Abstract: Panel data of 29State Farms in China from 2006to 2020were selected,and based on the SBM-ML index method,Dagum Gini coefficient and Markov chain method were used to further analyze the regional differences and spatial spillover effects of green total factor productivity in China State Farms.The results showed that,from 2006to 2020,the average annual growth rate of green total factor productivity of China State Farms was 5.10%,and the overall trend was fluctuating upward.The regional differences of green agricultural total factor productivity on China State Farms showed an overall trend of expansion,and the regional difference is the main source of the overall difference.The regional differences of green agricultural total factor productivity on China State Farms showed an overall trend of expansion,and there were obvious polarization phenomena in all regions.The transfer of green total factor productivity was affected by spatial factors,and the high level reclamation area promoted the improvement of green total factor productivity in adjacent State Farms areas through the spatial spillover caused by demonstration effect.Considering the spatial lag factor,there was a twolevel‘Matthew effect’in green total factor productivity of China State Farms.Therefore,each State Farm should improve green agricultural total factor productivity by implementing new development concept,attaching importance to scientific research,innovation and application demonstration,and innovating agricultural reclamation cooperation mode.