Ecosystem services value pressure has different driving factors and shows differences in different regions. Taking Beijing City as the study area, considering the spatial distance and local spatial connection factors, this paper explores the driving factors and spatial heterogeneity analysis of ecosystem services value based on STIRPAT model. The factors chosen in the paper are population, per capita GDP, green rate, the proportion of the third industry, the total energy consumption per capita and urbanization rate. The result shows that, population, per capita GDP, green rate, the proportion of the third industry, the total energy consumption per capita and urbanization rateare the important driving factors that affect the value of ecosystem services in Beijing City, and the green rate is positive, the other indicators have a negative impact on the per capita ecosystem service value, in which, the influence of the proportion of the third industry and urbanization rateare the maximum two factors. The relationship between ecosystem services value and its driving factors is very complicated, so this paper takes geographical space effects into the STIRPAT model, and the driving factors of each district is gotten, By analyzing the driving factors of the ecosystem services value of each district, the influence of the driving factors in different regions of Beijing is great. Generally speaking，the influence of the urban expansion area and the urban development zone is higher than that of the ecological conservation area. Based on quantitative analysis of the driving factors and spatial heterogeneity analysis, the relevant measures to improve the service value of the ecosystem services in different regions of Beijing were proposed.