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Table 3 The impact of HSR on GTI

From: How does high-speed railway affect green technology innovation? A perspective of high-quality human capital

Variables

(1)

(2)

(3)

(4)

(5)

(6)

GTI_Quan

GTI_Qua

GTI_Quan

GTI_Qua

GTI_Quan

GTI_Qua

HSR

0.105**

0.281***

    

(2.32)

(3.85)

    

Station

  

0.022**

0.073***

  
  

(2.46)

(5.15)

  

Line

    

0.074***

0.225***

    

(3.10)

(5.85)

ED

0.108***

− 0.045

0.108***

− 0.045

0.106**

− 0.052

(2.69)

(− 0.49)

(2.65)

(− 0.50)

(2.51)

(− 0.60)

GS

0.046***

0.033*

0.045***

0.029*

0.044***

0.028

(3.84)

(1.93)

(3.74)

(1.70)

(3.70)

(1.64)

FD

− 0.263*

− 0.618**

− 0.242

− 0.546**

− 0.226

− 0.505**

(− 1.66)

(− 2.49)

(− 1.53)

(− 2.25)

(− 1.42)

(− 2.14)

FI

− 0.068*

− 0.016

− 0.071*

− 0.022

− 0.069*

− 0.017

(− 1.70)

(− 0.29)

(− 1.76)

(− 0.39)

(− 1.72)

(− 0.31)

ID

0.166**

0.169**

0.177***

0.201**

0.182***

0.215***

(2.57)

(2.11)

(2.72)

(2.52)

(2.79)

(2.68)

Constant

− 2.779***

− 1.539

− 2.744***

− 1.481

− 2.731***

− 1.424

(− 5.03)

(− 1.54)

(− 4.96)

(− 1.50)

(− 4.83)

(− 1.51)

Observations

3,432

3,432

3,432

3,432

3,432

3,432

R-squared

0.662

0.388

0.662

0.392

0.663

0.396

Number of cities

286

286

286

286

286

286

City FE

Yes

Yes

Yes

Yes

Yes

Yes

Time FE

Yes

Yes

Yes

Yes

Yes

Yes

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