Environmental Technologies, Renewable Energy Consumption and Environmental Sustainability: Do Climate Policy Uncertainties Matter?
環境技術、再生可能エネルギー消費、環境持続可能性：気候政策の不確実性は重要か？ (AI 翻訳)
Liu Aifeng, Mohamed Djafar Henni, Dervis Kirikkaleli, Emmanuel Oluwatosin Adewusi
🤖 gxceed AI 要約
日本語
本研究は、米国の月次データ（2005年1月～2025年11月）を用いて、環境技術、再生可能エネルギー消費、金融政策および気候政策の不確実性が総炭素排出量に与える影響を検討。ウェーブレット分位点回帰分析により、短期では再生可能エネルギー消費が排出増加に寄与する一方、長期では排出削減効果が明確になること、また気候政策の不確実性が持続すると長期排出が増加する可能性を示唆した。
English
This study examines the effects of environmental technologies, renewable energy consumption, monetary policy uncertainty, and climate policy uncertainty on US carbon emissions using monthly data from 2005 to 2025. A wavelet quantile-on-quantile regression reveals that renewable energy consumption increases emissions in the short term but reduces them in the long term, while persistent climate policy uncertainty may raise long-term emissions. The findings underscore the importance of stable climate policy for environmental sustainability.
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推進法に基づく政策の安定性が重要視されるが、本分析は気候政策の不確実性が長期的に排出増加をもたらす可能性を実証しており、日本が脱炭素政策を継続的に実施する必要性を示唆する。
In the global GX context
This paper contributes to the global debate on climate policy stability by providing empirical evidence that persistent climate policy uncertainty can undermine long-term emission reductions, even when renewable energy expands. It offers a nuanced view of how policy uncertainty interacts with technology and energy choices across time horizons, relevant for international frameworks like the Paris Agreement and net-zero transitions.
👥 読者別の含意
🔬研究者:The wavelet quantile-on-quantile method provides a novel way to analyze heterogeneous and time-varying effects of policy uncertainty on emissions, useful for future empirical work.
🏛政策担当者:Highlights that stable and predictable climate policies are crucial for achieving long-term emission reductions, as uncertainty can offset gains from renewable energy deployment.
📄 Abstract（原文）
ABSTRACT In an era of escalating climate pressure, cutting carbon emissions is no longer just a matter of increasing renewable energy use, but also of advancing environmental technologies and ensuring a more predictable monetary and climate policy environment. Thus, this study examines how environmental technologies, total renewable energy consumption, monetary policy uncertainty and climate policy uncertainty shape total carbon emissions in the United States. Using monthly data from 01/04/2005 to 01/11/2025, the analysis applies a novel wavelet quantile‐on‐quantile regression approach to uncover heterogeneous effects across different emission conditions and time horizons. The findings reveal that total TREC exerts a mostly positive effect on emissions in the short term, becomes mixed in the medium term, and turns largely negative in the long term. CPU also displays mixed short‐ and medium‐term effects, but its long‐term impact is more frequently positive, implying that persistent climate‐policy instability may raise emissions. ET exhibit heterogeneous effects, with some short‐term emission‐reducing impacts and clearer medium‐ and long‐term mitigation patterns. MP remains mixed in the short term but becomes more positive in the medium and long term. These findings offer important implications for the United States.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/gj.70308first seen 2026-05-17 04:46:53
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