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Financial Performance and Corporate Social Responsibility: Evidence from Mexican Stock Market Firms (2014–2024)

財務パフォーマンスと企業の社会的責任:メキシコ株式市場企業からのエビデンス(2014-2024) (AI 翻訳)

Javier Nieves Almanza, Roberto Yoan Castillo Dieguez

Journal of Business📚 査読済 / ジャーナル2026-01-01#AI×ESG経営インパクト: 資金調達対象セクター: cross_sector
DOI: 10.21678/jb.2026.2723
原典: https://revistas.up.edu.pe/index.php/business/article/download/2723/1919
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🤖 gxceed AI 要約

日本語

メキシコ株式市場企業を対象に、ESGスコアと財務パフォーマンスの関係を分析。ANCOVA、ランダムフォレスト、プロビットモデルを用い、ESGスコアがROA・ROEに正の影響を与えることを確認。持続可能な実践が競争優位をもたらす可能性を示す。

English

This study analyzes the relationship between CSR (measured by ESG scores) and financial performance of Mexican listed firms from 2014-2024 using ANCOVA, random forest, and probit models. Results show a positive association with ROA and ROE, suggesting sustainable practices can be a competitive advantage.

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

メキシコ市場におけるESGと財務パフォーマンスの関連性を実証。日本企業や投資家にとって新興国市場でのESG投資の参考となる。

In the global GX context

Adds evidence from an emerging market (Mexico) to the global ESG-financial performance literature. Useful for international investors and companies assessing ESG impacts in Latin America.

👥 読者別の含意

🔬研究者:Provides empirical evidence from Mexico using ML methods, contributing to CSR-financial performance literature.

🏢実務担当者:Suggests that ESG improvements may enhance profitability, supporting corporate sustainability strategies.

🏛政策担当者:Highlights the potential for ESG to drive financial performance, informing sustainable finance policies in emerging markets.

📄 Abstract(原文)

This study analyzes the relationship between corporate social responsibility (CSR), measured through ESG scores, and the financial performance of companies listed on the S&P/BMV Index of the Mexican Stock Exchange (BMV) during the period 2014 n–2024. Using a quantitative, longitudinal, and non-experimental approach, covariance models (ANCOVA), random forest algorithms, and probit models were applied to evaluate the influence of sustainable practices on key indicators such as ROA, ROE, EBITDA, liquidity, leverage, and volatility. The results reveal a positive and significant association between ESG and profitability indicators (ROA and ROE), while the rest of the indicators present heterogeneous effects. The random forest model confirms the predictive relevance of the ESG score, and the probit model indicates a higher probability of high financial performance among companies with better sustainable practices, although without robust statistical significance. reinforce the strength of the findings. These results, reinforced by cross-validation and robustness tests, confirm that CSR can be a competitive advantage, contributing to both the economic and social objectives of companies.

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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。