Evaluation of coupling coordination development between digital economy and green finance: Evidence from 30 provinces in China.

Zebin Liu, Xiaoheng Zhang, Jingjing Wang, Lei Shen, Enlin Tang
Author Information
  1. Zebin Liu: School of Finance and Mathematics, Huainan Normal University, Huainan, Anhui Province, China. ORCID
  2. Xiaoheng Zhang: School of Economics and Management, Anhui University of Science & Technology, Huainan, Anhui Province, China.
  3. Jingjing Wang: School of Finance and Mathematics, Huainan Normal University, Huainan, Anhui Province, China.
  4. Lei Shen: School of Finance and Mathematics, Huainan Normal University, Huainan, Anhui Province, China.
  5. Enlin Tang: School of Finance and Mathematics, Huainan Normal University, Huainan, Anhui Province, China.

Abstract

The convergence of China's digital economy and green finance holds great significance for fostering a sustainable and high-quality developmental path. However, existing studies have not explored the coupling coordination development between these two crucial subsystems. To bridge this gap, this paper employs a modified coupling coordination degree (CCD) model to assess and affirm the coupling coordination degree between the digital economy and green finance across 30 provinces in China from 2015-2021. Based on degree results, provinces are classified into three clusters by using K-means and hierarchical clustering algorithm. Our findings unveil that the current level of coupling coordination development in China is at a primary coordination stage. Although regional disparities significantly exist, the overall level of coordination remains steadily increasing, with the eastern region outperforming the western region. Additionally, we determine that the COVID-19 pandemic's disruption on the coupling coordination development of these systems has been limited. This research sheds light on the evolution of coupling systems and offers practical recommendations for strengthening the coordinated development of the digital economy and green finance.

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MeSH Term

Humans
COVID-19
Pandemics
China
Algorithms
Cluster Analysis
Economic Development

Word Cloud

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