IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v56y2016icp15-24.html
   My bibliography  Save this article

Implication of spatial heterogeneity for airports' efficiency estimation

Author

Listed:
  • Pavlyuk, Dmitry

Abstract

This research is devoted to the analysis of a role of spatial heterogeneity in estimation of airports' efficiency. Spatial heterogeneity, caused by uneven distribution of influencing factors over space, is widely acknowledged in the European airport industry, but rarely included in airport benchmarking procedures. We utilise modern methods of spatial econometrics to identify the importance of spatial heterogeneity for estimates of airports' resource elasticity and efficiency values. A set of utilised models includes the spatial error model, spatial stochastic frontier model, geographically weighted regression model, and their modifications.

Suggested Citation

  • Pavlyuk, Dmitry, 2016. "Implication of spatial heterogeneity for airports' efficiency estimation," Research in Transportation Economics, Elsevier, vol. 56(C), pages 15-24.
    • Handle: RePEc:eee:retrec:v:56:y:2016:i:c:p:15-24
    DOI: 10.1016/j.retrec.2016.07.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885916300889
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2016.07.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Irmen, Andreas & Thisse, Jacques-Francois, 1998. "Competition in Multi-characteristics Spaces: Hotelling Was Almost Right," Journal of Economic Theory, Elsevier, vol. 78(1), pages 76-102, January.
    2. Oum, Tae H. & Yan, Jia & Yu, Chunyan, 2008. "Ownership forms matter for airport efficiency: A stochastic frontier investigation of worldwide airports," Journal of Urban Economics, Elsevier, vol. 64(2), pages 422-435, September.
    3. Germà Bel & Xavier Fageda, 2009. "Privatization, Regulation And Airport Pricing: An Empirical Analysis For Europe," RSCAS Working Papers 2009/27, European University Institute.
    4. Scotti, Davide & Malighetti, Paolo & Martini, Gianmaria & Volta, Nicola, 2012. "The impact of airport competition on technical efficiency: A stochastic frontier analysis applied to Italian airport," Journal of Air Transport Management, Elsevier, vol. 22(C), pages 9-15.
    5. Assaf, A., 2009. "Accounting for size in efficiency comparisons of airports," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 256-258.
    6. Barros, Carlos Pestana, 2008. "Technical efficiency of UK airports," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 175-178.
    7. Tsekeris, Theodore, 2011. "Greek airports: Efficiency measurement and analysis of determinants," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 140-142.
    8. Oum, Tae H. & Adler, Nicole & Yu, Chunyan, 2006. "Privatization, Corporatization, Ownership Forms and their Effects on the Performance of the World’s Major Airports," 47th Annual Transportation Research Forum, New York, New York, March 23-25, 2006 208026, Transportation Research Forum.
    9. Chow, Clement Kong Wing & Fung, Michael Ka Yiu, 2012. "Estimating indices of airport productivity in Greater China," Journal of Air Transport Management, Elsevier, vol. 24(C), pages 12-17.
    10. D’Alfonso, Tiziana & Daraio, Cinzia & Nastasi, Alberto, 2015. "Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 20-38.
    11. Gitto, Simone & Mancuso, Paolo, 2010. "Airport efficiency: a DEA two stage analysis of the Italian commercial airports," MPRA Paper 34366, University Library of Munich, Germany, revised 10 Oct 2010.
    12. Gitto, Simone & Mancuso, Paolo, 2012. "Two faces of airport business: A non-parametric analysis of the Italian airport industry," Journal of Air Transport Management, Elsevier, vol. 20(C), pages 39-42.
    13. Tapiador, Francisco J. & Mateos, Ana & Martí-Henneberg, Jordi, 2008. "The geographical efficiency of Spain's regional airports: A quantitative analysis," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 205-212.
    14. Yu, Ming-Miin, 2004. "Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors," Journal of Air Transport Management, Elsevier, vol. 10(5), pages 295-303.
    15. Oum, Tae H. & Adler, Nicole & Yu, Chunyan, 2006. "Privatization, corporatization, ownership forms and their effects on the performance of the world's major airports," Journal of Air Transport Management, Elsevier, vol. 12(3), pages 109-121.
    16. Juan Martín & Concepción Román & Augusto Voltes-Dorta, 2009. "A stochastic frontier analysis to estimate the relative efficiency of Spanish airports," Journal of Productivity Analysis, Springer, vol. 31(3), pages 163-176, June.
    17. Adler, Nicole & Liebert, Vanessa, 2014. "Joint impact of competition, ownership form and economic regulation on airport performance and pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 92-109.
    18. Perelman, Sergio & Serebrisky, Tomas, 2010. "Measuring the technical efficiency of airports in Latin America," Policy Research Working Paper Series 5339, The World Bank.
    19. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2003. "Inefficiencies and scale economies of European airport operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(5), pages 341-361, September.
    20. Tolga Ülkü & Vahidin Jeleskovic & Jürgen Müller, 2014. "How scale and institutional setting explain the costs of small airports? -An application of spatial regression analysis," MAGKS Papers on Economics 201435, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    21. Martín, Juan Carlos & Voltes-Dorta, Augusto, 2011. "The econometric estimation of airports' cost function," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 112-127, January.
    22. Starkie, David, 2002. "Airport regulation and competition," Journal of Air Transport Management, Elsevier, vol. 8(1), pages 63-72.
    23. Tovar, Beatriz & Martín-Cejas, Roberto Rendeiro, 2010. "Technical efficiency and productivity changes in Spanish airports: A parametric distance functions approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(2), pages 249-260, March.
    24. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2021. "The spatial dimension of competition among airports at the worldwide level: a spatial stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 295(1), pages 118-130.
    2. Güner, Samet & Cebeci, Halil İbrahim & Antunes, Jorge Junio Moreira & Wanke, Peter F., 2021. "Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon's entropy," Journal of Air Transport Management, Elsevier, vol. 92(C).
    3. Hu, Rong & Huang, Mengyuan & Zhang, Junfeng & Witlox, Frank, 2023. "On the Matthew effect in a multi-airport system: Evidence from the viewpoint of airport green efficiency," Journal of Air Transport Management, Elsevier, vol. 106(C).
    4. Xu, Xuecai & Huang, Dong & Guo, Fengjun, 2020. "Addressing spatial heterogeneity of injury severity using Bayesian multilevel ordered probit model," Research in Transportation Economics, Elsevier, vol. 80(C).
    5. Chen, Zhongfei & Barros, Carlos & Yu, Yanni, 2017. "Spatial distribution characteristic of Chinese airports: A spatial cost function approach," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 63-70.
    6. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2022. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Economics of Transportation, Elsevier, vol. 31(C).
    7. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2020. "Spatial competition and efficiency: an investigation in the airport sector," The Warwick Economics Research Paper Series (TWERPS) 1287, University of Warwick, Department of Economics.
    8. Zuidberg, Joost, 2017. "Exploring the determinants for airport profitability: Traffic characteristics, low-cost carriers, seasonality and cost efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 61-72.
    9. Fernández, Xosé Luis & Coto-Millán, Pablo & Díaz-Medina, Benito, 2018. "The impact of tourism on airport efficiency: The Spanish case," Utilities Policy, Elsevier, vol. 55(C), pages 52-58.

