Table 6.
ARDL Empirics robustness check with Non-meteorological.
| Variables | ARDL (Eq-1) |
ARDL (Eq-2) |
||
|---|---|---|---|---|
| Coefficient | t-statistics | Coefficient | t-statistics | |
| Log Air Quality | 2.0844* | 1.4000 | 3.9163** | 1.8000 |
| Log Temperature | -2.8457** | -1.8900 | -3.5353* | -1.7300 |
| Log Humidity | -1.6274 | -1.9100 | -2.8477 | -1.3700 |
| Human development index | -10.3996 | -0.2600 | - | |
| Health security index | -0.2699* | -0.8400 | - | - |
| Population density | - | - | -8.3350* | -0.2700 |
| Median age | 5.6963** | 2.2000 | ||
| Constant | 4.1000** | 4.0110 | 102.0041** | 0.4100 |
| Error correction term | -0.0887*** | -3.4400 | -0.0906** | -3.3300 |
| F-Statistic | 198.35 | - | 55.35 | - |
| Adj R-squared | 0.9201 | - | 0.3351 | - |
| F-bound test | 3.972** | - | 3.542*** | - |
| t-test | -3.442** | - | -3.330** | - |
Notes: The symbols *, **, and *** denote the significance level at 10%, 5%, and 1% respectively. The ARDL eq-1 is estimated with human development index, and health security index as control variables. While, equation 2 is estimated with population density and median age of people. The bound tests show that model is stable.