Table 4.
PHC efficiency in 31 provincial units.
| Province | Stage 1 | Stage 3 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| TE | PTE | SE | RTS | Rank | TE | PTE | SE | RTS | Rank | Compare | |
| Beijing | 1 | 1 | 1 | - | 1 | 0.644 | 0.889 | 0.724 | irs | 20 | ↑ |
| Tianjin | 0.887 | 1 | 0.887 | irs | 13 | 0.731 | 1 | 0.731 | irs | 18 | ↑ |
| Hebei | 0.848 | 0.853 | 0.995 | drs | 16 | 0.833 | 0.846 | 0.985 | irs | 15 | ↑ |
| Shanxi | 0.451 | 0.462 | 0.975 | irs | 30 | 0.437 | 0.509 | 0.859 | irs | 30 | ↑ |
| Inner Mongolia | 0.51 | 0.536 | 0.951 | irs | 27 | 0.477 | 0.596 | 0.801 | irs | 27 | ↑ |
| Liaoning | 0.595 | 0.603 | 0.985 | irs | 25 | 0.618 | 0.694 | 0.89 | irs | 21 | ↓ |
| Jilin | 0.488 | 0.523 | 0.933 | irs | 29 | 0.471 | 0.598 | 0.789 | irs | 28 | ↑ |
| Heilongjiang | 0.506 | 0.542 | 0.933 | irs | 28 | 0.544 | 0.687 | 0.792 | irs | 24 | ↓ |
| Shanghai | 1 | 1 | 1 | - | 2 | 0.806 | 1 | 0.806 | irs | 16 | ↑ |
| Jiangsu | 0.887 | 1 | 0.887 | drs | 14 | 0.911 | 0.924 | 0.986 | irs | 11 | ↓ |
| Zhejiang | 1 | 1 | 1 | - | 3 | 1 | 1 | 1 | - | 1 | - |
| Anhui | 0.927 | 1 | 0.927 | drs | 11 | 1 | 1 | 1 | - | 1 | ↓ |
| Fujian | 0.873 | 0.875 | 0.999 | irs | 15 | 0.804 | 0.847 | 0.949 | irs | 17 | ↑ |
| Jiangxi | 0.956 | 0.98 | 0.976 | drs | 10 | 0.987 | 0.995 | 0.993 | drs | 8 | ↓ |
| Shandong | 0.82 | 1 | 0.82 | drs | 19 | 0.87 | 1 | 0.87 | drs | 12 | ↓ |
| Henan | 0.835 | 0.947 | 0.882 | drs | 17 | 0.839 | 0.939 | 0.893 | drs | 14 | ↓ |
| Hubei | 0.917 | 0.991 | 0.925 | drs | 12 | 0.941 | 0.98 | 0.96 | drs | 9 | ↓ |
| Hunan | 0.826 | 0.882 | 0.936 | drs | 18 | 0.858 | 0.892 | 0.963 | drs | 13 | ↓ |
| Guangdong | 1 | 1 | 1 | - | 4 | 1 | 1 | 1 | - | 1 | - |
| Guangxi | 0.981 | 1 | 0.981 | drs | 9 | 1 | 1 | 1 | - | 1 | ↓ |
| Hainan | 0.694 | 0.864 | 0.804 | irs | 23 | 0.54 | 0.987 | 0.547 | irs | 25 | ↑ |
| Chongqing | 1 | 1 | 1 | - | 5 | 1 | 1 | 1 | - | 1 | - |
| Sichuan | 0.992 | 1 | 0.992 | drs | 8 | 1 | 1 | 1 | - | 1 | ↓ |
| Guizhou | 1 | 1 | 1 | - | 6 | 1 | 1 | 1 | - | 1 | - |
| Yunnan | 1 | 1 | 1 | - | 7 | 0.927 | 0.992 | 0.935 | irs | 10 | ↑ |
| Tibet | 0.373 | 1 | 0.373 | irs | 31 | 0.102 | 0.507 | 0.201 | irs | 31 | ↑ |
| Shanxi | 0.595 | 0.614 | 0.969 | irs | 26 | 0.563 | 0.624 | 0.902 | irs | 23 | ↑ |
| Gansu | 0.761 | 0.767 | 0.993 | irs | 21 | 0.691 | 0.789 | 0.875 | irs | 19 | ↑ |
| Qinghai | 0.707 | 1 | 0.707 | irs | 22 | 0.523 | 1 | 0.523 | irs | 26 | ↑ |
| Ningxia | 0.776 | 1 | 0.776 | irs | 20 | 0.464 | 1 | 0.464 | irs | 29 | ↑ |
| Xinjiang | 0.648 | 0.714 | 0.908 | irs | 24 | 0.58 | 0.703 | 0.826 | irs | 22 | ↑ |
| mean | 0.802 | 0.876 | 0.92 | 0.747 | 0.871 | 0.847 | |||||
drs indicates diminishing returns to scale, irs indicates increasing returns to scale, and - indicates constant returns to scale.