Table 7 Results of intermediary effect regression 3: proportion of renewable energy use

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)

 

NE

DIGIT

NE

NE

DIGIT

NE

DIGIT

2.3100

 

44.9397**

1.1825

 

27.8498*

 

(1.8150)

 

(17.2769)

(1.2659)

 

(13.8175)

IV

 

0.0064***

  

0.0062***

 
  

(0.0014)

  

(0.0013)

 

Ind

   

6.1954***

0.0648***

6.4708**

    

(1.4050)

(0.0176)

(1.6643)

Pop

   

1.1916**

-0.0070

1.4936**

    

(0.3671)

(0.0096)

(0.5629)

Urban

   

−0.4534

0.0297

−1.2861

    

(0.6826)

(0.0182)

(0.9483)

Fis

   

−2.9413**

−0.0162

−1.6611

    

(0.9812)

(0.0213)

(0.9372)

Ele

   

0.0736

−0.0017

0.0228

    

(0.1597)

(0.0023)

(0.1827)

Open

   

−0.0711

−0.0131

−0.7336

    

(0.4370)

(0.0099)

(0.7086)

Tech

   

0.0300

0.0004

0.0023

    

(0.0457)

(0.0007)

(0.0522)

_cons

21.3597***

0.1238***

 

−13.7240

−0.1037

 
 

(0.4232)

(0.0352)

 

(7.2809)

(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

  

3.146

  

3.018

   

{0.0761}

  

{0.0823}

Cragg-Donald Wald F statistic

  

29.153

  

25.509

   

[8.96]

  

[8.96]

N

1932

2280

1650

1932

2280

1650

Root MSE

0.3615

0.0090

0.4603

0.3352

0.0088

0.3585

  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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