Table 2.
Regression Results for Hospital Bed Density, China Counties, 2011
| Log of hospital beds per 1000 people | ||||||
|---|---|---|---|---|---|---|
| OLS models | Spatial lag models | Spatial error models | ||||
| Variables | (1) | (2) | (3) | (4) | (5) | (6) |
| Log of saving per capita | 0.175*** | 0.228*** | 0.144*** | 0.216*** | 0.233*** | 0.232*** |
| (10.693) | (12.985) | (8.852) | (12.479) | (13.321) | (13.321) | |
| Log of government revenue per capita | 0.107*** | 0.119*** | 0.096*** | 0.110*** | 0.107*** | 0.105*** |
| (8.593) | (9.216) | (8.083) | (8.647) | (8.622) | (8.254) | |
| Percentage of urban population (%) | −0.003*** | −0.003*** | −0.003*** | −0.002*** | −0.003*** | −0.002*** |
| (−4.180) | (−3.073) | (−3.752) | (−2.905) | (−4.080) | (−2.154) | |
| Log of area size (km2) | 0.082*** | 0.034*** | 0.030*** | 0.013 | −0.009 | −0.006 |
| (8.332) | (2.981) | (3.167) | (1.163) | (−0.788) | (−0.477) | |
| Rho (ρ) / Lambda (λ) | 0.724*** | 0.486*** | 0.905*** | 0.925*** | ||
| (24.329) | (8.751) | (33.334) | (40.683) | |||
| Provinces dummies | No | Yes | No | Yes | No | Yes |
| Sample size | 2043 | 2043 | 2043 | 2043 | 2043 | 2043 |
| R2 | 0.253 | 0.394 | 0.329 | 0.411 | 0.403 | 0.439 |
| Log likelihood | −936.862 | −723.352 | −839.045 | −698.927 | −731.663 | −669.284 |
| Akaike info criterion | 1883.72 | 1516.7 | 1690.09 | 1469.85 | 1473.33 | 1408.57 |
| Spatial model diagnostic tests | ||||||
| Moran’s I (error) | 43.144*** | 19.880*** | ||||
| Robust Lagrange Multiplier (lag) | 43.214*** | 0.424 | ||||
| Robust Lagrange Multiplier (error) | 1378.343*** | 115.737*** | ||||
(1) ***,** and * denote 1, 5 and 10 % significance levels, respectively; (2) Since there are 31 provinces in our dataset, 30 provinces dummies are added to the corresponding regressions; (3) All spatial model diagnostic tests are based on OLS