Climate and Green Technological Shocks in the U.S. Energy and Financial Sectors: Insights From Mixed-Frequency Profitability Analysis
米国エネルギー・金融セクターにおける気候およびグリーン技術ショック：混合周波数収益性分析からの洞察 (AI 翻訳)
Kazeem O. Isah, Sin‐Yu Ho
🤖 gxceed AI 要約
日本語
本研究は、米国のエネルギー・金融セクターの収益性に対する気候リスクとグリーン技術ショックの影響を、ADL-MIDASモデルを用いて分析。物理的・移行リスクが収益を予測し、グリーン特許を含めると効果が増大。気候レジリエンスと技術進歩の重要性を示す。
English
This study analyzes how climate risks and green technology shocks affect profitability in U.S. energy and financial sectors using an ADL-MIDAS model with mixed-frequency data. Both physical and transition risks predict profits, with stronger effects when green patents are included, highlighting the joint importance of climate resilience and innovation.
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SSBJ開示が進む中、気候リスクが企業収益に与える影響を定量的に示す本分析は、投資家対応やリスク管理に有用。グリーン技術の役割を強調し、政策立案にも示唆を与える。
In the global GX context
This paper contributes to global climate disclosure scholarship by empirically linking climate risks and green innovation to sectoral profitability, relevant for TCFD/ISSB reporting and transition finance decisions.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the predictive power of climate risks and green technology for sectoral profits, useful for further research.
🏢実務担当者:Highlights the importance of integrating climate risk and green innovation into profitability forecasts and strategic planning.
🏛政策担当者:Suggests that policies supporting green technology can mitigate negative impacts of climate risks on key sectors.
📄 Abstract（原文）
This study examines how climate and green technological shocks influence profitability in the U.S. energy and financial sectors. Using a mixed-frequency dataset (2000Q1–2024Q1), we combine daily climate risk indices with quarterly sectoral profits and green patent activity within an ADL-MIDAS framework. Results show that both physical and transition climate risks significantly predict profits, with stronger effects when green innovation is included. Forecast evaluations using the Clark–West test confirms superior predictive performance of green-augmented models. The findings highlight the joint importance of climate resilience and technological progress for sectoral profitability and policy design.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.46557/001c.162725first seen 2026-08-08 04:47:35
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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。