Corporate social responsibility and the quality of financial reporting: evidence on classification shifting
企業の社会的責任と財務報告の質:分類組替えに関する証拠 (AI 翻訳)
Mayssa Zalila, Y. Makni, Anis Jarboui
🤖 gxceed AI 要約
日本語
本研究は、欧州企業を対象に、CSR(企業の社会的責任)が分類組替え(経常費用を臨時費用に振り替える利益操作)に与える影響を分析した。2010年から2022年の4,523件の観測値を用いた実証分析の結果、CSRスコアが高い企業ほど分類組替えが少ないことが示された。これは、CSRへの取り組みが財務報告の質を高める可能性を示唆する。
English
This study examines the relationship between CSR and classification shifting (a form of earnings management) using a sample of 4,523 European firm-year observations from 2010-2022. The results show that firms with higher CSR scores exhibit less classification shifting, suggesting that CSR commitment improves financial reporting quality and reduces earnings manipulation.
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
日本においても、サステナビリティ開示(SSBJ基準)の導入が進む中、CSRと財務報告の質の関係を理解することは、投資家の信頼確保や企業の開示戦略に重要な示唆を与える。特に、CSRスコアが高い企業が利益操作を抑制するという本結果は、ESG評価と財務報告の整合性を評価する際の参考となる。
In the global GX context
This paper contributes to the global discourse on ESG and financial reporting quality by demonstrating that CSR commitment can constrain earnings management. It is relevant to regulators and standard-setters (e.g., ISSB, ESMA) concerned with the reliability of ESG information in capital markets.
👥 読者別の含意
🔬研究者:This paper provides empirical evidence on the relationship between CSR and classification shifting, expanding the literature on earnings management determinants.
🏢実務担当者:Corporate sustainability teams can use these findings to argue that strong CSR practices enhance financial reporting credibility, potentially reducing audit and compliance costs.
🏛政策担当者:Regulators should note that CSR-oriented firms may have better financial reporting quality, supporting the case for integrated reporting frameworks.
📄 Abstract(原文)
This paper aims to exa mine the relationship between sustainability and earnings management in the European countries. Specifically, the authors investigate the impact of corporate social responsibility (CSR) on classification shifting, which occurs when management intentionally misclassifies recurring expenses as nonrecurring to inflate perceptions of core earnings. The authors empirically investigate a sample of 4,523 observations between 2010 and 2022. The CSR score is collected from the ASSET4 database, while the other data are obtained from Eikon Refinitiv database. The findings provide evidence of a significant positive relationship between non-recurring expenses (NREC) and unexpected core earnings in both the first and second samples. This suggests that certain companies may have engaged in the practice of shifting recurring expenses to nonrecurring items, artificially inflating their core profits. In particular, the study focuses on examining the interaction between the ESG score and nonrecurring expenses. Interestingly, the authors discovered that the coefficient of this interaction is significantly negative. This implies that classification shifting is less prevalent among firms that demonstrate a commitment to social responsibility. Overall, the results indicate that socially responsible firms exhibit lower levels of classification shifting compared to firms that do not prioritize social responsibility. To the best of the authors’ knowledge, this is the first study to examine the relationship between CSR and classification shifting in the European context. It expands the literature by identifying CSR commitment as a determinant of misclassification behavior across all earnings management strategies, including those most resistant to conventional audit. Unlike previous studies that focused on established moderators such as financial reporting incentives and corporate governance, this study further proposes a dual integrative framework in which agency theory and stakeholder theory function as complementary rather than competing perspectives, explicating the conditions under which CSR limits or facilitates earnings manipulation.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/cg-03-2025-0144first seen 2026-07-18 08:19:08
🔔 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。