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Table 7 Heterogeneity analysis based on the administrative levels of the city

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)

High

High

High

Low

Low

Low

lnLQ_MAN

0.100

  

0.047*

  
 

(1.66)

  

(1.94)

  

lnLQ_PS8

 

0.049

  

0.076

 
  

(0.70)

  

(1.03)

 

lnCOAG

  

0.326**

  

0.154*

   

(2.14)

  

(1.88)

lnPopDensity

− 0.006

− 0.007

− 0.005

− 0.010

− 0.009

− 0.009

 

(− 0.96)

(− 1.10)

(− 0.90)

(− 0.89)

(− 0.80)

(− 0.85)

lnTaddSadd

0.092

0.063

0.075

− 0.067***

− 0.078***

− 0.070***

 

(1.61)

(1.02)

(1.32)

(− 2.79)

(− 3.74)

(− 3.00)

lnRegulation

0.786***

0.787***

0.800***

0.696***

0.717***

0.708***

 

(2.96)

(2.88)

(2.97)

(5.60)

(5.65)

(5.68)

lnSciEdu

− 0.060

− 0.051

− 0.053

− 0.043**

− 0.044**

− 0.042**

 

(− 1.55)

(− 1.35)

(− 1.48)

(− 2.16)

(− 2.17)

(− 2.13)

lnuF

− 0.009

− 0.008

− 0.009

− 0.004

− 0.004

− 0.004

 

(− 0.88)

(− 0.78)

(− 0.87)

(− 0.90)

(− 0.98)

(− 0.91)

Constant

1.171***

1.200***

0.852**

1.103***

1.113***

0.961***

 

(3.17)

(3.23)

(2.08)

(5.55)

(5.57)

(4.54)

Observations

490

490

490

3,444

3,444

3,444

R-squared

0.569

0.566

0.572

0.391

0.391

0.392

Number of cities

35

35

35

246

246

246

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