Table 2.
Regression results showing the non-negative impact of power outages on non-EV adoption
| ln non-EV (Gasoline+Diesel+Compressed natural gas+Ethanol) | ||
|---|---|---|
| L1.Outage times | 0.038*** | |
| (0.005) | ||
| L1.Outage hours | 0.0007*** | |
| (0.0003) | ||
| lnGDP | 0.086 | 0.091 |
| (0.088) | (0.09) | |
| Constant | 3.84*** | 4.13*** |
| (0.73) | (0.75) | |
| Year*City FE | YES | YES |
| Month*City FE | YES | YES |
| Observations | 4700 | 4700 |
| Number of city | 301 | 301 |
| R-squared | 0.67 | 0.65 |
This table reports the estimated coefficients and cluster-robust standard errors (in parentheses). The dependent variable is the log of monthly sales for non-energy vehicles (non-EVs), which include cars powered by gasoline, diesel, compressed natural gas, and ethanol. L1. means 1-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.