不確実性下における米国エネルギー転換の推進：金融発展、原油価格、気候政策の不確実性
Powering the U.S. Energy Transition Amid Uncertainty: Financial Development, Oil Prices, and Climate Policy Uncertainty (原題)
Seyed Alireza Athari, Kamel Si Mohammed, Asaad Sendi, Emmanuel Oluwatosin Adewusi, Nushaba Gadimli
🤖 gxceed AI 要約
日本語
本論文は2005〜2026年の月次データを用い、気候政策の不確実性・金融発展・原油価格が米国のエネルギー転換（再エネ消費）に与える影響を分位点回帰カーネル法で分析する。効果は市場状態により大きく異なり、気候政策不確実性は低分位で正、中位で負、高分位で再び正となる。金融発展と原油価格も分位点により符号が反転し、政策安定性と信用配分の重要性を示す。
English
Using monthly 2005–2026 U.S. data, this study applies multivariate quantile-on-quantile kernel regularized least squares to test how climate policy uncertainty, financial development, and oil prices shape renewable energy consumption. Effects are highly state-dependent: climate policy uncertainty is positive at low quantiles, negative mid-distribution, and positive again at the top; financial development and oil prices also flip sign across quantiles. Findings stress policy stability, credit allocation, and energy market conditions for renewable expansion.
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・GX経済移行債による長期政策コミットメントが投資判断の鍵となるため、政策不確実性が再エネ投資を抑制しうるという本知見は、日本の政策安定性の意義を裏付ける材料になる。
In the global GX context
Amid ISSB/TCFD-driven transition planning and growing investor scrutiny of policy risk, this paper offers empirical evidence that climate policy uncertainty itself distorts clean-energy investment—relevant to transition finance and sovereign climate policy credibility debates.
👥 読者別の含意
🔬研究者:分位点カーネル回帰による状態依存効果の実証手法と、政策不確実性の非線形影響の証拠を参考にできる。
🏢実務担当者:再エネ調達や長期投資計画において、政策不確実性をリスク要因として定量評価する視点を得られる。
🏛政策担当者:気候政策の予見可能性と安定性が再エネ拡大に直結することを示す政策的示唆がある。
📄 Abstract（原文）
This study examines how climate policy uncertainty, financial development, and oil prices shape the United States energy transition, using monthly data from 2005 to 2026. Energy transition is measured by renewable energy consumption, while inflation and industrial production are included as controls. The empirical analysis applies multivariate quantile on quantile kernel regularized least squares to capture state-dependent effects across the distributions of the explanatory variables and energy transition. Preliminary evidence from unit root, normality, and nonlinearity tests supports the use of a flexible distribution-sensitive framework. The results reveal substantial heterogeneity across market states. Climate policy uncertainty records a positive coefficient of 0.0474 at the 0.05 quantile, but turns negative at the 0.40 and 0.45 quantiles, reaching −0.1579 at the 0.45 quantile, before becoming positive again at the 0.95 quantile with a coefficient of 0.0367. Financial development exhibits stronger variation, moving from −0.4659 at the 0.05 quantile and −0.5484 at the median to 0.3575 at the 0.65 quantile and 0.2548 at the 0.95 quantile. Oil prices are positively associated with energy transition at the lower tail, with a coefficient of 0.1118 at the 0.05 quantile, but become negative at higher quantiles, reaching −0.2383 at the 0.90 quantile. Quantile kernel regularized least squares estimates provide complementary robustness evidence. The findings underscore the importance of policy stability, credit allocation, and energy market conditions for renewable energy expansion during changing macroeconomic and transition conditions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19204952first seen 2026-11-07 04:39:06
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