Abstract: This paper makes a statistical analysis of carbon emission from residential life energy consumption of China's provinces, based on the cross-sectional data of residential energy consumption from 2006 to 2010. It also analyzes carbon emission from residential energy consumption and its influencing factors, tests spatial dependence of different provinces, using spatial statistical software and spatial econometrics models. Spatial autocorrelation test results show that regional space dependence effect exists in the space distribution of carbon emission from residential life energy consumption among adjacent provinces. Through spatial econometric model estimation, we can obtain that income effect is the most pronounced positive impact and population growth has greater contribution to carbon emission from residential energy consumption increase. And resident's energy price and comprehensive coefficients of carbon emissions of resident's energy consumption also have obvious impacts. With residents'income increase and the quality of life improvement, more energy will be consumed to improve life and more carbon will be emitted. Resident's energy price is difficult to be adjusted. Optimization of resident's energy consumption structure and advocating resident's energy-saving behavior are necessary.