ESG Integrity and Financial Performance: The Interplay Between Sustainability and Earnings Management
ESGの整合性と財務パフォーマンス:持続可能性と利益管理の相互作用 (AI 翻訳)
Jaime Teixeira, Amélia Carvalho, Cecília Carmo
🤖 gxceed AI 要約
日本語
本レビューは、ESGと財務パフォーマンスの関係を205本の論文から分析し、ESGが価値創造につながる条件を明らかにした。強固な内部ガバナンスと高品質な報告に支えられた場合、ESGは持続的な財務価値と関連する。逆に、弱い制度環境では、経営者の機会主義や利益管理の隠れ蓑となる。研究は、ESGの実質性、ジェンダー多様性、グリーンとデジタルの「ツイン・トランジション」への焦点のシフトを示している。
English
This review analyzes 205 articles on the ESG-financial performance relationship, identifying a 'conditional chain': ESG creates value when backed by strong governance and high-quality reporting, but can serve as a mask for earnings management in weak institutional settings. The literature shifts from broad CSR to material ESG metrics, gender diversity, and the 'Twin Transition' (green and digital). The paper introduces a conceptual framework to avoid construct conflation between governance and ESG, offering a roadmap for future research on causal identification and granular measurement of earnings 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
日本企業はSSBJや統合報告書に対応する中で、ESGと財務パフォーマンスの関連性を正しく理解することが重要。本論文は、ESGが価値創造に結びつく条件を示し、グリーンウォッシングのリスクを警告する枠組みを提供する。
In the global GX context
Globally, as ESG disclosure becomes mandatory under ISSB, CSRD, and SEC climate rules, this paper provides a critical synthesis of when ESG integrity translates into financial performance. It highlights the role of governance and reporting quality, offering insights for investors and regulators seeking to distinguish genuine sustainability from greenwashing.
👥 読者別の含意
🔬研究者:Researchers can use the proposed conceptual framework to avoid 'construct conflation' between governance and ESG, and focus on causal identification and granular measurement of real versus accrual-based earnings management.
🏢実務担当者:Corporate sustainability teams should note that ESG credibility requires strong internal governance and high-quality reporting; otherwise, ESG efforts may be perceived as masking earnings management.
🏛政策担当者:Policymakers can leverage the findings to design disclosure regulations that incentivize genuine ESG integration rather than symbolic compliance, especially in weak institutional settings.
📄 Abstract(原文)
There is substantial empirical heterogeneity in the literature on the intersection between ESG performance and financial outcomes. To address this fragmentation, we foreground ESG integrity, the alignment between sustainability claims and high-quality financial reporting, as the mechanism through which ESG is translated into value. Using Scopus and Web of Science, the study identifies and screens 205 peer-reviewed articles published until October 2025 that jointly address ESG, earnings management, and financial performance. Using VOSviewer and Bibliometrix, we map the conceptual and intellectual structure and synthesize the evidence via interdisciplinary integration. We identify four primary intellectual pillars that govern the ESG–financial performance relationship: national institutions, governance architectures, disclosure quality, and earnings quality. The results suggest a “conditional chain” where ESG tends to be associated with sustained financial value when anchored in rigorous internal governance and high-quality reporting. Conversely, in weak institutional settings, ESG often serves as a “masking” mechanism for managerial opportunism and earnings management. The study reveals a significant shift in the literature from broad corporate social responsibility narratives toward material ESG metrics, gender diversity, and the “Twin Transition” (green and digital). This paper moves beyond traditional descriptive reviews by introducing a conceptual framework to mitigate “construct conflation” between governance and ESG. It provides a critical roadmap for future research, emphasizing the need for causal identification and granular measurement of real versus accrual-based earnings management.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/su18041764first seen 2026-05-05 23:15:12
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。