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. 2024 Jul 18;15:6041. doi: 10.1038/s41467-024-50447-1

Table 1.

Regression results showing the negative impact of power outages on EV adoption

lnNEV (BEV + PHEV) lnBEV lnPHEV
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)
L1. (outage times)

-0.011***

(0.001)

-0.0053***

(0.001)

-0.0092***

(0.001)

-0.0039***

(0.0009)

-0.014***

(0.003)

-0.0016***

(0.003)

L2. (outage times)

-0.0088***

(0.001)

-0.0076***

(0.0012)

-0.023***

(0.003)

L1. (outage hours)

-0.00024**

(0.0001)

-0.00015*

(0.00008)

-0.00020**

(0.00009)

-0.00011

(0.00007)

-0.00027*

(0.0001)

-0.00031*

(0.00016)

L2. (outage hours)

-0.00021***

(0.00007)

-0.00019***

(0.00007)

-0.00050***

(0.0001)

ln GDP

-0.042

(0.027)

-0.048**

(0.023)

-0.043

(0.027)

-0.048***

(0.023)

-0.024

(0.026)

-0.026

(0.021)

-0.025

(0.026)

-0.026

(0.022)

-0.047

(0.040)

-0.074

(0.046)

-0.049

(0.042)

-0.075

(0.047)

Constant

4.63***

(0.22)

4.94***

(0.19)

4.55***

(0.22)

4.82***

(0.19)

4.31***

(0.21)

4.57***

(0.18)

4.25***

(0.22)

4.47***

(0.18)

2.48***

(0.34)

3.14***

(0.39)

2.37***

(0.34)

2.79***

(0.39)

R-squared 0.96 0.98 0.96 0.98 0.97 0.98 0.96 0.98 0.90 0.90 0.90 0.90
Year*City FE YES YES YES YES YES YES YES YES YES YES YES YES
Month*City FE YES YES YES YES YES YES YES YES YES YES YES YES
Observations 4700 4090 4700 4090 4700 4090 4700 4090 4700 4090 4700 4090
Number of city 301 298 301 298 301 298 301 298 301 298 301 298

This table reports the estimated coefficients and cluster-robust standard errors (in parentheses). The dependent variable in Columns (1–4) is the log of monthly sales for new energy vehicles (NEVs); in Columns (5–8), it is the log of monthly sales for battery electric vehicles (BEVs); and in Columns (9–12), it is the log of monthly sales for plug-in hybrid electric vehicles (PHEVs). Here, the total sales of NEVs equal the combined sales of both BEVs and PHEVs. L1 means 1-month lag; L2 means 2-month lag. Standard errors in parentheses are clustered to the city level. *P < 0.1, **P < 0.05, ***P < 0.01. R-squared denotes the goodness-of-fit of the regressions.