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Driving factors of capital allocation efficiency in the artificial intelligence industry in China– the perspective of a financing ecosystem

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  • Chengxuan Geng
  • Ke Xu
  • Xiaoshu Wei

Abstract

Based on a comprehensive consideration of financing ecological factors, this study constructs a financing ecosystem and capital allocation efficiency model to simulate the driving factors of capital allocation efficiency in the artificial intelligence (AI) industry. Our findings show that the capital allocation efficiency of the AI industry is expected to gradually decrease. Among the various components of the financing ecosystem, capital allocation efficiency is most sensitive to human capital quality, followed by the development of banking, marketisation level, degree of government intervention, and opening-up level. Finally, suggestions for optimising the financing ecosystem and improving capital allocation efficiency are presented.

Suggested Citation

  • Chengxuan Geng & Ke Xu & Xiaoshu Wei, 2023. "Driving factors of capital allocation efficiency in the artificial intelligence industry in China– the perspective of a financing ecosystem," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 30(5), pages 1246-1263, September.
    • Handle: RePEc:taf:raaexx:v:30:y:2023:i:5:p:1246-1263
    DOI: 10.1080/16081625.2022.2054832
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