Evolution and Spatial Correlation Network Analysis of the Coupling Coordination Degree of Urban Intelligent Industry and Green Industry in the Yellow River Basin
Xiangdong Cao and
Fuyi Ci ()
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Xiangdong Cao: College of Economics, Shandong Normal University, Jinan 250358, China
Fuyi Ci: College of Economics, Shandong Normal University, Jinan 250358, China
Sustainability, 2025, vol. 17, issue 12, 1-19
Abstract:
This paper uses a coupling model and social network analysis to analyze the evolution and spatial correlation network characteristics of the coupling coordination level between urban intelligent industry and green industry in the Yellow River Basin from 2011 to 2021. At the same time, QAP analysis is used to explore the influence mechanism of the spatial correlation network. The results indicate the following: (1) The coupling coordination level between urban intelligent industry and green industry in the Yellow River Basin continues to improve, but no city has reached the level of extreme coordination; (2) The spatial correlation network of coupling coordination between urban intelligent industry and green industry in the Yellow River Basin has been basically formed, but the spatial synergy needs to be improved; (3) The central cities play an important role as “intermediary” in the spatial correlation network, the role of “bridge” in eastern coastal cities and western fringe cities is not obvious, and the radiation and driving effects of provincial capital cities and developed cities are not obvious; and (4) The differences in geographical distance, scientific and technological innovation, and financial services inhibit the communication and cooperation among cities, and the differences in informatization level can promote the optimization of spatial correlation network.
Keywords: urban intelligent industry; urban green industry; coupling coordination; spatial association network; Yellow River Basin (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:12:p:5237-:d:1673205
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