Table 4 Robustness checks 3: Excluding confounding effects from emission trading schemes & low-carbon city pilots policy

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)

 

excl. SETS

excl. CETS

excl. low-carbon city pilots

 

CO2/GDP

CO2/GDP

CO2/GDP

CO2/GDP

CO2/GDP

CO2/GDP

DIGIT

−0.9290**

−0.5132*

−0.9588**

−0.5031***

−0.9089**

−0.4909***

 

(0.3479)

(0.2285)

(0.3171)

(0.1490)

(0.3032)

(0.1178)

Ind

 

−0.7196***

 

−0.7576***

 

−0.6208***

  

(0.1315)

 

(0.1279)

 

(0.1380)

Pop

 

−0.1372**

 

−0.1608***

 

−0.1276**

  

(0.0534)

 

(0.0477)

 

(0.0471)

Urban

 

0.1750*

 

0.0782

 

0.1760**

  

(0.0858)

 

(0.0671)

 

(0.0647)

Fis

 

0.3142*

 

0.3369*

 

0.2848*

  

(0.1458)

 

(0.1516)

 

(0.1346)

Ele

 

−0.0193

 

0.0015

 

0.0009

  

(0.0146)

 

(0.0144)

 

(0.0179)

Open

 

0.1908**

 

0.1946**

 

0.2150***

  

(0.0604)

 

(0.0614)

 

(0.0616)

Tech

 

−0.0068

 

−0.0035

 

−0.0047

  

(0.0056)

 

(0.0047)

 

(0.0051)

_cons

0.6137***

4.6842***

0.6269***

4.7342***

0.6147***

3.9224***

 

(0.0909)

(0.7411)

(0.0810)

(0.7471)

(0.0774)

(0.7723)

City Fixed Effect

YES

YES

YES

YES

YES

YES

Year Fixed Effect

YES

YES

YES

YES

YES

YES

N

1719

1719

2274

2274

1745

1745

R2_a

0.955

0.972

0.962

0.975

0.969

0.980

  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 and their interaction term. R2_a is adjusted goodness-of-fit. Columns (1)–(4) exclude potential confounding effects from emission trading schemes, while Columns (5)–(6) further exclude the influence of low-carbon city pilot policies.
Back to article page