Research Article
Research on the Impact of Logistics Technology Progress on Employment Structure Based on DEA-Malmquist Method
Table 6
Model regression analysis results.
| | Model | Model (1) | Model (2) | Endogenous treatment (explanatory variables lag one period) |
| | Research variables | Proportion of employees with college degree and above (Y1) | Percentage of nonproductive personnel (Y2) | Proportion of employees with college degree and above (Y1) | Percentage of nonproductive personnel (Y2) | | Constant (C) | 0.440194 (0.016699) | 0.333155 (0.013669) | 0.418368 (0.014612) | 0.331739 (0.00925) | | Technical surgery progress (X1) | 0.022331 (0.081772) | 0.117531 (0.067472) | 0.092411 (0.031450) | 0.092193 (0.066930) | | Enterprise size (X2) | 0.458099 (0.144343) | −0.298354 (0.095644) | 0.441151 (0.141801) | −0.181941 (0.087253) | | Training structure (X3) | 0.058520 (0.155537) | −0.294763 (0.221910) | 0.109641 (0.148890) | 0.005133 (0.095176) | | Salary structure (X4) | 0.235782 (0.159337) | 0.462559 (0.247141) | 0.061670 (0.148312) | −0.131753 (0.096665) | | Adjusted R2 | 0.821132 | 0.726680 | 0.821009 | 0.712306 |
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Note. Represents the 10% significance level, represents the 5% significance level, and represents the 1% significance level. |
