ESG Initiatives and Corporate Performance: Evidence from Environmental and Diversity Practices in S&P 500 Firms
ESGイニシアチブと企業業績:S&P500企業における環境と多様性の実践からのエビデンス (AI 翻訳)
Faten Ben Bouheni, Manish Tewari, Dima Leshchinskii
🤖 gxceed AI 要約
日本語
本研究は、2010年から2018年のS&P500企業360社を対象に、ESGイニシアチブと企業業績の関連を検証。環境パフォーマンスはROAに正の影響を与え(標準偏差1単位上昇で0.92%ポイント増)、多様性は長期的成長(トービンのQ)に寄与する。環境効果はコスト削減とリスク軽減を通じて、多様性はイノベーションを通じて価値創造に寄与することを示した。
English
This study examines the association between ESG initiatives and corporate performance using 360 S&P 500 firms from 2010-2018. Environmental performance positively relates to current profitability (ROA), with a one-standard-deviation increase associated with a 0.92 percentage point ROA increase, while gender diversity correlates with long-term growth (Tobin's Q). The environmental effect operates through operational cost reduction and risk mitigation, while diversity enhances innovation. Using rigorous identification strategies, the study provides disaggregated evidence on how specific ESG dimensions drive performance.
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
米国S&P500企業の分析だが、ESG各要素が企業価値に与える影響を分解して示しており、日本企業の統合報告やSSBJ開示におけるESG戦略の立案に示唆を与える。特に環境パフォーマンスの収益性への定量的効果は、投資家向け開示の優先順位付けに有用。
In the global GX context
This paper provides rigorous empirical evidence from US firms on how specific ESG dimensions (environmental and diversity) affect financial performance through distinct mechanisms. For global GX scholarship, it supports the materiality of environmental performance and offers quantitatively interpretable effect sizes that inform value-relevance of ESG disclosures. The mechanism analysis (cost reduction vs. innovation) advances the theory of ESG value creation.
👥 読者別の含意
🔬研究者:Provides disaggregated evidence on ESG-performance link with strong identification, useful for researchers studying materiality and mechanism.
🏢実務担当者:Quantifies the financial impact of environmental performance (0.92% ROA increase per SD), supporting internal ROI calculations for ESG initiatives.
🏛政策担当者:Demonstrates that environmental and diversity practices have distinct financial pathways, suggesting regulators consider disaggregated disclosure requirements.
📄 Abstract(原文)
We examine the association between Environmental, Social, and Governance (ESG) initiatives and corporate performance using a sample of 360 S&P 500 firms from 2010 to 2018. Employing MSCI ESG ratings and controlling for industry and time effects, we find that environmental initiatives positively associate with current profitability (ROA), while gender diversity correlates with long-term growth prospects (Tobin’s Q). This study moves beyond aggregated ESG metrics by providing a disaggregated analysis, revealing that different ESG dimensions affect performance through distinct financial mechanisms. To address common endogeneity concerns, we implement a rigorous empirical identification strategy, including propensity score matching, Heckman selection models, and instrumental variable approaches using industry-average instruments. Our results quantify the economic magnitude of these effects, demonstrating that a one-standard-deviation increase in environmental performance corresponds to a 0.92 percentage point increase in ROA, representing approximately $176 million in additional annual net income for the median firm. These findings provide theoretical advancement for the resource-based view and stakeholder theory by showing that specific ESG capabilities serve as valuable, inimitable resources. Ultimately, the study contributes standardized, high-resolution evidence on how specific ESG dimensions drive superior corporate performance. Through mechanism analysis, we show that environmental effects operate primarily via operational cost reduction and risk mitigation, while gender diversity creates value through enhanced innovation findings, which has direct implications for corporate ESG strategy.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.mdpi.com/3042-6618/2/2/10/pdf?version=1781260016first seen 2026-07-19 05:58:42
🔔 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。