CAJ | 학술논문

有效捕捉空间外部性是经验分析中的一大难题。空间计量方法通过空间滞后的形式将外部性纳入空间计量模型,是捕捉外部性、特别是技术外部性的有效工具。但需要注意：空间计量分析需要坚实的经济理论基础和合理的经济机制设计;因果效应和与之密切相关的内生性问题的识别和处理是有效捕捉空间外部性问题的关键;空间权重矩阵的生成方式应与经济社会层面的交互效应相匹配;当模型设定中包含内生的空间滞后时,模型系数的内涵不同于经典线性回归,需要特殊解释。
유효포착공간외부성시경험분석중적일대난제。공간계량방법통과공간체후적형식장외부성납입공간계량모형,시포착외부성、특별시기술외부성적유효공구。단수요주의：공간계량분석수요견실적경제이론기출화합리적경제궤제설계;인과효응화여지밀절상관적내생성문제적식별화처리시유효포착공간외부성문제적관건;공간권중구진적생성방식응여경제사회층면적교호효응상필배;당모형설정중포함내생적공간체후시,모형계수적내함불동우경전선성회귀,수요특수해석。
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.