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Climate Policy Uncertainty and Renewable Energy Consumption: Multiple Insights from Digitization, Energy, and Innovation-Oriented Governance

気候政策の不確実性と再生可能エネルギー消費：デジタル化、エネルギー、イノベーション志向ガバナンスからの複合的洞察 (AI 翻訳)

Yuming Zheng, Kai-Hua Wang, Nicoleta-Claudia Moldovan, Lavinia Daniela Mihiț, Nicolescu Ana Cristina

Sustainability📚 査読済 / ジャーナル2026-05-29#エネルギー転換Origin: CN対象セクター: power
DOI: 10.3390/su18115460
原典: https://doi.org/10.3390/su18115460

🤖 gxceed AI 要約

日本語

本研究はローリングウィンドウのグレンジャー因果検定を用いて、中国の再生可能エネルギー消費（REC）と気候政策不確実性（CPU）の動的因果関係を分析。CPUは時間変動的な効果を持ち、RECを安定的に促進することを確認。逆方向のフィードバックには非対称性があり、再生可能エネルギーの発展は政策不確実性を低減する一方、伝統的エネルギー利害に基づく政策改訂は不確実性を高める。短期的なエネルギー構造最適化と長期的な気候制度設計の戦略を提案。

English

This study uses rolling-window Granger causality to examine the dynamic causal nexus between China's renewable energy consumption (REC) and climate policy uncertainty (CPU). CPU has time-varying effects that steadily boost REC, while reverse feedback is asymmetric: renewable growth reduces policy uncertainty, but traditional energy interest-driven revisions heighten it. Proposes differentiated strategies for short-term energy structure optimization and long-term climate institutional 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

日本のエネルギー転換政策やSSBJに基づく情報開示において、政策不確実性が再生可能エネルギー投資に与える影響を理解する上で示唆に富む。日本の再生可能エネルギー導入拡大と政策安定性の関係を考察する際の参考となる。

In the global GX context

This study provides empirical evidence on how climate policy uncertainty affects renewable energy adoption, relevant for global discussions on policy design and transition finance. It highlights the importance of stable policy frameworks to foster green investment, aligning with ISSB and TCFD recommendations on scenario analysis and policy risk disclosure.

👥 読者別の含意

🔬研究者:Provides empirical evidence on the dynamic causality between policy uncertainty and renewable energy consumption, useful for further research on energy transition dynamics.

🏢実務担当者:Highlights the importance of policy stability for renewable energy investments, informing corporate strategy and risk assessment in energy markets.

🏛政策担当者:Emphasizes the need for consistent climate policies to reduce uncertainty and promote renewable energy, guiding policy design and institutional frameworks.

📄 Abstract（原文）

This study applies the rolling window Granger causality method to explore the dynamic causal nexus between China’s renewable energy consumption (REC) and climate policy uncertainty (CPU). From the perspectives of digitalization, energy development and technological innovation, empirical outcomes confirm that CPU exerts time-varying instead of static causal effects and steadily boosts REC expansion. There exists evident asymmetry in the reverse feedback of REC on CPU. Thriving renewable energy development reduces policy uncertainty by validating energy transition feasibility, while traditional energy interest-oriented policy revisions tend to heighten CPU. This study further verifies pronounced temporal heterogeneity in their causal interactions, providing fresh evidence for understanding the linkage between policy uncertainty and green growth. It finally proposes differentiated strategies involving short-term energy structure optimization and long-term climate institutional design to advance stable and resilient energy transition.

🔗 Provenance — このレコードを発見したソース

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。