Impact of Urban Rail Transit Network on Residential and Commercial Land Values in China: A Complex Network Perspective

Table 8

The results of the regression model.

	Residential land market model	Commercial land market model
Explained variable	ln (LP_RESI)	ln (LP_COMM)
Intercept	1.07e + 00 <0.526>	1.04e + 00 <0.502>
n_pre4	6.08e − 03^∗∗∗ <7.379>	3.46e − 03^∗∗∗ <4.002>
c_pre4	6.82e + 00^∗∗∗ <3.431>	7.37e + 00^∗∗∗ <3.651>
l_pre4	−2.83e − 01^∗∗∗ <−2.669>	−2.70e − 01^∗∗ <-2.500>
POP_PL	2.07e − 04^∗∗∗ <3.237>	2.29e − 04^∗∗∗ <3.279>
GDP_PC	8.50e − 06^∗∗∗ <2.662>	1.22e − 05^∗∗∗ <3.605>
Sample size	128	128
The adjusted R^2	0.784	0.668
Model type	Individual random effects model	Individual random effects model
Model estimation method	Generalized least squares method (GLS)	Generalized least squares method (GLS)

Z-statistics in angular brackets; ^∗, ^∗∗, and ^∗∗∗.