Factors influencing innovation performance of China's high-end manufacturing clusters: Dual-perspective from the digital economy and the innovation networks

被引:7
作者
Zhang, Liping [1 ]
Xiong, Kaiqi [1 ]
Gao, Xinzhi [1 ]
Yang, Yi [1 ]
机构
[1] East China Jiaotong Univ, Sch Econ & Management, Nanchang, Peoples R China
来源
FRONTIERS IN PSYCHOLOGY | 2022年 / 13卷
基金
中国国家自然科学基金;
关键词
China's high-end manufacturing cluster; innovation network; digital economy; innovation performance; structural equation modeling; CAPABILITY; IMPACT; FIRM;
D O I
10.3389/fpsyg.2022.1012228
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
In the era of digital economy, the impact of innovation resources on high-quality economic growth has become increasingly prominent. There are many researches on the influencing factors of innovation performance. The purpose of this study is to explore the factors that affect the innovation performance of high-end manufacturing clusters in China based on the dual perspectives of digital economy and innovation network. A total of 194 valid questionnaires were collected. And structural equation modeling has been used to test the proposed research models and hypotheses. The results indicated that, the higher the centrality of the innovation network, the more the cluster enterprises can play the centrality advantage, which has a significant positive impact on the innovation performance of the cluster. Similarly, both the strength and density of innovation networks also impacted on cluster innovation performance, but to a lesser extent. We also found that the digital empowerment derived from the digital economy can get rid of the limitations caused by spatial distance and lead to the improvement of resource utilization, which plays a positive moderating role between innovation network and innovation capacity. Implications for digital economy and innovation networks to improve the quality of innovation performance are provided.
引用
收藏
页数:18
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