An Efficiency Analysis of European Countries' Railways
This study uses stochastic frontier analysis for estimating efficiencies of railways systems in European countries. We consider railways as a system which uses its infrastructure (length of lines worked, numbers of cars and wagons, staff strength) and a scale of market (number of habitants and tourists) for transporting passengers and freights. We estimate efficiencies of freight and passenger transportations separately on the base of different models. We use the database provided by International Union of Railways, which includes annual statistical data about biggest European railways companies from 1997 to 2006 to estimate model parameters. Railways systems show huge variations in technical efficiency between different countries and also between freight and passenger transportation within the same country. The study also contains the analysis of dependencies between calculated railways efficiency estimates and popular economic indicators.
|Date of creation:||24 Aug 2008|
|Publication status:||Published in Proceedings of the 8th International Conference Reliability and Statistics in Transportation and Communication (2008): pp. 229-236|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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- Mette Asmild & Torben Holvad & Jens Hougaard & Dorte Kronborg, 2009.
"Railway reforms: do they influence operating efficiency?,"
Springer, vol. 36(5), pages 617-638, September.
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- Heike Wetzel, 2008. "European Railway Deregulation: The Influence of Regulatory and Environmental Conditions on Efficiency," Working Paper Series in Economics 86, University of Lüneburg, Institute of Economics.
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- José Manuel Pastor Monsálvez & Lorenzo Serrano Martínez & Pedro Cantos, 2002. "Cost And Revenue Inefficiencies In The European Railways," Working Papers. Serie EC 2002-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
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