Abstract
The aim of this chapter is to apply an extended DEA model emerging from a blend of a Stepwise Improvement-distance friction minimization (DFM) model and a Fixed-Factor (FF) model, for generating an appropriate efficiency-improvement projection model. A DFM model serves to improve the performance of business activities by identifying the most appropriate movement toward the efficiency frontier surface. Likewise, a context-dependent (CD) model seeks to reach efficient frontiers in a series of steps. A Stepwise Improvement-DFM model will be integrated here with a DFM and CD model. An extension of a Stepwise Improvement-DFM model is next achieved by including an FF. DEA is used in our comparative study on the efficiency assessment of airport operations in Japan. We consider three inputs (nonlabor material costs, labor input, and total runway length) and one output (operating airport revenues), including a fixed input factor (viz., total runway length). The abovementioned Stepwise Improvement-DFM-FF projection model is next illustrated on the basis of a comparative study regarding an efficiency assessment of airports in Japan.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adler, N., & Golany, B. (2001). Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe. European Journal of Operational Research, 132(2), 260–273.
Bazargan, M., & Vasigh, B. (2003). Size versus efficiency: A case study of US commercial airports. Journal of Air Transport Management, 9(3), 187–193.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Fernandes, E., & Pacheco, R. R. (2002). Efficient use of airport capacity. Transportation Research Part A: Policy and Practice, 36(3), 225–238.
Graham, A. (2005). Airport benchmarking: A review of the current situation. Benchmarking: An International Journal, 12(2), 99–111.
Japanese Ministry of Land, Infrastructure, Transport and Tourism. (2010). Revenue and expenditure 2007.
Kamp, V., Niemeier, H. M., & Müller, J. (2007). What can be learned from benchmarking studies? Examining the apparent poor performance of German airports. Journal of Airport Management, 1(3), 294–308.
MartÃn, J. C., & Román, C. (2001). An application of DEA to measure the efficiency of Spanish airports prior to privatization. Journal of Air Transport Management, 7(3), 149–157.
Pels, E., Nijkamp, P., & Rietveld, P. (2003). Inefficiencies and scale economies of European airport operations. Transportation Research Part E: Logistics and Transportation Review, 39(5), 341–361.
Seiford, L. M., & Zhu, J. (2003). Context-dependent data envelopment analysis – Measuring attractiveness and progress. Omega, 31, 397.
Suzuki, S., & Nijkamp, P. (2014). A stepwise efficiency improvement DEA model for airport management with a fixed runway capacity. Karlsruhe Papers in Economic Policy Research, 34, 233–254.
Suzuki, S., Nijkamp, P., Rietveld, P., & Pels, E. (2010). A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency. European Journal of Operational Research, 207, 1104–1115.
Yoshida, Y., & Fujimoto, H. (2004). Japanese airport benchmarking with the DEA and endogenous weight TFP methods: Testing the criticism of overinvestment in Japanese regional airports. Transportation Research Part E: Logistics and Transportation Review, 40(6), 533–546.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this chapter
Cite this chapter
Suzuki, S., Nijkamp, P. (2017). Performance Measurement of Airport Operations in Japan: Combination of a Stepwise Improvement Model with a Fixed-Factor Model. In: Regional Performance Measurement and Improvement. New Frontiers in Regional Science: Asian Perspectives, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-0242-7_12
Download citation
DOI: https://doi.org/10.1007/978-981-10-0242-7_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0241-0
Online ISBN: 978-981-10-0242-7
eBook Packages: Economics and FinanceEconomics and Finance (R0)