Does <scp>ESG</scp> Uncertainty Matter for Renewable and Nonrenewable Energy Consumption? Policy Implications in the Context of <scp>SDG</scp> 7 and <scp>SDG</scp> 13
ESGの不確実性は再生可能および非再生可能エネルギー消費に影響するか？SDG7とSDG13の文脈における政策的含意 (AI 翻訳)
Naif Alsagr, Qasim Raza Syed, Ahsan Anwar
🤖 gxceed AI 要約
日本語
2002～2024年の米国データを用い、ESG不確実性がエネルギー消費パターンに与える影響をウェーブレット分位点回帰で分析。短中期ではエネルギー総消費と非再生可能エネルギー消費に負の影響、長期では弱い正の影響。再生可能エネルギー消費には正の影響が持続。SDG7・13達成に向けた政策示唆を提示。
English
Using US data from 2002-2024 and wavelet quantile regression, this study finds that ESG uncertainty negatively affects total and nonrenewable energy consumption in the short and medium term, with weak positive long-run effects. Renewable energy consumption benefits positively across all time horizons. Policy implications for achieving SDG 7 and 13 are proposed.
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
米国を対象とした実証研究だが、日本のエネルギー政策（特に再生可能エネルギー拡大とESG要素の統合）にも示唆を与える。SSBJや統合報告書においてESGリスク管理が重視される中、不確実性がエネルギー転換に与える影響を考慮することは重要。
In the global GX context
This paper provides novel evidence on how ESG uncertainty shapes energy transitions, relevant for global frameworks like ISSB and transition finance. The wavelet-based method offers a nuanced perspective on temporal dynamics, applicable to other economies.
👥 読者別の含意
🔬研究者:Wavelet quantile regression methodology for analyzing ESG-energy nexus offers a new empirical approach.
🏢実務担当者:Corporate energy strategists can anticipate how ESG uncertainty may affect energy mix decisions and transition planning.
🏛政策担当者:Policy suggestions directly link ESG uncertainty management to achieving SDG 7 and 13 targets.
📄 Abstract（原文）
ABSTRACT In the discourse on environmental sustainability and energy security, energy management is an inevitable policy issue that requires research‐based solutions. Based on this, the present study contributes by examining the impact of environmental, social, and governance (ESG) uncertainty on energy consumption patterns in the USA from 2002 to 2024. To tackle this, the novel wavelet quantile regression is employed as the baseline methodology, and wavelet quantile correlation is used in sensitivity analysis. The outcomes reveal a considerable negative relationship between ESG uncertainty and total energy consumption in the short and medium terms. In the long run, it becomes positive but with low intensity. The impact of ESG uncertainty on renewable energy consumption remains positive for all quantiles in the short, medium, and long run, with certain exceptions. The short‐ and medium‐term association between ESG uncertainty and nonrenewable energy consumption is negative across quantiles, with long‐run impact being weakly positive. Based on the inferences drawn, actions to limit ESG uncertainty and support the energy transition are proposed. The policy suggestions can also help to attain the SDG‐7 (clean energy) and SDG‐13 (climate change) through effective energy management policies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/csr.70670first seen 2026-06-07 04:35:38
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