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Big data application and corporate investment decisions: Evidence from A-share listed companies in China

  • Li Wang
  • , Yuhan Wu
  • , Zeyu Huang
  • , Yanan Wang*
  • *此作品的通讯作者
  • East China Normal University
  • School of Economics
  • South China University of Technology

科研成果: 期刊稿件文章同行评审

摘要

Based on a natural language processing (NLP) method and annual reports from A-share listed companies in China from 2011 to 2020, this paper constructs a big data index for the corporate level and studies the impact of big data on corporate investment decisions. The study finds that big data significantly improves corporate investment decisions. From the perspective of index decomposition, data mining and mobile service are found to significantly improve corporate investment efficiency, while algorithm development and intelligent manufacturing mainly enhance the corporate investment level. The study also notes that heterogeneity may exist due to differences in financial, innovation, and legal environments. In terms of mechanisms, big data can positively influence corporate investment decisions by improving R&D investment and reducing transaction costs.

源语言英语
文章编号103331
期刊International Review of Financial Analysis
94
DOI
出版状态已出版 - 7月 2024

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 9 - 产业、创新和基础设施
    可持续发展目标 9 产业、创新和基础设施

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