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Potential Gains from Mergers in Local Public Transport: An Efficiency Analysis Applied to Germany

  • Matthias Walter
  • Astrid Cullmann

We analyze potential gains from hypothetical mergers in local public transport using the non-parametric Data Envelopment Analysis with bias corrections by means of bootstrapping. Our sample consists of 41 public transport companies from Germany's most densely populated region, North Rhine-Westphalia. We merge them into geographically meaningful, larger units that operate partially on a joint tram network. Merger gains are then decomposed into individual technical efficiency, synergy and size effects following the methodology of Bogetoft and Wang [Bogetoft, P., Wang, D., 2005. Estimating the Potential Gains from Mergers. Journal of Productivity Analysis, 23(2), 145-171]. Our empirical findings suggest that substantial gains up to 16 percent of factor inputs are present, mainly resulting from synergy effects.

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File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.89947.de/dp832.pdf
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Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 832.

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Length: 35 p.
Date of creation: 2008
Date of revision:
Handle: RePEc:diw:diwwpp:dp832
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  1. Simar, L. & Wilson, P.W., 1998. "A General Methodology for Bootstrapping in Nonparametric Frontier Models," Papers 9811, Catholique de Louvain - Institut de statistique.
  2. Kneip, Alois & Park, Byeong U. & Simar, L opold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(06), pages 783-793, December.
  3. Bogetoft, Peter & Wang, Dexiang, 2003. "Estimating the Potential Gains from Mergers," Unit of Economics Working papers 24213, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
  4. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Economies of Scale and Scope in Local Public Transportation," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 41(3), pages 345-361, September.
  5. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  6. Tsybakov, A.B. & Korostelev, A.P. & Simar, L., 1992. "Efficient Estimation of Monotone Boundaries," Papers 9209, Catholique de Louvain - Institut de statistique.
  7. Christian von Hirschhausen & Astrid Cullmann, 2008. "Next Stop: Restructuring?: A Nonparametric Efficiency Analysis of German Public Transport Companies," Discussion Papers of DIW Berlin 831, DIW Berlin, German Institute for Economic Research.
  8. Alfons Oude Lansink & Ky–sti Pietola, 2002. "Effciency and productivity of conventional and organic farms in Finland 1994--1997," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 29(1), pages 51-66, March.
  9. Simar, L. & Wilson, P.W., . "Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models," CORE Discussion Papers RP 1304, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  10. Necmiddin Bagdadioglu & Catherine Waddams Price & Thomas Weyman-Jones, 2007. "Measuring Potential Gains from Mergers among Electricity Distribution Companies in Turkey using a Non-Parametric Model," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 83-110.
  11. 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.
  12. Rajiv D. Banker & Richard C. Morey, 1986. "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, INFORMS, vol. 32(12), pages 1613-1627, December.
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