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Comparative Analysis of Production Possibility Frontier in Measuring Social Efficiency with Data Envelopment Analysis: An Application to Airports

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  • Tae-Woong Yang

    (Graduate School of Logistics, Inha University, Incheon 22212, Korea)

  • Joon-Ho Na

    (Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Hun-Koo Ha

    (Graduate School of Logistics, Inha University, Incheon 22212, Korea)

Abstract

The environmental sustainability is a globally important issue, particularly in the global warming. There are many institutions and people who are interested in the greenhouse gases emissions issue and policies that attempt to improve the problem. The aviation industry is not an exception. Under this background, there has been much research on airport efficiency analysis, undesirable outputs, and on evaluating productivity with respect to environmental factors. In the efficiency analysis models with the undesirable outputs in the airports, there are two main types of production possibility frontiers. The first type is the frontier based on the Shephard technology, which involves a weak-disposability concept, using a single abatement factor. The second one is the frontier on the Lozano-Gutiérrez technology, which tries to take the weak disposability into account by regarding the undesirable outputs as input. However, they have limitations. Additionally, no study has provided how to apply weak disposability correctly. To find out the limitations and give standard to utilize weak disposability, we compare models with two issues that must be scrutinized. In this paper, we show that these two concepts have limitations in making the production possibility area. To overcome this limitation, we propose an undesirable-output model using multiple abatement factors based on weak disposability with the slack-based measure (SBM) approach. We analyze, comparatively, the different social efficiency performances according to two issues among the three approaches in estimating production possibility frontier, using the Shepard model, the Lozano-Gutierrez model, and our proposed model. To provide correct standard of measurement and apply characteristics of undesirable outputs, we study not only theoretically, but also empirically, with data from Korea’s 13 domestic airports.

Suggested Citation

  • Tae-Woong Yang & Joon-Ho Na & Hun-Koo Ha, 2019. "Comparative Analysis of Production Possibility Frontier in Measuring Social Efficiency with Data Envelopment Analysis: An Application to Airports," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:2181-:d:222007
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    References listed on IDEAS

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    1. Ha, Hun-Koo & Wan, Yulai & Yoshida, Yuichiro & Zhang, Anming, 2013. "Airline market structure and airport efficiency: Evidence from major Northeast Asian airports," Journal of Air Transport Management, Elsevier, vol. 33(C), pages 32-42.
    2. Fan, L.W. & Wu, F. & Zhou, P., 2014. "Efficiency measurement of Chinese airports with flight delays by directional distance function," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 140-145.
    3. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    4. Pathomsiri, Somchai & Haghani, Ali & Dresner, Martin & Windle, Robert J., 2008. "Impact of undesirable outputs on the productivity of US airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(2), pages 235-259, March.
    5. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
    6. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    7. Yu, Ming-Miin, 2004. "Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors," Journal of Air Transport Management, Elsevier, vol. 10(5), pages 295-303.
    8. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    9. Podinovski, Victor V. & Kuosmanen, Timo, 2011. "Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions," European Journal of Operational Research, Elsevier, vol. 211(3), pages 577-585, June.
    10. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    11. Rolf Färe & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
    12. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    13. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    14. H. Son Nghiem & T. Coelli, 2002. "The Effect of Incentive Reforms Upon Productivity: Evidence from the Vietnamese Rice Industry," Journal of Development Studies, Taylor & Francis Journals, vol. 39(1), pages 74-93.
    15. Andrés J. Picazo-Tadeo & Diego Prior, 2005. "Efficiency and Environmental Regulation: A "Complex Situation"," Working Papers 0502, Departament Empresa, Universitat Autònoma de Barcelona, revised Feb 2005.
    16. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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    Cited by:

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    2. Güner, Samet & Cebeci, Halil İbrahim & Antunes, Jorge Junio Moreira & Wanke, Peter F., 2021. "Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon's entropy," Journal of Air Transport Management, Elsevier, vol. 92(C).
    3. Cifuentes-Faura, Javier & Faura-Martínez, Ursula, 2023. "Measuring Spanish airport performance: A bootstrap data envelopment analysis of efficiency," Utilities Policy, Elsevier, vol. 80(C).

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