Table 3.
Factors that correlated with a city’s time to contain the spread of COVID-19 (robustness checks).
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| VARIABLES | time | time | time | time |
| lninflow | 1.211*** | 1.222*** | 1.283*** | |
| (0.271) | (0.268) | (0.186) | ||
| lngarbage | 2.555*** | 3.574*** | 2.621*** | 3.117*** |
| (0.669) | (0.745) | (0.676) | (0.646) | |
| lnGDP/pop | 1.438 | 0.466 | ||
| (0.919) | (1.097) | |||
| lndensity | 2.880*** | 2.426*** | 2.213*** | 2.374*** |
| (0.732) | (0.505) | (0.542) | (0.568) | |
| bidoctor | −0.012*** | −0.015*** | ||
| (0.002) | (0.002) | |||
| hubei | 6.625*** | 9.508*** | 6.612*** | 5.303*** |
| (1.141) | (0.628) | (1.242) | (0.879) | |
| inflowratio | 21.789*** | |||
| (3.135) | ||||
| lnGDPp | 0.962 | 0.939 | ||
| (1.167) | (1.206) | |||
| Hospital bed | −0.006*** | |||
| (0.001) | ||||
| medicalindex | −0.442*** | |||
| (0.066) | ||||
| Constant | −36.668* | −14.505 | −25.446 | −22.735 |
| (15.390) | (13.712) | (14.709) | (15.616) | |
| Observations | 119 | 119 | 117 | 118 |
| R-squared | 0.641 | 0.606 | 0.628 | 0.623 |
Notes: (1) The t value in parentheses is calculated by using the Chinese 7 major geographic regions level clustering robust standard error; (2) *, **, *** are significant at the 10 %, 5%, and 1% levels, respectively; (3) Samples in the table only include cities outside Hubei Province.