Table 2.
The effect of airline transport regulation on the confirmed cases of novel coronavirus disease.
| Dependent variable: ln [Confirmed cases] |
|||||
|---|---|---|---|---|---|
| Estimates | S.E. | Estimates | S.E. | ||
| Limitation on air traffic | −4.650 ** | 0.336 | 2020/2/6 | 4.442 ** | 0.176 |
| Limitation on air traffic - square | 4.089 ** | 0.414 | 2020/2/7 | 4.500 ** | 0.175 |
| ln [Bus/tram passenger volume] | 1.819 ** | 0.437 | 2020/2/8 | 4.537 ** | 0.175 |
| ln [Railway transport capacity] | 38.154 ** | 2.365 | 2020/2/9 | 4.550 ** | 0.174 |
| GDP growth (in %) | 1.349 ** | 0.147 | 2020/2/10 | 4.678 ** | 0.176 |
| Intercept | −212.218 ** | 7.681 | 2020/2/11 | 4.736 ** | 0.178 |
| City effect | 2020/2/12 | 4.768 ** | 0.179 | ||
| Wuhan | Reference | 2020/2/13 | 4.822 ** | 0.180 | |
| Beijing | −12.436 ** | 0.545 | 2020/2/14 | 4.868 ** | 0.179 |
| Shanghai | −10.384 ** | 0.576 | 2020/2/15 | 4.878 ** | 0.179 |
| Guangzhou | −4.993 ** | 0.269 | 2020/2/16 | 4.910 ** | 0.178 |
| Chengdu | −2.680 ** | 0.241 | 2020/2/17 | 4.904 ** | 0.179 |
| Shenzhen | 2.427 ** | 0.407 | 2020/2/18 | 4.902 ** | 0.180 |
| Kunming | 2.899 ** | 0.146 | 2020/2/19 | 4.933 ** | 0.179 |
| Xi'an | −4.736 ** | 0.162 | 2020/2/20 | 4.934 ** | 0.179 |
| Chongqing | −0.213 ** | 0.319 | 2020/2/21 | 4.949 ** | 0.179 |
| Hangzhou | Omitted for collinearity | 2020/2/22 | 4.943 ** | 0.179 | |
| Nanjing | Omitted for collinearity | 2020/2/23 | 4.947 ** | 0.178 | |
| Time effect | Reference | 2020/2/24 | 4.942 ** | 0.178 | |
| 2020/1/23 | 2020/2/25 | 4.945 ** | 0.178 | ||
| 2020/1/24 | 0.530 ** | 0.153 | 2020/2/26 | 4.941 ** | 0.178 |
| 2020/1/25 | 1.074 ** | 0.152 | 2020/2/27 | 4.949 ** | 0.178 |
| 2020/1/26 | 1.422 ** | 0.152 | 2020/2/28 | 4.934 ** | 0.177 |
| 2020/1/27 | 1.560 ** | 0.150 | 2020/3/4 | 4.886 ** | 0.175 |
| 2020/1/28 | 2.058 ** | 0.152 | 2020/3/5 | 4.922 ** | 0.177 |
| 2020/1/29 | 2.377 ** | 0.153 | 2020/3/6 | 4.900 ** | 0.176 |
| 2020/1/30 | 2.670 ** | 0.154 | 2020/3/7 | 4.947 ** | 0.177 |
| 2020/1/31 | 3.142 ** | 0.160 | 2020/3/8 | 4.910 ** | 0.176 |
| 2020/2/1 | 3.549 ** | 0.166 | 2020/3/9 | 4.916 ** | 0.176 |
| 2020/2/2 | 3.755 ** | 0.168 | 2020/3/10 | 4.942 ** | 0.177 |
| 2020/2/3 | 3.972 ** | 0.170 | 2020/3/11 | 4.908 ** | 0.176 |
| 2020/2/4 | 4.255 ** | 0.176 | 2020/3/12 | 4.942 ** | 0.177 |
| 2020/2/5 | 4.329 ** | 0.175 | 2020/3/13 | 4.924 ** | 0.176 |
| Number of obs. | 509 | ||||
| Wald χ2 statistics | 31139.41 [p-value = 0.000] | ||||
Notes: The data of 2020/2/29–2020/3/03 are not published. The city effect (dummy variable) is used for controlling the unobserved heterogeneity across cities. The data of bus/tram passenger volume (2018), railway transport capacity (2019) and GDP growth (2018) are based on annual frequency, and thus they are invariant when included in the regression which uses data with a daily frequency.