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Table 8 Heterogeneity analysis based on inner and outer cities of urban agglomeration

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)

Inner city

Inner city

Inner city

Outer city

Outer city

Outer city

lnLQ_MAN

0.027

  

0.074

  
 

(1.25)

  

(1.63)

  

lnLQ_PS8

 

0.052

  

0.111

 
  

(1.56)

  

(0.73)

 

lnCOAG

  

0.115**

  

0.227

   

(2.48)

  

(1.25)

lnPopDensity

− 0.012

− 0.012

− 0.012

− 0.005

− 0.004

− 0.004

 

(− 1.01)

(− 0.99)

(− 0.99)

(− 0.51)

(− 0.37)

(− 0.43)

lnTaddSadd

− 0.044**

− 0.047**

− 0.043**

− 0.076*

− 0.100***

− 0.086**

 

(− 2.03)

(− 2.17)

(− 2.00)

(− 1.92)

(− 3.24)

(− 2.40)

lnRegulation

0.595***

0.592***

0.600***

0.940***

0.951***

0.953***

 

(4.57)

(4.53)

(4.59)

(4.59)

(4.54)

(4.61)

lnSciEdu

− 0.024

− 0.027

− 0.024

− 0.056**

− 0.059**

− 0.055**

 

(− 1.05)

(− 1.20)

(− 1.04)

(− 2.16)

(− 2.19)

(− 2.12)

lnuF

− 0.011

− 0.010

− 0.011*

0.003

0.001

0.003

 

(− 1.62)

(− 1.58)

(− 1.70)

(0.64)

(0.17)

(0.58)

Constant

1.066***

1.050***

0.954***

1.340***

1.322***

1.124***

 

(4.95)

(4.93)

(4.47)

(4.38)

(4.24)

(3.23)

Observations

2170

2170

2170

1764

1764

1764

R-squared

0.448

0.448

0.449

0.360

0.359

0.360

Number of cities

155

155

155

126

126

126

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