Table 4 Estimation of spatial spillover effects of income in China from 2000 to 2018.

From: Research on the spatial spillover effect of high-speed railway on the income of urban residents in China

  

Spatial adjacency matrix

Space inverse distance matrix

  

Income

Income

Main

Regional accessibility

−0.016** (0.007)

−0.010 (0.007)

Wx

Regional accessibility

−0.006 (0.012)

−0.196*** (0.066)

Spatial

rho

0.630*** (0.012)

0.956*** (0.010)

Variance

sigma2_e

0.004*** (0.000)

0.005*** (0.000)

LR_Direct

Regional accessibility

−0.019*** (0.007)

−0.028*** (0.010)

LR_Indirect

Regional accessibility

−0.039 (0.028)

−4.823** (2.059)

LR_Total

Regional accessibility

−0.058* (0.031)

−4.851** (2.065)

Control variables

Yes

Yes

Time-fixed

Yes

Yes

Regional-fixed

Yes

Yes

N

5301

5434

R2

0.130

0.338

  1. Note: In brackets is the robust standard error of clustering to the level of the prefecture-level city. *, **, *** means significant at the significance level of 10%, 5%, and 1%, respectively.