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The Technical Efficiency of UK Airports

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Author Info
Carlos Pestana Barros

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Abstract

In this paper, the innovative random stochastic frontier model is used to estimate the technical efficiency of UK airports. These airports are ranked according to their total productivity for the period 2000-2005 and homogenous and heterogeneous variables in the cost function are disentangled, which leads us to advise the implementation of common policies as well as policies by segments. Economic implications arising from the study are also considered.

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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 2008/10.

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Date of creation: Feb 2008
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Handle: RePEc:ise:isegwp:wp102008

Contact details of provider:
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/

For technical questions regarding this item, or to correct its listing, contact: (Vitor Escaria).

Related research
Keywords: Airports; UK; efficiency; random frontier models; policy implications.;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Sarkis, Joseph & Talluri, Srinivas, 2004. "Performance based clustering for benchmarking of US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 329-346, June. [Downloadable!] (restricted)
  2. Caves, R E & Porter, M E, 1977. "From Entry Barriers to Mobility Barriers: Conjectural Decisions and Contrived Deterrence to New Competition," The Quarterly Journal of Economics, MIT Press, vol. 91(2), pages 241-61, May. [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. Adler, Nicole & Berechman, Joseph, 2001. "Measuring airport quality from the airlines' viewpoint: an application of data envelopment analysis," Transport Policy, Elsevier, vol. 8(3), pages 171-181, July. [Downloadable!] (restricted)
  5. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2001. "Relative efficiency of European airports," Transport Policy, Elsevier, vol. 8(3), pages 183-192, July. [Downloadable!] (restricted)
  6. De Borger B. & Kerstens K. & Costa A., 2000. "Public transport performance: what do we learn from frontier studies?," Working Papers 2000019, University of Antwerp, Faculty of Applied Economics. [Downloadable!]
  7. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August. [Downloadable!] (restricted)
  8. Erol Taymaz, 2005. "Are Small Firms Really Less Productive?," Small Business Economics, Springer, vol. 25(5), pages 429-445, December. [Downloadable!] (restricted)
  9. Susanne Warning, 2004. "Performance Differences in German Higher Education: Empirical Analysis of Strategic Groups," Review of Industrial Organization, Springer, vol. 24(4), pages 393-408, 06. [Downloadable!]
  10. Susanne Warning, 2004. "Performance Differences in German Higher Education: Empirical Analysis of Strategic Groups," Working Papers of the Research Group Heterogenous Labor 04-09, Research Group Heterogeneous Labor, University of Konstanz/ZEW Mannheim. [Downloadable!]
  11. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July. [Downloadable!] (restricted)
  12. Barros, Carlos Pestana, 2008. "Technical change and productivity growth in airports: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(5), pages 818-832, June. [Downloadable!] (restricted)
  13. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March. [Downloadable!]
  14. 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)
  15. William Greene, 2003. "Distinguishing Between Heterogeneity and Inefficiency: Stochastic Frontier Analysis of the World Health Organization’s Panel Data on National Health Care Systems," Working Papers 03-10, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Carlos Pestana Barros & Rui Cunha Marques, 2008. "Performance of European Airports: Regulation, Ownership and Managerial Efficiency," Working Papers 2008/25, Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon.. [Downloadable!]
  2. Juan Martín & Concepción Román & Augusto Voltes-Dorta, 2009. "A stochastic frontier analysis to estimate the relative efficiency of Spanish airports," Journal of Productivity Analysis, Springer, vol. 31(3), pages 163-176, June. [Downloadable!] (restricted)
  3. Carlos Pestana Barros & Shunsuke Managi, 2008. "Productivity Change of UK Airports: 2000-2005," Working Papers 2008/22, Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon.. [Downloadable!]
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