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Beyond Profitability: ESG Performance and Financial Resilience of Banks in Romania and Poland

収益性を超えて:ルーマニアとポーランドの銀行におけるESGパフォーマンスと財務レジリエンス (AI 翻訳)

Tatiana Dănescu, Elena-Vasilica Popa

Sustainability📚 査読済 / ジャーナル2026-07-24#ESGOrigin: EU対象セクター: finance
DOI: 10.3390/su18157546
原典: https://doi.org/10.3390/su18157546
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🤖 gxceed AI 要約

日本語

本研究はルーマニアとポーランドの主要銀行を対象に、ESGパフォーマンスと財務パフォーマンス・レジリエンスの関連を分析。パネル回帰分析の結果、ESGは収益性(ROA、ROE)と有意な関連を示さなかったが、社会的側面は信用リスク指標(不良債権、リスクコスト)と関連がみられた。環境・ガバナンス要素は有意な効果を示さなかった。

English

This study examines the relationship between ESG performance and financial performance/resilience of systemically important banks in Romania and Poland (2020-2024) using panel regression. Results show ESG scores are not significantly associated with profitability (ROA, ROE). However, the social dimension is associated with credit risk indicators (NPL, CoR), while environmental and governance components show no significant effects.

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

本論文はルーマニア・ポーランドの中東欧銀行を対象としており、日本市場に直接適用できるものではない。しかし、ESG要素が財務健全性に与える影響をコンポーネント別に分析している点は、日本企業・金融機関におけるESGマテリアリティ評価の参考となる。

In the global GX context

This paper adds empirical evidence from Central and Eastern European banks to the global ESG-finance literature. It highlights that not all ESG components affect financial outcomes equally, which is relevant for ISSB and TCFD discussions on materiality and risk assessment.

👥 読者別の含意

🔬研究者:Provides panel data evidence from an understudied region, supporting the view that ESG-performance links are context-dependent.

🏢実務担当者:Suggests that social factors (e.g., employee relations) may influence credit risk, warranting attention in risk management.

🏛政策担当者:Indicates regulators should consider differential impacts of ESG components when designing sustainability disclosure mandates.

📄 Abstract(原文)

This study examines the relationship between ESG performance and financial performance and resilience in the banking sector, using a sample of systemically important banking institutions in Romania and Poland for the period 2020–2024. The study aims to assess the extent to which ESG performance contributes to improving financial performance and strengthening the financial resilience of banking institutions operating in these two emerging economies in Central and Eastern Europe. The research employs an empirical framework based on correlation analysis, panel regression models (Fixed Effects and Random Effects), selected on the basis of the Hausman test, with robust standard errors, as well as a robustness analysis using ESG variables lagged by one year. Financial performance is assessed using the Return on Assets (ROA) and Return on Equity (ROE) indicators, whilst financial resilience is analysed using the Capital Adequacy Ratio (CAR), Liquidity Coverage Ratio (LCR), Non-Performing Loans (NPLs) and Cost of Risk (CoR). ESG performance is examined both through the aggregate ESG score and through its individual environmental, social and governance components. The results highlight that ESG performance does not show statistically significant associations with traditional indicators of financial performance. Instead, the analysis reveals differentiated associations between the ESG components and indicators of financial resilience, with the social dimension being associated with credit risk indicators (NPL and CoR), whilst the environmental and governance components do not show significant effects in the estimated models. The study’s contribution lies in the simultaneous analysis of financial performance and financial resilience using a panel framework applied to banks in Romania and Poland, as well as in highlighting the heterogeneous nature of the relationship between ESG components and the various dimensions of financial resilience. The results complement the literature on the banking sector in Central and Eastern Europe and offer relevant implications for banking institutions, investors and regulators, without implying causal relationships between the variables analysed.

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