The Impact of ESG Disclosure on Audit Processes: Optimizing Risk Identification from a Sustainability Perspective
ESG開示が監査プロセスに与える影響:サステナビリティの観点からのリスク特定の最適化 (AI 翻訳)
null Li Junxuan
🤖 gxceed AI 要約
日本語
本論文は、ESG開示が監査実務に与える影響をメタ分析により検証。高品質なESG報告は監査品質、特にリスク特定・コンプライアンス・ステークホルダー保証において有意な正の関連を示す。ESGデータが報告フレームワークに組み込まれるほど、監査の重点テストやリスク対応が強化される。統一的なESG報告基準の必要性を強調し、監査人・規制当局への提言を行う。
English
This meta-analysis examines the impact of ESG disclosure on audit processes. Results show a significant positive association between high-quality ESG reporting and audit quality, especially in risk identification, compliance checking, and stakeholder assurance. When ESG data is embedded in corporate reporting, auditors conduct more focused testing and risk-responsive engagements. The study advocates for mandatory uniform ESG reporting guidelines to enhance audit efficiency and strategic management.
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基準の策定が進み、有報でのサステナビリティ情報開示が義務化されつつある。本論文は、ESG開示が監査のリスク特定プロセスを強化する実証的根拠を提供し、監査法人や企業の内部統制設計に示唆を与える。また、金融庁の監査基準見直しにも関連する。
In the global GX context
Globally, the ISSB standards and CSRD are pushing for mandatory ESG assurance. This paper provides empirical evidence that ESG disclosure improves audit risk identification and quality, supporting the case for integrating ESG assurance into audit mandates. It offers insights for regulators (e.g., SEC, EFRAG) and audit firms adapting to sustainability reporting requirements.
👥 読者別の含意
🔬研究者:Provides meta-analytic evidence on the ESG disclosure-audit quality link, grounding future research in agency, legitimacy, and stakeholder theories.
🏢実務担当者:Audit firms and corporate audit committees can use findings to integrate ESG metrics as leading indicators for operational, regulatory, and reputational risks.
🏛政策担当者:Supports mandatory uniform ESG reporting standards to enhance audit efficiency and consistency, relevant for ISSB, CSRD, and SEC rulemaking.
📄 Abstract(原文)
With Environmental, Social, and Governance (ESG) disclosures at the center of corporate transparency and accountability, their influence on audit procedures has increasingly gained prominence. This paper investigates the influence of ESG disclosure on audit practice, focusing on how it enhances risk identification efficacy within sustainability-based frameworks. Employing a meta-analytic approach, this study integrates the findings of peer-reviewed empirical research to critically investigate the relationship between ESG transparency and audit judgment quality. The results indicate a statistically significant positive association between high-quality ESG reporting and better audit quality, particularly regarding risk identification, checking for compliance, and stakeholder assurance. Drawing from agency theory, legitimacy theory, and stakeholder theory, this paper constructs ESG disclosure as a tool for reputation management and a mechanism for risk mitigation through audit enhancement. The findings also indicate a higher probability of focused audit testing, risk-salient engagements, and greater auditor accountability for companies with high transparency in ESG, especially when ESG data are embedded in the overall corporate reporting framework. External audit functions and audit committees are increasingly employing ESG metrics as leading warning signs for operational risks, regulatory risks, and reputational risks. The study emphasizes the need for mandatory uniform ESG reporting guidelines towards comparability and consistency to optimize audit efficiency and strategic management. Recommendations are extended to auditors, regulators, and corporate governance stakeholders aiming to resynchronize audit planning with evolving ESG accountability systems. The findings also support policy initiatives to bring ESG assurance within audit mandates globally.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.52783/jisem.v10i4.9653first seen 2026-05-05 19:08:04
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。