Research on the Spatiotemporal Evolution and Influencing Factors of Industrial Ecologicalization in the Yangtze River Economic Belt
The research has constructed an industrial ecological evaluation index system that includes two dimensions:industrial system and ecosystem.Based on the panel data of prefecture level cities along the Yangtze River Economic Belt from 2013 to 2022,the entropy weight method is used to measure the level and spatiotemporal evolution trend of industrial ecologicalization in the Yangtze River Economic Belt.Based on the coupling coordination degree model,the research analyzes the impact of the coupling coordination relationship between industrial system and ecosystem on industrial ecologicalization from an internal perspective.It also uses a panel quantile regression model analyzing the quantile differences in the impact of external factors on the industrial ecologicalization in sample areas and different types of cities in the Yangtze River Economic Belt.The overall level of industrial ecologicalization in the Yangtze River Economic Belt is constantly improving,but there are significant differences in local conditions,and high-level regions have a trend of continuously extending downstream development.The coupling and coordination between industrial system and ecosystem are internal factors driving the ecological development of industries in the Yangtze River Economic Belt,and their dominance in coupling and coordination varies in different regions.The impact of external factors on the industrial ecologicalization in different regions and types of cities varies at different percentiles.The high-quality development of the economy and society in the Yangtze River Economic Belt requires deepening inter-regional ecological cooperation of industries,strengthening policy guidance,implementing ecological measures according to local conditions,and fully leveraging the service roles of talents,finance,and others.
Yangtze River Economic Beltindustrial ecologicalizationspatiotemporal evolutionpanel quantile regression model
万方数据
维普
