Cost efficiency of African airports using a finite mixture model

被引：15

作者：

Barros, Carlos Pestana ^{[1
,2
,3
]}

机构：

[1] Univ Tecn Lisboa, Inst Super Econ & Gestao, P-1249078 Lisbon, Portugal

[2] Univ Tecn Lisboa, UECE Res Unit Complex & Econ, P-1249078 Lisbon, Portugal

[3] Univ Tecn Lisboa, CESA Ctr African & Dev Studies, P-1249078 Lisbon, Portugal

来源：

TRANSPORT POLICY | 2011年 / 18卷 / 06期

关键词：

Africa; Airports; Stochastic cost frontier; Latent class model; Technical efficiency; Panel data; DATA ENVELOPMENT ANALYSIS; FRONTIER PRODUCTION FUNCTION; MAJOR AIRPORTS; PANEL-DATA; PERFORMANCE EVALUATION; PRODUCTIVITY GROWTH; BENCHMARKING; DEA; HETEROGENEITY; PRIVATIZATION;

D O I：

10.1016/j.tranpol.2011.05.001

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper evaluates the operational activities of African airports using a finite mixture model that allows us to control for unobserved heterogeneity. In doing so, a stochastic frontier latent class model, which allows for the existence of different technologies, is adopted to estimate cost frontiers. This procedure not only enables us to identify different groups of African airports analysed from Angola and Mozambique, but also permits the analysis of their cost efficiency. The main result is that three groups are identified in the sample, each equipped with completely different "technologies", suggesting that distinct business strategies need to be adapted to the characteristics of the airports. Some managerial implications are developed. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：807 / 813

页数：7

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