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グリーンファイナンス開発、エネルギー革新、気候変動が米国の再生可能エネルギー消費に与える非対称的影響

Asymmetric impacts of green finance development and energy innovation and climate change on United States renewable energy consumption (原題)

T. Saji, George Paul, M. Nagalingam

Discover Environment📚 査読済 / ジャーナル2026-09-01#エネルギー転換Origin: US経営インパクト: 資金調達対象セクター: power
DOI: 10.1007/s44274-026-00972-1
原典: https://link.springer.com/content/pdf/10.1007/s44274-026-00972-1.pdf
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🤖 gxceed AI 要約

日本語

1990〜2023年の米国データを用い、NARDLモデルで再生可能エネルギー消費に対するグリーンファイナンス開発、エネルギー革新、気候変動の非対称的影響を分析。エネルギー革新の正のショックは消費を増加させるが、負のショックは約2倍の悪影響を与える。グリーンファイナンスは負のショックのみが長期的に消費を抑制し、気候変動は短期的な促進要因となる。

English

Using US data from 1990-2023 and a NARDL model, this study reveals asymmetric impacts on renewable energy consumption. Positive energy innovation shocks boost consumption, but negative shocks have nearly twice the adverse effect. Green finance development only curtails consumption through negative shocks, while climate change acts as a short-run catalyst. Findings guide nuanced climate policy design.

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

日本の再生可能エネルギー導入拡大やGX推進政策において、技術革新とグリーンファイナンスの非対称的影響を考慮した政策設計の重要性を示唆。特に、負のショックの影響が大きいことから、安定的な政策支援の必要性が示される。

In the global GX context

This study contributes to global GX scholarship by highlighting asymmetric effects of green finance and innovation on renewable energy consumption, informing policy frameworks under TCFD/ISSB and transition finance. It underscores the need for policies that buffer negative shocks, relevant for countries designing decarbonization strategies.

👥 読者別の含意

🔬研究者:Provides novel empirical evidence on nonlinear dynamics in renewable energy determinants, useful for further modeling.

🏢実務担当者:Highlights the importance of stable green finance and innovation support for renewable energy projects.

🏛政策担当者:Informs design of climate policies that account for asymmetric responses to shocks in finance and technology.

📄 Abstract（原文）

Renewable energy consumption is a critical global imperative for planetary and human well-being. While extant literature has explored various determinants of renewable energy consumption, a significant limitation persists: a predominant focus on linear relationships neglects potential nonlinear dynamics. This research addresses this critical gap by investigating non-linear (asymmetric) effects of key factors- green finance development, energy innovation, and climate change on renewable energy consumption in the United States (US) from 1990 to 2023. Employing the robust econometric methodology of the Non-linear Autoregressive Distributed Lag (NARDL) model, our findings reveal distinct patterns of relationships. It highlights long-run equilibrium relationships among variables, noting that short-term deviations correct over time. This study uncovers pronounced asymmetric impacts of green finance development (GFD) and energy innovation (EI) on renewable energy (RE) consumption. The findings reveal that energy innovation exhibits clear positive and disproportionately negative effects: a positive shock to EI significantly boosts RE consumption, while a negative EI shock results in an adverse effect nearly twice as large. Conversely, the influence of GFD on RE consumption is solely through its downside risk; only negative GFD shocks are found to significantly curtail RE in the long run, whereas positive GFD shocks have statistically insignificant effects. Furthermore, the climate change variable emerges as a pivotal asymmetric positive driver, significantly contributing to renewable energy consumption in the short run. In fact, climate change acts as a short-run catalyst, while its long-run influence is indirect, operating through the financial and technological channels. The research provides novel empirical evidence that innovations in technology and green finance, supported by environmental regulations that mitigate climate change, strengthen efforts to promote renewable energy consumption and decarbonization. These insights offer crucial guidance for policymakers in designing more effective, nuanced climate action frameworks that account for inherent asymmetries in key economic and technological drivers.

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