Table 5 Estimated heterogeneous impacts of coal power phaseout on residential income by regional characteristics

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

Explained variables:

LnRincome

LnUincome

 

(1)

(2)

(3)

(4)

(5)

(6)

SMCoalOut * RetiredScale

−0.012**

  

−0.002

  
 

(0.05)

  

(0.67)

  

SMCoalOut * CleanEnergy

 

0.039**

  

0.007

 
  

(0.03)

  

(0.63)

 

SMCoalOut * CoalReliance

  

−0.041**

  

−0.030**

   

(0.04)

  

(0.04)

SMCoalOut

−0.005

−0.050***

−0.004

−0.013

−0.022*

0.002

 

(0.72)

(0.00)

(0.79)

(0.42)

(0.09)

(0.89)

Social-level controls

Yes

Yes

Yes

Yes

Yes

Yes

County FE

Yes

Yes

Yes

Yes

Yes

Yes

Year FE

Yes

Yes

Yes

Yes

Yes

Yes

N

4323

4323

4323

4323

4323

4323

R2

0.987

0.987

0.987

0.984

0.984

0.984

  1. We apply the number of retired plants per year in the county as the measure of phaseout magnitude, which we represent as Retiredscale; Cleanenergy is captured by a dummy variable that takes on the value one if the treatment county has any clean energy deployment; otherwise, it takes zero. CoalReliance is the amount of coal power capacity that the treated countries had in the year 2013 (before intervention started). The standard errors are clustered at the county level. A two-tailed t-test is performed for each coefficient. Exact p values are in parentheses. ∗p < 0.1, ∗∗p < 0.05, and ∗∗∗p < 0.01.
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