Carbon Footprint of Bank Loans: Opportunities and Risk Implications in the Banking Industry
銀行融資のカーボンフットプリント：銀行業界における機会とリスクの影響 (AI 翻訳)
Honglei Wang, Chen Lin, Kingsley Imandojemu, Omozele Lynda Showunmi, Romanus Osabohien, Felix Orole
🤖 gxceed AI 要約
日本語
本研究は、2005年から2018年の33カ国のパネルデータを用い、銀行の融資ポートフォリオのカーボンフットプリントが銀行の安定性、収益性、コスト効率に与える影響を分析。炭素集約型貸出は短期的には安定性と効率性に寄与するが、長期的な気候リスクが顕在化すれば収益性に悪影響を与える可能性がある。規制の質の調整効果は有意でなく、先進国と新興国で効果に差がある。標準化されたfinanced emissions測定と開示強化が必要。
English
This study examines how the carbon footprint of bank loan portfolios affects bank stability, profitability, and cost efficiency using a panel of 33 countries from 2005-2018. It finds that carbon-intensive lending correlates with higher short-term stability and efficiency, but profitability effects are weak, suggesting latent climate risks. Regulatory quality does not moderate these relationships. Results highlight the need for standardized financed emissions measurement, enhanced disclosure, and climate stress testing.
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、銀行のfinanced emissions（Scope3）と経営指標の関係を実証しており、日本でも金融庁が進める気候関連開示や、日本銀行の気候変動対応オペレーションに関連。SSBJが求めるScope3開示の重要性を数量的に示唆。日本の銀行が国際的にfinanced emissionsを開示する際のリスク評価に活用可能。
In the global GX context
This paper provides empirical evidence on the link between banks' financed emissions and financial performance, directly relevant to global climate disclosure frameworks like ISSB, TCFD, and upcoming SEC rules. It underscores the need for standardized carbon accounting in lending and suggests that short-term gains from carbon-intensive lending may mask long-term transition risks, informing climate stress testing and regulatory oversight.
👥 読者別の含意
🔬研究者:This study offers a multi-country empirical analysis of financed emissions and bank performance, useful for researchers in sustainable finance and climate risk.
🏢実務担当者:Banks can use these findings to assess the financial implications of their lending portfolio's carbon footprint and prioritize emissions measurement.
🏛政策担当者:Regulators should consider mandatory financed emissions disclosure and forward-looking climate stress tests to mitigate systemic risks.
📄 Abstract（原文）
ABSTRACT This study examines whether the carbon footprint of bank loan portfolios influences bank stability, profitability and cost efficiency and whether regulatory quality moderates these relationships. Using a balanced panel of 33 countries from 2005 to 2018, the analysis combines banking‐sector indicators from the World Bank Global Financial Development Database with financed‐emissions measures derived from the IMF climate data repository, alongside relevant macroeconomic and industry controls. To ensure robust inference, the study employs Driscoll–Kraay standard errors, feasible generalised least squares and Lewbel IV‐2SLS estimation to address cross‐sectional dependence, heteroskedasticity, serial correlation and endogeneity. The results show that carbon‐intensive lending is associated with higher measured financial stability and lower cost‐to‐income ratios, indicating short‐run operational benefits linked to established, cash‐flow‐generating sectors where climate risks may not yet be fully internalised. However, the relationship with profitability remains weak and statistically insignificant, suggesting that efficiency gains do not translate into sustained earnings once latent climate exposures, provisioning needs and capital pressures are considered. Regulatory quality does not significantly moderate these relationships, implying that broad institutional strength alone is insufficient to alter the performance effects of carbon‐intensive lending. Additional analysis reveals heterogeneity across country groups, with stronger stability and efficiency effects in advanced economies and weaker outcomes in emerging markets. These findings highlight the need for standardised financed‐emissions measurement, enhanced disclosure and forward‐looking climate stress testing.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/bse.71051first seen 2026-06-06 05:04:04
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