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

Li Wang, Yuhan Wu, Zeyu Huang, Yanan Wang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Article number103331
JournalInternational Review of Financial Analysis
Volume94
DOIs
StatePublished - Jul 2024

Keywords

  • Big data application
  • Corporate investment decisions
  • R&D investment
  • Transaction costs

Fingerprint

Dive into the research topics of 'Big data application and corporate investment decisions: Evidence from A-share listed companies in China'. Together they form a unique fingerprint.

Cite this