ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1606017
Spatio temporal evolution analysis of coupling coordination of green finance, digital economy and carbon emission intensity in the Yangtze River Economic Belt
Provisionally accepted- 1安徽财经大学, BengBu, China
- 2Anhui Technical College of Industry and Economy, Hefei, China
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To achieve sustainable economic advancement in the current climate of escalating environmental difficulties requires the integrated advancement of green finance(GF), the digital economy(DIEC), and carbon emission intensity(CEI). Using the entropy method, the coupling coordination degree model(CCDM), and the spatial analysis method, this study thoroughly examines the spatiotemporal pattern of the coupling and coordination of GF, DIEC, and CEI in the Yangtze River Economic Belt using panel data from 11 provinces in the region from 2013 to 2022. The findings demonstrate that:(1) The Yangtze River Economic Belt's general extent of GF and DIEC advancement is increasing, and the DIEC's level exhibits a pattern of a declining gradient from the downstream to the upstream areas.(2) The Yangtze River Economic Belt's CEI is on the decline, with the upstream region having a higher CEI than the middle and downstream regions.(3)Although there is regional diversity, the Yangtze River Economic Belt's three systems exhibit a growing trend in connection and coordination degree. (4) The Yangtze River Economic Zone shows a declining trend in the spatial difference in the coupling coordination degree(CCD) of the three systems, with the upstream showing the smallest discrepancy and the downstream showing the biggest. The primary cause of the biggest disparity between upstream and downstream is regional variation. In light of this, this report makes specific recommendations to offer direction for the Yangtze River Economic Belt's sustainable growth.
Keywords: green finance, digital economy, carbon emissions, Coupling coordination, Spatio temporal patter
Received: 04 Apr 2025; Accepted: 20 May 2025.
Copyright: © 2025 Sui and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xing-Fu Zhang, Anhui Technical College of Industry and Economy, Hefei, China
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