Affiliations: School of Graduate, Wuhan University of Technology, Wuhan, P.R. China
Correspondence:
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Corresponding author. Xiong Bin, School of Graduate, Wuhan University of Technology, Wuhan, P.R. China. E-mail: ppra8715@163.com.
Abstract: As an important part of China’s strategic emerging industries, the development of AI industry is rapid. The state and local governments have issued policies to encourage its development. The number of AI enterprises is increasing, its quality is also improving, and the application scope and market share of products are gradually expanding. With the large amount of capital input, the efficiency of capital input-output in AI enterprises has been paid more and more attention. In this paper, 48 listed companies in AI stock market are selected, with undistributed profit, net profit and surplus reserve as output indicators, monetary capital, accounts receivable, inventory and fixed assets as input indicators, and DEA model is used to evaluate their capital input-output efficiency. The results show that the capital input-output efficiency of 16 companies is DEA effective, and for non DEA effective sample companies, relevant improvement strategies are proposed.
Keywords: AI enterprises, capital input and output efficiency, DEA
