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作 者:Christina Milioti Amedeo R.Odoni
机构地区:[1]Department of Civil Engineering,University of West Attica,Athens,Greece [2]Department of Aeronautics and Astronautics,Massachusetts Institute of Technology,Cambridge,MA,United States
出 处:《Journal of the Air Transport Research Society》2024年第1期90-102,共13页航空交通(英文)
摘 要:We study the impact of an airport’s designated“Level”(1,2,or 3)on market concentration,using a sample of 157 airports that served 88%of all European airport passengers in 2017.The main question of interest is whether the slot allocation and coordination process at Level 3 airports contributes to high market concentration at these airports.Airports were subdivided into six groups and subgroups:Level 1,Level 2,Level 3,Small Level 3,Big Level 3 and Super Big Level 3.Market concentration was measured using the HHI for Airline Seats and Airline Slots(treating each airline as a separate competitor),as well as for Alliance Seats and Alliance Slots(treating all members of an alliance as a single competitor).Super Big Level 3 airports had the highest average HHI of all groups and subgroups for the metrics of Alliance Seats and Alliance Slots,with average HHI values of around 4000,suggesting very high market concentration.LCCs play a complex role in shaping market concentration,with a strong positive correlation between HHI and the share of LCCs at Level 1 airports and a negative correlation at Level 3 airports,where the presence of LCCs is still limited.Some strong and significant correlations also exist between market concentration and a number of other Level 1,2,or 3 airport characteristics such as the scheduling season,the number of airlines at the airport,and airport seasonality,size,and connectivity.We also examined nine European multi-airport systems(MAS).The MAS-wide HHI may be significantly smaller than the HHI of the principal airport of the MAS,depending on the distribution of airlines across the MAS,the relative size of the airports,and the type of traffic that each airport serves.Plausible explanations and policy implications of these findings are discussed.
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