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Table 6 Results of robustness test

From: Different types of industrial agglomeration and green total factor productivity in China: do institutional and policy characteristics of cities make a difference?

Variables

(1)

(2)

(3)

(4)

(5)

(6)

lnLQ_MAN

0.043*

  

0.043*

  
 

(1.90)

  

(1.70)

  

lnLQ_PS8

 

0.080

  

0.084

 
  

(1.17)

  

(1.11)

 

lnCOAG

  

0.154**

  

0.155*

   

(1.98)

  

(1.73)

lnPopDensity

− 0.009

− 0.009

− 0.009

− 0.012

− 0.011

− 0.012

 

(− 1.10)

(− 1.03)

(− 1.06)

(− 1.23)

(− 1.18)

(− 1.20)

lnTaddSadd

− 0.062***

− 0.073***

− 0.065***

− 0.069***

− 0.080***

− 0.071***

 

(− 2.68)

(− 3.68)

(− 2.89)

(− 2.72)

(− 3.73)

(− 2.86)

lnRegulation

0.680***

0.696***

0.691***

0.786***

0.797***

0.793***

 

(6.05)

(6.14)

(6.14)

(6.64)

(6.70)

(6.71)

lnSciEdu

− 0.045**

− 0.047***

− 0.045**

− 0.035*

− 0.040**

− 0.035*

 

(− 2.58)

(− 2.64)

(− 2.54)

(− 1.87)

(− 2.04)

(− 1.87)

lnuF

− 0.004

− 0.005

− 0.004

− 0.006

− 0.006

− 0.006

 

(− 1.09)

.(− 1.14)

(− 1.10)

(− 1.42)

(− 1.48)

(− 1.39)

Constant

1.074***

1.081***

0.932***

1.263***

1.257***

1.113***

 

(6.09)

(6.14)

(4.86)

(6.82)

(6.80)

(5.39)

Observations

3878

3878

3878

3612

3612

3612

R-squared

0.399

0.399

0.400

0.410

0.410

0.411

Number of cities

277

277

277

258

258

258

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