From: A study of primary health care service efficiency and its spatial correlation in China
Firm | EFFCH | TECHCH | PECH | SECH | TFPCH |
---|---|---|---|---|---|
Beijing | 1 | 1.004 | 1 | 1 | 1.004 |
Tianjin | 0.981 | 0.989 | 1 | 0.981 | 0.969 |
Hebei | 0.981 | 0.981 | 0.977 | 1.004 | 0.963 |
Shanxi | 0.983 | 0.978 | 0.997 | 0.986 | 0.961 |
Inner Mongolia | 0.967 | 0.98 | 0.986 | 0.981 | 0.948 |
Liaoning | 0.982 | 0.981 | 0.993 | 0.989 | 0.963 |
Jilin | 0.954 | 0.984 | 0.975 | 0.978 | 0.939 |
Heilongjiang | 0.954 | 0.971 | 0.973 | 0.981 | 0.927 |
Shanghai | 1 | 0.973 | 1 | 1 | 0.973 |
Jiangsu | 1.009 | 0.99 | 1 | 1.009 | 0.999 |
Zhejiang | 1 | 1.009 | 1 | 1 | 1.009 |
Anhui | 1.01 | 0.991 | 1.001 | 1.009 | 1.001 |
Fujian | 0.99 | 0.961 | 0.993 | 0.997 | 0.952 |
Jiangxi | 0.997 | 0.964 | 0.997 | 1 | 0.961 |
Shandong | 0.996 | 0.984 | 1 | 0.996 | 0.98 |
Henan | 1.009 | 0.983 | 1 | 1.009 | 0.991 |
Hubei | 1.008 | 0.991 | 1.013 | 0.996 | 0.999 |
Hunan | 1.026 | 0.97 | 1.005 | 1.021 | 0.995 |
Guangdong | 0.992 | 0.987 | 1 | 0.992 | 0.98 |
Guangxi | 1.005 | 0.979 | 1 | 1.005 | 0.984 |
Hainan | 0.983 | 0.985 | 0.999 | 0.984 | 0.969 |
Chongqing | 1 | 1.003 | 1 | 1 | 1.003 |
Sichuan | 1.007 | 0.977 | 1 | 1.007 | 0.985 |
Guizhou | 0.961 | 0.958 | 0.963 | 0.998 | 0.921 |
Yunnan | 0.997 | 0.977 | 0.995 | 1.001 | 0.974 |
Xizang | 0.976 | 0.984 | 1.003 | 0.973 | 0.961 |
Shanxi | 0.979 | 0.983 | 0.984 | 0.995 | 0.962 |
Gansu | 0.994 | 0.98 | 1.003 | 0.991 | 0.974 |
Qinghai | 0.971 | 0.955 | 1 | 0.971 | 0.927 |
Ningxia | 0.964 | 0.988 | 1 | 0.964 | 0.952 |
Xinjiang | 0.995 | 0.963 | 0.995 | 1 | 0.958 |
Mean | 0.989 | 0.981 | 0.995 | 0.994 | 0.970 |