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Comparing efficiency of holding business model and individual management model of airports
Affiliation:1. CESUR, CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisbon, Portugal;2. CEG-IST – Center for Management Studie, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisbon, Portugal;1. Institute of Psychology, University of Gdansk, Gdańsk, Poland;2. Gdansk University of Physical Education and Sport, Gdańsk, Poland;3. Polish Airlines LOT, Poland;4. University of Finances and Management in Warsaw, Warsaw, Poland;1. FU Berlin, Department of Information Systems, Germany;2. RWTH Aachen University, Department of Business and Economics, Germany;1. School of Management and Labor Relations, Rutgers University, New Brunswick, NJ 08903, USA;2. Ecole hôtelière de Lausanne HES-SO // University of Applied Sciences Western Switzerland, 1000 Lausanne 25, Switzerland;3. Maine Business School, University of Maine, Orono, ME 04469-5723, USA;4. Brandais University, Waltham, MA 02454, USA;5. University of Massachusetts, Boston, MA 02125, USA;1. Dept. of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan City, 32023, Taiwan;2. Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USA;3. Department of Travel, Tungnan University, New Taipei City, Taiwan;4. Department of Business Administration, National Central University, Taiyuan City, Taiwan
Abstract:This research compares the efficiency of holding business model to individual management model of airports, employing some robust non-parametric partial frontier-based methods to compare the statistical distributions of efficiency, under different scenarios, to find out which group of airports yields better global performance. The comparison between groups will follow a Malmquist index decomposition, which seems to be the most appropriate tool for within- and inter-group performance comparison. For this purpose, a sample of 145 airports from three continents is utilized. The results provide evidence that European airports are the most productive ones, and within this cluster, the individual management model presented a significant frontier shift with respect the holding cluster frontier, meaning that the former is much more productive than the latter.
Keywords:Airports  Holding and individual airports  Efficiency  Data envelopment analysis  Malmquist index decomposition
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