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http://dx.doi.org/10.7470/jkst.2013.31.2.011

Analysis of Efficiencies of Korea's Domestic Airports With Radial and Non-radial Approaches  

Jeon, Young In (Graduate School of Logistics, Inha University)
Min, Kyung Chang (Graduate School of Logistics, Inha University)
Ha, Hun-Koo (Graduate School of Logistics, Inha University)
Publication Information
Journal of Korean Society of Transportation / v.31, no.2, 2013 , pp. 11-19 More about this Journal
Abstract
This study analyzed relative efficiencies of fourteen airports in Korea with radial and non-radial approaches such as DEA(Data Envelopment Analysis) and SBM(Slack Based Measure) from 2004 to 2011. To suggest an improvement scheme for these airports, we analyzed slack airports and compared then with respective reference airports. To measure efficiency, we used the length of runway, the number of employees, and the size of terminal as input factors, and the number of passengers, the amount of cargo, and the number of flights as output factors. The analysis results showed that efficiencies of most airports had been decreasing and that the gap between efficient airports and inefficient airports was widening. Additionally, most airports had much slacks in its terminal size. It meant that they had been operated with a size not proportionate to their demands and that it is a major cause of inefficiency.
Keywords
Airport; DEA(Data Envelopment Analysis); Efficiency; Non-radial Approach; SBM(Slack Based Measure);
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  • Reference
1 Air Transport Research Society (2009), ATRS Global Airport Benchmarking Report, The Centre for Transportation Studies, University of British Columbia.
2 Charnes A., Cooper W. W., Rhodes E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research, Vol.2, pp.429-441.   DOI   ScienceOn
3 Kim Y. H., Ha H. K. (2010), Analysis of Productivity Changes in Korea's Domestic Airports with DEA-Malmquist Productivity Index, Journal of the Aviation Management Society of Korea, Vol.8 No.1, pp.15-28.
4 Korea Airports Corporation (2011), 2010 Annual Report.
5 Lozano S., Gutierrez E. (2010), Slack-based measure of efficiency of airports with airplanes delays as undesirable outputs, Computers and Operations Research, Vol.38, pp.131-139.
6 Martin J. C., Roman C. (2006), A benchmarking analysis of Spanish commercial airports, A comparison between SMOP and DEA ranking methods, Networks and Spatial Economics, Vol.6, No.2, pp.111-134.   DOI
7 Martin J. C., Roman C., Voltes-Dorta A. (2009), A stochastic frontier analysis to estimate the relative efficiency of Spanish airports, Journal of Productivity Analysis, Vol.31, No.3, pp.163-176.   DOI
8 Oum T. H., Yan J., Yu C. (2008), Ownership Forms Matter for Airport Efficiency: A Stochastic Frontier Investigation of Worldwide Airports, Journal of Urban Economics, Vol.64, No.2, pp.422-435.   DOI   ScienceOn
9 Pels E., Nijkamp P., Rietveld P. (2003), Inefficiencies and Scale Economies of European Airport Operations, Transportation Research Part E: Logistics and Transportation Review, Vol.39, No.5, pp.341-361.   DOI   ScienceOn
10 Pestana Barros C. (2008), Technical Efficiency of U.K. Airports, Journal of Air Transport Management, Vol.14, No.4, pp.175-178.   DOI   ScienceOn
11 Tone K. (2001), A slacks-based measure of super-efficiency in data envelopment analysis, European Journal of Operational Research, Vol.143, pp.32-41.
12 Yang H. H. (2010), Measuring the efficiencies of Asia-Pacific international airports-parametric and nonparametric evidence, Computers and Industrial Engineering, Vol.59, pp.697-702.   DOI   ScienceOn
13 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, Vol.40, No.6, pp.533-546.   DOI   ScienceOn