The Journal of Grey System ›› 2023, Vol. 35 ›› Issue (1): 156-172.
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Abstract: The development level of the high-tech industry affects the comprehensive competitiveness of a country and a region. It has great theoretical and practical significance to grasp the status quo and differences in technological innovation capability of regional high-tech industries in R&D and transformation and to provide a basis for relevant departments to formulate differentiated policies for developing high-tech industries. In order to comprehensively reflect the innovation capability and fully excavate and extract the differentiated information of China's regional high-tech industry. According to the characteristics and laws of panel data on the high-tech industry, from the two dimensions of technology R&D and achievement transformation, the grey incidence analysis method is exploited to a novel grey matrix type incidence clustering model based on the panel data for hightech innovation capability assessment and differences extraction. The result shows that the high-tech innovation capability is not strong on the whole, and there are obvious regional differences and imbalances in R&D and transformation, the ranking is in the order of eastern, central, and northwestern provinces and cities.
Key words: Technological Innovation Capability, Differences, R&, D, Technological Transformation
Xu Dong-Liang. An Improved Grey Incidence Clustering Approach for Technological Innovation Capability Assessment of China's Regional High-Tech Industry[J]. The Journal of Grey System, 2023, 35(1): 156-172.
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URL: https://jgrey.nuaa.edu.cn/EN/
https://jgrey.nuaa.edu.cn/EN/Y2023/V35/I1/156