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Chen S, Ding R, Shen S, Zhang B, Wang K, Yin J. Coordinated development of green finance and green technology innovation in China: from the perspective of network characteristics and prediction. Environ Sci Pollut Res Int 2024; 31:10168-10183. [PMID: 37093384 DOI: 10.1007/s11356-023-27028-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 04/11/2023] [Indexed: 05/03/2023]
Abstract
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.
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Affiliation(s)
- Shihui Chen
- College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang, 550025, China
- Guizhou Collaborative Innovation Center of Green Finance and Ecological Environment Protection, Guiyang, 550025, China
- Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang, 550025, China
| | - Rui Ding
- College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang, 550025, China.
- Guizhou Collaborative Innovation Center of Green Finance and Ecological Environment Protection, Guiyang, 550025, China.
- Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang, 550025, China.
| | - Siwei Shen
- College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang, 550025, China
- Guizhou Collaborative Innovation Center of Green Finance and Ecological Environment Protection, Guiyang, 550025, China
- Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang, 550025, China
| | - Bin Zhang
- College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang, 550025, China
- Guizhou Collaborative Innovation Center of Green Finance and Ecological Environment Protection, Guiyang, 550025, China
- Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang, 550025, China
| | - Kexin Wang
- College of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang, 550025, China
- Guizhou Collaborative Innovation Center of Green Finance and Ecological Environment Protection, Guiyang, 550025, China
- Key Laboratory of Green Fintech, Guizhou University of Finance and Economics, Guiyang, 550025, China
| | - Jian Yin
- Center for China Western Modernization, Guizhou University of Finance and Economics, Guiyang, 550025, Guizhou, China
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