Does the big data credit platform reduce corporate credit resource mismatch: Evidence from China

被引:0
|
作者
Fu, Yiting [1 ]
Zhou, Xin [1 ]
机构
[1] Guangzhou Univ, Sch Econ & Stat, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Big data credit platform; Credit resource mismatch; Quasi-natural experiment; GROWTH;
D O I
10.1016/j.frl.2024.106133
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper uses the construction of China's social credit system as a quasi-natural experiment to examine the impact of big data credit platforms on corporate credit resource allocation. We robustly find that big data credit platforms can reduce corporate credit resource mismatch. Mechanism tests indicate that the primary mechanism is the reduction of information asymmetry. We enriched the study of credit resource mismatch from a big data credit perspective and provided a basis for improving big data credit platforms.
引用
收藏
页数:7
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