投资者沟通能否改善企业社会责任?基于机器学习的文本分析

IF 1.9 Q2 BUSINESS, FINANCE China Journal of Accounting Research Pub Date : 2024-06-13 DOI:10.1016/j.cjar.2024.100370
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引用次数: 0

摘要

在本研究中,我们采用基于机器学习的方法来衡量机构投资者在实地考察期间与企业沟通时对企业社会责任(CSR)问题的关注程度。我们发现,机构投资者可以通过与企业社会责任相关的沟通有效提高企业社会责任绩效。这种效应经各种检验后仍然是稳健的,而且在非国有企业和机构所有权水平较低的企业中,以及在《绿色投资指南》发布后的时期,这种效应更加明显。我们还发现,信息不对称和融资限制是产生这种效应的两种机制。总之,我们的研究结果凸显了管理层与机构投资者之间的私人互动在促进企业社会责任方面的重要性。
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Does investor communication improve corporate social responsibility? A machine learning-based textual analysis

In this study, we take a machine learning-based approach to measure institutional investor attention to corporate social responsibility (CSR) issues when communicating with firms during site visits. We find that institutional investors can effectively enhance CSR performance through CSR-related communication. This effect remains robust to various checks and is more pronounced for non-state-owned enterprises and firms with lower levels of institutional ownership and in periods following the issuance of Green Investment Guidelines. We also identify information asymmetry and financing constraints as the two mechanisms underlying this effect. Overall, our findings highlight the importance of private interactions between management and institutional investors in promoting CSR.

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来源期刊
CiteScore
4.70
自引率
0.00%
发文量
295
审稿时长
15 weeks
期刊介绍: The focus of the China Journal of Accounting Research is to publish theoretical and empirical research papers that use contemporary research methodologies to investigate issues about accounting, corporate finance, auditing and corporate governance in the Greater China region, countries related to the Belt and Road Initiative, and other emerging and developed markets. The Journal encourages the applications of economic and sociological theories to analyze and explain accounting issues within the legal and institutional framework, and to explore accounting issues under different capital markets accurately and succinctly. The published research articles of the Journal will enable scholars to extract relevant issues about accounting, corporate finance, auditing and corporate governance related to the capital markets and institutional environment.
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