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The impact of managerial myopia on environmental, social and governance (ESG) engagement: Evidence from Chinese firms

Managers are central to corporate decision-making and face the challenge of balancing short-term market pressures with long-term value creation, including environmental, social, and governance (ESG) issues. However, little is known about the effects of managerial myopia on firms' adoption of lo...

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Bibliographic Details
Published in:Energy economics 2023-06, Vol.122, p.106705, Article 106705
Main Authors: Liu, Hongxun, Zhang, Zihan
Format: Article
Language:English
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Summary:Managers are central to corporate decision-making and face the challenge of balancing short-term market pressures with long-term value creation, including environmental, social, and governance (ESG) issues. However, little is known about the effects of managerial myopia on firms' adoption of long-term oriented ESG strategies. Exploiting variation from differential managerial myopia of Chinese firms over 2008–2019, this study examines the impact of managerial myopia on ESG engagement. The results show that the adoption of ESG engagement is significantly reduced by managerial myopia, with a one standard deviation increase leading to a 7% decrease in the probability of ESG engagement which is potentially large. Our results also show supporting evidence for two promising mechanisms, i.e., public exposure and innovation, through which managerial myopia negatively affects ESG engagement. Furthermore, the study finds that the ESG strategy of firms positively influcences the holdings of investors with longer horizons, providing a financial incentive for firms to engage in ESG issues. These findings can help managers implement long-term strategies that balance short-term market pressures with long-term value creation, including environmental improvement. •Investigating the association between managerial myopia and ESG strategy.•Mechanisms through public exposure and innovation are undermined.•Uncovering the financial motivation of attracting investors with long horizons.•Textual analysis and machine learning are used to measure managerial myopia.
ISSN:0140-9883
1873-6181
DOI:10.1016/j.eneco.2023.106705