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. 2020 Dec 15;17(24):9383. doi: 10.3390/ijerph17249383

Table 6.

The efficiency scores of regions in the first stage (2011–2018.).

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