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A Stepwise Efficiency Improvement DEA Model for Airport Operations with Fixed Production Factors

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  • Soushi Suzuki
  • Peter Nijkamp

Abstract

In the spirit of the deregulation movement, Japan is also faced with an "Asia Open Sky" agreement which favours aviation liberalization in international services. This means an end to Japan's aviation policy of isolation. In association with this policy change, also environmental concerns grew increasingly severe for small and local regional airports. Consequently, there is a need for an objective analysis of the efficiency of airport operations in Japan. A standard tool to judge the efficiency of such activities is Data Envelopment Analysis (DEA). In the past years, much progress has been made to extend this approach in various directions. Interesting examples are the Distance Friction Minimization (DFM) model and the Context-Dependent (CD) model. The DFM model is based on a generalized distance friction function and serves to improve the performance of a Decision Making Unit (DMU) by identifying the most appropriate movement towards the efficiency frontier surface. Standard DEA models use a uniform input reduction in the improvement projections, but the DFM approach aims to enhance efficiency strategies by introducing a weighted projection function. This approach may address both input reduction and output increase as a strategy of a DMU. Likewise, the CD model yields efficient frontiers at different levels, while it is based on a level-by-level improvement projection. The Stepwise DFM model is an integration of the DFM and the CD model in order to design a stepwise efficiency-improving projection model for a conventional DEA. In general, a DEA model and neither the mix of the DFM-CD model doesn't take into account a fixed factor. Such a non-controllable of fixed factor may refer to a production factor that cannot be flexibly adjusted in the short run. In our study the newly integrated Stepwise DFM-CD model will be extended with a fixed factor model in order to adapt the DEA model to realistic circumstances in an efficiency improvement projection. The above-mentioned stepwise fixed factor projection model is illustrated on the basis of an application to the efficiency analysis of airport operations in Japan in light of the above mentioned contextual changes in aviation policy.

Suggested Citation

  • Soushi Suzuki & Peter Nijkamp, 2011. "A Stepwise Efficiency Improvement DEA Model for Airport Operations with Fixed Production Factors," ERSA conference papers ersa11p1065, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa11p1065
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    References listed on IDEAS

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    1. Soushi Suzuki & Peter Nijkamp & Piet Rietveld, 2011. "Regional efficiency improvement by means of data envelopment analysis through Euclidean distance minimization including fixed input factors: An application to tourist regions in Italy," Papers in Regional Science, Wiley Blackwell, vol. 90(1), pages 67-89, March.
    2. Suzuki, Soushi & Nijkamp, Peter & Rietveld, Piet & Pels, Eric, 2010. "A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1104-1115, December.
    3. Soushi Suzuki & Peter Nijkamp, 2011. "A stepwise-projection data envelopment analysis for public transport operations in Japan," Letters in Spatial and Resource Sciences, Springer, vol. 4(2), pages 139-156, July.
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    Cited by:

    1. Edgar Ferreira Damacena & Peter Fernandes Wanke & Henrique Luiz Correa, 2016. "Infrastructure expansion in Brazilian airports: slack analysis using a distance friction minimization approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(2), pages 181-198, June.
    2. Kaya, Gizem & Aydın, Umut & Karadayı, Melis Almula & Ülengin, Füsun & Ülengin, Burç & İçken, Ayhan, 2022. "Integrated methodology for evaluating the efficiency of airports: A case study in Turkey," Transport Policy, Elsevier, vol. 127(C), pages 31-47.

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