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Performance assessment of UK airports: Evidence from a Bayesian dynamic frontier model

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  • Assaf, A. George
  • Gillen, David
  • Barros, Carlos

Abstract

This paper analyzes the cost efficiency of UK airports over the period 1998–2008, using a Bayesian dynamic frontier model. This model provides a more structural explanation for the variation in airports inefficiency than has been presented by previous models, and also allows for cost inefficiency effects. On average, the dynamic frontier results, estimated via the Markov Chain Monte-Carlo simulation, indicate that UK airports improved their efficiency over time. Factors found to be important determinants of cost efficiency include airport size, price regulation, price cap variations and airport competition. Policy implications of the results are derived.

Suggested Citation

  • Assaf, A. George & Gillen, David & Barros, Carlos, 2012. "Performance assessment of UK airports: Evidence from a Bayesian dynamic frontier model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 603-615.
  • Handle: RePEc:eee:transe:v:48:y:2012:i:3:p:603-615
    DOI: 10.1016/j.tre.2011.11.001
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    8. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    9. Voltes-Dorta, Augusto & Lei, Zheng, 2013. "The impact of airline differentiation on marginal cost pricing at UK airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 72-88.
    10. Assaf, A. George & Gillen, David & Tsionas, Efthymios G., 2014. "Understanding relative efficiency among airports: A general dynamic model for distinguishing technical and allocative efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 18-34.
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