Table 6 Results of intermediary effect regression 2: energy consumption structure

From: From data to decarbonization: the digital economy’s role in reducing carbon emissions intensity and advancing environmental justice

 

(1)

(2)

(3)

(4)

(5)

(6)

 

ES

DIGIT

ES

ES

DIGIT

ES

DIGIT

−1.2671*

 

−8.6496**

−1.1390*

 

−6.2679*

 

(0.5912)

 

(2.8940)

(0.5745)

 

(2.8108)

IV

 

0.0064***

  

0.0062***

 
  

(0.0014)

  

(0.0013)

 

Ind

   

−0.6008

0.0648***

−0.3387

    

(0.3647)

(0.0176)

(0.3921)

Pop

   

0.1049

−0.0070

0.0544

    

(0.1343)

(0.0096)

(0.1347)

Urban

   

0.4161

0.0297

0.5452

    

(0.2938)

(0.0182)

(0.3093)

Fis

   

−0.0790

−0.0162

−0.3706

    

(0.2292)

(0.0213)

(0.3330)

Ele

   

−0.1229*

−0.0017

−0.1201*

    

(0.0544)

(0.0023)

(0.0580)

Open

   

−0.1427

−0.0131

−0.1867

    

(0.1212)

(0.0099)

(0.1131)

Tech

   

−0.0347*

0.0004

−0.0310*

    

(0.0156)

(0.0007)

(0.0159)

_cons

0.9226***

0.1238***

 

4.8440*

−0.1037

 
 

(0.1706)

(0.0352)

 

(2.0608)

(0.0935)

 

City Fixed Effect

YES

YES

YES

YES

YES

YES

Year Fixed Effect

NO

YES

YES

YES

YES

YES

Kleibergen–Paap rk LM statistic

  

5.079

  

5.081

   

{0.0242}

  

{0.0242}

Cragg-Donald Wald F statistic

  

75.112

  

68.680

   

[8.96]

  

[8.96]

N

2216

2280

2208

2216

2280

2208

Root MSE

0.1550

0.0090

0.1575

0.1526

0.0088

0.1486

  1. *, **, *** represent the statistically significant at 10%, 5%, and 1% levels, respectively. Standard errors in () are adopted 2-way robust clustered at year and city levels. The figures in {} is the P statistics of Kleibergen–Paap rk LM test with the null hypothesis is the IV cannot be fully identified. The figures in [] is the critical value of Cragg-Donald Wald F test at 15% maximal IV size, proposed by Stock-Yogo (2005)112. MSE is shortened for Mean Square Error.
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