From ESG disclosure to credit risk: evidence from European firms
ESG開示から信用リスクへ：欧州企業からのエビデンス (AI 翻訳)
Agne Kazyte, Rosvaldas Krušna, Alfreda Šapkauskienė
🤖 gxceed AI 要約
日本語
Euro Stoxx 50企業のESG開示と信用リスク（AltmanのZスコア）の関係を2005-2024年のパネルデータで分析。2年ラグで有意な正の関係が見られ、パリ協定以降その重要性が増大。データの年次更新や危機期間未考慮が限界。
English
This study examines the impact of ESG disclosure on credit risk (Altman Z-Score) using panel data of Euro Stoxx 50 firms from 2005-2024. Results show a significant lagged positive relationship, strongest at two years, with increased importance post-Paris Agreement. Limitations include annual data and exclusion of crisis periods.
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
欧州企業の分析だが、日本企業のESG開示と信用リスクの関係を示唆。SSBJや有報での非財務情報開示強化の重要性を裏付けるエビデンスとして参考になる。
In the global GX context
This paper provides empirical evidence that ESG disclosure can reduce credit risk, supporting the business case for mandatory disclosure frameworks like ISSB and CSRD. However, the sample is limited to large European firms, so applicability to other regions should be tested.
👥 読者別の含意
🔬研究者:This study offers fresh evidence on the lagged financial benefits of ESG disclosure, using fixed effects panel models for robust causal inference.
🏢実務担当者:Corporate sustainability teams can use these findings to strengthen the argument for transparent ESG reporting, showing it improves creditworthiness over time.
🏛政策担当者:Regulators can cite this paper to justify mandatory ESG disclosure, as it demonstrates positive effects on financial stability and risk assessment.
📄 Abstract（原文）
This study aims to examine the impact of environmental, social and governance (ESG) disclosure on credit risk at the firm level, focusing on companies listed in the Euro Stoxx 50 index. Specifically, the study evaluates whether transparent and standardized sustainability reporting improves financial stability, as measured by Altman’s Z-Score. A two-way fixed effect panel regression model was applied to annual data from 2005 to 2024. ESG disclosure indicators were analysed alongside financial variables. One-and two-year lagged models were used to assess long-term effects. Hausman and F-tests confirm the robustness and suitability of the model. The results reveal a statistically significant lagged relationship between ESG disclosure and credit risk. Several ESG indicators are linked to improved creditworthiness, as evidenced by higher Altman’s Z-scores. The effects are strongest with a two-year lag, suggesting that ESG reporting builds financial resilience over time. Since the Paris Agreement, the importance of ESG disclosures has increased, underscoring their growing role in credit evaluations. One limitation of the study is that ESG disclosure data on the Bloomberg Terminal is only available annually, resulting in a short time series and few observations per company. Additionally, the lack of a long time series for sustainability-related indicators complicates the study, especially when considering the delayed impact of reporting on credit risk. The study is also limited by its failure to consider crisis periods, such as the 2008–2009 global financial crisis and the 2020–2021 pandemic, which may have affected the importance of credit risk assessment and ESG disclosure. This study presents the direct, long-term impact of ESG disclosure on credit risk. By focusing on large European firms and using fixed effects modelling, the study emphasizes the vital role of standardized ESG reporting in enhancing transparency, investor confidence and the quality of risk assessments in financial markets.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/jfra-05-2025-0443first seen 2026-05-05 23:16:21
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