Table 2.
Factors that correlated with a city’s time to contain the spread of COVID-19 (benchmark results).
| (1) | (2) | (3) | (4) | (5) | |
|---|---|---|---|---|---|
| VARIABLES | time | time | time | time | time |
| lninflow | 1.033*** | 1.074** | 1.180*** | 1.150*** | 1.048** |
| (0.223) | (0.332) | (0.265) | (0.255) | (0.342) | |
| lnpopu | 3.574*** | 3.217** | |||
| (0.679) | (1.154) | ||||
| lnGDP | 3.226*** | 1.240 | |||
| (0.868) | (1.171) | ||||
| lngarbage | 2.798*** | 2.934*** | |||
| (0.671) | (0.594) | ||||
| lndensity | 0.628 | 2.322*** | 2.152*** | −0.084 | |
| (0.855) | (0.522) | (0.410) | (1.195) | ||
| lnGDPp | −2.206 | 0.987 | 0.713 | ||
| (1.795) | (1.055) | (0.947) | |||
| bidoctor | −0.012*** | −0.012*** | −0.012*** | −0.012*** | −0.013** |
| (0.003) | (0.003) | (0.002) | (0.002) | (0.003) | |
| hubei | 6.771*** | 6.791*** | 6.819*** | 6.537*** | |
| (0.729) | (1.393) | (1.152) | (1.254) | ||
| SARS | −0.071 | ||||
| (0.146) | |||||
| Constant | 0.169 | 13.608 | −26.972* | −22.605* | −10.930 |
| (2.329) | (22.903) | (13.828) | (11.030) | (20.716) | |
| Observations | 119 | 117 | 117 | 106 | 109 |
| R-squared | 0.627 | 0.653 | 0.635 | 0.531 | 0.633 |
Notes: (1) The t value in parentheses is calculated by using the Chinese 7 major geographic regions level clustering robust standard error; (2) *, **, *** are statistically significant at the 10 %, 5%, and 1% levels, respectively.