Evaluation on Regional Scientific and Technological Innovation Capacity Based on Principal Component Analysis

被引：0
|
作者：
Li, Xing [1 ,2 ]
Chen, James K. C. [2 ]
机构：
[1] LongDong Univ, 45 Lanzhou Rd, Qingyang City 745000, Gansu, Peoples R China
[2] Asia Univ, Taichung 41354, Taiwan
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015) | 2015年 / 117卷
关键词：
Technological Innovation; Scientific and technological innovation; Innovative Capability Evaluation; PERFORMANCE; BUSINESS; SERVICES; ADOPTION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Through establishing the indicator system that reflects the regional scientific and technological innovation capacity, this paper applies the Principal Component Analysis and Cluster Analysis Method to make empirical analysis and comparative analysis on regional scientific and technological innovation capacity of 30 provinces, cities and districts within China Mainland, and concludes the comprehensive ranking of all regions' scientific and technological innovation capacity. Finally, by taking Gansu as an example, it points out the deficiencies in the aspect of scientific and technological innovation, and also puts forward corresponding countermeasures and suggestions.
引用
收藏
页码：1582 / 1587
页数：6
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