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Digital transformation and corporate ESG information disclosure herd effect

Author

Listed:
  • He, Yin
  • Li, Jianzhong
  • Ren, Yuheng

Abstract

This study investigates how digital transformation influences the tendency of companies to engage in herd behavior regarding the disclosure of ESG information. The findings indicate that digital transformation notably increases herd behavior in ESG information disclosure among these companies. Additional analysis considering different types of companies shows that this effect is stronger in private sector firms and those operating in highly competitive environments. The research offers practical insights and serves as an empirical and theoretical resource to support the advancement of digital transformation in businesses, contributing to the broader goal of achieving high-quality economic growth.

Suggested Citation

  • He, Yin & Li, Jianzhong & Ren, Yuheng, 2024. "Digital transformation and corporate ESG information disclosure herd effect," Finance Research Letters, Elsevier, vol. 65(C).
  • Handle: RePEc:eee:finlet:v:65:y:2024:i:c:s1544612324005877
    DOI: 10.1016/j.frl.2024.105557
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    References listed on IDEAS

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    1. Pengpeng Yue & Aslihan Gizem Korkmaz & Zhichao Yin & Haigang Zhou, 2022. "The rise of digital finance: Financial inclusion or debt trap," Papers 2201.09221, arXiv.org.
    2. Nektarios Gavrilakis & Christos Floros, 2023. "ESG performance, herding behavior and stock market returns: evidence from Europe," Operational Research, Springer, vol. 23(1), pages 1-21, March.
    3. Liu, Shasha & Zhao, Huixian & Kong, Gaowen, 2023. "Enterprise digital transformation, breadth of ownership and stock price volatility," International Review of Financial Analysis, Elsevier, vol. 89(C).
    4. Huang, Qiongyu & Xu, Chuhong & Xue, Xiaolong & Zhu, Hui, 2023. "Can digital innovation improve firm performance: Evidence from digital patents of Chinese listed firms," International Review of Financial Analysis, Elsevier, vol. 89(C).
    5. Tian, Guangning & Li, Bo & Cheng, Yue, 2022. "Does digital transformation matter for corporate risk-taking?," Finance Research Letters, Elsevier, vol. 49(C).
    6. Chaiyuth Padungsaksawasdi & Yudhvir Seetharam, 2020. "Herd behavior and firm-specific information," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1844399-184, January.
    7. Yue, Pengpeng & Korkmaz, Aslihan Gizem & Yin, Zhichao & Zhou, Haigang, 2022. "The rise of digital finance: Financial inclusion or debt trap?," Finance Research Letters, Elsevier, vol. 47(PA).
    8. Dou, Bin & Guo, SongLin & Chang, XiaoChen & Wang, Yong, 2023. "Corporate digital transformation and labor structure upgrading," International Review of Financial Analysis, Elsevier, vol. 90(C).
    9. Tang, Jinghua & Wang, Xiaoming & Liu, Qigui, 2023. "The spillover effect of customers' ESG to suppliers," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
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