大数据
投资(军事)
业务
索引(排版)
数据库事务
中国
服务(商务)
投资决策
交易成本
会计
产业组织
财务
营销
数据挖掘
数据库
计算机科学
行为经济学
政治
政治学
法学
万维网
作者
Li Wang,Yuhan Wu,Zeyu Huang,Yanan Wang
标识
DOI:10.1016/j.irfa.2024.103331
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, reducing transaction costs, and enhancing information disclosure.
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