| Region | Comprehensive efficiency | Pure technical efficiency | Scale efficiency | Ranking | Region | Comprehensive efficiency | Pure technical efficiency | Scale efficiency | Ranking |
| Beijing | 0.792 | 0.884 | 0.895 | 11 | Ancient Inner Mongolia | 0.826 | 0.933 | 0.883 | 10 |
| Tianjin | 0.882 | 1.000 | 0.882 | 6 | Guangxi | 0.529 | 0.745 | 0.710 | 20 |
| Hebei | 1.000 | 1.000 | 1.000 | 1 | Chongqing | 0.474 | 0.682 | 0.697 | 24 |
| Shanghai | 0.963 | 0.998 | 0.965 | 3 | Sichuan | 0.439 | 0.537 | 0.817 | 25 |
| Jiangsu | 0.994 | 1.000 | 0.994 | 2 | Guizhou | 0.725 | 0.958 | 0.753 | 14 |
| Zhejiang | 0.769 | 0.818 | 0.940 | 12 | Yunnan | 0.276 | 0.565 | 0.475 | 29 |
| Fujian | 0.855 | 0.934 | 0.913 | 8 | Xizang | 0.069 | 1.000 | 0.069 | 31 |
| Shandong | 0.917 | 0.974 | 0.942 | 5 | Shaanxi | 0.479 | 0.652 | 0.733 | 23 |
| Guangdong | 0.871 | 0.961 | 0.910 | 7 | Gansu | 0.385 | 0.784 | 0.485 | 26 |
| Hainan | 0.294 | 0.998 | 0.295 | 28 | Qinghai | 0.158 | 0.934 | 0.169 | 30 |
| Shanxi | 0.749 | 0.878 | 0.846 | 13 | Ningxia | 0.364 | 1.000 | 0.364 | 27 |
| Anhui | 0.617 | 0.788 | 0.781 | 17 | Xinjiang | 0.507 | 0.796 | 0.633 | 21 |
| Jiangxi | 0.710 | 0.918 | 0.773 | 15 | Liaoning | 0.927 | 0.950 | 0.974 | 4 |
| Henan | 0.839 | 0.886 | 0.947 | 9 | Jilin | 0.501 | 0.786 | 0.637 | 22 |
| Hubei | 0.567 | 0.655 | 0.866 | 19 | Heilongjiang | 0.581 | 0.774 | 0.747 | 18 |
| Hunan | 0.693 | 0.795 | 0.870 | 16 | Mean value | 0.637 | 0.858 | 0.741 |
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