Governing the Green Transition: The Role of Artificial Intelligence, Green Finance, and Institutional Governance in Achieving the SDGs Through Renewable Energy
グリーン移行のガバナンス：持続可能な開発目標達成における人工知能、グリーンファイナンス、制度ガバナンスの役割 (AI 翻訳)
Irina Georgescu, Ayşe Meriç Yazıcı, Vildan Bayram, Mesut Öztırak, Ayşegül Toy, Mesut Dogan
🤖 gxceed AI 要約
日本語
本研究は、AI投資、グリーンファイナンス、政府の安定性、制度の質が再生可能エネルギー消費に与える影響を、2014～2023年の15カ国のパネルデータを用いてCS-ARDL法で分析。AI投資とグリーンファイナンスは短・長期ともに再生可能エネルギー消費を有意に促進し、安定した政府と効果的な制度も正の効果を持つことを示した。SDGs 7,9,13,16に沿った政策提言を提示。
English
This study analyzes the impact of AI investment, green finance, government stability, and institutional quality on renewable energy consumption using panel data from 15 leading green finance countries (2014-2023) with CS-ARDL method. AI investment and green finance significantly boost renewable energy consumption in both short and long run; stable governments and effective institutions also have positive effects. Policy recommendations align with SDGs 7, 9, 13, and 16.
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GX推進法に基づく移行債やグリーンファイナンスの拡大が進む中、AI投資と制度の質が再エネ導入に与える効果を実証した本知見は、日本のGX政策や企業の投資判断に示唆を与える。特に政府の安定性と制度の質の重要性は、日本の政治・制度環境の強みを再確認させる。
In the global GX context
This paper provides cross-country empirical evidence on the drivers of renewable energy adoption, relevant to global GX discussions on the role of AI and green finance. It supports the growing emphasis on institutional quality and stable governance in transition finance frameworks, complementing TCFD/ISSB disclosure trends that consider policy and regulatory risks.
👥 読者別の含意
🔬研究者:Provides robust panel data evidence on AI and green finance as drivers of renewable energy, useful for further research on technology-finance-policy interactions.
🏢実務担当者:Highlights the importance of stable governance and green financing for corporate renewable energy investments, informing sustainability strategy and capital allocation.
🏛政策担当者:Offers concrete policy recommendations linking AI, green finance, and institutional quality to renewable energy targets, supporting SDG-aligned policy design.
📄 Abstract（原文）
This study examines the effects of artificial intelligence investments, green financing, government stability, and institutional quality on renewable energy consumption from a multidimensional perspective. Using panel data for the period 2014–2023, 15 leading countries in the field of green financing were included in the analysis. The Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) method was preferred in the empirical analysis; robustness tests were conducted with Fully Modified OLS (FMOLS) and Dynamic OLS (DOLS) estimators to assess the reliability of the findings. According to the findings, artificial intelligence investments have a significant and positive impact on renewable energy consumption in both the short and long term. Similarly, green financing contributes strongly and statistically significantly by enhancing the feasibility of clean energy projects. Furthermore, stable governments and the effective functioning of institutional structures support this process; both factors are observed to have a positive effect on renewable energy consumption. This study offers concrete policy recommendations in line with the United Nations sustainable development goals (SDGs) 7, 9, 13, and 16.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.3390/su17125538first seen 2026-05-05 19:07:38
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