Temporal and Spatial Evolution of Coupling Coordination Degree of Industrial Innovation Ecosystem—From the Perspective of Green Transformation

Xiaohua Yu, Yuan Qi, Longzhen Yu and Yuanyuan He
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Xiaohua Yu: College of Management and Economics, Qingdao University of Science & Technology, Qingdao 266061, China
Yuan Qi: School of Economics, Shandong University of Technology, Zibo 255000, China
Longzhen Yu: College of Management and Economics, Qingdao University of Science & Technology, Qingdao 266061, China
Yuanyuan He: College of Management and Economics, Qingdao University of Science & Technology, Qingdao 266061, China

Sustainability, 2022, vol. 14, issue 7, 1-18

Abstract: 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. 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. It is found that during the study period, the coupling relationship between the three subsystems is in a dynamic upward state. The regions with high values and rapid growth are distributed in the key areas of the national economic development strategy. 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. 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.

Keywords: industrial innovation ecosystem; green transformation; coupled co scheduling; temporal and spatial distribution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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