Author: Erwin Lin 1
View More View Less
  • 1 MingDao University, Peetou Township, Changhua County, Taiwan
Restricted access

Purchase article

USD  $25.00

1 year subscription (Individual Only)

USD  $700.00

In practice, input congestion effects appear in railway transport due to the difficulties of disposing of unnecessary input factors. This study measures the output-oriented technical efficiency and input congestion with consideration of categorical variables for railway transport by using the DEA extension approach. The empirical results from 24 European railway companies show that in 12 railways, the presence of weak congestion can be proved. Based on the results of identifying the source(s) of input congestion and further determining its amount, one can obtain more insights into railways’ operation and thus propose more effective strategies for improvement.

  • Ali, A. I.Seiford, L. M. (1993): The Mathematical Programming Approach to Efficiency Analysis. In: Fried, H. O.Lovell, C. A. K.Schmidt, S. S. (eds): The Measurement of Productive Efficiency: Techniques and Applications. Boston: Oxford University Press, pp. 120159.

    • Search Google Scholar
    • Export Citation
  • Banker, R. D.Charnes, A.Cooper, W. W. (1984): Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30: 10781092.

    • Search Google Scholar
    • Export Citation
  • Banker, R. D.Morey, R. C. (1986a): Efficiency Analysis for Exogenously Fixed Inputs and Outputs. Operations Research, 34(4): 513521.

    • Search Google Scholar
    • Export Citation
  • Banker, R. D.Morey, R. C. (1986b): The Use of Categorical Variables in Data Envelopment Analysis. Management Science, 32(12): 16131627.

    • Search Google Scholar
    • Export Citation
  • Bookbinder, J. H.Qu, W. W. (1993): Comparing the Performance of Major American Railroads. Transportation Research Forum, 33(1): 7085.

    • Search Google Scholar
    • Export Citation
  • Brockett, P. L.Cooper, W. W.Wang, Y.Shin, H. (1998): Inefficiency and Congestion in Chinese Production before and after the 1978 Economic Reform. Socio-Economic Planning Science, 32(1): 120.

    • Search Google Scholar
    • Export Citation
  • Chapin, A.Schmidt, S. (1999): Do Mergers Improve Efficiency? Journal of Transport Economics and Policy, 33(2): 147162.

  • Charnes, A.Cooper, W. W.Rhodes, E. (1978): Measuring the Efficiency of Decision Making Units. European Journal Operational Research, 2(6): 429444.

    • Search Google Scholar
    • Export Citation
  • Cooper, W. W.Gu, B.Li, S. (2001): Comparisons and Evaluations of Alternative Approaches to the Treatment of Congestion in DEA. European Journal of Operational Research, 132(1): 6274.

    • Search Google Scholar
    • Export Citation
  • Cooper, W. W.Thompson, R. G.Thrall, R. M. (1996): Introduction: Extension and New Developments in DEA. Annals of Operations Research, 66(1): 345.

    • Search Google Scholar
    • Export Citation
  • Cowie, J. (1999): The Technical Efficiency of Public and Private Ownership in the Rail Industry. Journal of Transport Economics and Policy, 33: 241252.

    • Search Google Scholar
    • Export Citation
  • Färe, R.Grosskopf, S.Lovell, C. A. K. (1985): The Measurement of Efficiency of Production. Boston: Kluwer-Nijhoff Publishing.

  • Färe, R.Svensson, L. (1980): Congestion of Production Factors: Econometrica, 48: 17451753.

  • Førsund, F. R. (2001): Categorical Variables in DEA. Working Paper, Department of Economics, University of Oslo, Norway.

  • Kao, C. (2010): Congestion Measurement and Elimination under the Framework of Data Envelopment Analysis. International Journal of Production Economics, 123(2): 257265.

    • Search Google Scholar
    • Export Citation
  • Lan, L. W.Lin, E. T. J. (2005): Measuring Railway Performance with Adjustment of Environmental Effects, Data Noise and Slacks. Transportmetrica, 1: 161189.

    • Search Google Scholar
    • Export Citation
  • Lan, L. W.Lin, E. T. J. (2006): Performance Measurement for Railway Transport: Stochastic Distance Functions with Inefficiency and Ineffectiveness Effects. Journal of Transport Economics and Policy, 40: 383408.

    • Search Google Scholar
    • Export Citation
  • Odeck, J. (2006): Congestion, Ownership, Region of Operation, and Scale: Their Impact on Bus Operator Performance in Norway. Socio-Economic Planning Science, 40: 5269.

    • Search Google Scholar
    • Export Citation
  • Oum, T. H.Yu, C. (1994): Economic Efficiency of Railways and Implications for Public Policy. Journal of Transport Economics and Policy, 28: 121138.

    • Search Google Scholar
    • Export Citation
  • Ruggiero, J. (1996): On the Measurement of Technical Efficiency in the Public Sector. European Journal of Operational Research, 90: 553565.

    • Search Google Scholar
    • Export Citation
  • Ruggiero, J. (1998): Non-Discretionary Inputs in Data Envelopment Analysis. European Journal of Operational Research, 111: 461469.

  • Tone, K.Sahoo, B. K. (2004): Degree of Scale Economies and Congestion: A Unified DEA Approach. European Journal of Operational Research, 158: 755772.

    • Search Google Scholar
    • Export Citation
  • UIC (2010): International Railway Statistics: Year of 2008. International Railway Union, Paris.

  • Viton, P. A. (1997): Technical Efficiency in Multi-mode Bus Transit: A Production Frontier Analysis. Transportation Research Part B, 31: 2339

    • Search Google Scholar
    • Export Citation
  • Yu, M. M. (2008): Assessing the Technical Efficiency, Service Effectiveness, and Technical Effectiveness of the World’s Railways through NDEA Analysis. Transportation Research Part A: Policy and Practice, 42: 12831294.

    • Search Google Scholar
    • Export Citation