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The impact of artificial intelligence (AI) finance on financing constraints of non-SOE firms in emerging markets

Author

Listed:
  • Jun Shao
  • Zhukun Lou
  • Chong Wang
  • Jinye Mao
  • Ailin Ye

Abstract

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.

Suggested Citation

  • Jun Shao & Zhukun Lou & Chong Wang & Jinye Mao & Ailin Ye, 2021. "The impact of artificial intelligence (AI) finance on financing constraints of non-SOE firms in emerging markets," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(4), pages 930-944, October.
  • Handle: RePEc:eme:ijoemp:ijoem-02-2021-0299
    DOI: 10.1108/IJOEM-02-2021-0299
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