Calculation results of average input–output relative efficiency of ten representative provinces (cities) from 2011 to 2020
| Province (city) | Crste | Ranking | Vrste | Ranking | Scale | Ranking |
|---|---|---|---|---|---|---|
| Beijing | 0.8338 | 10 | 0.9132 | 8 | 0.9131 | 7 |
| Guangdong | 0.8907 | 6 | 0.9812 | 5 | 0.909 | 8 |
| Jiangsu | 0.9995 | 2 | 0.9997 | 2 | 0.9998 | 2 |
| Zhejiang | 0.8902 | 7 | 0.8995 | 10 | 0.9896 | 3 |
| Shanghai | 0.8815 | 8 | 0.9052 | 9 | 0.9742 | 5 |
| Shandong | 1 | 1 | 1 | 1 | 1 | 1 |
| Hubei | 0.955 | 3 | 0.9763 | 6 | 0.9773 | 4 |
| Anhui | 0.8995 | 4 | 0.9726 | 7 | 0.9243 | 6 |
| Sichuan | 0.876 | 9 | 0.9967 | 3 | 0.8789 | 10 |
| Tianjin | 0.892 | 5 | 0.989 | 4 | 0.9028 | 9 |
| Province (city) | Crste | Ranking | Vrste | Ranking | Scale | Ranking |
|---|---|---|---|---|---|---|
| Beijing | 0.8338 | 10 | 0.9132 | 8 | 0.9131 | 7 |
| Guangdong | 0.8907 | 6 | 0.9812 | 5 | 0.909 | 8 |
| Jiangsu | 0.9995 | 2 | 0.9997 | 2 | 0.9998 | 2 |
| Zhejiang | 0.8902 | 7 | 0.8995 | 10 | 0.9896 | 3 |
| Shanghai | 0.8815 | 8 | 0.9052 | 9 | 0.9742 | 5 |
| Shandong | 1 | 1 | 1 | 1 | 1 | 1 |
| Hubei | 0.955 | 3 | 0.9763 | 6 | 0.9773 | 4 |
| Anhui | 0.8995 | 4 | 0.9726 | 7 | 0.9243 | 6 |
| Sichuan | 0.876 | 9 | 0.9967 | 3 | 0.8789 | 10 |
| Tianjin | 0.892 | 5 | 0.989 | 4 | 0.9028 | 9 |
Notes:
“Crste” represents the comprehensive technical efficiency level, “Vrste” represents the pure technical efficiency level, “Scale” represents the scale efficiency level. The same below
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