Table 4.
Factors that correlated with a city’s time to contain the spread of COVID-19 (interaction term: moderating effects).
| (1) | (2) | (3) | (4) | (5) | (6) | |
|---|---|---|---|---|---|---|
| VARIABLES | time | time | time | time | time | time |
| lninflow | 1.344*** | −5.660** | 3.469*** | 0.526*** | 1.002*** | 1.043*** |
| (0.267) | (1.775) | (0.693) | (0.139) | (0.222) | (0.187) | |
| lngarbage | 3.188*** | 3.169*** | 9.195*** | 1.972*** | 18.870* | 3.124*** |
| (0.414) | (0.460) | (1.447) | (0.387) | (8.653) | (0.401) | |
| lndensity | 1.923*** | −4.522* | 1.853** | 2.181*** | 8.451* | 3.574*** |
| (0.511) | (1.892) | (0.524) | (0.429) | (3.776) | (0.710) | |
| bidoctor | 0.004 | −0.012*** | −0.014*** | −0.069*** | −0.012*** | 0.087** |
| (0.011) | (0.002) | (0.002) | (0.006) | (0.002) | (0.030) | |
| hubei | 6.357*** | 7.464*** | 5.771*** | 7.361*** | 7.648*** | 7.443*** |
| (1.021) | (0.851) | (0.778) | (0.599) | (0.906) | (0.754) | |
| Doctor*inflow | −0.002 | |||||
| (0.001) | ||||||
| Density*inflow | 0.721*** | |||||
| (0.179) | ||||||
| Garbage*inflow | −0.633*** | |||||
| (0.159) | ||||||
| Doctor*garbage | 0.011*** | |||||
| (0.001) | ||||||
| Density*garbage | −1.707 | |||||
| (0.920) | ||||||
| Density*Doctor | −0.011** | |||||
| (0.003) | ||||||
| Constant | −15.180** | 47.481** | −34.569*** | −4.493 | −72.321* | −27.674*** |
| (5.559) | (18.127) | (9.142) | (3.990) | (35.056) | (6.959) | |
| Observations | 119 | 119 | 119 | 119 | 119 | 119 |
| R-squared | 0.636 | 0.637 | 0.650 | 0.671 | 0.641 | 0.644 |
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.