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Table 4 Regression results of system GMM

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)

SysGMM

SysGMM

SysGMM

L.lnGML

− 0.252***

− 0.250***

− 0.255***

 

(− 7.05)

(− 7.16)

(− 7.26)

lnLQ_MAN

0.046***

  
 

(3.33)

  

lnLQ_PS8

 

0.047

 
  

(1.37)

 

lnCOAG

  

0.168***

   

(3.64)

lnPopDensity

− 0.005

− 0.001

− 0.005

 

(− 0.73)

(− 0.16)

(− 0.66)

lnTaddSadd

− 0.037

− 0.060**

− 0.057*

 

(− 1.47)

(− 2.22)

(− 1.94)

lnRegulation

0.187***

0.130**

0.223***

 

(2.66)

(2.18)

(3.30)

lnSciEdu

− 0.037*

− 0.041**

− 0.031

 

(− 1.77)

(− 2.09)

(− 1.57)

lnuF

− 0.004

0.002

− 0.003

 

(− 0.85)

(0.60)

(− 0.77)

Constant

0.134

0.002

0.026

 

(1.24)

(0.02)

(0.27)

Observations

3653

3653

3653

Number of cities

281

281

281

AR(1)

0.000

0.000

0.000

AR(2)

0.336

0.323

0.347

Hansen test

0.201

0.326

0.258

Wald

3026

3123

2965

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