Research Article
Technical and Energy Efficiency of Urban Logistics in China: Empirical Analysis of 216 Prefecture-Level Cities
Table 9
Estimation results of the Cobb–Douglas and translog SFA model with density variables.
| | Variables | Cobb–Douglas SFA | Translog SFA | Translog SFA with impact factors | Translog SFA with impact factors |
| | Constant | −0.772 (−4.611) | 0.728 (1.154) | −0.449 (−0.591) | −4.458 (−4.626) | | lnK | 0.397 (14.01) | −0.093 (−0.436) | 0.047 (0.204) | −0.989 (−3.92) | | lnL | 0.132 (6.332) | 0.647 (4.057) | 0.571 (3.016) | 1.121 (3.607) | | (lnk)2 | | 0.081 (2.288) | 0.032 (0.85) | −0.635 (−2.57) | | (lnl)2 | | 0.036 (1.481) | 0.029 (0.891) | −0.066 (2.525) | | lnKlnL | | −0.168 (−3.17) | −0.05 (−0.805) | −0.224 (−4.369) | | Lny | | | | 0.264 (5.479) | | (lny)2 | | | | 0.227 (2.767) | | lnylnk | | | | −0.295 (−3.173) | | lnylnl | | | | 0.146 (1.67) | | DIGIT | | | 0.215 (7.678) | −1.274 (−40.087) | | ENV | | | 0.208 (5.693) | −0.115 (−3.196) | | GOV | | | 1.11 (4.65) | 1.489 (5.407) | | EDU | | | 0.037 (0.972) | −0.265 (−6.118) | | DEN | | | −0.777 (−14.057) | 0.57 (11.119) | | Sigma-squared | 0.0.758 (12.039) | 0.768 (11.388) | 0.407(21.416) | 0.513 (26.216) | | Gamma | 0.904 (183.011) | 0.906 (172.702) | 0.153 (0.985) | 0.016 (0.355) | | Mu | 1.656 (15.195) | 1.668 (14.706) | | | | Eta | 0.01 (5.111) | 0.011 (7.035) | | | | LLP | −721.105 | −715.597 | −1858.923 | −2104.425 | | Λ | 11.015 |
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Notes: , , and denote statistical significance at 10%, 5%, and 1% levels, respectively. |
