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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v9i6.15477</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Coupling Coordination Relationship and Influencing Factors between Green Finance and the Digital Economy</title><url>https://artdesignp.com/journal/PBES/9/6/10.26689/pbes.v9i6.15477</url><author>ZhangWuting</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2026-07-15</published-time></date></history><abstract>Against the backdrop of the “Dual Carbon” goals and high-quality development, Green Finance and the Digital Economy are of great significance to China’s high-quality development. Taking Sichuan Province as the research object, this paper employs panel data on green finance and the digital economy from 2011 to 2024. The Entropy Weight Method is applied to construct the indicator systems of the two subsystems and calculate their development indices. Furthermore, the Coupling Coordination Degree Model is adopted to analyze their interactive relationship. The findings indicate that: (1) both subsystem indices exhibited a steady upward trend, with the digital economy index increasing from 0.025 to 0.693 and the green finance index rising from 0.219 to 0.654; (2) the coupling coordination degree advanced from severe imbalance (D = 0.10 in 2011) to high-quality coordination (D &amp;gt; 0.90 since 2020), undergoing a three-stage evolution of “imbalance–transition–coordination.” Based on these findings, this study proposes policy recommendations, including strengthening the synergy mechanism between digitalization and greening and optimizing the structure of green finance, with the aim of contributing to the green, low-carbon, and high-quality development of Sichuan Province.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>He Z, Liu X, Deng Z, 2025, Spatial-Temporal Differences and Influencing Factors Analysis of Coupling Coordination Development among Digital Economy, Green Finance, and Total Factor Carbon Productivity. 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