THE IMPACT OF ESG REPORTING ON THE INFORMATIONAL VALUE OF FINANCIAL STATEMENTS FOR INSTITUTIONAL INVESTORS
ESG報告が機関投資家向け財務諸表の情報価値に与える影響 (AI 翻訳)
Iryna Dutchak, S. Derevianko, U. Vytvytska
🤖 gxceed AI 要約
日本語
本稿はESG報告が機関投資家の意思決定における財務報告の情報価値に与える影響を検討する。既存研究のレビューにより、ESG開示が情報の非対称性を低減し、透明性と信頼性を高めることを確認。ただしデータの不均一性や基準の未統一が課題であり、統合的評価モデルや標準化の必要性を指摘する。
English
This paper reviews the impact of ESG reporting on the informational value of financial statements for institutional investors. It finds that ESG disclosure improves transparency, reduces information asymmetry, and enhances data reliability. Challenges include data heterogeneity and lack of uniform standards, highlighting the need for integrated models and standardized methodologies.
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が2024年に初の開示基準を公表し、有報への任意適用が始まった。本稿の議論は、ESG情報が財務数値とどう結合されるべきか、標準化と検証の必要性を日本企業に示唆する。
In the global GX context
Globally, TCFD/ISSB standards are pushing ESG disclosure into mainstream reporting. This review confirms that such disclosure enhances financial information quality for investors, supporting the case for mandatory disclosure frameworks like CSRD and SEC climate rules.
👥 読者別の含意
🔬研究者:Provides a structured review of evidence linking ESG disclosure to financial information quality, identifying gaps for future research on integrated reporting models.
🏢実務担当者:Offers rationale for investing in high-quality ESG reporting to improve investor relations and reduce information asymmetry.
🏛政策担当者:Supports the development of uniform ESG standards and verification mechanisms to enhance market efficiency.
📄 Abstract(原文)
The study’s relevance stems from the growing role of non-financial disclosure in corporate reporting and the lack of a clear understanding of the extent to which ESG information enhances the quality and suitability of financial data for investment analysis. The article aims to examine the impact of ESG reporting on the information value of financial reporting for decision-making by institutional investors. The research was based on the works of leading domestic and international scientists. The following methods were used in the work: analysis of the scientific literature to study current developments in the subject; generalization and systematization to present the research results. It was found that ESG disclosure significantly expands the analytical potential of financial reporting by including non-financial indicators that reflect long-term risks, sustainable development factors and strategic sustainability of companies. The analyzed modern methodological approaches to assessing ESG factors in financial analytics demonstrated that integrating ESG indicators contributes to a more comprehensive understanding of company performance, though this is accompanied by challenges related to data heterogeneity and methodological inconsistencies. The empirical evidence reviewed confirms the existence of a positive relationship between the level of ESG disclosure and the quality of financial information, particularly in terms of transparency, reduced information asymmetry and increased data reliability. It is found that institutional investors widely use ESG information to improve risk assessment, optimize portfolio allocation and align investment strategies with sustainable development goals, thereby increasing the overall efficiency of capital markets. It is emphasized that, despite the potential of ESG reporting to significantly enhance the information value of financial reporting, its effectiveness depends on the development of uniform standards, improvements in data verification mechanisms, and greater transparency in disclosure practices. Further scientific research is needed to develop integrated models for assessing the combined impact of financial and ESG indicators on investment decision-making, as well as to standardize ESG reporting methodologies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.eu-scientists.com/index.php/sdel/article/download/838/787first seen 2026-07-03 05:37:56
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。