【摘要】 本文基于2012—2019年长三角地区41座城市的面板数据，在测度城市群经济分布特征及演变轨迹的基础上，采用时空加权回归模型从城市金融与经济存在时空非平衡关系的视角，解释城市群经济时空演变轨迹形成的原因，并以传统金融和数字金融两种维度，实证检验两类金融业态驱动城市经济发展的时空异质性。研究发现：（1）长三角空间经济呈现相对稳定但极化程度逐步减弱的“核心—外围”结构，伴随城际经济差距的拉大，经济分布主要向南北两端扩散；（2）传统金融对城市经济发展的影响存在时空异质性，促进效应较大的区域逐渐由苏南等次核心区向周边城市迁移，显示其对城市群经济向北、向西扩散具有重要作用；（3）数字金融对城市经济的影响受空间异质性主导，促进效应较大的城市主要是上海及上海以南的浙江城市，表明数字金融是拉动城市群经济向南扩散的主要力量。更多还原

【Abstract】 Based on the panel data of 41 cities in the Yangtze River Delta from 2012 to 2019, on the basis of measuring the economic distribution characteristics and evolution trajectories of urban agglomer-ations, this paper adopts Geographically and Temporally Weighted Regression model to explain the reasons for the formation of the temporal and spatial evolution trajectory of the urban agglomeration economy from the perspective of the unbalanced relationship between urban finance and economy, and empirically test the temporal and spatial heterogeneity of the two types of financial formats driving urban economic development from the two dimensions of traditional finance and digital finance. The study found that:(1)the spatial economy of the Yangtze River Delta presents a relatively stable “core-periphery” structure with a gradually weakening degree of polarization. With the widening of the inter-city economic gap, the economic distribution mainly spreads to the north and south;(2)the effect of traditional financial on urban economic development is temporal and spatial heterogeneity, plays an important role in the northward and westward diffusion of the urban agglomeration economy,areas with greater promotion effect gradually migrate from subcore areas such as southern Jiangsu to surrounding cities;(3)the effect of digital finance on the urban economy is dominated by spatial heterogeneity; it is the main forces driving the economic spread of the urban agglomeration to the south; the cities with greater promotion effect are mainly Shanghai and Zhejiang cities.更多还原