Impact of temperature on the reporting performance of energy sector companies
気温がエネルギーセクター企業の報告パフォーマンスに与える影響 (AI 翻訳)
Rodchenkov, Mikhail V.
🤖 gxceed AI 要約
日本語
本稿は、20か国55社の上場エネルギー企業を対象に、極端な気温が財務業績に与える影響を回帰モデルで分析。厳しい気候下では資本的支出が営業費用を上回り、財務負担が増大して投資魅力が低下することを実証。J因子の非線形関数は低温域での条件変動の大きさを示し、地域間の資本化の矛盾を部分的に説明。料金設定や経営判断への示唆を提供。
English
This study examines the impact of extreme temperatures on the financial performance of 55 publicly traded energy companies from 20 countries using regression models. It finds that under harsh climates, capital expenditures significantly exceed operating expenses, increasing financial burden and reducing investment attractiveness. A nonlinear J-factor shows greater variability in low temperatures, explaining capitalization contradictions between hot and cold regions. The results inform tariff setting and management decisions.
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
日本でも気候変動による極端気温の増加が懸念され、エネルギー企業の物理的リスク評価が重要に。本稿の手法はSSBJやTCFDに基づく気候リスク開示における財務影響分析の参考となる。
In the global GX context
This paper provides empirical evidence linking extreme temperatures to financial performance in the energy sector, directly supporting TCFD/ISSB climate risk disclosure frameworks. It highlights the need for adaptation strategies and regulatory coordination across regions, relevant for global climate finance discussions.
👥 読者別の含意
🔬研究者:Empirical methodology linking climate variables to corporate financial data offers a template for future climate-finance research.
🏢実務担当者:Energy companies can use findings to quantify physical climate risks and adjust capex/opex planning for extreme weather scenarios.
🏛政策担当者:Results justify differential tariff policies and adaptation subsidies for energy firms in colder regions to ensure market fairness.
📄 Abstract(原文)
This study examines the impact of extreme temperatures on energy-sector companies, highlighting the financial and economic consequences of these temperatures as an important aspect of financial performance analysis. The research methodology is based on the application of regression models to corporate financial statements. This research obtained statistically significant evidence of a relationship among asset structure, financial flows, and external temperature for 55 publicly traded energy companies from 20 countries. The transformation of asset and cost structures is a necessary adaptation measure for companies operating in regions with harsh climates; the results reveal a significant excess of capital expenditures over operating expenses under such conditions. This study identified changes in the structure of financial flows that increased the financial burden and reduced investment attractiveness for these companies. The J-factor's nonlinear function reflects greater variability in operating conditions at low temperatures than at high temperatures, explaining contradictions in capitalization between regions with hot and extremely cold climates. The forced nature of the changes and the involvement of many sectoral players heighten the challenges in finding solutions to ensure market fairness and mitigate the uneven impact of climate change on businesses in colder regions. This study's results partially explain inconsistencies in tariff setting and product cost coordination among companies in regions with extreme climates and those in more temperate areas and outline the contours of required management decisions at the global, national, and corporate levels. The author expresses sincere gratitude to the attendees of the Lomonosov Readings in April 2025 and the 52nd EBES conference in Istanbul in July 2025 for their insightful comments. The author also thanks Professor Viktor Suyts for his continuous support and the companies that provided financial statements and valuable comments for this study.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21127599first seen 2026-07-03 04:15:10 · last seen 2026-07-05 04:14:44
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