Measuring Performance of European Airports
| Authors | |
|---|---|
| Year of publication | 2020 |
| Type | Article in Proceedings |
| Conference | 38th International Conference on Mathematical Methods in Economics (MME 2020) Conference Proceedings |
| MU Faculty or unit | |
| Citation | |
| Web | https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final.pdf |
| Keywords | airport benchmarking; data envelopment analysis; ownership; slack based DEA models; super-efficiency |
| 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. |