A Review of Different Benchmarking Methods in the Context of Regional Airports
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 fr...
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Published in | Transport reviews Vol. 32; no. 3; pp. 379 - 395 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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01.05.2012
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Abstract | 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. |
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AbstractList | 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. [PUBLICATION ABSTRACT] 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. |
Author | Brathen, Svein Odeck, James Merkert, Rico Pagliari, Romano |
Author_xml | – sequence: 1 givenname: Rico surname: Merkert fullname: Merkert, Rico email: rico.merkert@sydney.edu.au organization: Department of Air Transport , Cranfield University – sequence: 2 givenname: James surname: Odeck fullname: Odeck, James organization: Department of Transport Engineering , The Norwegian University of Science and Technology – sequence: 3 givenname: Svein surname: Brathen fullname: Brathen, Svein organization: Department of Economics , Molde University College – sequence: 4 givenname: Romano surname: Pagliari fullname: Pagliari, Romano organization: Department of Air Transport , Cranfield University |
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SubjectTerms | Airports Benchmarking Benchmarks Comparative studies Cross sections Data analysis Data processing Mathematical analysis Methods Operations research Productivity measurement Regional Robustness |
Title | A Review of Different Benchmarking Methods in the Context of Regional Airports |
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