Mathematical Problems in Engineering / 2020 / Article / Tab 8

Research Article

Research on the Impact of Logistics Technology Progress on Employment Structure Based on DEA-Malmquist Method

Table 8

Regression analysis results of each logistics segment industry model.

Research study variablesSubdivided industryModel (3)Model (4)
Proportion of employees with college degree and above (Y1)Percentage of nonproductive personnel (Y2)

Constant CiAir transport industry0.5929900.470530
Road transport industry0.3430110.337696
Water transport industry0.3910890.265077
Skill improved X1iAir transport industry0.394020−0.132142
Road transport industry0.0965920.284305
Water transport industry0.0445840.011655
Enterprise size X2iAir transport industry0.323837−0.318394
Road transport industry1.4993440.488669
Water transport industry0.487271−0.553805
Training structure X3iAir transport industry0.036073−0.103128
Road transport industry0.3897980.408890
Water transport industry0.242129−0.787076
Salary structure X4iAir transport industry0.1305680.020490
Road transport industry3.757804−2.709841
Water transport industry0.8650812.224235

Note. X1i, X2i, X3i, and X4i in the table represent three different subindustries corresponding to technological progress, enterprise scale, training structure, and work structure variables, respectively. For example, X11 represents the technological progress of the air transport industry, where i = 1, 2, 3. In addition, and indicate the significance level of 10%, 5%, and 1%, respectively.

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