Zhang Liping, Xiong Kaiqi, Gao Xinzhi, Yang Yi
School of Economic and Management, East China Jiaotong University, Nanchang, China.
Front Psychol. 2022 Sep 27;13:1012228. doi: 10.3389/fpsyg.2022.1012228. eCollection 2022.
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.
在数字经济时代,创新资源对高质量经济增长的影响日益突出。关于创新绩效的影响因素已有诸多研究。本研究旨在基于数字经济和创新网络的双重视角,探索影响中国高端制造业集群创新绩效的因素。共收集到194份有效问卷。并运用结构方程模型对所提出的研究模型和假设进行了检验。结果表明,创新网络的中心性越高,集群企业越能发挥中心性优势,这对集群的创新绩效有显著的正向影响。同样,创新网络的强度和密度也对集群创新绩效有影响,但程度较小。我们还发现,数字经济带来的数字赋能能够消除空间距离造成的限制,进而提高资源利用效率,在创新网络与创新能力之间发挥积极的调节作用。本研究为数字经济和创新网络提升创新绩效质量提供了启示。