Hu Meijuan, Zheng Yujia, Chen Gong, Li Zaijun
School of Tourism and Cuisine, Yangzhou University, Yangzhou, 225127, China.
Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou, 225009, China.
J Environ Manage. 2025 Aug;390:126199. doi: 10.1016/j.jenvman.2025.126199. Epub 2025 Jun 26.
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.
绿色低碳发展对于应对全球变暖和资源危机至关重要,数字经济与绿色金融融合(IDEGF)具有变革潜力。本研究首先运用面板灰色关联和双变量空间关联模型,考察了长江三角洲(YRD)地区41个城市的IDEGF与绿色低碳转型(GLCT)的时空协同演化。然后应用空间联立方程模型探究IDEGF与GLCT之间的交互反馈效应,并使用地理加权随机森林(GWRF)模型分析IDEGF对GLCT的异质性影响。主要研究结果包括:(1)IDEGF稳步提升,差距缩小,从单极分化向多极分化转变。发达城市的IDEGF水平较高,而欠发达地区普遍较低。(2)IDEGF与GLCT之间出现了时间上的正V形相关性。三角洲地区的大多数城市呈现正相关,核心发达城市的相关强度较强,周边欠发达城市的相关强度较弱。(3)观察到较强的时空凝聚力和流动惯性,发达城市主要呈现高高集聚,而欠发达城市倾向于形成低低集聚模式。(4)IDEGF对GLCT表现出显著的正向直接和空间溢出效应,其影响超过了数字经济或绿色金融的单独影响。此外,GLCT对IDEGF表现出显著的正向直接和溢出反馈效应。(5)IDEGF通过增强城市创新活力、产业绿色要素生产率和企业ESG绩效间接促进了GLCT,在相对发达城市的促进作用较强,在欠发达地区的影响较弱。这些发现凸显了制定区域战略、跨区域合作和政策创新的必要性,以使长三角地区成为可持续低碳发展的领先典范。