Größenvorteile im deutschen ÖSPV – Eine empirische Analyse
In this paper we present an efficiency analysis of bus transport companies in Germany. It is focused on the calculation of scale efficiencies in order to identify possible economies of sca-le in the German bus transport market. For this purpose, we apply data envelopment analy-sis (DEA). As DEA is a determintistic method, bootstrapping procedures are applied to test for global and individual returns to scale. We find that small bus transport companies achieve economies of scale by extending their size.
|Date of creation:||Dec 2009|
|Contact details of provider:|| Postal: Universitätsstr. 14-16, 48143 Münster|
Phone: 02 51 / 83-2 29 10
Fax: 02 51 / 83-2 83 99
Web page: https://www.wiwi.uni-muenster.de/ivm/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Leopold Simar & Paul Wilson, 2000.
"A general methodology for bootstrapping in non-parametric frontier models,"
Journal of Applied Statistics,
Taylor & Francis Journals, vol. 27(6), pages 779-802.
- Simar, L. & Wilson, P.W., 1998. "A General Methodology for Bootstrapping in Nonparametric Frontier Models," Papers 9811, Catholique de Louvain - Institut de statistique.
- Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
- von Hirschhausen, Christian & Cullmann, Astrid, 2010. "A nonparametric efficiency analysis of German public transport companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 436-445, May.
- Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
- Simar, L. & Wilson, P.W., 1999.
"Statistical Inference in Nonparametric Frontier Models: the State of the Art,"
9904, Catholique de Louvain - Institut de statistique.
- Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
- R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- DE BORGER, Bruno & KERSTENS, Kristiaan & COSTA, Álvaro, . "Public transit performance: What do we learn from frontier studies?," Working Papers 2000019, University of Antwerp, Faculty of Applied Economics.
When requesting a correction, please mention this item's handle: RePEc:mut:wpaper:13. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Birgit Rueschenschmidt)
If references are entirely missing, you can add them using this form.