    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. Pavlyuk, Dmitry, 2012. "Airport Benchmarking and Spatial Competition: a Critical Review," MPRA Paper 43391, University Library of Munich, Germany.
    2. Voltes-Dorta, Augusto & Pagliari, Romano, 2012. "The impact of recession on airports' cost efficiency," Transport Policy, Elsevier, vol. 24(C), pages 211-222.
    3. Randrianarisoa, Laingo Manitra & Bolduc, Denis & Choo, Yap Yin & Oum, Tae Hoon & Yan, Jia, 2015. "Effects of corruption on efficiency of the European airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 79(C), pages 65-83.
    4. Adler, Nicole & Ülkü, Tolga & Yazhemsky, Ekaterina, 2013. "Small regional airport sustainability: Lessons from benchmarking," Journal of Air Transport Management, Elsevier, vol. 33(C), pages 22-31.
    5. D’Alfonso, Tiziana & Daraio, Cinzia & Nastasi, Alberto, 2015. "Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 20-38.
    6. lo Storto, Corrado, 2018. "Ownership structure and the technical, cost, and revenue efficiency of Italian airports," Utilities Policy, Elsevier, vol. 50(C), pages 175-193.
    7. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2020. "Spatial competition and efficiency: an investigation in the airport sector," The Warwick Economics Research Paper Series (TWERPS) 1287, University of Warwick, Department of Economics.
    8. See, Kok Fong & Li, Fei, 2015. "Total factor productivity analysis of the UK airport industry: A Hicks-Moorsteen index method," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 1-10.
    9. Paraschi, Elen Paraskevi & Georgopoulos, Antonios & Papatheodorou, Andreas, 2020. "Abiotic determinants of airport performance: Insights from a global survey," Transport Policy, Elsevier, vol. 85(C), pages 33-53.
    10. Fabio Carlucci & Andrea Cirà & Paolo Coccorese, 2018. "Measuring and Explaining Airport Efficiency and Sustainability: Evidence from Italy," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    11. 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.
    12. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2021. "The spatial dimension of competition among airports at the worldwide level: a spatial stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 295(1), pages 118-130.
    13. Myung Je Lee & Changhee Kim, 2018. "A network DEA aeronautical and non-aeronautical production model: an application to South Korea airports," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-12, December.
    14. Vogel, Hans-Arthur & Graham, Anne, 2013. "Devising airport groupings for financial benchmarking," Journal of Air Transport Management, Elsevier, vol. 30(C), pages 32-38.
    15. Zou, Bo & Kafle, Nabin & Chang, Young-Tae & Park, Kevin, 2015. "US airport financial reform and its implications for airport efficiency: An exploratory investigation," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 66-78.
    16. Assaf, A. George & Gillen, David & Tsionas, Efthymios G., 2014. "Understanding relative efficiency among airports: A general dynamic model for distinguishing technical and allocative efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 18-34.
    17. De Nicola, Arianna & Gitto, Simone & Mancuso, Paolo, 2013. "Airport quality and productivity changes: A Malmquist index decomposition assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 67-75.
    18. Fernández, Xosé Luis & Coto-Millán, Pablo & Díaz-Medina, Benito, 2018. "The impact of tourism on airport efficiency: The Spanish case," Utilities Policy, Elsevier, vol. 55(C), pages 52-58.
    19. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.
    20. Fernández, Xose Luis & Gundelfinger, Javier & Coto-Millán, Pablo, 2022. "The impact of logistics and intermodality on airport efficiency," Transport Policy, Elsevier, vol. 124(C), pages 233-239.

    More about this item

    Keywords

    Spatial heterogeneity; Airport; Efficiency; Productivity; Spatial econometrics; Stochastic frontier;
    All these keywords.

    JEL classification:

    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:eee:retrec:v:56:y:2016:i:c:p:15-24. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    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.