inclusion (FI), human development (HD) and green technological innovations (GTI) create a positive spillover effect and accelerate the pace of energy transition (ET) in home and neighbouring economies. In contrast, ecological footprint (EF) and inflation produce a negative spillover effect and a decline in ET. The study’s insights, aligned with international accords and Sustainable Development Goals (SDGs) 7 and 13, offer vital directions to decision-makers to strengthen the energy transition process and the challenges to a sustainable growth.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5547/eeep.15.1.clucfirst seen 2026-07-15 04:48:32
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