Measurement of Digital-Real Integration Level in the Yangtze River Delta and Analysis of Its Spatiotemporal Evolution Pattern

论文以长三角33个地级市为研究对象，通过熵值法、协调度和空间自相关分析，测度了2013~2021年数字经济与实体经济的融合水平，分析了其时空演变格局。研究发现：2013~2021年期间，融合水平逐步攀升，但整体水平仍相对较低；融合水平在空间上呈现显著的正相关性，并以高高聚集为主要特征，区域间的差异性日益减小，体现为以上海、杭州、苏州、南京、宁波、合肥为中心的“中心城市化”态势，并呈现“以点带面”的空间分异格局；勉强融合和初级融合是主要的融合类型，融合型城市逐渐增多并从中部向东、南、北部扩散，融合水平总体呈现中部高、南北低，东高西低的空间等级演变规律。This study examines 33 prefecture-level cities in the Yangtze River Delta as research subjects. Utilizing the entropy method, coupling coordination degree model, and spatial autocorrelation analysis, it measures the integration level between the digital economy and real economy from 2013 to 2021, while analyzing its spatiotemporal evolution patterns. The findings reveal that during this period, the integration level exhibited a gradual increase, yet the overall level remained relatively low. Spatially, the integration level demonstrated significant positive correlation, characterized primarily by high-high clustering, with regional disparities diminishing over time. The region exhibited a “central urbanization” trend centered around Shanghai, Hangzhou, Suzhou, Nanjing, Ningbo and Hefei, forming a “point-to-area” spatial differentiation pattern. Marginal and primary integration were the dominant types, while integrated cities gradually increased and expanded from the central region to the east, south, and north. Overall, the integration level followed a spatial hierarchical evolution pattern, with higher levels in the central and eastern regions and lower levels in the northern, southern, and western regions.