Research Article
Efficiency Evaluation and Influencing Factors Analysis of Logistics Industry based on Multiobjective Intelligent Computing
Table 2
Descriptive statistics of the efficiency measurement and influencing factors.
| | Indicator type | Metric name | Sample size | Average value | Standard deviation | Minimum | Maximum |
| | Input | Labor force (100 million yuan) | 120 | 7893.05 | 5676.19 | 1188.36 | 29314.7 | | Capital (10,000 people) | 120 | 342.86 | 259.79 | 46.5 | 1175.5 | | Energy (10,000 tons of standard coal) | 120 | 728.79 | 391.62 | 110.77 | 1715.84 |
| | Desirable output | Value added (100 million yuan) | 120 | 533.16 | 330.82 | 70.7 | 1473.1 | | Undesirable outputs | CO2 emissions (10,000 tons) | 120 | 1793.21 | 958.19 | 285.35 | 4083.73 | | Environment elements | Economic condition (100 million yuan) | 120 | 10829.42 | 8099.97 | 1144.2 | 43169.27 | | Computerization development level (10,000 households) | 120 | 2670.01 | 1800.94 | 290.3 | 9443.5 | | Industrial market structure (piece) | 120 | 5623.53 | 4161.65 | 471 | 19283 | | Import and export (billion dollars) | 120 | 241.01 | 235.78 | 5.45 | 984.01 |
| | Influencing factors | Urbanization rate (%) | 120 | 0.5 | 0.07 | 0.34 | 0.67 | | Government support level (%) | 120 | 0.08 | 0.02 | 0.04 | 0.16 | | Infrastructure level (km/km2) | 120 | 0.62 | 0.46 | 0.09 | 2.20 | | Industrial structure (%) | 120 | 0.51 | 0.05 | 0.35 | 0.63 | | Degree of openness (%) | 120 | 0.12 | 0.09 | 0.01 | 0.44 | | Logistics transportation intensity (tons km/yuan) | 120 | 0.26 | 0.14 | 0.06 | 0.65 | | Economic development (yuan/person) | 120 | 35137.26 | 12264.26 | 12882.00 | 71333.96 |
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