Abstract: To improve the green efficiency of social service of agricultural machinery is the key to breaking the bottleneck of agricultural environment, and is the fundamental way to achieve sustainable development of agriculture. Based on 30 provinces（municipalities and autonomous regions） in China from 2007 to 2021, the super efficiency SBM model was used to measure the green efficiency of agricultural machinery social service, and the Dagum Gini coefficient, Kernel estimation method, Markov chain and fixed effect model were used to analyze the spatio-temporal dynamic evolution of green efficiency of agricultural machinery social service and its influencing factors. The results show that the green efficiency of agricultural machinery socialization service in China is on the rise, which is higher in the Middle East and lower in the west. The overall difference of green efficiency of social agricultural machinery services shows a decreasing trend, and the regional difference is the main reason for the overall difference. The green efficiency of social agricultural machinery services has gradually increased, showing a centralized trend in recent years, and the absolute difference between regions has expanded. In the process of green efficiency transfer of agricultural machinery social service, there is a spatial spillover effect, and the efficiency locking phenomenon is significant. Urbanization, population aging, planting structure, fertilizer, pesticide, and labor price have a great impact on the green efficiency of social agricultural machinery services, and regional heterogeneity is obvious.