Examining ESG Performance Through TNFD‐Aligned Disclosure Practices
TNFD準拠の開示実践を通じたESGパフォーマンスの検証 (AI 翻訳)
Dauda Bola Abdulsalam, Duminda Kuruppuarachchi, Helen Roberts
🤖 gxceed AI 要約
日本語
本研究は、S&P500企業のESG/サステナビリティ報告書に対してNLP手法を適用し、TNFD枠組みへの準拠度とESGパフォーマンスの関連を分析。TNFD準拠、自然関連リスク・機会の明確な識別、包括的な報告が環境スコアおよび総合ESG評価と正の相関を示すことを発見。エンドジェネイティの問題を考慮した頑健性テストでも結果は安定。投資家の意思決定や企業のサステナビリティ報告向上に示唆を与える。
English
This study applies NLP to ESG/sustainability reports of S&P 500 firms (2018-2023) to measure TNFD framework adherence. Findings show that TNFD alignment, clear nature-related risk/opportunity identification, and comprehensive reporting are positively associated with environmental scores and overall ESG ratings. Robustness tests confirm results are not driven by endogeneity. Offers practical insights for investors and firms improving sustainability reporting via TNFD guidelines.
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TNFDへの関心が高まっており、SSBJや有報での自然資本開示の議論が活発化している。本論文はTNFD枠組みの実証的効果を示し、日本企業の開示実務や投資家対応に示唆を与える。
In the global GX context
TNFD is an emerging global framework complementing TCFD and ISSB. This empirical evidence linking TNFD adoption to higher ESG ratings is timely for firms and investors navigating nature-related disclosure mandates (e.g., CSRD, ISSB S1/S2). Demonstrates that NLP can operationalize nature-related risk assessment.
👥 読者別の含意
🔬研究者:Provides empirical validation of TNFD's impact on ESG scores using a novel NLP-based measurement approach, advancing nature-finance literature.
🏢実務担当者:Shows that TNFD-aligned reporting can improve ESG ratings, guiding firms in sustainability report design and investor communication.
🏛政策担当者:Offers evidence that TNFD adoption correlates with higher ESG performance, supporting the case for mandatory nature-related disclosure.
📄 Abstract（原文）
ABSTRACT This study examines adherence to the Taskforce on Nature‐related Financial Disclosures (TNFD) framework in relation to the ESG performance of non‐financial and non‐utility S&P 500 firms. Drawing on legitimacy, stakeholder, and institutional monitoring theories, we construct measures of TNFD, nature‐related risk and opportunity indicators for the period 2018–2023 using a retrieval‐and‐scoring natural language processing (NLP) methodology applied to ESG/sustainability reports. Findings reveal that adherence to the TNFD framework, clear identification of nature‐related risks and opportunities, and comprehensive reporting are positively associated with a firm's environmental score and overall ESG ratings. Robustness tests confirm that endogeneity concerns do not compromise these findings. The results indicate that integrating the TNFD framework provides clearer insights into corporate sustainability and nature‐related performance, potentially influencing investor perceptions and ESG assessments. The results provide practical insights for environmentally conscious investors and companies seeking to enhance their sustainability reporting by integrating the TNFD guidelines.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1002/bse.71279first seen 2026-07-18 09:15:05
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