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The impact of China's new energy vehicle policies on corporate social responsibility: A textual big data analytics approach

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Listed:
  • Chen Cao
  • Yongming Lyu
  • Jun Huang
  • Renjie Luo
  • Hancheng Huang
  • Guilan Yu

Abstract

This study combined the Latent Dirichlet Allocation topic model to explore the potential topics of new energy vehicle (NEV) policies and their impacts on the corporate social responsibility (CSR) of new energy vehicle enterprises. The results reveal that financial subsidies, infrastructure development, and environmental protection are the most popular topics. And these three popular topics have significant positive impacts on the CSR of new energy vehicle enterprises, with infrastructure construction having the most significant impact. Additionally, the intensity of the positive impact on large‐scale enterprises is more significant compared with small‐scale enterprises, and the impact on state‐owned enterprises is more remarkable than on private enterprises. Moreover, these three popular topics have more significant impacts on CSR in China's eastern region. Finally, we conclude this study by discussing the theoretical and practical implications of these findings.

Suggested Citation

  • Chen Cao & Yongming Lyu & Jun Huang & Renjie Luo & Hancheng Huang & Guilan Yu, 2024. "The impact of China's new energy vehicle policies on corporate social responsibility: A textual big data analytics approach," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(6), pages 5327-5342, November.
    • Handle: RePEc:wly:corsem:v:31:y:2024:i:6:p:5327-5342
    DOI: 10.1002/csr.2867
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