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Heterogeneity On The Technical Efficiency In Japanese Airports

Author

Listed:
  • CARLOS PESTANA BARROS

    (Instituto de Economia e Gestão, Technical University of Lisbon, Rua Miguel Lupi, 20, 1249-078 Lisbon, Portugal)

  • SHUNSUKE MANAGI

    (Graduate School of Environmental Studies, Tohoku University, 6-6-20 Aramaki-Aza Aoba, Aoba-Ku, Sendai 980-8579, Japan)

  • YUICHIRO YOSHIDA

    (National Graduate Institute for Policy Studies, 7-22-1 Roppongi, Minato-ku, Tokyo, Japan 106-8677, Japan)

Abstract

This paper evaluates the production activities of Japanese airports by using a finite mixture model that allows controlling for unobserved heterogeneity. In doing so, a stochastic frontier latent class model, which allows the existence of different technologies, is adopted to estimate production frontiers. This procedure not only enables the identification of different groups of Japanese airports but also permits the analysis of their production efficiency. The main result is that there are two groups of Japanese airports, both following completely different "technologies" to obtain passengers and cargo, suggesting that business strategies need to be adapted to the characteristics of the airports. Some managerial implications are developed.

Suggested Citation

  • Carlos Pestana Barros & Shunsuke Managi & Yuichiro Yoshida, 2011. "Heterogeneity On The Technical Efficiency In Japanese Airports," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 56(04), pages 523-534.
    • Handle: RePEc:wsi:serxxx:v:56:y:2011:i:04:n:s0217590811004419
    DOI: 10.1142/S0217590811004419
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    Citations

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    Cited by:

    1. Carlos Barros & Ade Ibiwoye, 2012. "Performance, heterogeneity and managerial efficiency of African airports: the Nigerian Case," CEsA Working Papers 106, CEsA - Centre for African and Development Studies.
    2. Reza Sanei & Farhad Hosseinzadeh lotfi & Mohammad Fallah & Farzad Movahedi Sobhani, 2022. "An Estimation of an Acceptable Efficiency Frontier Having an Optimum Resource Management Approach, with a Combination of the DEA-ANN-GA Technique (A Case Study of Branches of an Insurance Company)," Mathematics, MDPI, vol. 10(23), pages 1-21, November.
    3. Ha, Hun Koo & Kaneko, Shinji & Yamamoto, Masashi & Yoshida, Yuichiro & Zhang, Anming, 2017. "On the discrepancy in the social efficiency measures between parametric and non-parametric production technology identification," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 9-14.
    4. Wanke, Peter & Barros, C.P., 2017. "Efficiency thresholds and cost structure in Senegal airports," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 100-112.
    5. Wanke, Peter & Barros, C.P. & Nwaogbe, Obioma R., 2016. "Assessing productive efficiency in Nigerian airports using Fuzzy-DEA," Transport Policy, Elsevier, vol. 49(C), pages 9-19.

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