Taking the Central Soviet Area of Jiangxi, Fujian, and Guangdong in 2020 as an example, firstly, selecting reasonable cross-sectional data and conducting spatial autocorrelation analysis on county-level objects to empirically demonstrate spatial spillover effects; Secondly, using the coupling coordination degree to calculate the structural effects, multiplier effects, growth effects, and traction effects of digital e-commerce logistics as a new quality productivity for collaborative urban-rural integration development, and conducting correlation analysis with relevant indicators; Finally, compare the overall differences in digital rural index and multi-dimensional digital e-commerce logistics effects among different classifications of county-level objects (by province, city, group, administrative differences, and inter provincial adjacency), in order to clarify the direction of regional coordinated development. In order to promote relevant research work and governance attention.