Research Article
Technical and Energy Efficiency of Urban Logistics in China: Empirical Analysis of 216 Prefecture-Level Cities
Table 8
Estimation results of the translog SFA model for energy efficiency.
| | Variables | Estimation of stochastic frontier function | Variables | Estimation of factors influencing energy efficiency based on technical inefficiency function |
| | lny | −0.422 (−3.339) | DIGIT | −0.324 (−16.955) | | lnk | 0.365 (2.229) | ENV | −0.042 (−2.357) | | lnl | −0.076 (−0.662) | GOV | 1.447 (13.259) | | (lny)2 | −0.015 (−0.528) | EDU | −0.155 (−7.899) | | (lnk)2 | −0.037 (−1.396) | DEN | 0.184 (10.029) | | (lnl)2 | 0.078 (3.368) | σ2 | 0.129 (28.697) | | lnylnk | 0.196 (4.822) | | | | lnylnl | −0.187 (−4..57) | | | | lnklnl | 0.102 (2.722) | | |
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Notes: , , and denote statistical significance at 10%, 5%, and 1% levels, respectively. |
