IDEAS home Printed from https://ideas.repec.org/p/cor/louvrp/1323.html
   My bibliography  Save this paper

Radial and nonradial static efficiency decompositions: a focus on congestion measurement

Author

Listed:
  • DERVAUX, Benoît
  • KERSTENS, Kristiaan
  • VANDEN EECKAUT, Philippe

Abstract

We summarize and extend the existing frontier literature by outlining proper ways of decomposing efficiency using both radial and nonradial efficiency measures when using nonparametric, deterministic frontier models. Our contribution relates to a recent paper of Viton (Transportation Research-B 31, 23-39, 1997) analysing the efficiency of U.S. multi-mode bus transit systems. In particular, the author evaluates the technical efficiency, congestion and scale properties of these companies. Due to a methodological mistake he could not detect congestion in his sample. Our proposals remedy this problem and focus on the underexplored issue of proper congestion measurement in general and in transport in particular.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • DERVAUX, Benoît & KERSTENS, Kristiaan & VANDEN EECKAUT, Philippe, 1998. "Radial and nonradial static efficiency decompositions: a focus on congestion measurement," CORE Discussion Papers RP 1323, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:1323 Note: In : Transportation Research-B, 32(5), 299-312, 1998
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1016/S0191-2615(98)00002-2
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ferrier, G. D. & Kerstens, K. & Vanden Eeckaut, P., 1994. "Radial and nonradial technical efficiency measures on a DEA reference technology: a comparison using US banking data," CORE Discussion Papers RP 1156, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. John McDonald, 1996. "Note: A Problem with the Decomposition of Technical Inefficiency into Scale and Congestion Components," Management Science, INFORMS, vol. 42(3), pages 473-474, March.
    3. Patricia Byrnes & Rolf Färe & Shawna Grosskopf & C. A. Knox Lovell, 1988. "The Effect of Unions on Productivity: U.S. Surface Mining of Coal," Management Science, INFORMS, vol. 34(9), pages 1037-1053, September.
    4. Isabelle Piot-Lepetit & Dominique Vermersch & Robert Weaver, 1997. "Agriculture's environmental externalities: DEA evidence for French agriculture," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 331-338.
    5. Fare, Rolf & Grosskopf, Shawna & Lovell, C A Knox, 1983. " The Structure of Technical Efficiency," Scandinavian Journal of Economics, Wiley Blackwell, vol. 85(2), pages 181-190.
    6. Marchand, M. & Mintz, J. & Pestieau, P., 1984. "Shadow pricing of labour and capital in an economy with unemployed labour," European Economic Review, Elsevier, vol. 25(2), pages 239-252, July.
    7. Chu, Xuehao & Fielding, Gordon J. & Lamar, Bruce W., 1992. "Measuring transit performance using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 26(3), pages 223-230, May.
    8. Zieschang, Kimberly D., 1984. "An extended farrell technical efficiency measure," Journal of Economic Theory, Elsevier, vol. 33(2), pages 387-396, August.
    9. Viton, Philip A., 1992. "Consolidations of scale and scope in urban transit," Regional Science and Urban Economics, Elsevier, vol. 22(1), pages 25-49, March.
    10. KERSTENs, Kris & VANDEN EECKAUT, Philippe, 1995. "Technical Efficiency Measures on DEA and FDH : A Reconsideration of the Axiomatic Literature," CORE Discussion Papers 1995013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Wilson, Paul W., 1991. "The highway speed-volume relationship revisited," Journal of Urban Economics, Elsevier, vol. 29(2), pages 202-206, March.
    12. Ray, Subhash C. & Kim, Hiung Joon, 1995. "Cost efficiency in the US steel industry: A nonparametric analysis using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 80(3), pages 654-671, February.
    13. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    14. Viton, Philip A., 1997. "Technical efficiency in multi-mode bus transit: A production frontier analysis," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 23-39, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cullinane, Kevin & Wang, Teng-Fei & Song, Dong-Wook & Ji, Ping, 2006. "The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 354-374, May.
    2. Färe, Rolf & Karagiannis, Giannis, 2017. "The denominator rule for share-weighting aggregation," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1175-1180.
    3. KERSTENS , Kristiaan & VANDEN EECKAUT, Philippe, 1998. "Distinguishing technical and scale efficiency on non-convex and convex technologies: theoretical analysis and empirical illustrations," CORE Discussion Papers 1998055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Gonzalez, Eduardo & Alvarez, Antonio, 2001. "From efficiency measurement to efficiency improvement: The choice of a relevant benchmark," European Journal of Operational Research, Elsevier, vol. 133(3), pages 512-520, September.
    5. Cavaignac, Laurent & Petiot, Romain, 2017. "A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 84-96.
    6. Odeck, James, 2006. "Congestion, ownership, region of operation, and scale: Their impact on bus operator performance in Norway," Socio-Economic Planning Sciences, Elsevier, vol. 40(1), pages 52-69, March.
    7. Barros, Carlos P. & Bin Liang, Qi & Peypoch, Nicolas, 2013. "The efficiency of French regional airports: An inverse B-convex analysis," International Journal of Production Economics, Elsevier, vol. 141(2), pages 668-674.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cor:louvrp:1323. 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: (Alain GILLIS). General contact details of provider: http://edirc.repec.org/data/coreebe.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.