IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/74490.html

Technical Efficiency in International Air Transport

Author

Listed:
  • Michaelides, Panayotis G.
  • Belegri-Roboli, Athena
  • Marinos, Theocharis

Abstract

The paper estimates technical efficiency in International Air Transport, within the framework of Stochastic Frontier Analysis. It is based on Panel Data for twenty four (24) companies worldwide, over the time period 1991-2002 and employs the Cobb-Douglas specification of the production function. A first finding of our investigation is that air transportation companies, worldwide, experienced (almost) constant returns to scale. A second interesting result is that technical efficiency of air transportation companies, worldwide, ranged between 37% and 100% with an average equal to about 89%. However, the industry’s performance worldwide in terms of technical efficiency does not follow a clear trend in time, whereas some differences in performance depending on the corporation’s continent of origin are observed. More precisely, the American, Australian and Asian have left behind the European companies. Also, the level of technology experienced a slight increase, while the privatization of very few air transportation companies in our data set does not seem to have any systematic impact on them in terms of technical efficiency. Finally, the results are compared with those yielded by the linear programming approach and the estimates are found to be very consistent with the results using Data Envelopment Analysis.

Suggested Citation

  • Michaelides, Panayotis G. & Belegri-Roboli, Athena & Marinos, Theocharis, 2008. "Technical Efficiency in International Air Transport," MPRA Paper 74490, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:74490
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/74490/7/MPRA_paper_74490.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Inglada, Vicente & Rey, Belen & Rodri­guez-Alvarez, Ana & Coto-Millan, Pablo, 2006. "Liberalisation and efficiency in international air transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 95-105, February.
    2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    3. Schmidt, Peter & Knox Lovell, C. A., 1979. "Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers," Journal of Econometrics, Elsevier, vol. 9(3), pages 343-366, February.
    4. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. 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.
    7. Oum, Tae Hoon & Lee, Yeong Heok, 2002. "The Northeast Asian air transport network: is there a possibility of creating Open Skies in the region?," Journal of Air Transport Management, Elsevier, vol. 8(5), pages 325-337.
    8. Ila Alam & Robin Sickles, 1998. "The Relationship Between Stock Market Returns and Technical Efficiency Innovations: Evidence from the US Airline Industry," Journal of Productivity Analysis, Springer, vol. 9(1), pages 35-51, January.
    9. Alam, Ila M Semenick & Sickles, Robin C, 2000. "Time Series Analysis of Deregulatory Dynamics and Technical Efficiency: The Case of the U.S. Airline Industry," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(1), pages 203-218, February.
    10. Veronique Distexhe & Sergio Perelman, 1994. "Technical Efficiency and Productivity Growth in an Era of Deregulation: the Case of Airlines," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(IV), pages 669-689, December.
    11. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    12. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    13. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Belegri-Roboli, Athena & Michaelides, Panayotis G., 2005. "Measuring Technical Efficiency in the Greek Public Power Corporation by means of Stochastic Frontier Analysis (1970-1997)," MPRA Paper 74425, University Library of Munich, Germany.
    2. Gian Carlo Scarsi, 1999. "Local Electricity Distribution in Italy: Comparative Efficiency Analysis and Methodological Cross-Checking," Working Papers 1999.16, Fondazione Eni Enrico Mattei.
    3. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    4. Althaler, Karl S. & Slavova, Tatjana, 2000. "DEA Problems under Geometrical or Probability Uncertainties of Sample Data," Economics Series 89, Institute for Advanced Studies.
    5. Khem Sharma & Pingsun Leung & Halina Zaleski, 1997. "Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 8(4), pages 447-459, November.
    6. Martín Rossi, 2015. "The Econometrics Approach to the Measurement of Efficiency: A Survey," Working Papers 117, Universidad de San Andres, Departamento de Economia, revised Feb 2015.
    7. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    8. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    9. Maria Francesca Cracolici & Peter Nijkamp & Piet Rietveld, 2008. "Assessment of Tourism Competitiveness by Analysing Destination Efficiency," Tourism Economics, , vol. 14(2), pages 325-342, June.
    10. Suyanto, & Salim, Ruhul & Bloch, Harry, 2014. "Which firms benefit from foreign direct investment? Empirical evidence from Indonesian manufacturing," Journal of Asian Economics, Elsevier, vol. 33(C), pages 16-29.
    11. Julio Peña-Torres & Michael Basch & Sebastian Vergara, "undated". "EFICIENCIA TÉCNICA Y ESCALAS DE OPERACIÓN EN PESCA PELÁGICA: UN ANÁLISIS DE FRONTERAS ESTOCÁSTICAS (Pesquería Centro-Sur en Chile)," ILADES-UAH Working Papers inv137, Universidad Alberto Hurtado/School of Economics and Business.
    12. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    13. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    14. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
    15. Schalk Hans Joachim & Untiedt Gerhard & Lüschow Jörg, 1995. "Technische Effizienz, Wachstum und Konvergenz in den Arbeitsmarktregionen der Bundesrepublik Deutschland (West). Eine ökonometrische Analyse für die Verarbeitende Industrie mit einem „Frontier Production Function“-Modell / Technical Efficiency, Econo," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 214(1), pages 25-49, February.
    16. Dhawan, Rajeev & Jochumzen, Peter, 1999. "Stochastic Frontier Production Function With Errors-In-Variables," Working Papers 1999:007, Lund University, Department of Economics.
    17. Luca Casolaro & Giorgio Gobbi, 2004. "Information technology and productivity changes in the Italian banking industry," Temi di discussione (Economic working papers) 489, Bank of Italy, Economic Research and International Relations Area.
    18. Tim J. Coelli & George E. Battese, 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 103-128, August.
    19. Tom Kompas, 2004. "Market reform, productivity and efficiency in Vietnamese rice production," International and Development Economics Working Papers idec04-4, International and Development Economics.
    20. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:74490. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.