Coordinated development of green finance and green technology innovation in China: from the perspective of network characteristics and prediction

被引:6
|
作者
Chen, Shihui [1 ,2 ,3 ]
Ding, Rui [1 ,2 ,3 ]
Shen, Siwei [1 ,2 ,3 ]
Zhang, Bin [1 ,2 ,3 ]
Wang, Kexin [1 ,2 ,3 ]
Yin, Jian [4 ]
机构
[1] Guizhou Univ Finance & Econ, Coll Big Data Applicat & Econ, Guiyang Coll Big Data Finance, Guiyang 550025, Peoples R China
[2] Guizhou Collaborat Innovat Ctr Green Finance & Eco, Guiyang 550025, Peoples R China
[3] Guizhou Univ Finance & Econ, Key Lab Green Fintech, Guiyang 550025, Peoples R China
[4] Guizhou Univ Finance & Econ, Ctr China Western Modernizat, Guiyang 550025, Guizhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Green finance; Green technology innovation; Complex network; Link prediction; SUSTAINABLE DEVELOPMENT; LINK PREDICTION; WORLD;
D O I
10.1007/s11356-023-27028-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Under the path of sustainable development, the key to achieving green and low-carbon transformation lies in green technology innovation (GTI), and how to effectively coordinate the relationship between green finance (GF) and GTI is an issue worth studying. This paper constructed an evaluation system of GF and GTI and combined them with the coupled coordination degree model to explore their coordination of Chinese provinces from 2012 to 2019. Then, the core network evolution and spatial structure characteristics of GTI and GF were studied using the modified gravity model. Finally, based on the link prediction, the general future network prediction is made to provide guidance and direction for the future GTI and GF development and construction. The results found that the coordination level between GF and GTI has been continuously improved from 0.356 to 0.436. The core network structure is keeping changing with their connection becoming more complex, and there is still room for optimization. Network centrality characteristics show that the spatial spillover effects are stronger in the more economically developed regions. The overall network possibility prediction shows the potential network connections in different urban agglomerations. This paper provides a certain reference role for China and developing countries to predict the GF and GTI cooperation network development in the future.
引用
收藏
页码:10168 / 10183
页数:16
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