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Airports in Argentina: Technical efficiency in the context of an economic crisis

Listed author(s):
  • Barros, Carlos Pestana

A two-stage procedure is used to estimate the technical efficiency of Argentina's airports from 2003 to 2007, a period of intense economic crisis, during which the traffic fell by 50%. In the first stage, the airports' relative technical efficiency is estimated using data envelopment analysis to establish which airports perform most efficiently. In the second stage, the Simar and Wilson procedure is used to bootstrap the data envelopment analysis scores with a truncated regression.

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File URL: http://www.sciencedirect.com/science/article/pii/S0969699708001026
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Article provided by Elsevier in its journal Journal of Air Transport Management.

Volume (Year): 14 (2008)
Issue (Month): 6 ()
Pages: 315-319

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Handle: RePEc:eee:jaitra:v:14:y:2008:i:6:p:315-319
DOI: 10.1016/j.jairtraman.2008.08.005
Contact details of provider: Web page: http://www.journals.elsevier.com/journal-of-air-transport-management/

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  1. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
  2. Yoshida, Yuichiro & Fujimoto, Hiroyoshi, 2004. "Japanese-airport benchmarking with the DEA and endogenous-weight TFP methods: testing the criticism of overinvestment in Japanese regional airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(6), pages 533-546, November.
  3. Yoshida, Yuichiro, 2004. "Endogenous-weight TFP measurement: methodology and its application to Japanese-airport benchmarking," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(2), pages 151-182, March.
  4. Lipovich, Gustavo Andrés, 2008. "The privatization of Argentine airports," Journal of Air Transport Management, Elsevier, vol. 14(1), pages 8-15.
  5. Kumbhakar, Subal C, 1987. "Production Frontiers and Panel Data: An Application to U.S. Class 1 Railroads," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 249-255, April.
  6. 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.
  7. 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.
  8. 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.
  9. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
  10. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
  11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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