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Evaluating the operational efficiency of major ports in the Asia-Pacific region using data envelopment analysis

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  • Chun-Chu Liu

Abstract

In recent years, as competition among international ports has intensified, the impartial and objective evaluation of port operational efficiency has become increasingly important in enabling each individual port to understand its peculiar strengths and weaknesses, as well as any immediate threats or opportunities that may affect its competitive environment. This study applies CCR model, BCC model and 3-stage DEA model to evaluate the changes in efficiency that have taken place between 1998 and 2001 in 10 ports in the Asia-Pacific region using cross-period data. The empirical results show that different model will lead to different result. On average, the efficiency estimated by 3-stage DEA procedure is the highest, while CCR efficiency is the lowest. It should be noted that the efficiencies based on CCR and BCC model are somewhat lower than the 3-stage DEA approaches, because they do not take the environmental factors, managerial inefficiency and statistical noises into account.

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  • Chun-Chu Liu, 2008. "Evaluating the operational efficiency of major ports in the Asia-Pacific region using data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 40(13), pages 1737-1743.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:13:p:1737-1743
    DOI: 10.1080/00036840600905126
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    Cited by:

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    2. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    3. Onat, Nuri C. & Noori, Mehdi & Kucukvar, Murat & Zhao, Yang & Tatari, Omer & Chester, Mikhail, 2017. "Exploring the suitability of electric vehicles in the United States," Energy, Elsevier, vol. 121(C), pages 631-642.
    4. Suárez-Alemán, Ancor & Morales Sarriera, Javier & Serebrisky, Tomás & Trujillo, Lourdes, 2016. "When it comes to container port efficiency, are all developing regions equal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 56-77.
    5. Evelin Krmac & Mozhgan Mansouri Kaleibar, 2023. "A comprehensive review of data envelopment analysis (DEA) methodology in port efficiency evaluation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(4), pages 817-881, December.
    6. Matías Herrera Dappe & Ancor Suárez-Alemán, 2016. "Competitiveness of South Asia’s Container Ports," World Bank Publications - Books, The World Bank Group, number 24333.
    7. Sonal Seth & Qianmei Feng, 2020. "Assessment of port efficiency using stepwise selection and window analysis in data envelopment analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 536-561, December.
    8. Merkel, Axel & Holmgren, Johan, 2017. "Dredging the depths of knowledge: Efficiency analysis in the maritime port sector," Transport Policy, Elsevier, vol. 60(C), pages 63-74.
    9. Zhang, Jing & Yang, Dong & Luo, Meifeng, 2024. "Port efficiency types and perspectives: A literature review," Transport Policy, Elsevier, vol. 156(C), pages 13-24.
    10. Congcong Yang & Alfred Taudes & Guozhi Dong, 2017. "Efficiency analysis of European Freight Villages: three peers for benchmarking," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 91-122, March.
    11. Suárez-Alemán, Ancor & Morales Sarriera, Javier & Serebrisky, Tomás & Trujillo, Lourdes, 2016. "When it comes to container port efficiency, are all developing regions equal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 56-77.

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