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Measuring Performance of European Airports

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F20%3A00116369" target="_blank" >RIV/00216224:14560/20:00116369 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measuring Performance of European Airports

  • Original language description

    This paper presents a performance evaluation of European airports, based on the application of Data Envelopment Analysis (DEA). We have evaluated 115 busiest airports in Europe according to the number of checked-in passen- gers in 2018. We used four inputs, including the number of Terminals, Runways, Boarding gates, and Aircraft stands. Three variables were used on the output side, namely Passengers, Movements, and Cargo. First, we estimated the airport efficiencies using the slack based measure super-efficiency model for the pooled dataset. Then we compared the performance of airports in public, private, and mixed ownership by applying the program evaluation procedure. It is based on separate efficiency evaluation within the groups followed by the comparison of the frontier values of the separate models. Kruskal-Walis test revealed statisti- cally significant differences in the performance of fully public, partially public, or privately owned airports.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    38th International Conference on Mathematical Methods in Economics (MME 2020) Conference Proceedings

  • ISBN

    9788075097347

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    498-503

  • Publisher name

    Mendel University

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jan 1, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article