Table 3.
Regional differences in the impact of population urbanization.
| Variables | SYS-GMM | |||||
|---|---|---|---|---|---|---|
| Eastern region | Central regions | Western regions | ||||
| (1) | (2) | (3) | (4) | (5) | (6) | |
| Morbidity | Mortality | Morbidity | Mortality | Morbidity | Mortality | |
| Population urbanization | −0.6308* | −0.2719** | −0.3562 | −0.4020 | −0.3042 | −0.6780 |
| (−1.957) | (−2.316) | (−0.086) | (−1.216) | (−1.446) | (−0.909) | |
| Population density | 3.1638 | −7.4401 | −6.6646 | −8.8899 | 5.5022 | 2.4767 |
| (1.245) | (−1.232) | (−0.905) | (−0.910) | (0.778) | (0.395) | |
| Age | 0.8588 | 1.0626 | 2.7547** | 1.0209 | 0.1665 | 0.6464* |
| (1.101) | (0.182) | (2.035) | (1.178) | (0.017) | (1.845) | |
| rgdp | 0.2820 | −0.1240 | 0.6602* | −1.2548 | −1.1821** | −0.9506 |
| (1.061) | (−0.519) | (1.799) | (−0.706) | (−2.268) | (−1.308) | |
| Expend | −1.0228* | −0.3583 | −1.1218 | 1.9069 | −1.9507* | 0.7748 |
| (−1.836) | (−0.156) | (−1.549) | (1.191) | (−1.720) | (0.671) | |
| Medical | −0.2009** | −0.4367** | −0.3246* | −0.4469 | −0.1684 | −0.4895 |
| (−2.225) | (2.138) | (−0.493) | (−1.078) | (−0.725) | (−0.396) | |
| Air | −0.0461 | −0.0440 | −1.1638** | −0.3371 | −1.0795 | −0.1793 |
| (−1.294) | (−0.640) | (−2.114) | (−1.074) | (−1.472) | (−1.494) | |
| L.disease | 0.6021*** | 0.2870*** | −1.2830** | −1.1777*** | −1.0159** | 3.4958** |
| (6.033) | (3.038) | (−2.503) | (−2.976) | (−2.329) | (2.537) | |
| AR_1 | 0.0644 | 0.0221 | 0.0189 | 0.0168 | 0.0822 | 0.0243 |
| AR_2 | 0.4952 | 0.6207 | 0.349 | 0.9265 | 0.7641 | 0.4104 |
| Sargan text | 0.9998 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
| Observations | 204 | 204 | 153 | 153 | 170 | 170 |
***, **, *The significance level of 1, 5 and 10%, respectively. The numbers with asterisks in the corresponding rows of all variables in the table represent the estimation coefficients, and the values in the parentheses are the corresponding T statistical values, and the P values of AR_1, AR_2, and Sargan test are provided respectively.