Abstract: It is very important to clarify the characteristics and their influencing factors of the spatial and temporal pattern of transferred cultivated land in China for scientifically evaluating the ecological cost of transferred cultivated land,the effectiveness of the cultivated land requisition-compensation policy and optimizating the spatial distribution pattern of cultivated land.Based on the data of land use and socio-economic from 2000 to 2020,this study revealed the spatiotemporal differentiation characteristics and center of gravity changes of transferred farmland in China in the past 20 years.The differences in sources and key influencing factors of transferred farmland in different regions were explored,using the methods of center of gravity transfer analysis,spatial autocorrelation analysis,and multiple linear regression analysis.The results showed that: (1) the transferred farmland area was 21.252 million square hectares from 2000 to 2020,with an overall spatial pattern of "higher in the northeast and northwest,and less in the south".Moreover,the key point of transferred farmland was gradually transferred towards the northwest,with the western region being the most important area for transferred farmland; (2) In the past 20 years,forest land and grassland were the main sources of transferred farmland,accounting for 73.5% of the total transferred farmland.However,the sources of transferred farmland presented significant spatial imbalances at different stages; (3) The transferred farmland was comprehensively affected by natural conditions (temperature,slope),socio-economic factors (total power of agricultural machinery,added value of secondary industry,road network density),and regional policies (added value of forestry,added amount of construction land),whereas the key influencing factors showed significant differences among different regions.These results provided important guiding value for effectively managing and controlling the types of cultivated land transfer,optimizing cultivated land protection policies and system innovation.