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Table 6 Heterogeneity analysis

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

Variables

Automobile type

Country of origin

PEV

Hybrid vehicles

Domestic brand

Non-domestic brand

(1)

(2)

(3)

(4)

T × Policy

1.054***

0.371**

− 1.224

1.732***

(0.118)

(0.054)

(0.722)

(0.376)

Cons

− 4.491***

− 28.590*

6.883***

− 72.708

(0.411)

(7.144)

(1.937)

(6.679)

Control variables

Yes

Yes

Yes

Yes

Individual FE

Yes

Yes

Yes

Yes

Time FE

Yes

Yes

Yes

Yes

N

317

224

353

188

R2

0.869

0.846

0.891

0.835

Variables

Motorcycle type

Body size

Sedans

Other cars

Large- and medium-sized vehicles

Small vehicles

(5)

(6)

(7)

(8)

T × Policy

1.370***

0.207*

1.366***

0.305

(0.087)

(0.102)

(0.258)

(0.204)

Cons

− 21.036***

− 1.685***

4.019***

5.267***

(1.429)

(0.504)

(0.276)

(0.362)

Control variables

Yes

Yes

Yes

Yes

Individual FE

Yes

Yes

Yes

Yes

Time FE

Yes

Yes

Yes

Yes

N

255

286

176

365

R2

0.850

0.877

0.826

0.880

  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