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A hybrid AHP/DEA-AR model for measuring and comparing the efficiency of airports

Author

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  • Burak Keskin
  • Can Deniz Köksal

Abstract

Purpose - The purpose of this paper is to employ an efficiency analysis and compare the efficiency scores of publicly or privately operated airports in Turkey. Design/methodology/approach - This study uses analytic hierarchy process, which is one of the widely known multi-criteria decision-making methods to calculate the relative weights of input and outputs. This study also uses data envelopment analysis and assurance region (AR) method to calculate the efficiency scores of airports at the empirical analysis stage. Findings - The empirical results reveal that DEA-BCC and DEA-CCR methods produced almost the same efficiency scores, and 14 airports were found as efficient. Also, AR method was employed and under this method, it was only two airports operated by the private sector that were found as efficient. None of the publicly operated airports was found as efficient. Practical implications - The main practical implication of this study is that publicly operated airports must improve their efficiency levels in Turkey. This situation indicates that the government policy for the aviation sector must be changed. It is not a coincidence that all publicly operated airports are inefficient. To cope with this situation, it may be a useful policy that establishes a regional airport system or applies the privatization process to all airports. Originality/value - The most significant contribution of this study to literature is that the AR method, which was never used before in a single country’s airport performance evaluation study, was applied for the first time. Also, this technique was applied first time to Turkish airports for measuring their efficiency levels.

Suggested Citation

  • Burak Keskin & Can Deniz Köksal, 2019. "A hybrid AHP/DEA-AR model for measuring and comparing the efficiency of airports," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 68(3), pages 524-541, January.
    • Handle: RePEc:eme:ijppmp:ijppm-02-2018-0043
    DOI: 10.1108/IJPPM-02-2018-0043
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    Citations

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    Cited by:

    1. Chia-Nan Wang & Kristofer Neal Castro Imperial & Ching-Chien Huang & Thanh-Tuan Dang, 2022. "Output Targeting and Runway Utilization of Major International Airports: A Comparative Analysis Using DEA," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    2. Ioannis Gkouvitsos & Ioannis Giannikos, 2022. "Using a MACBETH based multicriteria approach for virtual weight restrictions in each stage of a DEA multi-stage ranking process," Operational Research, Springer, vol. 22(3), pages 1787-1811, July.
    3. Pacagnella, Antônio Carlos & Hollaender, Paulo Sodre & Mazzanati, Giovanni Vitale & Bortoletto, Wagner Wilson, 2021. "Efficiency drivers of international airports: A worldwide benchmarking study," Journal of Air Transport Management, Elsevier, vol. 90(C).
    4. Güner, Samet & İbrahim Cebeci, Halil, 2021. "Multi-period efficiency analysis of major European and Asian airports under fixed proportion technologies," Transport Policy, Elsevier, vol. 107(C), pages 24-42.
    5. Güner, Samet & Seçkin Codal, Keziban, 2022. "Endogenous and exogenous sources of efficiency in the management of Turkish airports," Utilities Policy, Elsevier, vol. 76(C).
    6. Yu, Ming-Miin & Rakshit, Ipsita, 2023. "Assessing the dynamic efficiency and technology gap of airports under different ownerships: A union dynamic NDEA approach," Omega, Elsevier, vol. 119(C).
    7. Cifuentes-Faura, Javier & Faura-Martínez, Ursula, 2023. "Measuring Spanish airport performance: A bootstrap data envelopment analysis of efficiency," Utilities Policy, Elsevier, vol. 80(C).
    8. Alessio Ishizaka & Sajid Siraj, 2020. "Interactive consistency correction in the analytic hierarchy process to preserve ranks," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 443-464, December.

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