北美机场效率基准:生产率指数、数据包络分析和随机前沿分析的比较结果

Zhu Lin, Yap Yin Choo, T. Oum
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引用次数: 11

摘要

本研究采用生产率指数法、数据包络分析法(DEA)和随机前沿分析法(SFA)三种常用的机场效率测量方法,对加拿大和美国62个机场的效率绩效进行了研究。与大多数以前的研究不同,本研究包括机场的航空和非航空输出,因为它们在机场生产中莫名其妙地相互关联。实证结果表明,在排名前15位和排名后15位的机场中,这些替代方法测量的效率得分和排名非常相似,而中等范围的机场之间存在较大差异。我们还发现,在使用的所有三种替代方法中,非航空收入的百分比、客运量、平均飞机尺寸、国际和连接交通的百分比显著影响我们对机场效率的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency Benchmarking of North American Airports: Comparative Results of Productivity Index,Data Envelopment Analysis and Stochastic Frontier Analysis
Using three common methodologies for measuring airport efficiency, namely the productivity index method, Data Envelopment Analysis (DEA) method, and stochastic frontier analysis (SFA) method, this study examines the efficiency performances of 62 Canadian and U.S. airports. Unlike most previous studies, this study includes aeronautical and non-aeronautical outputs of airports as they are inexplicably tied to each other in airport production. The empirical results reveal that the efficiency scores and rankings measured by these alternative methods are quite similar to each other in the top 15 and bottom 15 ranked airports, whereas considerable differences exist among the airports in the middle range. We also found that the percentage of non-aeronautical revenue, passenger volume, average aircraft size, percentages of international and connecting traffic significantly affect our airport efficiency estimates in all of the three alternative approaches used.
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