Measuring the Contribution Degree of System and Technological Innovation to the Economic Growth

被引：0

作者：

Wang, Xiao ^{[1
]}

Wang, Ai ^{[1
]}

Gao, Xuedong ^{[1
]}

机构：

[1] Univ Sci & Technol Beijing, Dongling Sch Econ & Management, Beijing, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016) | 2016年

关键词：

economic growth; technological innovation; system innovation; grey correlation analysis model;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

As the important factors affecting the economic growth, system innovation and technological innovation have been widely attended. But there is little quantitative research on them. According to the theory of grey correlation analysis, this paper calculates the contribution degree to the economic growth through 10 indexes which can measure the system and technological innovation from 2005 to 2014. The results show that the contribution level of technological innovation to the economic growth is relatively stable, while reasonable system innovation will bring a surge in economic growth.

引用

页数：5

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