Can we explain airport performance? A case study of selected New York airports using a stochastic frontier model
Links to Fileshttps://www.sciencedirect.com/science/article/pii/S0969699710000451#aep-article-footnote-id1
MetadataShow full item record
Type of Work5 pages
Citation of Original PublicationDiana, Tony; Can we explain airport performance? A case study of selected New York airports using a stochastic frontier model; Journal of Air Transport Management, Volume 16, Issue 6, Pages 310-314, 1 April, 2010; https://doi.org/10.1016/j.jairtraman.2010.03.006
RightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
Public Domain Mark 1.0
This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law
This paper uses stochastic frontier models to assess whether technical efficiency at Newark Liberty International, New York John F. Kennedy International, and New York LaGuardia airports improved from June to August 2008 compared with the summers of 2000 and 2007. An airport is efficient if it can handle operations on-time by minimizing overall demand and maximizing available airport capacity. Granger-causality tests determined the factors that may cause changes in key components and indicators of airport performance. Compared with the other airports, JFK experienced the greatest improvement in technical efficiency. The Granger-causality tests stressed the significance of airport operations and en route factors in supporting efficiency.
The following license files are associated with this item:
- Creative Commons