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Analysis of the Impact of Environmental, Social, Governance Rating Disagreements on Corporate Green Loans

環境・社会・ガバナンス(ESG)格付けの不一致が企業のグリーンローンに与える影響の分析 (AI 翻訳)

Qidong Zhang

Journal of Innovation and Development📚 査読済 / ジャーナル2026-03-13#ESGOrigin: CN
DOI: 10.54097/k20h5w59
原典: https://doi.org/10.54097/k20h5w59

🤖 gxceed AI 要約

日本語

本論文は、ESG格付けの機関による差異(不一致)が企業のグリーンローン取得に及ぼす影響を分析。不一致が大きいほど、銀行は審査コスト増加や情報の信頼性低下により、グリーンローンの規模が減少し、金利優遇幅も縮小することを実証。ESG評価基準の統一と情報開示の透明性向上を提言。

English

This paper empirically analyzes how ESG rating disagreements affect corporate green loans. It finds that greater rating divergence leads to higher verification costs and reduced credibility, resulting in smaller loan amounts and lower interest rate discounts. The study advocates for unified ESG rating standards and improved disclosure transparency to enhance green credit efficiency.

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

日本ではSSBJ(サステナビリティ基準委員会)が開示基準を策定中であり、ESG格付けの不一致は投資家や金融機関の判断を混乱させる要因。本研究の知見は、日本企業のグリーンファイナンス促進や格付け機関の透明性向上に示唆を与える。

In the global GX context

This study contributes to the global debate on ESG rating divergence by quantifying its negative impact on green lending. It underscores the need for standardized ESG metrics and disclosure frameworks, aligning with initiatives like the ISSB and EU CSRD to improve capital allocation efficiency.

👥 読者別の含意

🔬研究者:Provides empirical evidence on the real economic consequences of ESG rating disagreements, opening avenues for further research on rating methodologies and market efficiency.

🏢実務担当者:Banks and corporate sustainability teams can use these findings to reassess how rating divergence affects loan risk assessment and to advocate for clearer ESG reporting.

🏛政策担当者:Highlights the urgency for regulatory convergence in ESG ratings and disclosure standards to support green finance, relevant for policymakers working on sustainable finance roadmaps.

📄 Abstract(原文)

At present, the divergence of Environmental, Social,Governance (ESG) ratings stems from the differences in methodology and data sources of various institutions, which is becoming a research hotspot in the intersection of corporate finance and sustainable finance. The causes and economic consequences of ESG rating divergence are increasing concern at home and abroad, and significant rating differences cause significant obstacles to the process of capital allocation. This paper mainly studies how ESG rating disagreement affects the risk judgment and loan decision of enterprises applying for green credit. Due to the divergent ratings of different financial institutions on the ESG performance of the same enterprise, banks devote more resources to verification, raising the audit cost. At the same time, the rating divergence exposes the credibility problem of ESG information of enterprises, and the poor information and uncertainty make the risk control of green credit more difficult. The degree of ESG rating disagreement is significantly negatively correlated with the scale of green credit obtained by enterprises and the interest rate discount margin. In view of the above core problems, this paper proposes that unifying ESG rating standards and improving the transparency of information disclosure of enterprises can promote the efficiency of corporate green credit and reduce risks.

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