Does corporate social responsibility influence performance persistence? A signal extraction approach with evidence from Fortune 500 companies
The study seeks to enhance the current understanding of how corporate social responsibility (CSR) and environmental, social, and governance (ESG) factors influence firm performance. We establish a theoretical framework and provide empirical data on the influence of CSR/ESG on the sustained financial...
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Published in: | Technological forecasting & social change Vol. 200; p. 123154 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
Elsevier Inc
01-03-2024
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Subjects: | |
Online Access: | Get full text |
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Summary: | The study seeks to enhance the current understanding of how corporate social responsibility (CSR) and environmental, social, and governance (ESG) factors influence firm performance. We establish a theoretical framework and provide empirical data on the influence of CSR/ESG on the sustained financial performance of publicly traded Fortune 500 companies between 2018 and 2021. Our model explains the way CSR/ESG activities affect a firm's ongoing financial success by revealing valuable signals to stakeholders. We employed quantile regression analysis to assess the connection, and found that a firm's CSR/ESG initiatives have both immediate and lasting long-term effects. Our findings contribute to and expand the literature on firm performance and sustainable competitive advantage. Companies adopting CSR/ESG can enhance a firm's performance and attain a sustainable competitive advantage.
•Study links CSR/ESG to firm performance persistence among Fortune 500 from 2018 to 2021.•CSR/ESG signals to stakeholders can predict long-term financial success in firms.•Quantile regression shows CSR/ESG's immediate and enduring impact on profitability.•Research debates CSR cost vs. benefit; this study suggests a positive long-term effect.•The study offers new insights on CSR/ESG's role in sustaining competitive advantage. |
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ISSN: | 0040-1625 1873-5509 |
DOI: | 10.1016/j.techfore.2023.123154 |