Table 9 Heterogeneous effects of digitalization on carbon emission intensity: resource-based vs. non-resource-based and central vs. peripheral cities

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

 

(1)

(2)

(3)

(4)

Label

Resource-based cities

Non-resource-based cities

Central cities

Peripheral cities

 

CO2/GDP

CO2/GDP

CO2/GDP

CO2/GDP

DIGIT

−0.7150**

−0.2887

−0.3033

−0.4290**

 

(0.2691)

(0.1754)

(0.2687)

(0.1598)

Ind

−0.7540***

−0.7031***

−1.5276**

−0.7446***

 

(0.1597)

(0.1342)

(0.6397)

(0.1230)

Pop

−0.1305*

−0.1014*

0.0069

−0.1553**

 

(0.0657)

(0.0469)

(0.0717)

(0.0467)

Urban

0.1539

0.0255

0.0240

0.1064

 

(0.1069)

(0.0633)

(0.1213)

(0.0647)

Fis

0.5221**

0.2542*

0.7777**

0.3240*

 

(0.1728)

(0.1195)

(0.2603)

(0.1417)

Ele

−0.0115

0.0115

0.0929**

0.0000

 

(0.0234)

(0.0154)

(0.0316)

(0.0142)

Open

0.2706***

0.1365**

0.0703

0.1868***

 

(0.0793)

(0.0452)

(0.0688)

(0.0503)

Tech

−0.0098

−0.0008

0.0193**

−0.0046

 

(0.0072)

(0.0047)

(0.0082)

(0.0047)

_cons

4.7875***

3.9230***

5.5893

4.6354***

 

(0.9726)

(0.7308)

(3.0644)

(0.7068)

City Fixed Effect

YES

YES

YES

YES

Year Fixed Effect

YES

YES

YES

YES

N

1017

1512

243

2268

R2_a

0.977

0.970

0.968

0.975

  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. R2_a is adjusted goodness-of-fit. Columns (1) and (2) compare the heterogeneous effects of digitalization between resource-based and non-resource-based cities, while Columns (3) and (4) report the results for central and peripheral cities, respectively.
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