Research Article
Efficiency Evaluation and Influencing Factors Analysis of Logistics Industry based on Multiobjective Intelligent Computing
Table 1
Efficiency measurement and influencing factor index system of logistics industry.
| Indicator type | Metric name | Metric definitions | Unit |
| Input | Labor force | People employed in urban units in the logistics industry | 10,000 people | Capital | Logistics industry total social fixed asset investment | 100 million yuan | Energy | Logistics industry energy consumption | 10,000 tons of standard coal |
| Desirable output | Value added | Logistics industry value added | 100 million yuan | Undesirable output | CO2 emissions | CO2 emissions from the logistics industry | 10,000 tons | Environmental variables | Economic condition | Gross domestic product (GDP) | 100 million yuan | Computerization development level | The mobile phone users at the end of the year | 10,000 households | Industrial market structure | The amount of registered legal entities in the logistics sector | Piece | Import and export | Total import and export | Billion dollars |
| Influencing factors | Urbanization rate | Urban population/total population | % | Government support level | Financial expenditure of the logistics industry/fiscal general budget expenditure | % | Infrastructure level | Length of transportation route/land area | km/km2 | Industrial structure | Added value of tertiary industry/GDP | % | Degree of openness | Total import and export/GDP | % | Logistics transportation intensity | Total turnover of the logistics industry/GDP | Tons of km/yuan | Economic development | Real GDP per capita | Chinese yuan/person |
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