Table 4.
Variable | M-NMR | M-IMR | M-U5MR | ||||||
---|---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | |
Number of PCPs per 10,000 population | −0.042 (0.053) | −0.011 (0.058) | −0.008 (0.059) | − 0.075 (0.066) | −0.019 (0.074) | − 0.007 (0.076) | −0.113 (0.082) | − 0.038 (0.091) | −0.009 (0.093) |
Visit proportion to primary care, % | −0.005 (0.010) | −0.018 (0.020) | − 0.032 (0.021) | −0.010 (0.013) | − 0.040 (0.025) | −0.053b (0.026) | − 0.015 (0.016) | −0.054 (0.031) | − 0.070b (0.032) |
Number of physicians working in district-level hospitals per 10,000 population | – | −0.082 (0.102) | − 0.139 (0.104) | – | −0.185 (0.127) | − 0.234 (0.132) | – | −0.237 (0.156) | − 0.312 (0.162) |
Tertiary hospitals in the district | – | 0.539 (0.360) | 0.831b (0.378) | – | 0.484 (0.435) | 0.751 (0.457) | – | 0.824 (0.532) | 1.048 (0.557) |
GDP per capita (CNY 10,000/USD 1586.34)) | – | – | −0.032 (0.031) | – | – | −0.028 (0.038) | – | – | − 0.019 (0.046) |
Population density (1000 per square kilometer) | – | – | − 0.046 (0.030) | – | – | −0.063 (0.039) | – | – | − 0.107b (0.048) |
Children aged between 0 and 6, % | – | – | −0.012 (0.062) | – | – | − 0.073 (0.071) | – | – | −0.110 (0.086) |
Pregnant women with rural registration, % | – | – | 0.006 (0.008) | – | – | 0.006 (0.010) | – | – | 0.002 (0.012) |
2015 | −0.758b (0.345) | −0.776b (0.344) | − 0.733b (0.348) | −0.955a (0.368) | − 0.965a (0.366) | −0.952b (0.369) | − 0.858 (0.444) | −0.878b (0.439) | − 0.914b (0.441) |
2016 | −0.555 (0.346) | − 0.674 (0.353) | −0.674 (0.356) | − 0.595 (0.372) | −0.701 (0.381) | − 0.713 (0.382) | −0.556 (0.449) | − 0.735 (0.458) | −0.767b (0.458) |
Constant | 2.770a (0.721) | 3.566b (1.707) | 4.928b (1.933) | 4.148a (0.915) | 6.444a (2.098) | 8.035a (2.413′) | 5.624a (1.135) | 8.431a (2.577) | 10.932a (2.955) |
Observations | 178 | 178 | 178 | 178 | 178 | 178 | 178 | 178 | 178 |
a 1% b 5% Standard errors are in the parentheses. M-NMR, M-IMR and M-U5MR stand for NMR, IMR and U5MR among the interprovincial migrants respectively