Research on the coordination characteristics and interaction between the innovation-driven development and green development of the Yangtze River Economic Belt in China

被引:13
|
作者
Wang, Wei [1 ,2 ]
Zhou, Lei [1 ,2 ]
Chen, Wei [1 ,2 ]
Wu, Chao [1 ,2 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing 210023, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Smart Hlth Big Data Anal & Locat Serv Engn Lab Ji, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Innovation-driven development; Green development; Coupling and coordination; Panel model; ENVIRONMENTAL-REGULATION; EMPIRICAL-EVIDENCE; DEVELOPMENT LEVEL; GROWTH; CITIES; ICT; INVESTMENT; DYNAMICS;
D O I
10.1007/s11356-021-17470-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Both innovation-driven development and green development are important ways to achieve regional sustainable development. This study considers the innovation-driven development and green development evaluation systems of 130 cities in the Yangtze River Economic Belt. The entropy TOPSIS method is used to measure the innovation-driven development index and the green development index of 130 cities in the Yangtze River Economic Belt. Then, a coupling coordination evaluation model and a spatiotemporal heterogeneity analysis model are constructed to discuss the coupling coordination index of regional innovation-driven development and green development in the Yangtze River Economic Belt and to determine its temporal and spatial distribution characteristics. Finally, we choose a spatial panel regression model to explore the relationship between the innovation-driven development index and the green development index of the Yangtze River Economic Belt. The research results show that there is a significant difference between the innovation-driven development index and the green development index of the 130 cities in the Yangtze River Economic Belt in terms of the temporal and spatial distribution. The level of innovation-driven development lags behind the level of green development on the whole, and the two fail to form a good spatial matching degree. The coordination index of the two has an imbalanced distribution feature, and there is a significant direct or indirect relationship between the two structural indicators in a mathematical sense. This study improves the academic community's understanding of the interaction between innovation-driven development and green development, provides scientifically based support for green development, and offers guidance for the implementation of innovation capabilities.
引用
收藏
页码:22952 / 22969
页数:18
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