Table 3 Regression results for the static and dynamic spatial Durbin models.

From: High-speed rail new towns and their impacts on urban sustainable development: a spatial analysis based on satellite remote sensing data

Variables

W1

W2

Static SDM

Dynamic SDM

Static SDM

Dynamic SDM

LnUSDt-1

 

0.326*** (4.48)

 

0.430*** (5.35)

LnHSRNT

0.041*** (5.51)

0.031*** (3.53)

0.047*** (6.46)

0.038***

4.38

LnFDI

0.016*** (4.32)

0.016*** (3.71)

0.015*** (4.13)

0.016***

3.74

LnTRSCG

0.009*** (3.72)

0.011*** (4.24)

0.009*** (4)

0.011***

4.59

LnURB

0.043*** (4.22)

0.044*** (3.68)

0.062*** (6.16)

0.069***

5.85

LnDE

0.019*** (3.55)

0.017*** (2.84)

0.017*** (3.22)

0.014**

2.35

LnPD

0.053*** (4.22)

0.053*** (4.04)

−0.006 (−0.57)

−0.014

−1.24

W*LnHSRNT

0.049*** (2.77)

0.046** (2.20)

0.060*** (3)

0.045*

1.92

W*LnFDI

0.026*** (2.98)

0.032*** (3.10)

0.029*** (2.62)

0.014

1.11

W*LnTRSCG

−0.038*** (−4.39)

−0.037*** (−3.84)

−0.030*** (−3.88)

−0.025***

−3.15

W*LnURB

0.010 (0.45)

0.029 (1.17)

−0.136*** (−4.27)

−0.155***

−3.98

W*LnDE

0.027* (1.95)

0.014 (0.93)

0.025 (1.5)

0.015

0.8

W*LnPD

−0.064*** (−2.93)

−0.074*** (−3.21)

0.104*** (3.97)

0.091***

3.33

Spatial-rho

0.219***

0.100**

0.303***

0.170***

sigma2_e

0.001***

0.001***

0.003***

0.004***

Time fixed

Yes

Yes

Yes

Yes

City fixed

Yes

Yes

Yes

Yes

R2

0.673

0.795

0.621

0.818

  1. Robust t-statistics in parentheses,***p < 0.01, **p < 0.05, *p < 0.1
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