Research Article
Efficiency Evaluation and Influencing Factors Analysis of Logistics Industry based on Multiobjective Intelligent Computing
Table 7
Regression results of influencing factors on logistics industry efficiency.
| | Coef. | Std. Err. | z | P > z |
| Urbanization rate | −3.5985 | 1.121 | −3.21 | 0.001 | Government support level | −0.4964 | 0.588 | −0.84 | 0.398 | Infrastructure level | −0.3267 | 0.187 | −1.75 | 0.081 | Industrial structure | 0.5721 | 0.467 | 1.23 | 0.22 | Degree of openness | −0.5664 | 0.305 | −1.86 | 0.063 | Logistics transportation intensity | 1.0097 | 0.192 | 5.25 | 0 | Economic development (take logs) | 0.5113 | 0.169 | 3.02 | 0.003 | Constant term | −2.9876 | 1.247 | −2.4 | 0.017 | Log likelihood | 34.2272 | | | | Prob > chi2 | 0 | | | |
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Note., , indicate significant at 10%, 5%, and 1%, respectively. |