Table 2 Regression model results of MMR, LBW and PMR for the 31 provinces of China, 2012–2017
Variable | MMR | LBW | PMR | ||||||
|---|---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | |
Primary care physicians per 10,000 population | −4.981*** (− 6.223 to − 3.739) | −5.079*** (− 6.451 to − 3.707) | −5.260*** (− 6.745 to − 3.774) | −0.073* (− 0.144 to − 0.003) | −0.106** (− 0.174 to − 0.019) | −0.106** (− 0.189 to − 0.023) | −0.298*** (− 0.428 to − 0.169) | −0.298** (− 0.441 to − 0.155) | −0.419** (− 0.564 to − 0.273) |
Specialty care physicians per 10,000 population | – | 0.400 (− 1.939 to 2.740) | −0.124 (− 2.554 to 2.306) | – | 0.095 (− 0.037 to 0.227) | 0.053 (− 0.083 to 0.189) | – | − 0.001 (− 0.245 to 0.243) | −0.041 (− 0.279 to 0.197) |
GDP per capital (10,000 Yuan) | – | – | 2.069 (− 0.147 to 4.285) | – | – | 0.156* (0.033 to 0.280) | – | – | 0.310** (0.093 to 0.527) |
Proportion of illiterate population aged 15 and above, % | – | – | −0.176 (− 0.980 to 0.628) | – | – | − 0.006 (− 0.051 to 0.038) | – | – | − 0.163*** (− 0.242 to − 0.084) |
Registered urban unemployment rate, % | – | – | − 1.468 (− 5.662 to 2.726) | – | – | − 0.141 (− 0.376 to 0.093) | – | – | − 0.041 (− 0.451 to 0.370) |
Penetration rate of sanitary toilets in rural areas, % | – | – | 0.087 (− 0.209 to 0.382) | – | – | 0.009 (− 0.008 to 0.025) | – | – | 0.007 (− 0.022 to 0.036) |
Constant | 96.389*** (76.333 to 116.446) | 92.178*** (60.396 to 123.960) | 88.487*** (45.129 to 131.844) | 4.15*** (3.006 to 5.287) | 3.15** (1.350 to 4.940) | 2.725* (0.303 to 5.146) | 10.18*** (8.092 to 12.272) | 10.20*** (6.881 to 13.508) | 11.168*** (6.925 to 15.411) |
Observations | 186 | 186 | 186 | 186 | 186 | 186 | 186 | 186 | 186 |
Number of provinces | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 31 |
R-squared (within) | 0.355 | 0.356 | 0.372 | 0.296 | 0.305 | 0.338 | 0.560 | 0.560 | 0.623 |