The Hidden Benefit of ESG
ESGの隠れた利点 (AI 翻訳)
Dov Solomon, Ido Baum, Rimona Palas, Dalit Gafni
🤖 gxceed AI 要約
日本語
本稿は、ESGスコアが高い企業ほど財務開示の信頼性が高いことを、BRT声明を外的ショックとして用いた因果分析で実証。2016～2021年の米国上場企業2,386社の分析から、ESGフレームワークが内部規律のシグナルであることを示す。
English
This paper provides causal evidence that higher ESG scores lead to more reliable financial disclosure, using the Business Roundtable's 2019 Statement as an exogenous shock. Analyzing 2,386 U.S. firms from 2016-2021, it shows ESG frameworks signal internal corporate discipline.
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
日本の企業でもESGスコアと財務報告の質の関連性が注目されており、本稿の因果的証拠はSSBJ対応や統合報告書の作成においてESG経営の実質的なメリットを裏付ける材料となる。
In the global GX context
Globally, this paper strengthens the case for ESG disclosure mandates (e.g., ISSB, CSRD) by showing that ESG performance aligns with financial reporting quality. It provides regulators with evidence that ESG frameworks serve as a proxy for overall corporate governance.
👥 読者別の含意
🔬研究者:Empirical evidence linking ESG scores to financial reporting quality using quasi-experimental design.
🏢実務担当者:Demonstrates that improving ESG scores can signal better internal controls and reduce the risk of restatements.
🏛政策担当者:Supports the integration of ESG disclosure into financial reporting frameworks as a governance indicator.
📄 Abstract（原文）
This article provides novel empirical evidence that environmental, social, and governance ("ESG") frameworks are measurable signals of corporate internal discipline and oversight: firms with higher ESG scores systematically exhibit more reliable financial disclosure. Examining 2,386 U.S.-listed firms from 2016-2021, we leverage the Business Roundtable's 2019 Statement on the Purpose of a Corporation ("BRT Statement") as an exogenous shock and identify a firm-level causal link: in the post-BRT Statement period, higher ESG scores are followed by significantly fewer financial statement restatements.
🔗 Provenance — このレコードを発見したソース
- SSRN https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6373138first seen 2026-06-22 05:48:59
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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。