An Empirical Study on Relationships of Industrial Agglomeration, Maketization Degree, and Industrial Innovation Performance——Evidences from Chinese High-Tech Industry
LIU Xie, MENG Yong
School of Management,Shanghai University of Engineering Science, Shanghai 201620, China
Abstract：
This paper studies how industrial agglomeration affect industrial innovation performance under different levels of marketization in high technology industry. Firstly, by building a research model of industrial agglomeration, marketization degree, and industrial innovation performance, this paper analyzes their mechanism. Secondly, by applying a random effect model, it empirically examines the balanced panel data in high technology industry from 31 provinces in China between 2009-2016. It is found that: (1) industrial agglomeration has an invert U-shape influence on industrial innovation performance; (2) market index level has a positive effect on the invert U-shape relationship between industrial agglomeration and industrial innovation performance. The agglomeration enhances the network connections, forms scale effect in the area, and promotes the innovation performance in high-tech industry. When agglomeration reaches to a certain degree, the density of network is too high, it will lead to over-crowed and excessive competition effect, cause a higher cost of factors, management and so on, and reduce the industrial innovative performance. Marketization degree can not only promote the network activeness of agglomeration, but also intensify the instability of relations under high density of network. The research expands the theoretical and empirical research on industrial agglomeration and industrial innovation. The practical advice is also provided.
LIU Xie, MENG Yong.An Empirical Study on Relationships of Industrial Agglomeration, Maketization Degree, and Industrial Innovation Performance——Evidences from Chinese High-Tech Industry[J] Economic Survey, 2020,V37(1): 105-113
2020 
