DOI QR코드

DOI QR Code

Measure the Productivity of Airports in Korea Considering Environment Factor : An Application of DEA

환경요소를 고려한 국내공항 생산성 측정 : DEA모형의 적용

  • Jeon, Seung-Jin (Department of Industrial Management Engineering, Korea University) ;
  • Lee, Chul-Ung (Division of Industrial Management Engineering, Korea University and Graduate Management of Technology)
  • 전승진 (고려대학교 산업경영공학과) ;
  • 이철웅 (고려대학교 산업경영공학부.기술경영전문대학원)
  • Received : 2011.09.10
  • Accepted : 2011.11.10
  • Published : 2011.12.01

Abstract

In the recent, it is gradually important for airport to consider environmental aspects as sustainable development is emerged. ICAO, FAA and individual countries has tried to reduce airport noise and pollution. Thus, the effort is needed to incorporate environmental factor into productivity indicator of airport. Our paper use DEA method with the non-parametric directional output distance function(DDF) to assess productivity of 14 airports in Korea during 2008~2010. In addition to three inputs, two conventional outputs, two undesirable outputs have been considered : noise and air pollution. Results are compared from models that do not include undesirable outputs. Inclusion in the analysis of the undesirable effects of airport operations leads to greater and closer airport's efficiency scores.

