A stochastic frontier analysis to estimate the relative efficiency of Spanish airports

被引：53
|
作者：
Martin, Juan Carlos [1 ]
Roman, Concepcion [1 ]
Voltes-Dorta, Augusto [1 ]
机构：
[1] Univ Las Palmas Gran Canaria, Las Palmas Gran Canaria 35017, Spain
来源：
JOURNAL OF PRODUCTIVITY ANALYSIS | 2009年 / 31卷 / 03期
关键词：
Airport efficiency; Stochastic frontier; Bayesian inference; Markov chain Monte Carlo; DATA ENVELOPMENT ANALYSIS; ALLOCATIVE INEFFICIENCY; TECHNICAL EFFICIENCY; COST FUNCTION; BENCHMARKING; DEA; PRODUCTIVITY; PERFORMANCE; MODELS; ERROR;
D O I：
10.1007/s11123-008-0126-2
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
There exists a common belief among researchers and regional policy makers that the actual central system of Aeropuertos EspaA +/- oles y NavegaciA(3)n A,rea (AENA) should be changed to one more decentralized where airport managers could have more autonomy. The main objective of this article is to evaluate the efficiency of the Spanish airports using Markov chain Monte Carlo (MCMC) simulation to estimate a stochastic frontier analysis (SFA) model. Our results show the existence of a significant level of inefficiency in airport operations. Additionally, we provide efficient marginal cost estimates for each airport which also cast some doubts about the current pricing practices.
引用
收藏
页码：163 / 176
页数：14
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