Table 6.
Treatment group | AQI | |||
---|---|---|---|---|
Limited cities 2020 | Limited cities 2020 | |||
Control group | Limited cities 2019 | Normal cities 2020 | ||
(1) | (2) | (3) | (4) | |
Treat * Post | − 0.056* | − 0.092*** | − 0.036 | − 0.054* |
(0.030) | (0.029) | (0.030) | (0.028) | |
Connections * Treat * Post | − 0.105*** | − 0.088*** | − 0.063* | − 0.071** |
(0.031) | (0.029) | (0.034) | (0.032) | |
Weather | No | Yes | No | Yes |
Fixed effects | Yes | Yes | Yes | Yes |
Constant | 4.252*** | 3.869*** | 4.118*** | 3.843*** |
(0.007) | (0.035) | (0.004) | (0.024) | |
Observations | 6602 | 6602 | 13,860 | 13,858 |
R2 | 0.454 | 0.528 | 0.525 | 0.580 |
This table reports the impact of connections with Wuhan on the effect of lockdown policy. Column (1) and (2) compare the locked cities in 2020 to itself in 2019, and column (3) and (4) compare the locked cities in 2020 to unlocked cities in 2020. Besides, column (1) and (3) present the result with the fixed effects, and column (2) and (4) present the regression with both the weather conditions and fixed effects. The dependent variable is . The key independent variable is
Significance at 10%, 5%, and 1% levels was indicated by *, **, and ***, respectively