Spatio-temporal synergies of digital economy and green finance: Catalyzing green low-carbon transition in the Yangtze River Delta Region
デジタル経済とグリーンファイナンスの時空間的相乗効果：長江デルタ地域におけるグリーン低炭素移行の促進 (AI 翻訳)
Meijuan Hu, Yujia Zheng, Gong Chen, Zaijun Li
🤖 gxceed AI 要約
日本語
本研究は、中国長江デルタ地域の41都市を対象に、デジタル経済とグリーンファイナンスの融合（IDEGF）とグリーン低炭素移行（GLCT）の時空間的共進化を分析。パネル灰色相関、二変量空間的自己相関、空間同時方程式モデル、地理的加重ランダムフォレストを用いて、IDEGFがGLCTに正の直接効果と空間的波及効果を持つことを示した。また、IDEGFは都市のイノベーション活力、産業のグリーン要素生産性、企業ESGパフォーマンスを向上させることで間接的にGLCTに貢献する。
English
This study examines the spatio-temporal co-evolution of the integration of digital economy and green finance (IDEGF) and green low-carbon transition (GLCT) across 41 cities in the Yangtze River Delta, China. Using panel grey correlation, bivariate spatial association, spatial simultaneous equation, and geographically weighted random forest models, it finds that IDEGF has significant positive direct and spatial spillover effects on GLCT, and indirectly contributes by enhancing urban innovation, green factor productivity, and corporate ESG performance.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本においても、デジタル技術とグリーンファイナンスの連携はGX推進の鍵となる。本論文の分析手法や地域間協力の示唆は、日本国内の地域別GX戦略策定や、SSBJ開示における地域特性の考慮に応用可能である。
In the global GX context
The study provides empirical evidence on how digital economy and green finance synergize to drive low-carbon transition, relevant to global discussions on green finance and digitalization. Its spatial analysis framework can inform cross-regional climate policy design, though findings are specific to China's Yangtze River Delta.
👥 読者別の含意
🔬研究者:Spatio-temporal methods and empirical findings on digital-green finance synergy for low-carbon transition.
🏢実務担当者:Insights for designing regional strategies that integrate digital and green finance to support decarbonization.
🏛政策担当者:Evidence for promoting cross-regional collaboration and policy innovation in green low-carbon development.
📄 Abstract（原文）
Green low-carbon development is essential to address global warming and resource crises, with the integration of digital economy and green finance (IDEGF) offering transformative potential. This study first examines the spatio-temporal co-evolution of IDEGF and green low-carbon transition (GLCT) across 41 cities in the Yangtze River Delta (YRD) region using the panel grey correlation and bivariate spatial association models. It then applies the spatial simultaneous equation model to explore the interactive feedback effects between IDEGF and GLCT, and analyzes the heterogeneous impact of IDEGF on GLCT using the geographic weighted random forest (GWRF) model. Key findings include: (1) IDEGF steadily improved, with reduced disparities and a shift from unipolar to multipolar differentiation. Higher IDEGF levels were observed in developed cities, while lower levels were prevalent in less developed regions. (2) Temporal positive V-shaped correlations emerged between IDEGF and GLCT. Most cities in the delta region exhibited positive correlations, with stronger correlation intensity in the core developed cities and weaker correlation intensity in the peripheral, less developed cities. (3) Strong spatio-temporal cohesion and flow inertia were observed, with developed cities predominantly exhibiting High-High clusters, whereas less developed cities tended to form Low-Low clustering modes. (4) IDEGF exhibited significant positive direct and spatial spillover effects on GLCT, with its influence surpassing the isolated impacts of the digital economy or green fiance. Moreover, GLCT demonstrated significant positive direct and spillover feedback effects on IDEGF. (5) IDEGF indirectly contributed to GLCT by enhancing urban innovation vitality, industrial green factor productivity, and corporate ESG performance, with a stronger promotive effect in relatively developed cities and a weaker impact in less developed regions. These findings highlight the need for regional strategies, cross-regional collaboration, and policy innovation to position the YRD as a leading model for sustainable, low-carbon development.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1016/j.jenvman.2025.126199first seen 2026-05-14 21:36:38
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