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Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Stanley Lima and Álvaro Rocha
Article type: Research Article
Authors: Geng, Deqianga | Wang, Longb; * | Yin, Zongyib
Affiliations: [a] School of Economics, Wuhan University of Technology, Wuhan, China | [b] School of Management, China Research Center for Emergency Management, Wuhan University of Technology, Wuhan, China
Correspondence: [*] Corresponding author. Long Wang, School of Management, China Research Center for Emergency Management, Wuhan University of Technology, Wuhan, China. E-mail: zmwl@whut.edu.cn.
Abstract: Using the panel data of China’s top five high-tech industries from 1995–2015, and adopting two-stage model, we intelligent analysis the influence that the innovation outlay of non-R&D has on the innovation efficiency of the high-tech industry. It has been concluded that the performance of our country’s high-tech industries vary from one to another, among which the highest one is computer and office equipment manufacturing and the lowest one is the manufacturing of the aerospace vehicles and its equipment. The average number of the former is 0.909, while the average number of the latter is 0.125. The mean number of the former is three times higher than the latter. In the innovation outlay, the expense on the technical reform inhibited the performance of the high-tech industry, the expense on the technology introduction and absorption has a positive effect on the high-tech industry, and there is no obvious connection between the domestic purchase expense and the performance of the high-tech industry.
Keywords: Performance of high-tech industry, the random frontier analysis, intelligent analysis, the outlay of the non-R&D
DOI: 10.3233/JIFS-169622
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2703-2709, 2018
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