Research Article
Measuring Sustainable Development Efficiency of Urban Logistics Industry
Table 4
DEA efficiency level prediction.
| DMUs | Staff | Total logistics | Cargo vehicles | DEA level | Predicted level |
| Nanjing | 56.74 | 1.51191 | 6.877 | 1 | 1 | Wuxi | 57.61 | 1.746375 | 8.9311 | 1 | 1 | Xuzhou | 47.28 | 0.479744 | 8.1255 | 1 | 1 | Changzhou | 31.82 | 1.055296 | 5.6801 | 1 | 1 | Suzhou | 67.31 | 3.91 | 8.6376 | 1 | 1 | Nantong | 33.42 | 1.0565 | 3.5706 | 1 | 1 | Lianyungang | 21.29 | 0.296848 | 2.4646 | 1 | 2 | Huaian | 17.98 | 0.276853 | 2.6159 | 1 | 2 | Yancheng | 19.05 | 0.495022 | 5.0992 | 1 | 1 | Zhenjiang | 14.19 | 0.46013 | 2.8291 | 1 | 2 | Yangzhou | 27.08 | 0.608538 | 3.2299 | 2 | 2 | Taizhou | 16.17 | 0.545014 | 2.6993 | 2 | 2 | Suqian | 19.37 | 0.135026 | 2.1558 | 2 | 2 |
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