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Table 4 Empirical results of the impact of pandemic shock and fiscal subsidies on the sales of new energy vehicles

From: COVID-19 shock, fiscal subsidies, and consumption resilience of new energy vehicles: evidence from Shanghai, China

Variables

RD

Bandwidth for 3 months

DID

RD–DID

Bandwidth for 3 months

RD–DID

Bandwidth for 4 months

RD–DID

Bandwidth for 2 months

RD–DID

Bandwidth for 3 months

(1)

(2)

(3)

(4)

(5)

(6)

T × Policy

 

− 0.210

0.734***

0.164**

0.808**

0.763**

 

(0.149)

(0.062)

(0.069)

(0.261)

(0.290)

T

− 0.229**

− 0.304

− 1.015***

− 0.763***

0.385***

2.628***

(0.046)

(0.220)

(0.134)

(0.162)

(0.038)

(0.292)

Policy

 

0.272

− 1.452***

− 1.143***

− 1.957***

− 2.192***

 

(0.364)

(0.218)

(0.166)

(0.245)

(0.377)

(mondiff × T × Policy)2

     

− 0.220*

     

(0.096)

mondiff × T × Policy

  

− 0.287***

− 0.014

− 0.071

0.596

  

(0.038)

(0.021)

(0.166)

(0.392)

(mondiff × T)2

     

1.629***

     

(0.090)

mondiff × T

− 0.206***

 

0.082***

0.051***

− 1.575***

− 6.437***

(0.008)

 

(0.001)

(0.011)

(0.017)

(0.361)

(mondiff × (1-T) × Policy)2

     

− 0.223***

     

(0.025)

mondiff × (1-T) × Policy

  

− 0.137***

− 0.045

− 0.364**

− 1.034***

  

(0.034)

(0.029)

(0.135)

(0.120)

(mondiff × (1-T))2

     

0.552***

     

(0.034)

mondiff × (1-T)

0.303**

 

0.483***

0.402***

0.697***

2.235***

(0.054)

 

(0.105)

(0.109)

(0.000)

(0.111)

Price

0.153*

− 0.126***

0.153***

0.063***

0.185***

0.153**

(0.054)

(0.034)

(0.005)

(0.013)

(0.022)

(0.052)

Range

0.006***

0.007*

0.006***

0.010***

0.007***

0.006***

(0.0005)

(0.004)

(0.0004)

(0.001)

(0.0004)

(0.001)

Engine

− 1.698**

2.486***

1.175***

1.304***

− 1.865***

1.102

(0.390)

(0.118)

(0.077)

(0.066)

(0.512)

(0.842)

Brand

 

0.155

0.144

4.849***

− 6.119***

− 0.104

 

(1.605)

(1.110)

(0.908)

(0.677)

(2.477)

2. Firm

 

10.675***

− 10.521***

− 5.215***

− 12.330***

− 10.584**

 

(2.245)

(0.267)

(0.726)

(1.240)

(2.943)

3. Firm

 

6.819***

− 1.247

− 4.261***

0.681

− 1.020

 

(1.956)

(0.762)

(0.617)

(0.417)

(1.422)

4. Firm

0.224

− 1.054**

3.109***

3.524***

0.139

3.019**

(0.189)

(0.412)

(0.350)

(0.281)

(0.288)

(1.028)

2. Typecar

− 1.835*

− 1.787

− 1.883***

− 1.412***

− 2.465***

− 1.828**

(0.664)

(1.710)

(0.290)

(0.372)

(0.109)

(0.639)

3. Typecar

− 1.456*

− 1.674**

1.301***

2.797***

– 1.860***

1.190

(0.557)

(0.778)

(0.388)

(0.321)

(0.245)

(1.001)

2. Fuel

− 0.053

5.248**

2.810***

5.008***

0.295

2.693***

(1.047)

(2.261)

(0.480)

(0.354)

(0.411)

(0.571)

3. Fuel

2.450**

0.696

2.582***

2.837***

2.535***

2.581***

(0.560)

(0.569)

(0.422)

(0.382)

(0.292)

(0.481)

2. Drive

6.441***

− 0.218

3.677***

2.034***

7.008***

3.794**

(0.654)

(0.730)

(0.445)

(0.388)

(0.243)

(1.113)

3. Drive

− 0.296

0.192

− 0.278

0.037

− 0.834***

− 0.288

(0.538)

(0.478)

(0.258)

(0.209)

(0.183)

(0.563)

4. Drive

− 0.074

1.507**

− 0.089

0.111

− 0.500

− 0.069

(0.580)

(0.612)

(0.287)

(0.402)

(0.313)

(0.545)

Cons

− 1.503

0.699

− 5.767***

− 6.707***

0.174

− 4.294**

(0.689)

(1.369)

(0.382)

(0.417)

(0.922)

(1.632)

Individual FE

Yes

Yes

Yes

Yes

Yes

Yes

Time FE

Yes

Yes

Yes

Yes

Yes

Yes

N

417

3452

541

731

354

541

R2

0.874

0.674

0.859

0.847

0.875

0.860

  1. The values enclosed in parentheses represent the clustering standard errors, ***, **, * denotes 1%, 5%, and 10% significant levels, respectively
  2. Source: Authors’ computation using STATA 17