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Business performance of airports: Non-aviation revenues and their determinants
Affiliation:1. University of Enna ‘Kore’, Cittadella Universitaria, 94100, Enna, Italy;2. Free University of Bozen-Bolzano, Italy, Piazza Università 1, 39100, Bozen-Bolzano, Italy;1. University of Belgrade – Faculty of Transport and Traffic Engineering, Division of Airports and Air Traffic Safety, Vojvode Stepe 305, Belgrade, Serbia;2. ENAC – Ecole Nationale de l''Aviation Civile, Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l''Aérien (MAIAA), 7 Avenue Edouard-Belin CS 54005, 31055 Toulouse Cedex 4, France;1. Hebrew University of Jerusalem, Israel;2. University of British Columbia, Canada;3. School of Humanities and Social Sciences, Jacobs University Bremen, Germany;1. Department of Economics and Business, University of Sassari & CRENoS, Senior Research Fellow, School of Tourism & Hospitality, University of Johannesburg (South Africa), Sassari, Italy;2. Applied Economic Analysis Department, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Abstract:Management of non-core commercial activities has become a key issue amongst the leverages for improving modern airport industry. Today airports have increased dramatically their dependence on non-aeronautical revenues, which on average account for half of all revenues with this share being highly heterogeneous across regions and airports. Using a dataset of German airports, this paper discusses the improvement of commercial revenues by exploring its determinants. Previous contributions assessed the impact of a selected set of variables non-aviation revenues. Such approach was mainly the effect of multicollinearity, as the majority of relevant variables are strongly correlated to the size of the structures. We address this issue by using ridge regression and partial least squares. Results suggest the potential conflict of non-aviation revenues per passenger and per square meter with the need to expand the number of passengers.
Keywords:Non-aviation revenues  Business performance  Collinearity  Ridge regression  Partial least squares regression  Germany
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