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On the Technically Efficient Organization of an Industry: A Study of U.S. Airlines

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  • Subhash Ray

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  • Xiaowen Hu

Abstract

In nonparametric analysis of production efficiency, the focus of attention is typically on the individual firm. In this article, we evaluate efficiency in resource utilization at the industry level. We propose an integer programming model to measure the extent of input saving possible if the observed output level of the industry is allocated to an optimal number of identical firms. This approach is applied to data for U.S. airlines covering the period 1970–84. Our results confirm that there were too few airlines prior to deregulation and suggest that there were too many firms during the early years of the post-deregulation era. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • Subhash Ray & Xiaowen Hu, 1997. "On the Technically Efficient Organization of an Industry: A Study of U.S. Airlines," Journal of Productivity Analysis, Springer, vol. 8(1), pages 5-18, March.
  • Handle: RePEc:kap:jproda:v:8:y:1997:i:1:p:5-18
    DOI: 10.1023/A:1007751413007
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    References listed on IDEAS

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    1. Henry Tulkens, 1993. "On FDH efficiency analysis: Some methodological issues and applications to retail banking, courts, and urban transit," Journal of Productivity Analysis, Springer, vol. 4(1), pages 183-210, June.
    2. Fare, Rolf & Grosskopf, Shawna & Li, Sung-Ko, 1992. " Linear Programming Models for Firm and Industry Performance," Scandinavian Journal of Economics, Wiley Blackwell, vol. 94(4), pages 599-608.
    3. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. Maindiratta, Ajay, 1990. "Largest size-efficient scale and size efficiencies of decision-making units in data envelopment analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 57-72.
    6. Douglas W. Caves & Laurits R. Christensen & Michael W. Tretheway, 1984. "Economies of Density versus Economies of Scale: Why Trunk and Local Service Airline Costs Differ," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 471-489, Winter.
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    Cited by:

    1. repec:eee:soceps:v:61:y:2018:i:c:p:37-43 is not listed on IDEAS
    2. Chandra, Pankaj & Cooper, William W. & Li, Shanling & Rahman, Atiqur, 1998. "Using DEA To evaluate 29 Canadian textile companies -- Considering returns to scale," International Journal of Production Economics, Elsevier, vol. 54(2), pages 129-141, January.
    3. Ray, Subhash, 2016. "Cost efficiency in an Indian bank branch network: A centralized resource allocation model," Omega, Elsevier, vol. 65(C), pages 69-81.
    4. Blancard, Stéphane & Boussemart, Jean-Philippe & Chavas, Jean-Paul & Leleu, Hervé, 2016. "Potential gains from specialization and diversification further to the reorganization of activities," Omega, Elsevier, vol. 63(C), pages 60-68.
    5. Peyrache, Antonio, 2015. "Cost constrained industry inefficiency," European Journal of Operational Research, Elsevier, vol. 247(3), pages 996-1002.
    6. Hien Thu Pham & Antonio Peyrache, 2015. "Industry Inefficiency Measures: A Unifying Approximation Proposition," CEPA Working Papers Series WP102015, School of Economics, University of Queensland, Australia.
    7. Valentin Zelenyuk, 2018. "Some Mathematical and Historical Clarifications on Aggregation in Efficiency and Productivity Analysis and Connection to Economic Theory," CEPA Working Papers Series WP032018, School of Economics, University of Queensland, Australia.

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