監査委員会と気候リスク開示：トランスフォーマーによるテキスト分析アプローチ
Audit committees and climate risk disclosure: a transformer-based textual analysis approach (原題)
Damian Honey, Hussain Muhammad, Stefania Migliori
🤖 gxceed AI 要約
日本語
本研究はS&P500企業の10-K Item 1AをClimateBERTで物理的・移行リスク開示に分類し、監査委員会属性との関連を検証した。独立性・性別多様性・専門性は開示を高め、長期在任は低下させる。炭素集約産業で効果が強く、堅牢性も確認された。
English
Using ClimateBERT to classify 10-K Item 1A into physical and transition risk disclosure for S&P 500 firms, this study links audit committee attributes to disclosure depth. Independence, gender diversity and expertise raise disclosure, while longer tenure lowers it. Effects are stronger in carbon-intensive sectors and robust across tests.
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
SSBJ・有報での気候リスク記述とガバナンス体制の関係を考える上で示唆的。監査委員会の構成が開示の質を左右する点は日本企業の開示体制設計に直結する。
In the global GX context
Adds governance-side evidence to the SEC climate disclosure debate, showing how board oversight structures shape climate-risk narratives under a common reporting regime—relevant to ISSB/TCFD implementation globally.
👥 読者別の含意
🔬研究者:トランスフォーマーNLPで物理・移行リスクを分離するスケーラブルなガバナンス×開示研究の手法を提供する。
🏢実務担当者:監査委員会の構成（独立性・多様性・専門性）が10-K気候リスク記述の充実度に影響することを示す。
🏛政策担当者:同一開示規制下での企業間差を説明する要因としてガバナンス特性を考慮すべきことを示唆する。
📄 Abstract（原文）
This study aims to examine whether audit committee (AC) attributes are associated with the extent of climate risk disclosure in mandated US annual reports, distinguishing between physical- and transition-risk discussion in 10-K Item 1A (Risk Factors). Using S&P 500 firms, the study extracts Item 1A from 10-K filings and applies a transformer-based NLP classifier (ClimateBERT) to score firm-year physical- and transition-risk disclosure. Multiple regression models and alternative proxies are used to test the robustness of results. The results show that AC independence, gender diversity and expertise are associated with higher physical- and transition-risk disclosure, consistent with stronger monitoring and closer review of climate-related narratives in 10-K filings. Longer committee tenure is linked to lower disclosure, suggesting that familiarity with management may soften scrutiny over time. The presence of an AC is also associated with higher disclosure. These results are stronger in carbon-intensive sectors and remain stable across multiple robustness tests. The study is limited to large US non-financial firms (S&P 500), which may restrict generalizability. The dependent variables are disclosure-based measures derived from textual classification of Item 1A and reflect how risks are communicated rather than underlying exposure. Boards, AC chairs and investors can expect AC composition to shape the depth and clarity of climate-risk discussion in 10-K risk factors. Independence, gender mix and expertise are linked to fuller narratives that help users assess physical hazards and transition pressures. Regulators may also view AC features as part of the reporting system that helps explain cross-firm differences in climate-risk communication under a common US regime. The study connects AC design to climate-risk disclosure in Form 10-K filings by using transformer-based text analytics that separate physical from transition risk within Item 1A. This provides fresh evidence on how reporting oversight relates to emerging-risk narratives and offers a scalable method for governance–disclosure research.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/maj-08-2025-4955first seen 2026-11-04 05:45:03 · last seen 2026-11-05 06:10:14
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