关键词: 理论基础, 空间杜宾模型, 空间权重矩阵, 因果效应, 内生性

Abstract: It is difficult to capture spatial externalities effectively in experience analysis. Spatial econometrics which models externality in the form of spatial lags is an effective tool to capture externalities, especially technical externalities. But it's important to note: 1)spatial econometric analysis needs solid basis of economic theories and reasonable economic mechanism design;2)the causal effect and the identification and treatment of the endogeneity problems that are closely related to the causal effect are the keys to capture spatial externalities effectively.3)the generation of spatial weights matrices should be taken to match the interaction effect at economic level and social level; 4)when the specification of model contains the endogenous spatial lags, the connotation of the model coefficients is different from the classical linear regression, which needs special explanation.

Key words: Theoretical basis, Spatial Durbin model, Spatial weights matrices, Causal effect, Endogeneity