上海大学学报(社会科学版) ›› 2023, Vol. 40 ›› Issue (4): 128-140.

• • 上一篇    

数字化政府与企业金融化 ——基于大数据管理局的证据

  

  1. 吉赟,华东政法大学商学院 王亚童,湖南大学金融与统计学院博士后  乔智,复旦大学大数据学院博士后
  • 收稿日期:2023-02-24 出版日期:2023-07-15 发布日期:2023-07-20
  • 作者简介:吉赟(1994- ),女,江苏泰州人。华东政法大学商学院讲师。研究方向:公司金融。 王亚童(1990- ),男,湖南长沙人。湖南大学金融与统计学院博士后。研究方向:公司金融。 乔智(1988- )(通讯作者),男,河南郑州人。复旦大学大数据学院博士后。研究方向:金 融科技。
  • 基金资助:
    华东政法大学科学研究项目(20HZJ016)

  1.  JI Yun:Business School, East China University of Political Science and Law;  WANG Yatong:School of Finance and Statistics, Hunan University; QIAO Zhi:School of Big Data, Fudan University, 。Financial Innovation and Development Center, Zhuhai Fudan Innovation Institute
  • Received:2023-02-24 Online:2023-07-15 Published:2023-07-20

摘要: 成立大数据管理局可以集合各方各层信息,将外部环境和政策情况精准推送给相 关企业,从而帮助企业迅速了解外部环境变化,据此做出资产配置调整。以2013—2021年间 A股上市公司为样本,可以利用双重差分模型实证分析成立大数据管理局对企业资产配置金 融化的影响。研究发现,成立大数据管理局显著降低了企业的金融资产配置比例,提高了企 业的固定资产配置比例。机制分析发现,成立大数据管理局能够降低企业的存货增长率,并 提高银行贷款规模。异质性分析表明,成立大数据管理局的影响在民营企业、小规模企业以 及CEO具有一定学术背景的企业体现得更为明显。研究结果揭示了数字经济背景下政府政 务服务转型对微观企业的经济影响及其内在机制,为后续政府合理规划数字公共服务方向提 供了经验证据。

关键词: 大数据管理局, 企业金融化, 双重差分

Abstract: Theoretically, the Big Data Management Bureau is established to gather information from all aspects at all levels so as to accurately send relevant external environmental conditions and policy analysis to enterprises concerned in the hope of helping them quickly understand changes in the external environments and make corresponding asset allocation adjustments. This paper takes the A-share listed companies during the years from 2013 to 2021 as the research sample, and makes an empirical analysis of the impact of the big data administration on the financialization of corporate asset allocation, using the difference-in-differences model. The study finds that the establishment of the Big Data Administration Bureau significantly reduced enterprises’ proportion of financial asset allocation and increased their proportion of fixed asset allocation. Mechanism analysis shows that the establishment of the Big Data Administration Bureau reduced the growth rate of enterprises’inventory and increased their scale of bank loans. The heterogeneity analysis shows that the influence of the Big Data Administration was more obvious on private enterprises, small-scale enterprises, and enterprises whose CEO had a certain academic background. The results reveal the internal mechanism of government service transformation and its economic impact on enterprises under the digital economy, providing empirical evidence for the government to rationally plan the direction of digital public services.

Key words: Big Data Administration Bureau, enterprise financialization, difference in differences

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