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Applying data envelopment analysis to allocate incentive bonuses for container terminal operators

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  • Chao, Shih-Liang
  • Yu, Ming-Miin

Abstract

Incentive bonus payments for terminal operators are mostly based on the size of throughput growth rate. In most cases, this does not encourage terminal operators to effectively utilize the terminal facilities and equipment. Therefore, it is necessary to establish efficiency and scale of operation as the basis for incentive bonus allocations. The importance of this issue is that in some port governance models, concessions are static agreements where fees and other conditions generally do not change over time. This paper introduces the possibility and advantage of data envelopment analysis (DEA)-based incentive bonus allocations that can ensure that the incentive bonuses allocated to terminal operators are based on both the amount of throughput/throughput increment and production efficiency. To this end, three DEA-based incentive bonus allocation models are proposed for different output items. The results show that the incentive bonus allocation approach proposed in this study effectively takes into account the magnitude of the throughput/throughput increment and production efficiency of terminal operators.

Suggested Citation

  • Chao, Shih-Liang & Yu, Ming-Miin, 2022. "Applying data envelopment analysis to allocate incentive bonuses for container terminal operators," Transport Policy, Elsevier, vol. 125(C), pages 231-240.
    • Handle: RePEc:eee:trapol:v:125:y:2022:i:c:p:231-240
    DOI: 10.1016/j.tranpol.2022.03.004
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    as
    1. Talley, Wayne K. & Ng, ManWo & Marsillac, Erika, 2014. "Port service chains and port performance evaluation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 236-247.
    2. Yu, Ming-Miin & Chern, Ching-Chin & Hsiao, Bo, 2013. "Human resource rightsizing using centralized data envelopment analysis: Evidence from Taiwan's Airports," Omega, Elsevier, vol. 41(1), pages 119-130.
    3. J. Luis Guasch, 2004. "Granting and Renegotiating Infrastructure Concessions : Doing it Right," World Bank Publications - Books, The World Bank Group, number 15024, December.
    4. Hidekazu Itoh, 2002. "Effeciency Changes at Major Container Ports in Japan: A Window Application of Data Envelopment Analysis," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 14(2), pages 133-152, July.
    5. Eduardo M. R. A. Engel & Ronald D. Fischer & Alexander Galetovic, 2001. "Least-Present-Value-of-Revenue Auctions and Highway Franchising," Journal of Political Economy, University of Chicago Press, vol. 109(5), pages 993-1020, October.
    6. HATAMI-MARBINI, Adel & TAVANA, Madjid & SAATI, Saber & AGRELL, Per J., 2013. "Allocating fixed resources and setting targets using a common-weights DEA approach," LIDAM Reprints CORE 2474, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Feng Li & Jian Song & Alexandre Dolgui & Liang Liang, 2017. "Using common weights and efficiency invariance principles for resource allocation and target setting," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 4982-4997, September.
    8. Claudio Ferrari & Pier Paolo Puliafito & Alessio Tei, 2019. "Dynamics in terminal concessions: the role of performances," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 99-110, March.
    9. Theys, Christophe & Notteboom, Theo E. & Pallis, Athanasios A. & De Langen, Peter W., 2010. "The economics behind the awarding of terminals in seaports: Towards a research agenda," Research in Transportation Economics, Elsevier, vol. 27(1), pages 37-50.
    10. Gholam Reza Jahanshahloo & Jafar Sadeghi & Mohammad Khodabakhshi, 2017. "Proposing a method for fixed cost allocation using DEA based on the efficiency invariance and common set of weights principles," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 85(2), pages 223-240, April.
    11. Feng Li & Liang Liang & Yongjun Li & Ali Emrouznejad, 2018. "An alternative approach to decompose the potential gains from mergers," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(11), pages 1793-1802, November.
    12. Du, Juan & Cook, Wade D. & Liang, Liang & Zhu, Joe, 2014. "Fixed cost and resource allocation based on DEA cross-efficiency," European Journal of Operational Research, Elsevier, vol. 235(1), pages 206-214.
    13. Cook, Wade D. & Kress, Moshe, 1999. "Characterizing an equitable allocation of shared costs: A DEA approach," European Journal of Operational Research, Elsevier, vol. 119(3), pages 652-661, December.
    14. Beasley, J. E., 2003. "Allocating fixed costs and resources via data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 147(1), pages 198-216, May.
    15. Wang, Grace W.Y. & Pallis, Athanasios A., 2014. "Incentive approaches to overcome moral hazard in port concession agreements," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 162-174.
    16. Chang, Víctor & Tovar, Beatriz, 2014. "Drivers explaining the inefficiency of Peruvian and Chilean ports terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 190-203.
    17. Tongzon, Jose, 2001. "Efficiency measurement of selected Australian and other international ports using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(2), pages 107-122, February.
    18. 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.
    19. Li, Yongjun & Yang, Min & Chen, Ya & Dai, Qianzhi & Liang, Liang, 2013. "Allocating a fixed cost based on data envelopment analysis and satisfaction degree," Omega, Elsevier, vol. 41(1), pages 55-60.
    20. Li, Feng & Zhu, Qingyuan & Chen, Zhi, 2019. "Allocating a fixed cost across the decision making units with two-stage network structures," Omega, Elsevier, vol. 83(C), pages 139-154.
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