Environmental Sciences Europe

Table 8 Event analysis

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

Variables	(1)	(2)
Before the 3rd month	1.998^***	− 0.938
Before the 3rd month	(0.770)	(0.595)
Before the 2nd month	1.129^***	− 0.339
Before the 2nd month	(0.386)	(0.357)
Before the 1st month	1.689^*	− 1.670^***
Before the 1st month	(0.960)	(0.412)
After the 1st month	− 0.568^**	− 0.845^*
After the 1st month	(0.283)	(0.449)
After the 2nd month	− 1.024^**	− 0.836^**
After the 2nd month	(0.403)	(0.402)
After the 3rd month	− 0.687	− 1.447^***
After the 3rd month	(0.499)	(0.345)
After the 4th month	− 0.230	− 0.723^**
After the 4th month	(0.492)	(0.306)
After the 5th month	− 0.794^***	− 0.753^**
After the 5th month	(0.275)	(0.333)
After the 6th month	− 0.785^**	− 0.865^**
After the 6th month	(0.315)	(0.352)
Cons	1.166	− 1.903
Cons	(0.816)	(1.135)
Control variables	Yes	Yes
Individual FE	Yes	Yes
Time FE	Yes	Yes
N	544	540
R²	0.887	0.843

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

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