Corporate Greenwashing in the ESG Era: Sustainability Claims, Regulatory Challenges, and Investor Risk
ESG時代における企業のグリーンウォッシング:サステナビリティ主張、規制上の課題、投資家リスク (AI 翻訳)
Ukamaka Mercy Esomchi, M. Adeoba, Ahunna Eleanor Dike
🤖 gxceed AI 要約
日本語
本レビューは、グリーンウォッシングに関する財務、会計、経営、マーケティング、環境法の学際的文献を統合し、その定義、要因、検出方法、規制対応、投資家への影響を包括的に分析する。特にEUの強制的開示制度と米国の不確実な状況を対比し、ESG格付機関間の乖離が課題であることを指摘する。さらに、計算論的手法を用いた不一致検出の可能性に言及し、将来の研究課題を提示する。
English
This review synthesizes multidisciplinary literature on corporate greenwashing, tracing its evolution from early legitimacy-based accounts to contemporary measurement frameworks based on the gap between disclosed and actual environmental performance. It contrasts the EU's mandatory disclosure regime with the contested US landscape and examines evidence linking greenwashing to investor risk through cost of capital, ownership structure, and litigation exposure. The review also discusses emerging computational methods for detection and identifies priority research directions.
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によるサステナビリティ開示基準の策定が進む中、本レビューはグリーンウォッシングの実態と規制対応の国際比較を提供する。EUの先行事例と米国の混迷は、日本の開示制度設計に示唆を与える。また、計算論的検出手法は、日本の投資家や監査機関にとって有用である。
In the global GX context
This paper offers a comprehensive synthesis of greenwashing research against the backdrop of rapidly evolving global disclosure standards (ISSB, CSRD, SEC). By contrasting the EU and US approaches and examining investor risk channels, it provides a critical resource for understanding the gap between sustainability rhetoric and performance, which is central to the integrity of climate and ESG disclosures worldwide.
👥 読者別の含意
🔬研究者:Researchers can use this review as a foundation for identifying gaps in greenwashing literature, particularly on detection methods and cross-regulatory comparisons.
🏢実務担当者:Corporate sustainability teams can learn about regulatory trends and detection methods to avoid greenwashing risks in their disclosures.
🏛政策担当者:Policymakers can draw on the comparative regulatory analysis and investor risk evidence to design effective anti-greenwashing rules.
📄 Abstract(原文)
The rapid expansion of environmental, social and governance investing has been accompanied by a parallel rise in corporate greenwashing, the practice of overstating, selectively disclosing, or fabricating environmental credentials to secure reputational, regulatory, or financial advantage. This review synthesises the multidisciplinary literature on greenwashing published across finance, accounting, management, marketing, and environmental law to provide an integrated account of its definitions, drivers, detection methods, regulatory treatment, and consequences for investors. The review traces the evolution of greenwashing typologies from early legitimacy-based accounts to contemporary measurement frameworks built on the gap between disclosed and actual environmental performance, and it examines how divergence among environmental, social and governance rating agencies compounds the difficulty of distinguishing genuine sustainability leaders from symbolic compliers. It then evaluates the regulatory landscape, contrasting the European Union's mandatory disclosure architecture with the more contested and currently unsettled position in the United States, before assessing evidence linking greenwashing to investor risk through channels including cost of capital, ownership structure, and litigation exposure. Sector-specific evidence from executive compensation design is reviewed alongside emerging computational methods for detecting inconsistencies between corporate rhetoric and verifiable environmental outcomes. The review closes by identifying priority directions for future research, drawing conclusions for practitioners and policymakers, and outlining the limitations inherent in a narrative synthesis of a fast-moving and methodologically heterogeneous field.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.56557/jgembr/2026/v18i310857first seen 2026-07-20 05:44:58
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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。