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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Environmental Economics and Management

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1559458

This article is part of the Research Topic Environmental degradation, health, and socioeconomic impacts View all 3 articles

Ternary Coordination and Spatial Convergence of Digital Economy, Green Finance, and Green Urbanization in the Yellow River Basin of China

Provisionally accepted
RONG MA RONG MA *Yajing Li Yajing Li
  • Shaanxi Normal University, Xi'an, China

The final, formatted version of the article will be published soon.

    This study examines the interplay and spatial convergence of the digital economy, green finance, and green urbanization in the Yellow River Basin from 2001 to 2022, with a focus on their roles in promoting sustainable development. Utilizing a "pattern-process-mechanism" framework, the study employs the Global Moran Index, the Dagum Gini Coefficient, and the β-convergence model to analyze spatiotemporal dynamics and the coupling coordination across 77 cities in the region. The findings reveal a steady improvement in coordination, primarily driven by advancements in the digital economy, although regional disparities remain. Downstream cities benefit from industrial and resource advantages, while upstream areas continue to face significant challenges. The β-convergence analysis further suggests a narrowing of the regional gap, with spatial factors playing a key role in enhancing coordination. Based on these results, policy recommendations include strengthening regional cooperation, optimizing industrial structures, and increasing government support to foster balanced green development. These insights provide both theoretical and practical guidance for the formulation of sustainable economic strategies in ecologically sensitive regions.

    Keywords: digital economy, green finance, Green urbanization, Coupling and coordination development, Yellow River

    Received: 12 Jan 2025; Accepted: 11 Mar 2025.

    Copyright: © 2025 MA and Li. 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: RONG MA, Shaanxi Normal University, Xi'an, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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