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Extreme weather attribution: re-assessing company values using carbon emissions

異常気象の原因特定:炭素排出量を用いた企業価値の再評価 (AI 翻訳)

Q. Rayer, P. Andrikopoulos

Journal of Applied Accounting Research📚 査読済 / ジャーナル2026-03-03#気候リスクOrigin: Global経営インパクト: 資金調達対象セクター: cross_sector
DOI: 10.1108/jaar-08-2024-0302
原典: https://doi.org/10.1108/jaar-08-2024-0302

🤖 gxceed AI 要約

日本語

本論文は、排出量ベースの気候変動要因分析を用いて企業の潜在的異常気象負債を推定する手法を提示する。ゴードン成長モデルを応用し、企業の異常気象イベント負債を評価。高排出企業では単一イベントで時価総額の3%に達する可能性を示し、経済成長と排出量が気候被害を上回る課題を明らかにした。

English

This paper presents an accessible method for estimating companies' potential extreme weather liabilities using emissions-based attribution. It proposes a modified Gordon growth model to value firms' exposure to extreme weather events. High-emitting firms may face liabilities up to 3% of market capitalization from single events, and the model highlights the challenge of economic growth outstripping climate damages.

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が気候リスク開示を進めており、本手法は企業の気候負債定量化に有用。金融庁の有報開示や投資家対応で異常気象の財務影響評価に活用可能。

In the global GX context

Globally, this framework aligns with TCFD and ISSB requirements for climate risk assessment and scenario analysis. It offers a straightforward method for quantifying extreme weather liabilities, supporting transition finance and disclosure under CSRD and SEC climate rules.

👥 読者別の含意

🔬研究者:Provides a testable framework for linking emissions to firm-level weather liabilities, extending climate-finance literature.

🏢実務担当者:Accountants and financial analysts can use this model to assess climate-related value-at-risk for high-emitting portfolio companies.

🏛政策担当者:Offers a tool for designing carbon pricing policies that reflect corporate liability for extreme weather damages.

📄 Abstract(原文)

We present an accessible method of estimating companies' potential extreme weather liabilities, which can be used by policymakers, accountants, financial analysts, lenders and others to help assess climate risks. Applying the emerging tool of emissions-based attribution, we estimate firms' climate liabilities by proposing an innovative Gordon's growth variant model for firms' potential extreme-weather-event liabilities. Using our modelling approach, high-emitting firms' exposures appear considerable, potentially 3% of market capitalisation from single events. We estimate extreme-weather-event liability growth rates, showing the challenges of economic growth (accompanied by emissions) outstripping climate damages. The study provides a novel framework that can be used to assess the cost of extreme weather (EW) events for firms. Empirical testing is left to future research. Our novel approach to assessing climate liability costs is accessible and straightforward to use by numerous stakeholders. Governments can assess carbon cost implications for high-emitting companies and contextualise corporate value implications against societal costs during policy design when considering responsibility (and cost) assignment to emitters. Accountants and analysts can explore company value sensitivities to extreme weather phenomena, emissions estimates and evolving societal positions on climate responsibility, including litigation. This will allow markets and decision-makers to better respond to corporate emissions' regulatory or financial consequences. We include warming intensification, allowing financial analysts, accounting and risk management professionals to explore potential event liabilities, revised emissions estimates and evolving societal positions on climate damages responsibility (including litigation). Our model enables key economic stakeholders to more effectively integrate the financial impacts of corporate emissions into their decision-making processes and avoid a disruptive transition.

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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。