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Heterogeneity in Technical Efficiency of the French Urban Transport: 1995 to 2002

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Author Info
Carlos Pestana Barros
Jean-Pascal Guironnet
Nicolas Peypoch
William Roy

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Abstract

In this paper, we analyze the heterogeneity in the technical efficiency of a sample of French urban transport companies with a translog production frontier model. The model generates efficiency disentangling homogenous and heterogeneous variables. Our study concluded that outputs and inputs play a major role in transport efficiency and we find that the efficiency scores vary along the sample. Policy implication is derived.

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Publisher Info
Paper provided by Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon. in its series Working Papers with number 2008/17.

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Date of creation: Mar 2008
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Handle: RePEc:ise:isegwp:wp172008

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Postal: Department of Economics, School of Economics and Management (ISEG), Technical University of Lisbon, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL
Web page: http://www.iseg.utl.pt/departamentos/economia/

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Related research
Keywords: Urban Transport; France; Translog random Frontier Model and Decision-Making Unit.;

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This paper has been announced in the following NEP Reports: References listed on IDEAS
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  1. Barros, Carlos Pestana & Prieto-Rodriguez, Juan, 2008. "A revenue-neutral tax reform to increase demand for public transport services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 659-672, May. [Downloadable!] (restricted)
  2. Chesher, Andrew D, 1984. "Testing for Neglected Heterogeneity," Econometrica, Econometric Society, vol. 52(4), pages 865-72, July. [Downloadable!] (restricted)
  3. William Greene, 2002. "Fixed and Random Effects in Stochastic Frontier Models," Working Papers 02-16, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
  4. Kerstens, K., 1996. "Technical efficiency measurement and explanation of French urban transit companies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 431-452, November. [Downloadable!] (restricted)
  5. Fuss, Melvyn & McFadden, Daniel & Mundlak, Yair, 1978. "A Survey of Functional Forms in the Economic Analysis of Production," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.), Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 4 McMaster University Archive for the History of Economic Thought. [Downloadable!]
  6. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470. [Downloadable!]
  7. Gagnepain, Philippe & Ivaldi, Marc, 1999. "Incentive Regulatory Policies: The Case of Public Transit Systems in France," IDEI Working Papers 84, Institut d'Économie Industrielle (IDEI), Toulouse. [Downloadable!]
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  8. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June. [Downloadable!] (restricted)
  9. Chesher, Andrew & Santos Silva, J M C, 2002. "Taste Variation in Discrete Choice Models," Review of Economic Studies, Blackwell Publishing, vol. 69(1), pages 147-68, January.
  10. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March. [Downloadable!]
  11. Porter, Michael E, 1979. "The Structure within Industries and Companies' Performance," The Review of Economics and Statistics, MIT Press, vol. 61(2), pages 214-27, May. [Downloadable!] (restricted)
  12. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January. [Downloadable!] (restricted)
  13. Peter Schmidt, 1985. "Frontier production functions," Econometric Reviews, Taylor and Francis Journals, vol. 4(2), pages 289-328. [Downloadable!] (restricted)
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