With the improvement of spatial connection strength, a radial coupling network centered on Beijing Tianjin Tangshan region and the Yangtze River Delta is formed, which is of core significance to promote the coordinated development of industrial innovation ecosystem.NetLogo is a cross-platform application designed to simulate social or natural events of all kinds. At the same time, they have the characteristics of “positive U-shaped first and then inverted U-shaped” in the east-west and north-south directions the spatial connection strength of coupling coordination degree shows that the spatial connection strength of the eastern region is significantly greater than that of the western region. The regions with high values and rapid growth are distributed in the key areas of the national economic development strategy.
It is found that during the study period, the coupling relationship between the three subsystems is in a dynamic upward state. Based on the data of 30 provinces in China from 2010 to 2021, the spatial and temporal pattern distribution and spatial connection evolution of synergy among the three subsystems of industrial innovation ecosystem are studied by using coupling coordination degree model, trend surface model and gravity model. This paper takes the industrial innovation ecosystem as the research object and the realization of green development as the goal, discussing the temporal and spatial evolution of coupling coordination degree of industrial innovation ecosystem from the perspective of system view. Recently, the synergy among the elements of innovation subject, innovation resources and innovation environment, the collaborative transformation of knowledge innovation and technology and the excellent spatial operation of the collaborative transformation field will improve the transformation of innovation technology standards and positively drive innovation performance. On the other hand, relevant scholars have studied the internal synergy of innovation ecosystem, and the relevant research focuses on the impact of the synergy between innovation elements on the development and innovation performance of innovation ecosystem: Innovation subject, innovation subject and innovation environment would promote the formation of network structure of innovation ecosystem through collaborative evolution, symbiosis and cooperation The allocation of talents would weaken the collaborative process between the innovation subject and the innovation environment, symbiosis and coordination with the innovation ecosystem, and improve the system structure and function. The evaluation index system of innovation ecosystem is constructed to discuss the relationship among the four subsystems of operation, R&D, support and environment in the innovation ecosystem from the dynamic perspective of innovation activities.
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Based on the data analysis of the questionnaire, this paper summarizes the difficulties of digital transformation of high-tech enterprises, mainly due to the lack of transformation ability, resulting in “cannot transfer” the lack of self-development conditions and digital transformation, resulting in “will not transfer” digital transformation lacks full guarantee, resulting in “do not dare to turn.” And based on the analytic hierarchy process, the influencing factors of the digital transformation of high-tech enterprises are analyzed, and the relative importance of each factor is obtained. This paper summarizes the three major transformation paths of the existing production service digitization, marketing model digitization, and industrial digitization.
Secondly, it conducts an empirical analysis on the digital transformation of high-tech enterprises.
Theories such as Marxism and new institutional economics related to the digital transformation of enterprises are sorted out.
This paper firstly conducts a theoretical analysis on the digital transformation of enterprises.
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