美国航空枢纽到枢纽市场的竞争与协调:一个行业合并前的案例研究

P. Bhattacharjee
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引用次数: 0

摘要

目的:本文调查了在最近的传统航空公司合并浪潮之前,美国航空公司枢纽到枢纽市场存在的行为性质。我们以“势力范围”的形式探讨了网络运营商枢纽对航空市场行为的战略重要性。我们也同时认识到低成本航空公司(LCC)多年来所扮演的过度增长的角色,通过估算两个行为参数——一个是在低成本航空公司与传统航空公司直接竞争的市场,另一个是在低成本航空公司不服务但在枢纽机场或邻近机场存在的市场。因此,我们的供给侧框架也为航空业的完全可竞争性问题提供了一些启示。设计/方法/方法:我们使用2004年第一季度的DB1B数据估计具有竞争性交互的差异化产品的结构性寡头垄断模型。研究发现:我们的研究结果表明,相对于伯特兰行为,在枢纽到枢纽市场中,竞争的本质更具侵略性,而且这些市场不是完全可竞争的。原创性/价值:本文通过假设存在产品差异化的公司定价行为,对实际行为参数进行估计,从而增加了航空公司竞争的实证文献。与现有关于航空公司竞争的文献相反,结构模型使我们能够系统地分离出需求、成本和战略因素对观察到的航空公司价格的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Competition and Coordination in the U.S. Airline Hub-to-Hub Markets: An Industry Pre-Merger Case Study
Purpose: This paper investigates the nature of conduct that existed in the U.S. airline hub-to-hub markets prior to the recent merger wave of the legacy carriers. We explore the strategic importance of network carrier hubs in form of “spheres of influence” on airline market conduct. We also simultaneously recognize the overgrowing role played by Low Cost Carriers (LCC) over the years by estimating two conduct parameters - one in markets where LCCs directly compete head-to-head with legacy carriers and the other for markets which LCCs do not serve but has presence in the hub airports or adjacent airports comprising the market endpoints. Thus our supply side framework also sheds some light on the issue of perfect contestability in airline industry. Design/methodology/approach: We estimate a structural oligopoly model for differentiated products with competitive interactions using DB1B data for first quarter of 2004. Findings: Our results imply that the nature of competition is more aggressive relative to Bertrand behavior in hub-to-hub markets and that these markets are less than perfectly contestable. Originality/value: This paper adds to the empirical literature of airline competition by enabling estimation of the actual conduct parameter assuming firm price setting behavior in presence of product differentiation. Contrary to existing literature on airline competition, a structural model enables us to systematically separate out effects of demand, cost and strategic factors on observed airline prices.
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