The impact of artificial intelligence (AI) finance on financing constraints of non-SOE firms in emerging markets
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.
Year of publication: |
2021
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Authors: | Shao, Jun ; Lou, Zhukun ; Wang, Chong ; Mao, Jinye ; Ye, Ailin |
Published in: |
International Journal of Emerging Markets. - Emerald, ISSN 1746-8809, ZDB-ID 2242085-X. - Vol. 17.2021, 4 (01.10.), p. 930-944
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Publisher: |
Emerald |
Saved in:
Online Resource
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