Sustainability reporting and greenwashing: Implications for transparency and firm value
サステナビリティ報告とグリーンウォッシング:透明性と企業価値への影響 (AI 翻訳)
Sevia Dian Saraswati, Ferry Irawan, Anda Dwiharyadi
🤖 gxceed AI 要約
日本語
本研究は、サステナビリティ報告とグリーンウォッシング、透明性、企業価値の関係を体系的にレビューした。62本の査読論文を分析し、報告が情報非対称性の低減と同時にグリーンウォッシングの手段にもなりうる二面性を明らかにした。企業価値への影響は報告の信頼性に依存し、実質的な報告は価値を高めるが、グリーンウォッシングは長期的な評判低下と投資家信頼の喪失をもたらす。
English
This study systematically reviews the literature on sustainability reporting, greenwashing, transparency, and firm value. Analyzing 62 peer-reviewed articles, it finds that sustainability reporting can both reduce information asymmetry and enable greenwashing, depending on context. The impact on firm value is conditional on disclosure credibility: substantive reporting enhances value, while greenwashing leads to reputational damage and loss of investor trust.
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やTCFD開示が進む中、グリーンウォッシングへの懸念が高まっている。本論文は、報告の二面性を整理した枠組みを提供し、日本の企業や規制当局が「実質的な開示」と「印象操作」を区別するための示唆を与える。
In the global GX context
Amid global moves toward ISSB, CSRD, and SEC climate rules, greenwashing has become a top regulatory concern. This paper synthesizes fragmented evidence to highlight how reporting credibility moderates firm value, urging standard-setters to develop clear greenwashing metrics.
👥 読者別の含意
🔬研究者:Provides a comprehensive framework integrating greenwashing, reporting credibility, and firm value, identifying gaps for future research on standardized metrics and institutional differences.
🏢実務担当者:Emphasizes the critical role of disclosure credibility; sustainability teams should prioritize substantive reporting over symbolic actions to maintain investor trust.
🏛政策担当者:Highlights the need for standardized greenwashing metrics and stronger enforcement to ensure that sustainability reporting delivers transparency rather than deception.
📄 Abstract(原文)
Sustainability reporting has evolved into a critical mechanism for communicating environmental, social, and governance (ESG) performance and enhancing corporate transparency. However, the rapid expansion of sustainability disclosure practices has intensified concerns regarding greenwashing, where firms strategically misrepresent sustainability performance to create a favorable image. This study aims to systematically review and synthesize the literature on the interrelationship between sustainability reporting, greenwashing, transparency, and firm value. Using a systematic literature review approach, this study analyzes 62 peer-reviewed articles published between 2012 and 2025 from Scopus-indexed and high-quality scholarly sources. The findings reveal that sustainability reporting functions as a dual and context-dependent mechanism. On one hand, it reduces information asymmetry, improves disclosure quality, and enhances stakeholder decision-making, particularly in strong regulatory and governance environments. On the other hand, its inherent flexibility enables impression management, symbolic disclosure, and narrative manipulation, thereby facilitating greenwashing practices. The results further indicate that the impact of sustainability reporting on firm value is conditional upon disclosure credibility, where substantive and verifiable reporting contributes positively, while greenwashing leads to reputational damage, declining investor trust, and negative long-term valuation effects. The study also highlights the role of ESG rating divergence, weak standardization, and institutional heterogeneity in shaping disclosure credibility. This research contributes by integrating fragmented literature into a comprehensive framework and identifying greenwashing as a key moderating factor. Future research is encouraged to develop standardized greenwashing metrics and examine cross-country institutional differences.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://jurnalku.org/index.php/educoretax/article/download/2240/1492first seen 2026-07-28 05:28:10
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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。