Research Article
[Retracted] Public Sector Performance Assessment Based on DEA Model: The Case of Environmental Policy
Table 2
Low-carbon governance efficiency in China from 2018 to 2020.
| | Region | 2018 | 2019 | 2020 | | TE | PTE | SE | TE | PTE | SE | TE | PTE | SE |
| | Jiangsu | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.0000 | 1.000 | | Beijing | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.0000 | 1.000 | | Shanghai | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | | Anhui | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | | Guangdong | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | | Guizhou | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | | Xizang | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | | Tianjin | 1.000 | 1.000 | 1.000 | 0.938 | 1.000 | 0.938 | 0.942 | 1.000 | 0.942 | | Hebei | 0.791 | 0.852 | 0.928 | 0.941 | 1.000 | 0.941 | 0.912 | 0.913 | 0.999 | | Shanxi | 0.777 | 0.989 | 0.786 | 1.000 | 1.000 | 1.000 | 0.978 | 1.000 | 0.978 | | Neimenggu | 0.764 | 0.858 | 0.891 | 0.925 | 1.000 | 0.925 | 0.810 | 0.856 | 0.947 | | Liaoning | 0.912 | 0.912 | 1.000 | 0.875 | 0.884 | 0.990 | 1.000 | 1.000 | 1.000 | | Jilin | 0.594 | 0.751 | 0.791 | 0.755 | 0.875 | 0.862 | 0.690 | 0.725 | 0.952 | | Heilongjiang | 0.590 | 0.771 | 0.765 | 0.773 | 0.774 | 0.999 | 0.739 | 0.777 | 0.951 | | Zhejiang | 1.000 | 1.000 | 1.000 | 0.988 | 1.000 | 0.988 | 0.960 | 1.000 | 0.960 | | Fujian | 1.000 | 1.000 | 1.000 | 0.904 | 1.000 | 0.904 | 1.000 | 1.000 | 1.000 | | Jiangxi | 0.804 | 0.915 | 0.878 | 0.870 | 0.882 | 0.987 | 0.831 | 0.877 | 0.947 | | Shandong | 0.976 | 1.000 | 0.976 | 0.948 | 1.000 | 0.948 | 1.000 | 1.000 | 1.000 | | Henan | 0.933 | 0.968 | 0.964 | 1.000 | 1.000 | 1.000 | 0.900 | 0.901 | 0.999 | | Hubei | 0.680 | 0.817 | 0.832 | 0.799 | 0.800 | 0.999 | 0.859 | 0.861 | 0.998 | | Hunan | 0.748 | 0.870 | 0.859 | 0.861 | 0.890 | 0.968 | 0.834 | 0.844 | 0.988 | | Guangxi | 0.998 | 1.000 | 0.998 | 0.993 | 1.000 | 0.993 | 1.000 | 1.000 | 1.000 | | Hainan | 0.622 | 0.809 | 0.769 | 0.741 | 0.773 | 0.959 | 0.790 | 0.812 | 0.973 | | Chongqing | 0.628 | 0.845 | 0.743 | 0.715 | 0.738 | 0.968 | 0.716 | 0.771 | 0.929 | | Sichuan | 0.722 | 0.918 | 0.787 | 0.897 | 0.904 | 0.993 | 0.821 | 0.884 | 0.929 | | Yunnan | 0.783 | 0.948 | 0.825 | 0.908 | 0.912 | 0.995 | 0.897 | 0.897 | 0.999 | | Shaanxi | 0.755 | 0.915 | 0.825 | 0.895 | 0.898 | 0.996 | 0.810 | 0.913 | 0.888 | | Gansu | 0.949 | 1.000 | 0.949 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | | Qinghai | 0.866 | 0.936 | 0.925 | 0.872 | 0.879 | 0.992 | 0.758 | 0.829 | 0.914 | | Ningxia | 0.672 | 0.799 | 0.841 | 0.805 | 0.816 | 0.987 | 0.794 | 0.806 | 0.986 | | Xinjiang | 0.846 | 0.951 | 0.890 | 0.908 | 1.000 | 0.908 | 0.882 | 0.888 | 0.994 | | Mean | 0.852 | 0.930 | 0.910 | 0.913 | 0.936 | 0.975 | 0.901 | 0.921 | 0.977 |
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