Research Article
Efficiency Evaluation and Influencing Factors Analysis of Logistics Industry based on Multiobjective Intelligent Computing
Table 6
Third-stage logistics industry efficiency.
| Province | Technical efficiency | Ranking | Pure technical efficiency | Ranking | Scale efficiency | Ranking |
| Inner Mongolia | 1 | 1 | 1 | 1 | 1 | 1 | Guangxi | 0.904 | 4 | 0.976 | 7 | 0.926 | 4 | Hainan | 0.401 | 11 | 0.979 | 6 | 0.409 | 11 | Chongqing | 0.917 | 3 | 0.961 | 8 | 0.953 | 3 | Sichuan | 0.792 | 6 | 0.931 | 10 | 0.860 | 6 | Guizhou | 0.704 | 7 | 0.955 | 9 | 0.738 | 7 | Yunnan | 0.795 | 5 | 0.899 | 12 | 0.886 | 5 | Shaanxi | 0.969 | 2 | 0.984 | 5 | 0.985 | 2 | Gansu | 0.701 | 8 | 0.989 | 4 | 0.708 | 9 | Qinghai | 0.259 | 12 | 0.997 | 3 | 0.259 | 12 | Ningxia | 0.697 | 9 | 1 | 1 | 0.697 | 10 | Xinjiang | 0.665 | 10 | 0.921 | 11 | 0.723 | 8 | Maximum | 1 | 1 | 1 | Minimum | 0.259 | 0.899 | 0.259 | Average | 0.734 | 0.966 | 0.762 |
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Note. Provincial averages for technical efficiency, pure technical efficiency, and scale efficiency range from 2010 to 2019.
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