From: Measuring productivity of healthcare services under environmental constraints: evidence from China
Provinces | MGML | EC | BPC | TGC | Provinces | MGML | EC | BPC | TGC |
---|---|---|---|---|---|---|---|---|---|
Beijing | 1.1071 | 1.0806 | 1.0245 | 1.0001 | Hubei | 1.0270 | 1.0008 | 1.0152 | 1.0108 |
Tianjin | 1.0470 | 1.0361 | 1.0089 | 1.0016 | Hunan | 1.0183 | 1.0447 | 0.9734 | 1.0014 |
Hebei | 1.0091 | 1.0006 | 1.0167 | 0.9919 | Guangdong | 1.0055 | 0.9978 | 1.0094 | 0.9983 |
Shanxi | 1.0130 | 1.0222 | 0.9821 | 1.0090 | Guangxi | 0.9928 | 1.0031 | 0.9890 | 1.0007 |
Inner Mongolia | 0.9824 | 0.9934 | 0.9919 | 0.9970 | Hainan | 0.9905 | 0.9999 | 0.9892 | 1.0014 |
Liaoning | 1.0235 | 1.0402 | 0.9862 | 0.9977 | Chongqing | 0.9861 | 1.0131 | 0.9699 | 1.0035 |
Jilin | 0.8886 | 0.9170 | 0.9799 | 0.9889 | Sichuan | 0.9881 | 1.0008 | 0.9849 | 1.0024 |
Heilongjiang | 1.0160 | 1.0258 | 0.9850 | 1.0056 | Guizhou | 0.9901 | 0.9950 | 0.9958 | 0.9993 |
Shanghai | 1.0511 | 1.0261 | 1.0244 | 1.0000 | Yunnan | 1.0099 | 1.0204 | 0.9899 | 0.9998 |
Jiangsu | 1.0099 | 1.0242 | 0.9865 | 0.9995 | Tibet | 1.0001 | 1.0012 | 1.0008 | 0.9981 |
Zhejiang | 1.0270 | 1.0175 | 1.0092 | 1.0001 | Shaanxi | 1.0051 | 1.0206 | 0.9861 | 0.9988 |
Anhui | 0.9896 | 1.0063 | 0.9771 | 1.0065 | Gansu | 1.0213 | 1.0306 | 0.9896 | 1.0013 |
Fujian | 0.9807 | 0.9910 | 0.9746 | 1.0154 | Qinghai | 0.9805 | 0.9910 | 0.9917 | 0.9976 |
Jiangxi | 0.9868 | 0.9989 | 0.9777 | 1.0103 | Ningxia | 0.9879 | 1.0086 | 0.9837 | 0.9957 |
Shandong | 1.0133 | 1.0351 | 0.9874 | 0.9915 | Xinjiang | 1.0187 | 1.0156 | 1.0028 | 1.0002 |
Henan | 1.0002 | 1.0159 | 0.9809 | 1.0036 | Â | Â | Â | Â | Â |
National | 1.0048 | 1.0117 | 0.9923 | 1.0009 | Â | Â | Â | Â | Â |