Table 2 Benchmark regression.

From: The impact of digital infrastructure on regional green innovation efficiency through industrial agglomeration and diversification

Variables

GIE

 

OLS model

Static SDM model

DI

0.246***

0.367***

 

(2.58)

(4.48)

WDI

 

−2.881**

  

(−2.52)

HR

0.000

0.001

 

(0.50)

(0.81)

OPEN

−0.006

0.001

 

(−0.98)

(0.26)

FF

0.158***

−0.069

 

(3.34)

(−1.53)

IS

0.225***

−0.171**

 

(3.74)

(−2.39)

PD

0.006

−0.042***

 

(0.33)

(−2.59)

GDP

−0.073***

0.121***

 

(−4.12)

(5.68)

GS

−0.081***

0.044**

 

(−3.96)

(2.20)

Constant

2.246***

 
 

(9.74)

 

ρ

 

0.565***

  

(5.76)

Wald

 

56.850**

  

[0.000]

Hausman

172.010***

89.040***

 

[0.000]

[0.000]

LM-Lag

 

10.179***

  

[0.001]

Robust LM-Lag

 

103.780***

  

[0.000]

LM-Error

 

52.061***

  

[0.000]

Robust LM-Error

 

145.662***

  

[0.000]

LR-SDM-SAR

 

71.890***

  

[0.000]

LR-SDM-SEM

 

60.690***

  

[0.001]

LR-both-time

 

2804.05***

  

[0.000]

LR-both-ind

 

26.440**

  

[0.001]

City fixed effects

YES

YES

Year fixed effects

YES

YES

N

2248

2248

R2

0.114

0.157

  1. *** and ** indicate significance at 1% and 5% levels, respectively. Figures in parentheses are z-values. Figures in brackets are the p-values.
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