Research Article
Technical and Energy Efficiency of Urban Logistics in China: Empirical Analysis of 216 Prefecture-Level Cities
Table 6
Estimation results of the translog SFA model for samples stratified by regions.
| | Variables | Model 10 (eastern region) | Model 11 (central region) | Model 12 (western region) |
| | Estimation of stochastic frontier function | | Lnk | 0.629 (2.075) | −0.59 (1.638) | −0.744 (−2.223) | | Lnl | −1.723 (−5.197) | 0.486 (1.668) | 0.219 (0.925) | | (lnk)2 | −0.122 (−2.498) | 0.1 (1.696) | 0.167 (2.988) | | (lnl)2 | −0.423 (−7.395) | −0.045 (−0.751) | 0.111 (2.132) | | lnklnl | 0.696 (6.66) | −0.091 (−0.917) | −0.066 (−0.873) |
| | Estimation of factors influencing efficiency based on technical inefficiency function | | DIGIT | −0.2966 (−5.238) | −0.397 (−6.086) | −0.37 (−5.656) | | ENV | −0.089 (−1.176) | 0.18 (3.219) | 0.043 (0.654) | | GOV | 2.737 (3.746) | −1.257 (−2.783) | 0.637 (2.423) | | EDU | −0.483 (7.923) | −0.237 (−3.432) | −0.136 (−1.656) | | DEN | −0.759 (−6.533) | −0.663 (−11.515) | 0.085 (1.368) | | σ2 | 0.187 (6.982) | 7.41 (11.022) | 0.338 (9.933) |
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Notes: , , and denote statistical significance at 10%, 5%, and 1% levels, respectively. |
