长三角城市创新空间的集聚与溢出效应

王承云, 孙飞翔

Spatial agglomeration and spillover effects of urban innovation in Yangtze River Delta

Chengyun WANG, Feixiang SUN

表5 OLS模型与空间回归模型估计结果比较

Tab. 5 Comparison of OLS model and spatial regression model estimation

变量	OLS			SLM			SEM
变量	系数	t统计量	95%置信区间	系数	Z值	95%置信区间	系数	Z值	95%置信区间
常数	4.531	68.857	[4.388,4.674]	6.647	4.634	[3.490,9.804]	4.529	63.245	[4.373,4.685]
F₁	0.151^**	2.229	[0.003,0.300]	0.135^**	2.447	[0.014,0.257]	0.155^***	2.663	[0.028,0.282]
F₂	0.272^***	3.995	[0.123,0.420]	0.262^***	4.799	[0.142,0.383]	0.291^***	4.784	[0.159,0.424]
F₃	0.127^*	1.865	[-0.021,0.275]	0.116^**	2.104	[-0.005,0.237]	0.132^**	2.321	[0.008,0.256]
R²	0.670			0.716			0.675
Log likelihood	0.955			1.865			0.998
LM-Error	3.457^*
Robust LM-Error	0.067
LM-Lag	5.608^**
Robust LM-Lag	1.087^*
空间滞后项 $\begin{matrix} ρ \end{matrix}$				-0.461	-1.475	[-1.679,0.237]
空间误差项 $\begin{matrix} λ \end{matrix}$							0.209	0.596	[-0.555,0.973]