Abstract
The traditional development model of high consumption and low efficiency approaches the threshold of resource and environmental carrying capacity, bringing a series of severe social and ecological environmental problems, and it is urgent to realize green development transformation. Based on a multidimensional perspective, this paper constructed a comprehensive evaluation system for urban green development along the Yellow River Basin (YRB). Entropy method, exploratory spatial data analysis (ESDA) model, and trend analysis were used to measure and characterize the spatiotemporal evolution of urban green development index (UGDI) along the YRB in 2008, 2013, and 2018, and geographically weighted regression (GWR) model was used to explore the influencing factors of urban green development. The results are as follows: (1) the UGDI along the YRB showed a slow upward trend, but the absolute value was relatively low, mainly concentrated in 0.2699–0.3799. (2) The UGDI had obvious regional differences, and cities such as Baotou and Zibo showed a “high‐high” agglomeration, while most cities in the midstream showed a “low‐low” agglomeration, and in terms of space, they were “high in the east and west, low in the middle” and “high in the north and low in the south.” (3) Influencing factors had different degrees of impact on the UGDI. Economic, industrial, urbanization, and green infrastructure factors played a positive role in promoting the urban green development, while the relationship between governance, technological factors, and green development varies from city to city.
Highlights
Academic Editor: Victor Shi e traditional development model of high consumption and low efficiency approaches the threshold of resource and environmental carrying capacity, bringing a series of severe social and ecological environmental problems, and it is urgent to realize green development transformation
Industrial, urbanization, and green infrastructure factors played a positive role in promoting the urban green development, while the relationship between governance, technological factors, and green development varies from city to city
Erefore, based on the research logic of “urban green development index (UGDI) measurement-spatial and temporal pattern analysis-influencing factors analysis,” this paper uses entropy method to calculate UGDI and discusses the agglomeration characteristics of green development according to spatial pattern and spatial autocorrelation analysis
Summary
Academic Editor: Victor Shi e traditional development model of high consumption and low efficiency approaches the threshold of resource and environmental carrying capacity, bringing a series of severe social and ecological environmental problems, and it is urgent to realize green development transformation. From a long-term perspective, green development is an effective way to cope with climate change and energy resource crises [8, 9]. Discrete Dynamics in Nature and Society development models It can maintain a balance between economic growth, wealth accumulation, social development, and environmental protection and will help create a new situation of social material and ecological civilization and realize the organic coordination of “production-livingecology.”. A series of factors such as long-standing rigid constraints of resources and environment, irrational industrial structure, and unbalanced spatial development have put a lot of pressure on ecological security in the basin, and the coordination among human being, nature, and society is facing huge challenges.
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