Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/28219
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dc.contributor.authorWetzel, Heikeen_US
dc.date.accessioned2008-11-06en_US
dc.date.accessioned2009-10-01T15:02:33Z-
dc.date.available2009-10-01T15:02:33Z-
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/10419/28219-
dc.description.abstractThis paper analyzes the performance of the European railway sector in the period of deregulation (1990-2005). Using a stochastic frontier panel data model that controls for unobserved heterogeneity a multiple-output multipleinput distance function model is estimated in order to evaluate the sources of productivity growth: technological progress, technical efficiency change and scale effects. The results indicate that technology improvements were by far the most important driver of productivity growth, followed by gains in technical efficiency, and to a lesser extent by exploitation of scale economies. Overall, we find an average productivity growth of 39 per cent within the sample period.en_US
dc.language.isoengen_US
dc.publisher|aLeuphana-Univ.|cLüneburgen_US
dc.relation.ispartofseries|aUniversity of Lüneburg Working Paper Series in Economics|x101en_US
dc.subject.jelD24en_US
dc.subject.jelL51en_US
dc.subject.jelL92en_US
dc.subject.ddc330en_US
dc.subject.keywordEuropean railwaysen_US
dc.subject.keywordderegulationen_US
dc.subject.keywordstochastic frontier analysisen_US
dc.subject.keywordtotal factor productivityen_US
dc.titleProductivity growth in European railways: technological progress, efficiency change and scale effectsen_US
dc.type|aWorking Paperen_US
dc.identifier.ppn584532717en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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