RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2023, Vol. 32 >> Issue (8): 1561-1572.doi: 10.11870/cjlyzyyhj202308001

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Spatio-temporal Evolution Characteristics and Driving Factors of  Coupling and Coordination of Urbanization and Greenization in Yangtze River Economic Belt

XU Wei-xiang1,2, WANG Min-ji1, ZHENG Jin-hui1, LIU Cheng-jun   

  1. (1. School of Economics, Zhejiang University of Technology, Hangzhou 310023, China;2. Institute for Industrial System Modernization, Zhejiang University of Technology, Hangzhou 310023, China;3. Zhijiang College, Zhejiang University of Technology, Shaoxing 312030, China)
  • Online:2023-08-20 Published:2023-08-23

Abstract:  Based on the connotation of urbanization and greenization, the evaluation index system of urbanization and greenization is constructed. The spatio-temporal evolution characteristics of the coupling coordination degree of urbanization and greenization in 108 cities in the Yangtze River Economic Belt from 2005 to 2019 are depicted using the coupling coordination model and the exploratory spatial data analysis method. The spatial dubin model is used to explore the driving factors. The results show that: (1) The coordination level of the coupling between urbanization and greenization in the Yangtze River Economic Belt has increased year by year, but greenization lags behind urbanization. The coordinated development level is rather low, showing the spatial distribution characteristics of “high in the east and low in the west”. (2)The coupling and coordination of urbanization and greenization in the Yangtze River Economic Belt shows a spatial agglomeration trend. The cities in the lower reaches of the Yangtze River are hot spots and have the characteristics of spatial lock-in, while the cold point areas undergo spatial migration, and finally form a spatial pattern of “large hot spots and small cold spots”; (3) The driving factors of the coupling and coordination of urbanization and greenization in the Yangtze River Economic Belt are, ranging from more to less significance, the level of economic development, industrial structure, education investment, fixed asset investment, government management, and the degree of informatization. The driving force of each factor presents the characteristics of a spatial heterogeneity.

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