Analysis of Energy Consumption and Environmental Pollution by Spatial Econometric

Large amounts of energy consumption have been serious environmental pollution problems. It is common problem how to promote the sustainable development among economic, energy and environment. This paper compares and analyzes the classical regression model and spatial econometric model about energy and environmental pollution; finds in the study area range, with coal, electric power and energy consumption increased, SO2 emission is more and more. For classical regression model, because the spatial correlation of factors influencing environmental pollution is not reflected in the explanatory variables, explanatory power of equation is weak. But the fitting degree of spatial error model that contains the spatial autocorrelation factors is better, and the regression results are more reasonable and stable.