Research Article
Technical and Energy Efficiency of Urban Logistics in China: Empirical Analysis of 216 Prefecture-Level Cities
Table 2
Estimation results of translog SFA without impact factors.
| | Variables | Model 1 (no time lag) | Model 2 (1-year lag) | Model 3 (2-year lag) | Model 4 (3-year lag) | Model 5 |
| | Constant | 0.603 (1.168) | 2.713 (3.613) | 3.112 (4.065) | 4.126 (5.735) | 0.929 (1.593) | | lnK | 0.004 (0.022) | −0.674 (−2.549) | −0.767 (−2.894) | −1.11 (−4.455) | −0.186 (−0.924) | | lnL | 0.096 (4.556) | 0.375 (2.413) | 0.255 (1.682) | 0.329 (2.087) | 0.07 (2.802) | | (lnK)2 | 0.021 (1.561) | 0.077 (3.48) | 0.085 (3.74) | 0.115 (5.148) | 0.033 (1.961) | | (lnL)2 | −0.019 (−1.818) | 0.013 (0.951) | 0.003 (0.232) | −0.003 (−0.18) | −0.001 (−0.049) | | lnKlnL | 0.008 (0.423) | −0.057 (−2.202) | −0.043 (−1.665) | −0.049 (−1.816) | −0.017 (−0.868) | | T | | | | | 0.121 (4.277) | | t2 | | | | | −0.011 (−9.821) | | lnKt | | | | | 0.006 (1.26) | | lnKt | | | | | −0.009 (−2.437) | | σ2 | 0.516 (10.851) | 0.555 (9.696) | 0.611 (9.815) | 0.643 (11.977) | 0.638 (13.054) | | γ | 0.861 (90.69) | 0.884 (114.383) | 0.901 (148.639) | 0.918 (216.11) | 0.899 (152.075) | | mu | 1.333 (10.216) | 1.401 (9.486) | 1.484 (14.067) | 1.536 (16.248) | 1.515 (12.888) | | η | 0.019 (7.334) | 0.017 (9.182) | 0.01 (3.83) | 0.001 (0.392) | −0.004 (−0.865) | | LLPH1 | −629.88 | −539.954 | −473.847 | −391.677 | −562.041 |
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Notes: , , and denote statistical significance at 10%, 5%, and 1% levels, respectively; t value is in parentheses. |
