Abstract: 【Objective】We introduce the concept of social property to provide a theoretical basis for including social development factors in the estimation of ecosystem services in urban green space. 【Method】Using Beijing City as a case study, we used the environmental Kuznets curve and Wolfram Alpha Computational Knowledge Engine to analyze the effects of ecosystem services in urban green space on the local economy, using the current levels of environmental pollution and social development in Beijing City. 【Result】① Per capita carbon emissions, regional environmental noise, SO₂ emissions, NO_x emissions and soot emissions were all significantly correlated with per capita GDP, but not with wastewater discharge or chemical oxygen demand(COD). The simulations of a three-degree univariate polynomial equation between per capita GDP and per capita carbon emissions, regional environmental noise, and emissions of SO₂ and NO_x were all significant, with R² >0.7 for all. The relationship between per capita carbon emissions and per capita GDP presented an inverted “U” shape, and both of the relationships between per capita GDP and the regional environmental noise and SO₂ concentration showed an inverted “N” shape. These three relationships all showed a “y=0” point; ② The impact coefficients of per capita GDP on per capita carbon emissions, regional environmental noise and SO₂ emissions were 0.67, 0.68 and 0.91, respectively. ③ In 2010, the ecological service values of CO₂ sequestration, O₂ release, noise reduction and SO₂ absorption of urban green space were(RMB)8 064.157 4, 6.287 3, 1 193.491 3 and 16.690 1 million yuan respectively basing on the traditional estimation methods, while their values changed to(RMB)5 402.985 5, 4.212 5, 811.574 1 and 15.188 0 million yuan respectively when taking economic factors into account. 【Conclusion】Social properties should be included in the ecosystem service estimation of urban green space, as the service values depend on the level of economic development of the city. CO₂ sequestration,O₂ release, noise reduction and SO₂ absorption had the obvious impact coefficients, and Per capita GDP had a significant impact on these ecosystem services. It means that social properties should be included in the ecosystem service estimation of urban green space, but how to estimate all of the ecosystem services by using the environmental Kuznets curve is needed to be investigated farther.