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Table 2 Baseline regression result

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

0.046**

0.042*

    
 

(2.12)

(1.84)

    

lnLQ_PS8

  

0.058

0.079

  
   

(0.83)

(1.18)

  

lnCOAG

    

0.148*

0.151*

     

(1.94)

(1.94)

lnPopDensity

 

− 0.009

 

− 0.008

 

− 0.009

  

(− 1.06)

 

(− 1.00)

 

(− 1.02)

lnTaddSadd

 

− 0.062***

 

− 0.074***

 

− 0.065***

  

(− 2.72)

 

(− 3.75)

 

(− 2.94)

lnRegulation

 

0.720***

 

0.731***

 

0.729***

  

(6.24)

 

(6.33)

 

(6.32)

lnSciEdu

 

− 0.045**

 

− 0.047***

 

− 0.044**

  

(− 2.58)

 

(− 2.64)

 

(− 2.54)

lnuF

 

− 0.004

 

− 0.004

 

− 0.004

  

(− 1.00)

 

(− 1.06)

 

(− 1.01)

Constant

0.078***

1.130***

0.070***

1.132***

− 0.073

0.989***

 

(4.25)

(6.28)

(3.96)

(6.33)

(− 0.86)

(5.07)

Observations

3934

3934

3934

3934

3934

3934

R-squared

0.391

0.398

0.390

0.399

0.392

0.399

City FE

Yes

Yes

Yes

Yes

Yes

Yes

Time FE

Yes

Yes

Yes

Yes

Yes

Yes

Number of cities

281

281

281

281

281

281

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