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Identification of technology spillover among airport alliance from the perspective of efficiency evaluation: The case of China

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  • Jiang, Yonglei
  • Liao, Feixiong
  • Xu, Qi
  • Yang, Zhongzhen

Abstract

The development of airport alliances has undergone hardships, although airport alliances have emerged simultaneously with other airline alliances in an attempt to improve competitiveness. Technology spillover is a major benefit of airport alliances, but the effects of such spillover are not as obvious as might be expected. This paper proposes a three-stage DEA-based methodological framework to uncover the existence and characteristics of technology spillover among allied airports, and identify whether the technology spillover of airport alliances outperforms the self-development of airports. A case study that concerns multi-airport companies and non-allied airports in China, where airports and airlines are rapidly expanding, is included. The results show that the technology spillover of airport alliances does not become wide spread among all of the allied airports, which is most likely because civil aviation in China is still in a stage of rapid development. However, such spillover does appear among small- and mid-sized allied airports in cities with fast urban economic development. Finally, the related implications of our methodological framework are discussed along with our findings.

Suggested Citation

  • Jiang, Yonglei & Liao, Feixiong & Xu, Qi & Yang, Zhongzhen, 2019. "Identification of technology spillover among airport alliance from the perspective of efficiency evaluation: The case of China," Transport Policy, Elsevier, vol. 80(C), pages 49-58.
    • Handle: RePEc:eee:trapol:v:80:y:2019:i:c:p:49-58
    DOI: 10.1016/j.tranpol.2019.05.004
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    as
    1. Merkert, Rico & Assaf, A. George, 2015. "Using DEA models to jointly estimate service quality perception and profitability – Evidence from international airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 42-50.
    2. Lai, Po‐Lin & Potter, Andrew & Beynon, Malcolm & Beresford, Anthony, 2015. "Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique," Transport Policy, Elsevier, vol. 42(C), pages 75-85.
    3. Olfat, Laya & Amiri, Maghsoud & Bamdad Soufi, Jahanyar & Pishdar, Mahsa, 2016. "A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 272-290.
    4. Fan, L.W. & Wu, F. & Zhou, P., 2014. "Efficiency measurement of Chinese airports with flight delays by directional distance function," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 140-145.
    5. Sun, Jiasen & Yuan, Yang & Yang, Rui & Ji, Xiang & Wu, Jie, 2017. "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis," Transport Policy, Elsevier, vol. 60(C), pages 75-86.
    6. Cui, Qiang & Kuang, Hai-bo & Wu, Chun-you & Li, Ye, 2013. "Dynamic formation mechanism of airport competitiveness: The case of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 10-18.
    7. Örkcü, H. Hasan & Balıkçı, Cemal & Dogan, Mustafa Isa & Genç, Aşır, 2016. "An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case," Transport Policy, Elsevier, vol. 48(C), pages 92-104.
    8. Fung, Michael Ka Yiu & Wan, Ken Kai Hong & Hui, Yer Van & Law, Japhet Sebastian, 2008. "Productivity changes in Chinese airports 1995-2004," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 521-542, May.
    9. Tsekeris, Theodore, 2011. "Greek airports: Efficiency measurement and analysis of determinants," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 140-142.
    10. Fernandes, Elton & Pacheco, R. R., 2002. "Efficient use of airport capacity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(3), pages 225-238, March.
    11. Tsui, Wai Hong Kan & Gilbey, Andrew & Balli, Hatice Ozer, 2014. "Estimating airport efficiency of New Zealand airports," Journal of Air Transport Management, Elsevier, vol. 35(C), pages 78-86.
    12. Kan Tsui, Wai Hong & Balli, Hatice Ozer & Gilbey, Andrew & Gow, Hamish, 2014. "Operational efficiency of Asia–Pacific airports," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 16-24.
    13. Lee, Taehwee & Yeo, Gi-Tae & Thai, Vinh V., 2014. "Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach," Transport Policy, Elsevier, vol. 33(C), pages 82-88.
    14. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    15. Georges Assaf, A. & Gillen, David, 2012. "Measuring the joint impact of governance form and economic regulation on airport efficiency," European Journal of Operational Research, Elsevier, vol. 220(1), pages 187-198.
    16. Choo, Yap Yin & Oum, Tae Hoon, 2013. "Impacts of low cost carrier services on efficiency of the major U.S. airports," Journal of Air Transport Management, Elsevier, vol. 33(C), pages 60-67.
    17. Pestana Barros, Carlos & Dieke, Peter U.C., 2007. "Performance evaluation of Italian airports: A data envelopment analysis," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 184-191.
    18. Ablanedo-Rosas, José Humberto & Gemoets, Leopoldo A., 2010. "Measuring the efficiency of Mexican airports," Journal of Air Transport Management, Elsevier, vol. 16(6), pages 343-345.
    19. Forsyth, Peter & Niemeier, Hans-Martin & Wolf, Hartmut, 2011. "Airport alliances and mergers – Structural change in the airport industry?," Journal of Air Transport Management, Elsevier, vol. 17(1), pages 49-56.
    20. Coto-Millán, Pablo & Inglada, Vicente & Fernández, Xose Luis & Inglada-Pérez, Lucía & Pesquera, Miguel Ángel, 2016. "The “effect procargo” on technical and scale efficiency at airports: The case of Spanish airports (2009–2011)," Utilities Policy, Elsevier, vol. 39(C), pages 29-35.
    21. Liu, Dan, 2016. "Measuring aeronautical service efficiency and commercial service efficiency of East Asia airport companies: An application of Network Data Envelopment Analysis," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 11-22.
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