From: Comparing public and private hospitals in China: Evidence from Guangdong
 | Model 1 | Model 2 | Model 3 | Model 4 |
---|---|---|---|---|
Dependent variable: | Assets (ln (value of assets in 10,000 RMB)) | Number of machines valued over 10,000 RMB (ln (#machines valued over 10,000 RMB)) | Total employees (ln (#employees)) | Physicians (ln (#physicians)) |
Explanatory variables: | Â | Â | Â | Â |
Non-government non-profit (indicator variable) | -0.974 (6.69)** | -0.662 (3.87)** | -0.392 (4.20)** | -0.629 (5.70)** |
Private for-profit (indicator variable) | -0.433 (2.62)** | 0.024 (0.12) | -0.147 (1.37) | -0.329 (2.60)** |
ln (beds) | 1.073 | 0.886 | 0.729 | 0.657 |
 | (19.19)** | (13.57)** | (20.09)** | (15.34)** |
Contract with social insurance ("appointed" indicator variable) | 0.513 (4.02)** | 0.401 (2.67)** | 0.245 (2.96)** | 0.296 (3.03)** |
University hospital (indicator variable) | 0.1 (0.37) | 0.409 (1.33) | 0.148 (0.85) | 0.259 (1.26) |
Rural hospital (indicator variable) | 0.002 | 0.189 | 0.016 | -0.054 |
 | (0.01) | (0.84) | (0.13) | (0.37) |
Constant | 3.022 | -0.042 | 1.61 | 0.825 |
 | (10.25)** | (0.12) | (8.42)** | (3.66)** |
Observations | 286 | 275 | 288 | 288 |
R-squared | 0.74 | 0.58 | 0.73 | 0.66 |