Table 3 Direct and indirect effects of connectivity on different sectors based on SDM.

From: Exploring the impacts of high-speed rail on technology-intensive manufacturing: the case of the Yangtze River Delta region, 2007–2016

 

Ln(CCOE)

ln(Man)

(1)

(2)

Direct effect

 ln(WDC)

− 0.073** (0.033)

0.000 (0.012)

 ln(Pop)

2.892** (1.340)

0.677** (0.336)

 ln(PGDP)

3.333*** (1.242)

1.241*** (0.252)

 ln(ST)

0.450*** (0.129)

0.099*** (0.028)

 ln(HPV)

0.161 (0.099)

0.076** (0.038)

 Airport

0.137 (0.183)

0.009 (0.049)

 ln(Ter)

− 1.451 (1.070)

− 0.207 (0.250)

Indirect effect

 ln(WDC)

0.094 (0.087)

− 0.026 (0.021)

 ln(Pop)

1.955 (2.038)

1.046* (0.563)

 ln(PGDP)

1.082 (1.581)

1.123*** (0.355)

 ln(ST)

− 0.518*** (0.158)

− 0.077* (0.042)

 ln(HPV)

− 0.180 (0.218)

− 0.094* (0.053)

 Airport

− 0.534 (1.250)

0.527* (0.306)

 ln(Ter)

− 0.844 (1.502)

− 0.885*** (0.325)

 Spatial rho

0.419*** (0.099)

0.258** (0.114)

City-fixed effect

Yes

Yes

Obs

240

240

R-squared

0.815

0.890

  1. *p < 0.10, **p < 0.05, ***p < 0.01; the values in parentheses are standard errors.
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