Table 6.
Province | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Mean |
---|---|---|---|---|---|---|---|---|---|
Beijing | 0.91 | 0.92 | 0.963 | 0.933 | 0.961 | 0.997 | 0.846 | 0.915 | 0.931 |
Tianjin | 0.969 | 0.898 | 0.887 | 0.882 | 0.861 | 0.875 | 0.839 | 0.849 | 0.883 |
Hebei | 1 | 1 | 1 | 1 | 0.989 | 1 | 0.974 | 0.923 | 0.986 |
Shanxi | 0.612 | 0.664 | 0.669 | 0.681 | 0.646 | 0.661 | 0.621 | 0.67 | 0.653 |
Inner Mongolia | 0.765 | 0.752 | 0.739 | 0.729 | 0.707 | 0.727 | 0.728 | 0.792 | 0.742 |
Liaoning | 0.74 | 0.764 | 0.803 | 0.825 | 0.852 | 0.831 | 0.81 | 0.748 | 0.797 |
Jilin | 0.773 | 0.799 | 0.801 | 0.814 | 0.798 | 0.739 | 0.774 | 0.751 | 0.781 |
Heilongjiang | 0.731 | 0.741 | 0.778 | 0.79 | 0.827 | 0.842 | 1 | 0.804 | 0.814 |
Shanghai | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Jiangsu | 0.851 | 0.82 | 0.85 | 0.866 | 0.872 | 0.885 | 0.841 | 0.827 | 0.852 |
Zhejiang | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Anhui | 0.9 | 0.86 | 0.881 | 0.898 | 0.929 | 0.903 | 0.933 | 0.884 | 0.899 |
Fujian | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.971 | 0.996 |
Jiangxi | 0.982 | 0.962 | 0.99 | 1 | 1 | 1 | 1 | 0.997 | 0.991 |
Shandong | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Henan | 1 | 1 | 1 | 1 | 1 | 0.988 | 0.983 | 1 | 0.996 |
Hubei | 1 | 0.993 | 1 | 1 | 1 | 1 | 1 | 1 | 0.999 |
Hunan | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Guangdong | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Guangxi | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Hainan | 0.96 | 0.919 | 0.988 | 0.979 | 0.968 | 0.975 | 1 | 0.998 | 0.973 |
Chongqing | 0.92 | 0.913 | 0.885 | 0.883 | 0.895 | 0.787 | 0.857 | 0.765 | 0.863 |
Sichuan | 0.96 | 0.95 | 0.943 | 0.918 | 0.967 | 1 | 0.584 | 0.878 | 0.900 |
Guizhou | 0.864 | 0.817 | 0.868 | 0.906 | 0.898 | 0.818 | 0.889 | 0.829 | 0.861 |
Yunnan | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Tibet | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Shaanxi | 0.816 | 0.838 | 0.846 | 0.857 | 0.885 | 0.834 | 1 | 0.841 | 0.865 |
Gansu | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Qinghai | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Ningxia | 0.96 | 1 | 0.969 | 0.943 | 0.996 | 0.922 | 0.894 | 0.93 | 0.952 |
Xinjiang | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Mean | 0.926 | 0.923 | 0.931 | 0.932 | 0.937 | 0.929 | 0.922 | 0.915 | 0.927 |
Efficient DMUs | 15 | 15 | 15 | 16 | 15 | 16 | 17 | 13 | 15.25 |