From: The impact of human resources for health on the health outcomes of Chinese people
DMU | effch | techch | pech | sech | tfpch |
---|---|---|---|---|---|
Beijing | 1.081 | 0.851 | 1.034 | 1.045 | 0.919 |
Tianjin | 1.000 | 0.866 | 1.000 | 1.000 | 0.866 |
Hebei | 0.979 | 0.969 | 1.029 | 0.952 | 0.949 |
Shanxi | 1.030 | 0.947 | 1.029 | 1.001 | 0.975 |
Inner Mongolia | 1.018 | 0.915 | 1.012 | 1.006 | 0.931 |
Liaoning | 0.981 | 0.946 | 0.980 | 1.001 | 0.928 |
Jilin | 1.073 | 0.890 | 1.083 | 0.991 | 0.954 |
Heilongjiang | 1.002 | 0.937 | 1.002 | 1.000 | 0.939 |
Shanghai | 1.029 | 0.865 | 1.000 | 1.029 | 0.891 |
Jiangsu | 0.973 | 0.963 | 0.946 | 1.029 | 0.937 |
Zhejiang | 0.996 | 0.943 | 0.947 | 1.051 | 0.940 |
Anhui | 0.971 | 0.946 | 0.997 | 0.974 | 0.918 |
Fujian | 1.016 | 0.957 | 1.020 | 0.996 | 0.973 |
Jiangxi | 1.002 | 0.951 | 1.038 | 0.966 | 0.953 |
Shandong | 0.960 | 0.956 | 0.937 | 1.024 | 0.918 |
Henan | 0.982 | 0.949 | 0.954 | 1.030 | 0.933 |
Hubei | 0.998 | 0.951 | 0.968 | 1.031 | 0.949 |
Hunan | 1.013 | 0.930 | 1.007 | 1.005 | 0.942 |
Guangdong | 1.002 | 0.955 | 0.990 | 1.012 | 0.957 |
Guangxi | 0.989 | 0.956 | 0.991 | 0.998 | 0.946 |
Hainan | 1.000 | 0.966 | 1.000 | 1.000 | 0.966 |
Chongqing | 0.985 | 0.922 | 0.919 | 1.072 | 0.908 |
Sichuan | 0.997 | 0.937 | 0.997 | 1.000 | 0.934 |
Guizhou | 0.978 | 0.932 | 0.967 | 1.011 | 0.911 |
Yunnan | 0.998 | 0.950 | 1.000 | 0.997 | 0.948 |
Tibet | 1.000 | 0.918 | 1.000 | 1.000 | 0.918 |
shaanxi | 1.021 | 0.942 | 1.044 | 0.978 | 0.961 |
Gansu | 1.040 | 0.918 | 1.036 | 1.004 | 0.955 |
Qinghai | 1.016 | 0.941 | 1.014 | 1.002 | 0.956 |
Ningxia | 1.035 | 0.912 | 1.034 | 1.001 | 0.944 |
Sinkiang | 1.054 | 0.930 | 1.050 | 1.004 | 0.980 |
mean | 1.007 | 0.932 | 1.000 | 1.006 | 0.938 |