Key points are not available for this paper at this time.
Purpose This study investigates the impact of AI finance on financing constraints of non-SOE firms in an emerging market. Design/methodology/approach Using a sample of non-SOE listed companies in China from 2011 to 2018, this research employs the cash–cash flow sensitivity model to examine the effect of AI finance on financing constraints of non-SOE firms. Findings We find that the development of AI finance can alleviate the financing constraints of non-SOE firms. Further, we document that such effect is more pronounced for smaller firms, more innovative firms and firms in developing areas. Practical implications This study suggests that emerging market countries can ease the financing constraints of non-SOE firms by promoting AI finance development. Originality/value This study, to the best of our knowledge, is the first one to explore the relationship between AI finance development and financing constraints of non-SOE firms in emerging markets.
Building similarity graph...
Analyzing shared references across papers
Loading...
Jun Shao
Shanghai Lixin University of Accounting and Finance
Zhukun Lou
Shanghai University
Chong Wang
Chongqing University
International Journal of Emerging Markets
Shanghai University
Naval Postgraduate School
Shanghai Lixin University of Accounting and Finance
Building similarity graph...
Analyzing shared references across papers
Loading...
Shao et al. (Thu,) studied this question.
synapsesocial.com/papers/6a20a8ee7cf5d95c4e72dfe8 — DOI: https://doi.org/10.1108/ijoem-02-2021-0299