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

被引：0
|
作者：
Geng, Chengxuan [1 ]
Xu, Ke [1 ,2 ]
Wei, Xiaoshu [3 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Sch Econ & Management, 29 Jiangjun Dadao, Nanjing, Jiangsu, Peoples R China
[2] Changzhou Inst Technol, Sch Econ & Management, Changzhou, Peoples R China
[3] Jiangsu Univ Technol, Sch Foreign Languages, Changzhou, Peoples R China
来源：
ASIA-PACIFIC JOURNAL OF ACCOUNTING & ECONOMICS | 2023年 / 30卷 / 05期
关键词：
Financing ecosystem; capital allocation efficiency; artificial intelligence industry; system dynamics; driving factors;
D O I：
10.1080/16081625.2022.2054832
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
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.
引用
收藏
页码：1246 / 1263
页数：18
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