Abstract:The mutual empowerment and coordination between data elements development and rural revitalization are of great practical significance for accelerating agricultural and rural modernization. Based on an analysis of the interaction and coupling mechanisms between data elements development and rural revitalization, this paper employs the entropy weight method, panel vector autoregression (PVAR) model, coupling coordination degree model, and the Optimal Parameters-based Geographic Detector (OPGD) model to measure the development levels of these two subsystems. We explore their interactive response relationship and coupling coordination across 30 provinces (Excluding Hong Kong, Macao, Taiwan and Xizang) in China from 2013 to 2022, and analyze the impact of data elements development on the spatial differentiation of rural revitalization. The results show that: 1) the comprehensive levels of data elements development and rural revitalization have been steadily increasing, following a gradient pattern of "East > Central > West". 2) There is a bidirectional causal relationship between data elements development and rural revitalization, with a significant positive effect over the long term. 3) The coupling coordination degree between data elements development and rural revitalization has shown steady improvement, exhibiting spatial evolution characterized by "high coordination leaps in the eastern region and imbalanced separation in the central and western regions." The inter-regional differences among the three zones are the main source of spatial imbalance in the coupling coordination. 4) While a single data element development factor has a weak influence on the spatial differentiation of rural revitalization, its interaction with other factors demonstrates a strong amplifying effect, particularly with the rationalization of industrial structures. These findings offer valuable insights for advancing data elements development and fostering rural revitalization.