Abstract: The 30 provinces （municipalities and autonomous regions） in China were selected as the research subject, and data from 2011 to 2020 were used as observational samples. The entropy weight method and coupling coordination model were used to calculate the level of coupling coordination between rural revitalization and rural infrastructure during the research period. On this basis, combined with Kernel density estimation and Dagum Gini coefficient, the regional differences and dynamic evolution trends of coupling coordination between rural revitalization and rural infrastructure in the four major economic regions were compared and analyzed. The results showed that, overall, the coupling coordination level between rural revitalization and rural infrastructure in various provinces and cities in China showed an upward trend over the years. The regions with the highest to lowest levels of coupling coordination development were the central, eastern, northeastern, and western regions. In terms of dynamic distribution, the eastern and western regions of China exhibited a two-tier differentiation in coordination development levels, with significant differences between the two regions. Both regions had provinces with higher levels of coupling coordination. The regional differences in the overall level of coupling coordination between rural revitalization and rural infrastructure in China were gradually narrowing. Regarding the sources of differences, regional differences were the main factors contributing to the differences in coupling coordination development among the four major economic regions, but their contribution rates showed a downward trend. The gap between the northeastern and western regions was gradually narrowing.

Key words: rural revitalization, rural infrastructure, coupling coordination, Kernel density estimation, Dagum Gini coefficient, regional differences