Keywords

References

  1. Alam, J. B. and Karim, D. M. (1998), Air Travel Demand Model For Domestic Air Transportation in Bangadesh, Journal of Civil Engineering, 26(1).
  2. Alder, N. and Berechman, J. (2001), Measuring airport quality from the airlines' viewpoint : an application of data envelopment analysis, Transport Policy, 8(3), 171-181. https://doi.org/10.1016/S0967-070X(01)00011-7
  3. Alirezaee, M. R. and Afsharian, M. (2007), Model difficulties of DEA technique in the presence of special DMUs, Applied mathematics and Computation, 186(2), 1600-1611. https://doi.org/10.1016/j.amc.2006.08.067
  4. Bazargan, M. and Vasigh, B. (2003), Size versus efficiency : a case study of US commercial airports, Journal of Air Transport Management, 9(3), 187-193. https://doi.org/10.1016/S0969-6997(02)00084-4
  5. Boussofiane, A., Dyson, R. G., and Thanassoulis, E. (1991), Applied Data Envelopment Analysis, European Journal of Operational Research, 152(1), 1-15.
  6. Chambers, R. G., Chung, Y., and Färe, R. (1996), Benefit and distance function, Journal of Economic Theory, 70, 407-419. https://doi.org/10.1006/jeth.1996.0096
  7. Chambers, R. G., Chung, Y., and Färe, R. (1998), Profit, directional distance function and Nerlovian efficiency, Journal of Optimisation Theory and Applications, 98(2), 351-364. https://doi.org/10.1023/A:1022637501082
  8. Chung, Y. H., Färe, R., and Grosskopf, S. (1997), Productivity and undesirable outputs : a directional distance function approach, Journal of Environmental Management, 51(3), 229-240. https://doi.org/10.1006/jema.1997.0146
  9. Coelli, T., Grifell-Tatje, E., and Perelman, S. (2002), Capacity utilization and profitability : a decomposition of short-run profit efficiency, International Journal of Production Economics, 79, 261-278. https://doi.org/10.1016/S0925-5273(02)00236-0
  10. Cooper, W. W., Seiford, L. M., and Tone, K. (2000), Data Envelopment Analysis : A Comprehensive Text with Models, Applications, References and DEA-solver Software. Kluwer Academic Publishers.
  11. Dings, J. M. W., Wit, R. C. N., Leurs, B. A., Davidson, M. D., and Fransen, W. (2003), External Costs of Aviation, Berlin, Federal Environmental Agency, Umweltbundesamt.
  12. Färe, R. and Grosskopf, S. et al. (1989), Multiateral productivity comparisons when some outputs are undesirable : a nonparametric approach, The Review of Economics and Statistics, 72, 90-98.
  13. Färe, R. and Grosskopf, S. (2000), Theory and application of directional distance function, Journal of Productivity Analysis, 13, 93- 130. https://doi.org/10.1023/A:1007844628920
  14. Fernandes, E. and Pacheco, R. R. (2002), Efficient Use of Airport Capacity, Transportation Research Part A, 36(3), 225-238. https://doi.org/10.1016/S0191-2615(00)00048-5
  15. Gillen, D. and Lall. A. (1997), Developing measures of airport productivity and performance : an application of data envelopment analysis, Transportation Research Part E, 33(4), 261-273. https://doi.org/10.1016/S1366-5545(97)00028-8
  16. Graham, G. (2005), Airport benchmarking : a review of the current situation, Benchmarking : An International Journal, 12(2), 99-111.
  17. Hooper, P. and Hensher, D. (1998), Measuring total factor productivity of airports-an index number approach, Institute of Transport Studies Working Paper ITS-WP-98-2, Monash University, Sydney.
  18. Joe, Z. (2003), Quantitative models for performance evaluation and benchmarking-Data Envelopment Analysis with Spreadsheets and DEA Excel Solver, Kluwer Academic Publishers.
  19. Martin, J. and Roman, C. (2000), An application of DEA to measure the efficiency of Spanish airports prior to privatization, Journal of Air Transport Management, 7(3), 149-157.
  20. Nehiem, H. S. and Coeilli, T. (2001), The effect of incentive reforms upon productivity : evidence from the Vietamese rice industry, Department of Economics Working paper, University of New England, Armidale.
  21. Parker, D. (1999), The performance of BAA Before and after privatization, Journal of Transport Economics and Policy, 33(Part2), 133- 146.
  22. Pels, E., Nijkamp, P., and Rietveld, P. (2001), Relative efficiency of European airports, Transport Policy, 8(3), 183-192 https://doi.org/10.1016/S0967-070X(01)00012-9
  23. Sakis, J. (2000), An analysis of the operational efficiency of major airports in the United States, Journal of Operational Research, 18(3), 335-351.
  24. Salazar de la Cruz, F. (1999), A DEA approach to the airport productivity function, International Journal of Transport Economics, 26(2), 255-270.
  25. Seiford, L. M. and Zhu, J. (2002), Modeling undesirable factors in efficiency evaluation, European Journal of Operational Research, 142 (1), 16-20 https://doi.org/10.1016/S0377-2217(01)00293-4
  26. Somchai, P. et al. (2008), Impact of undesirable outputs on the productivity of US airports, Transportation Research Part E, 44(2), 235-259. https://doi.org/10.1016/j.tre.2007.07.002
  27. Tolofari, S., Ashford, N., and Caves. R. (1990), The cost of air service fragmentation, Department of Transport Technology Working Paper TT9010, Lough borough University of Technology.
  28. Yoshida, Y. and 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, 40(6), 533-546. https://doi.org/10.1016/j.tre.2004.08.003
  29. Yu, M. M. (2004), Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors, Journal of Air Transport Management, 10, 295-303. https://doi.org/10.1016/j.jairtraman.2004.04.001
  30. Yu, M. M. and Hsu, S. H. (2008), Productivity growth of Taiwan's domestic airports in the presence of aircraft noise, Transportation Research Pare E, 44(3), 543-554.

Cited by

  1. Airport Security Process Improving for Advanced Operation and Smart Airport Framework Design vol.39, pp.2, 2013, https://doi.org/10.7232/JKIIE.2013.39.2.129
  2. Efficiency Comparison and Performance Targets for Academic Departments in the Local Private College Using DEA vol.39, pp.4, 2013, https://doi.org/10.7232/JKIIE.2013.39.4.298
  3. University Ranking Model Considering the Statistical Characteristics of Indicators vol.40, pp.1, 2014, https://doi.org/10.7232/JKIIE.2014.40.1.140
  4. Efficiency Analysis and Strategic Portfolio Model of National Health Technology R&D Program Using DEA : Focused on Translational Research vol.40, pp.2, 2014, https://doi.org/10.7232/JKIIE.2014.40.2.172
  5. Measuring the Efficiency of Investment in the Deployment and Technology Development of Renewable Energy in Korea Using the DEA vol.40, pp.4, 2014, https://doi.org/10.7232/JKIIE.2014.40.4.358