Table 3 Estimated impact of coal power phaseout on PM2.5

From: Evaluating socio-economic and subjective well-being impacts of coal power phaseout in China

Explained variable: PM2.5

DID

DID

Control group I

Different cluster level

Different independent variable

Different independent variable

 

(1)

(2)

(3)

(4)

(5)

(6)

SMCoalOut

−1.417***

−1.541*

−2.381***

−1.541**

  
 

(0.00)

(0.09)

(0.01)

(0.02)

  

RetiredPlants

    

−0.874**

 
     

(0.02)

 

RetiredCapacity

     

−4.603**

      

(0.04)

Social-level controls

No

Yes

Yes

Yes

Yes

Yes

Weather controls

No

Yes

Yes

Yes

Yes

Yes

County FE

Yes

Yes

Yes

Yes

Yes

Yes

Year FE

Yes

Yes

Yes

Yes

Yes

Yes

N

4323

4323

2937

4323

4323

4323

R2

0.926

0.929

0.933

0.929

0.929

0.929

  1. Column (1) shows the estimate with a simple fixed-effect regression without controls and SE cluster, and column (2) reports the estimate by adding a set of social-level and weather controls. Columns (3) and (4) report robustness checks that only use control group I and change cluster level to a higher level. The models in Columns (5) and (6) further change the key independent variable (SMCoalOut) from dummy variable to quantitative variables to capture the impact of retired coal power scale. The standard errors are clustered at the county level, except in columns (1) and (4). A two-tailed t-test is performed for each coefficient. The exact p values are in parentheses. ∗p < 0.1, ∗∗p < 0.05, and ∗∗∗p < 0.01.
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