Fluctuations in Green Finance and Non-Renewable Energy Production
グリーンファイナンスと非再生可能エネルギー生産の変動 (AI 翻訳)
Ghadah Nasseif
🤖 gxceed AI 要約
日本語
本研究は、米国の時系列データ（1985年1月～2020年12月）を用いて、グリーンファイナンス（GF）の変動が非再生可能エネルギー生産（NREP）に与える影響をQQRアプローチで分析。正のGF変動はNREPを減少させる一方、負の変動はNREPを促進することを発見。SDGs 7（手頃でクリーンなエネルギー）と13（気候変動対策）への貢献を示唆し、米国におけるクリーンエネルギー移行の政策提言を行う。
English
This study examines the impact of green finance (GF) fluctuations on non-renewable energy production (NREP) in the USA using quantile-on-quantile regression on monthly data from 1985 to 2020. Positive GF shocks reduce NREP, while negative shocks increase it. Findings support SDGs 7 and 13, offering policy recommendations for clean 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
米国を対象とした研究だが、日本でもグリーンファイナンスの変動がエネルギー転換に与える影響を考察する上で参考になる。特に、金融市場の状況に応じた非再生可能エネルギー生産への影響は、日本のエネルギー政策やGX投資戦略に示唆を与える。
In the global GX context
This paper provides empirical evidence on how green finance fluctuations affect non-renewable energy production, relevant to global energy transition discussions. While US-focused, the quantile-based approach offers insights for other countries, including Japan, on the conditional effects of green finance.
👥 読者別の含意
🔬研究者:Demonstrates a novel application of QQR to analyze asymmetric effects of green finance on non-renewable energy, useful for energy-finance nexus studies.
🏢実務担当者:Highlights that positive green finance shocks can reduce non-renewable energy production, informing corporate investment strategies in clean energy.
🏛政策担当者:Suggests that promoting green finance can accelerate energy transition, but negative shocks may hinder progress, guiding policy design for stable green finance flows.
📄 Abstract（原文）
The USA has been confronting climate change due to the overuse of non-renewable energy sources. In this scenario, the energy transition from non-renewables to renewable energy is indispensable. Numerous studies in the literature have analyzed the relationship between green finance (GF) and clean energy sources. At the same time, minimal attention has been given to non-renewable energy production, specifically across different financial market conditions. GF is an effective instrument that can expedite energy transition. Therefore, this study examines whether GF fluctuations impact non-renewable energy production (NREP). The study uses the time series dataset of the USA covering the period 1985M1-2020M12. The findings of the quantile-on-quantile regression (QQR) approach explain that positive GF fluctuations decrease NREP across quantiles. The negative fluctuations in GF promote NREP across the quantiles of both variables. The findings directly contribute to achieving the United Nations Sustainable Development Goals (SDGs), specifically those related to affordable and clean energy (SDGs-7) and Climate action (SDGs-13). Based on the findings, the study put forward relevant policy recommendations to promote clean energy transition in the USA.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1142/s0219477525400164first seen 2026-05-05 19:07:20
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