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The Remarkable Incidence of Congestion in Production: A Review, Empirical Illustration, and Research Agenda

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  • Kerstens, Kristiaan
  • Van de Woestyne, Ignace

Abstract

This contribution surveys the existing economic literature measuring congestion using nonparametric specifications of technologies. The focus is on the magnitude and especially the incidence of the congestion detected using traditional radial input-oriented efficiency measures. Furthermore, it shows the limitations of this radial measurement and how alternative measurement schemes may reveal higher amounts of congestion. This is empirically illustrated using a variety of secondary data sets (which guarantees replicability of our results).

Suggested Citation

  • Kerstens, Kristiaan & Van de Woestyne, Ignace, 2019. "The Remarkable Incidence of Congestion in Production: A Review, Empirical Illustration, and Research Agenda," Data Envelopment Analysis Journal, now publishers, vol. 4(2), pages 109-147, December.
    • Handle: RePEc:now:jnldea:103.00000026
    DOI: 10.1561/103.00000026
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    Cited by:

    1. Maryam Shadab & Saber Saati & Reza Farzipoor Saen & Mohammad Khoveyni & Amin Mostafaee, 2021. "Detecting congestion in DEA by solving one model," Operations Research and Decisions, Wroclaw University of Science Technology, Faculty of Management, vol. 31(1), pages 77-96.
    2. Maryam Shadab & Saber Saati & Reza Farzipoor Saen & Mohammad Khoveyni & Amin Mostafaee, 2021. "Detecting congestion in DEA by solving one model," Operations Research and Decisions, Wroclaw University of Science Technology, Faculty of Management, vol. 31, pages 77-96.

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    Keywords

    Nonparametric technology; congestion;

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