企业大数据分析能力对其商业信用供给的影响及作用机理  

The Impact and Mechanism of Corporate Big Data Analytics Capability on Commercial Credit Provision

作　　者：汪亚楠 万梦玥 徐枫[1] WANG Ya-nan;WAN Meng-yue;XU Feng(School of Economics and Finance,South China University of Technology,Guangzhou 510006,China)

机构地区：[1]华南理工大学经济与金融学院,广东广州510006

出　　处：《广东财经大学学报》2024年第5期38-54,共17页Journal of Guangdong University of Finance & Economics

基　　金：教育部人文社会科学研究青年项目(21YJC790107);中央高校基本科研业务费面上项目(QNMS202302)。

摘　　要：数字经济时代,大数据技术颠覆了企业管理模式,深刻影响着商业信用决策。基于2009—2021年中国A股上市公司年报文本信息,通过文本分析识别方法构建企业大数据分析能力指标体系,研究企业大数据分析能力对其商业信用供给的影响及作用机制。结果表明,大数据分析能力显著提升了企业的商业信用供给水平,且这一作用在产权性质、生命周期、盈余管理水平、信息披露程度等方面表现出异质性,并通过激励企业研发创新、降低供应商集中度和缓解企业融资约束三个渠道进行效应传导。本研究从企业大数据分析能力视角拓展了上市公司如何合理配置供应链资金的经验证据,为数字经济时代供应链金融高质量协同发展提供了理论参考。In the era of digital economy,big data technology has transformed corporate management models and profoundly influenced commercial credit decision-making.Based on the annual reports of China's A-share listed companies spanning from 2009 to 2021,this paper analyzes a dataset comprising an indicator system for corporate big data analytics capability through text analysis methods,investigating how big data analytics capability affects commercial credit provision.The results show that big data analytics capability significantly improves corporate commercial credit provision through incentivizing R&D innovation,reducing supply chain concentration,and alleviating financing constraints,the impact exhibiting heterogeneity on the nature of property rights,lifecycle stage,earnings management practices,and the degree of information disclosure.This study contributes to the empirical literature by elucidating how listed companies can effectively allocate supply chain funds through the lens of corporate big data analytics capability,thereby providing theoretical insights for the high-quality collaborative development of supply chain finance in the digital economy era.

关 键 词：大数据分析能力 商业信用供给 企业研发创新 供应链集中度 融资约束 

分 类 号：F273.1[经济管理—企业管理] F275.1[经济管理—国民经济]