Table 2.
Provincial efficiency of Chinese township hospitals (2003–2016).
| No. | Province | 2003 | 2005 | 2007 | 2009 | 2011 | 2013 | 2015 | 2016 | Average |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Tianjin | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| 2 | Hebei | 0.754 | 0.612 | 0.728 | 0.724 | 0.726 | 0.661 | 0.718 | 0.793 | 0.704 |
| 3 | Shanxi | 0.354 | 0.337 | 0.382 | 0.418 | 0.475 | 0.489 | 0.408 | 0.554 | 0.426 |
| 4 | Inner-Mongolia | 0.459 | 0.514 | 0.511 | 0.506 | 0.511 | 0.513 | 0.446 | 0.536 | 0.498 |
| 5 | Liaoning | 0.523 | 0.642 | 0.520 | 0.542 | 0.617 | 0.619 | 0.569 | 0.717 | 0.592 |
| 6 | Jilin | 0.347 | 0.440 | 0.458 | 0.437 | 0.415 | 0.338 | 0.293 | 0.343 | 0.390 |
| 7 | Heilongjiang | 0.420 | 0.449 | 0.530 | 0.621 | 0.482 | 0.610 | 0.679 | 0.740 | 0.556 |
| 8 | Jiangsu | 0.814 | 0.810 | 0.824 | 0.909 | 1.000 | 1.000 | 1.000 | 1.000 | 0.912 |
| 9 | Zhejiang | 0.960 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.997 |
| 10 | Anhui | 0.698 | 0.806 | 0.684 | 0.734 | 0.797 | 0.821 | 0.879 | 0.873 | 0.777 |
| 11 | Fujian | 1.000 | 1.000 | 1.000 | 0.885 | 0.908 | 0.756 | 0.744 | 0.765 | 0.896 |
| 12 | Jiangxi | 0.946 | 1.000 | 1.000 | 1.000 | 1.000 | 0.957 | 1.000 | 1.000 | 0.993 |
| 13 | Shandong | 0.731 | 0.724 | 0.861 | 0.868 | 1.000 | 0.886 | 0.800 | 0.809 | 0.838 |
| 14 | Henan | 0.642 | 0.734 | 0.929 | 0.817 | 0.961 | 0.883 | 1.000 | 1.000 | 0.860 |
| 15 | Hubei | 0.544 | 0.580 | 0.640 | 0.800 | 0.958 | 0.957 | 1.000 | 1.000 | 0.803 |
| 16 | Hunan | 0.500 | 0.551 | 0.565 | 0.674 | 0.886 | 0.827 | 0.953 | 0.983 | 0.727 |
| 17 | Guangdong | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.959 | 0.960 | 0.978 | 0.989 |
| 18 | Guangxi | 0.846 | 0.917 | 0.993 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.970 |
| 19 | Hainan | 0.647 | 0.707 | 0.717 | 0.745 | 0.883 | 0.815 | 0.730 | 0.782 | 0.757 |
| 20 | Chongqing | 0.798 | 0.857 | 0.951 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.953 |
| 21 | Sichuan | 0.859 | 0.966 | 0.962 | 0.910 | 0.929 | 0.927 | 0.956 | 1.000 | 0.942 |
| 22 | Guizhou | 0.615 | 0.747 | 0.930 | 1.000 | 1.000 | 1.000 | 0.798 | 0.743 | 0.872 |
| 23 | Yunnan | 0.725 | 0.837 | 0.981 | 1.000 | 1.000 | 1.000 | 0.985 | 1.000 | 0.944 |
| 24 | Tibet | 1.000 | 1.000 | 1.000 | 0.873 | 0.769 | 0.909 | 0.543 | 0.816 | 0.859 |
| 25 | Shaanxi | 0.509 | 0.557 | 0.538 | 0.504 | 0.466 | 0.499 | 0.584 | 0.591 | 0.530 |
| 26 | Gansu | 0.728 | 0.750 | 0.745 | 0.664 | 0.580 | 0.610 | 0.643 | 0.725 | 0.685 |
| 27 | Qinghai | 0.681 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.931 | 1.000 | 0.972 |
| 28 | Ningxia | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| 29 | Xinjiang | 0.533 | 0.673 | 0.637 | 0.607 | 0.767 | 0.793 | 0.958 | 1.000 | 0.724 |
| - | Average | 0.711 | 0.766 | 0.796 | 0.801 | 0.832 | 0.822 | 0.813 | 0.853 | 0.799 |