Research Article
Efficiency Evaluation and Influencing Factors Analysis of Logistics Industry based on Multiobjective Intelligent Computing
Table 5
SFA regression results in the second stage.
| | Variable | Slack variable in capital stock | Employee slack variable | Slack variable in energy consumption |
| | Constant term | −550.08 (−1.58) | 12.75 (0.9) | 8.63 (0.5) | | GDP | −12170.52(−15.18) | −421.26(−1.74) | −2824.5(−6.7) | | The mobile phone users at the end of the year | 78220.58(177.01) | −599.99(−2.74) | 2161.98(5.13) | | The amount of registered legal entities in the logistics sector | −1778.34(−4.29) | −415.43(−0.71) | 3468.94(4.95) | | Total import and export | 296.32(0.34) | 415.78(6.41) | 231.79(3.01) | | Sigma-squared | 6601762.7(2627652.00) | 13050.99(66.78) | 36212.3(6556.07) | | Gamma | 0.53(7.65) | 0.58(10.71) | 0.73(20.83) | | Log likelihood function | −1076.76 | −717.98 | −740.05 | | LR test of the one-sided error | 34.03 | 31.77 | 57.28 |
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Note., , indicate significant at 10%, 5%, and 1%, respectively, with the t-value enclosed in brackets. |
