Technical efficiency of UK airports

被引:45
作者
Barros, Carlos Pestana [1 ]
机构
[1] Univ Tecn Lisboa, Inst Econ & Gestao, P-1249078 Lisbon, Portugal
关键词
airports; efficiency; random frontier models; policy implications;
D O I
10.1016/j.jairtraman.2008.04.002
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In this paper, the random stochastic frontier model is used to estimate the technical efficiency of UK airports. The airports are ranked according to their productivity for the period 2000-2005 and homogenous and heterogeneous variables in the cost function are disentangled. These changes the ranking of the efficiency of UK airports compared to more conventional measures. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:175 / 178
页数:4
相关论文
共 16 条
[1]   Technical change and productivity growth in airports: A case study [J].
Barros, Carlos Pestana .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2008, 42 (05) :818-832
[2]   PREDICTION OF FIRM-LEVEL TECHNICAL EFFICIENCIES WITH A GENERALIZED FRONTIER PRODUCTION FUNCTION AND PANEL DATA [J].
BATTESE, GE ;
COELLI, TJ .
JOURNAL OF ECONOMETRICS, 1988, 38 (03) :387-399
[3]  
Cornes R., 1992, DUALITY MODERN EC
[4]  
CRUICKSHANK A, SEVERAL YEARS AIRPOR
[5]   Public transit performance: what does one learn from frontier studies? [J].
De Borger, B ;
Kerstens, K ;
Costa, A .
TRANSPORT REVIEWS, 2002, 22 (01) :1-38
[6]   Productivity changes in Chinese airports 1995-2004 [J].
Fung, Michael Ka Yiu ;
Wan, Ken Kai Hong ;
Van Hui, Yer ;
Law, Japhet Sebastian .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2008, 44 (03) :521-542
[7]  
GOURIEROUX C, 1996, SIMULATION BASED MET
[8]   Fixed and random effects in Stochastic frontier models [J].
Greene, W .
JOURNAL OF PRODUCTIVITY ANALYSIS, 2005, 23 (01) :7-32
[9]   Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems [J].
Greene, W .
HEALTH ECONOMICS, 2004, 13 (10) :959-980
[10]   Blockmodels with maximum concentration [J].
Jessop, A .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 148 (01) :56-64