… for spatial autocorrelation by introducing spatial features to the models. In particular, we
explore two types of spatial features, namely spatial lag and eigenvector spatial filtering (ESF). …

… spatial interactions, where both the spatial lag term of the dependent variable and the spatial
lag … the independent variables, ie, the spatial lag terms of independent variables. The term …

… Presently, the commonly used spatial econometric models are spatial lag model (SLM),
spatial error model (SEM) and spatial Durbin model (SDM). SEM considers the …

… According to Moran's I, Lagrange Multiplier, and Robust LM test results of each model,
there were no spatial lags or spatial errors in the models, so there was no need to consider the …

… for no spatial lag and Robust LM_test for no spatial lag, … the spatial weight matrix is W 1 or
W 2 , while the spatial lag … the 10% significance test when the spatial weight matrix is W 3 , …

… spatial lag and spatial … spatial lag effects come from the spatially lagged population change.
Each MCD gains 0.711 percent for each percentage point of weighted population growth in …

… Moran scatter plot map of GROWTH at 5% confidence level. … high growth rates for both
themselves and their spatially lagged … growth rates for both themselves and their spatially lagged …

… This study analyzes the effect of urban network externalities on urban growth and compares
… factor input of urban economic growth; and μ is the error term. We omit the spatial lags of the …

… Empirical evidence on the impacts of urban growth on proximate rural communities … To
adjust for this spatial difference, he added spatial lags of each endogenous variable to the CM …

… The spatial Durbin model has a more general form than the spatial lag model and spatial error
model… Meanwhile, in view of the possible endogeneity among variables, the lag term of air …