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A Review of Different Benchmarking Methods in the Context of Regional Airports

机译：区域机场背景下的不同标杆管理方法述评

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This paper reviews the existing literature on airport benchmarking. In addition to assessing the advantages and disadvantages of partial productivity measures (PPM), we also discuss parametric and non-parametric methods with reference to previous applications to the airport sector. Our analytical framework for research synthesis is based on a comparative study of the existing research findings and includes not only results from longitudinal, cross-sectional and panel data analyses but also findings of our own two-stage data envelopment analysis (DEA) case study. Our findings suggest that the more sophisticated approaches can deliver powerful insights into the performance of regional airports. The data for such an analysis are available, yet no previous attempt has been made to apply these methods to the context of regional airports. However, challenges do exist, especially for very small airports, in terms of the reliability, quality, robustness and complexity of such an efficiency analysis. As a result we recommend that an appropriate methodology for comparing the efficiency of regional airports should be based on a combination of PPM with either a two-stage DEA or a stochastic frontier approach approach.
机译：本文回顾了有关机场基准测试的现有文献。除了评估部分生产率测度（PPM）的优缺点外，我们还将参考先前在机场领域的应用来讨论参数化和非参数化方法。我们用于研究综合的分析框架基于对现有研究结果的比较研究，不仅包括纵向，横截面和面板数据分析的结果，还包括我们自己的两阶段数据包络分析（DEA）案例研究的结果。我们的发现表明，更先进的方法可以为地区机场的表现提供有力的见解。可获得用于此类分析的数据，但之前尚未尝试将这些方法应用于地区机场。但是，在这种效率分析的可靠性，质量，鲁棒性和复杂性方面确实存在挑战，尤其是对于非常小的机场。因此，我们建议比较PMA与两阶段DEA或随机前沿方法的适当方法来比较地区机场的效率。

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