From the perspective of digital industry cluster evolution,this study identifies 36 digital industry clusters from 302 Chinese cities using the methods of the locational quotient and the social network analysis.It employs the dynamic improved TOPSIS to measure the development level of digital industry clusters,and explores their regional differences,sources,and distribution dynamics through overall and dimensional analysis.The research shows that:1)The development level of China's digital industry clusters has been increasing year by year.2)The support degree and its growth rate are the highest,serving as the"ballast"for the development of digital industry clusters,while the correlation degree has the lowest growth rate,representing the most potential development point.3)Regional differences show a slight narrowing trend,mainly originating from regional disparities and super-variable density.4)The development of digital industry clusters demonstrates stability and club convergence characteristics.From the trend forecasts,China's digital industry clusters are gradually improving over time,but the higher the neighboring level,the more it affects the trend of local development level concentrating towards higher values.Therefore,it is necessary to innovate cooperation models for digital industry clusters,explore coordinated development paths that balance heterogeneity and long-term effectiveness,and improve inter-regional interaction mechanisms,thereby creating digital industry clusters with international competitiveness.
关键词
数字产业集群/识别/动态评价方法/区域差异/创新链与产业链/协调发展
Key words
digital industrial cluster/identification/dynamic evaluation method/regional differences/innovation chain and industrial chain/coordinated development
维普
万方数据