The mid-Holocene is the latest warm period on orbital scale with topography and coastline distribution similar to modern times. Therefore， it is of significance for climate prediction in the future to explore the causes of climate change in this period. In this study， the dynamic downscaling modeling on the climate of China in mid-Holocene were carried out by using the monthly mean atmospheric circulation data of the fully-forced transient experiment results （TraCE-21ka） as lateral boundary nested into the regional climate model （RegCM4）. The dynamic downscaling results could more precisely capture the regional differences of climate in China than the TraCE-21ka simulation.Based on the dynamic downscaling simulation， the summer in the mid-Holocene was warmer while the winter was colder in most areas relative to modern times. Meanwhile， the precipitation difference distribution of "positive in north and negative in south" between mid-Holocene and modern era reveals that the East Asian summer monsoon in mid-Holocene was stronger and the rain belt was far northward than the modern times. To further differentiate contributions of the vegetation， sea surface temperature and greenhouse gases on summer precipitation of China in mid-Holocene， we designed three sensible experiments by replacing the relevant variables of mid-Holocene with modern situation. The results reveal that the vegetation is the most crucial one exerting significant influence on the summer precipitation. The vegetation change from mid-Holocene to modern era could cause significant response of the surface albedo， then absorbed solar radiation and atmospheric structure is differently distributed. Consequently， the meridional temperature gradient of the troposphere is altered accompanied with southward shift of the East Asian subtropical westerly jet， so the vertical flow south to the 35°N is strengthened while the north is weakened， comprehensively leading to the longitudinal displacement of the monsoon precipitation belt. Additionally， the evaporation and water vapor transport are also influenced by the vegetation distribution to large extent， which also contribute to the precipitation response to the vegetation change.