Capital providers’ effects on the ESG performance scores of European industrial firms: frequentist and Bayesian approaches
Joachim Rojahn, Florian Zechser
🤖 gxceed AI 要約
日本語
本研究は、欧州の産業企業135社を対象に、大株主や債権者などの外部資本提供者がESGパフォーマンススコアに与える影響を、頻度論的およびベイズ分析を用いて検証した。所有権集中は社会的・ガバナンススコアに負の影響を与える一方、企業所有は環境パフォーマンスに正の影響を与えることが示された。ベイズ分析により、負債と社会スコアの正の関連が高い確率で確認された。
English
This study examines the effects of external capital providers (largest shareholders and debtholders) on ESG performance scores for 135 European industrial firms using both frequentist and Bayesian approaches. Findings show ownership concentration negatively affects social and governance scores, while corporate ownership positively affects environmental performance. Bayesian analysis reveals a high probability of a positive debt-social score association.
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
本論文は欧州のデータに基づくが、日本企業においても所有構造とESGスコアの関係は重要であり、SSBJ開示や機関投資家のエンゲージメントに示唆を与える。特に、非金融法人が大株主である場合の環境パフォーマンス向上効果は、日本の事業会社間の株式持ち合いの影響を考える参考となる。
In the global GX context
This paper provides insights into how ownership and debt structures influence ESG scores, relevant for global disclosure frameworks like ISSB and EU CSRD that require governance disclosure. The Bayesian approach offers a robust method for quantifying uncertainty in ESG determinants, which can be applied in transition finance and climate risk assessment.
👥 読者別の含意
🔬研究者:The Bayesian approach for quantifying ESG determinant probabilities offers a methodological contribution for corporate governance and ESG research.
🏢実務担当者:Corporate sustainability teams can use the findings to understand how ownership concentration and debt levels may affect ESG scores, informing investor relations and disclosure strategy.
🏛政策担当者:The results suggest that regulatory focus on ownership transparency and debt governance could indirectly influence ESG outcomes, relevant for sustainable finance regulations.
📄 Abstract（原文）
This study aims to explore the effects of external capital providers, particularly the largest shareholders and debtholders, on environmental, social and governance (ESG) performance scores and three European industrial companies’ ESG pillar scores. The sample consists of 135 industrial services and goods companies that were members of the STOXX Europe 600 Index during the 2019–2023 period. This selection enables the exploration of the effects of external capital providers beyond the constraints of intense public scrutiny within the industry. The study uses regression-based analyses complemented by Bayesian approaches. Because the sample period begins after the adoption of the Sustainable Finance Disclosure Regulation and the European Green Deal, the results provide valuable insights for policymakers, regulators and minority shareholders. The findings consistently show that ownership concentration negatively affects social and governance scores, whereas corporate ownership positively affects environmental performance, likely because of potential synergies. In addition, financial investors appear to respond more to ESG controversies than to actively shape the ESG efforts of portfolio companies. Finally, Bayesian analysis reveals a high probability of a positive debt–social score association. While previous studies have primarily relied on frequentist methods to assess ESG determinants at the aggregate level, this study leverages Bayesian analyses to quantify the likelihood that the largest shareholders and debtholders affect ESG performance positively or negatively. Furthermore, it broadens the scope of ESG research by investigating the role of non-financial corporations as significant equity holders, a topic that has received limited attention.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/raf-12-2024-0560first seen 2026-07-01 05:46:08
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