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Operational performance evaluation of major container ports in the Asia-Pacific region

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  • L. C. Lin
  • C. C. Tseng

Abstract

If international container ports are to gain a proper appreciation of their various advantages, disadvantages and potential opportunities in a globally competitive environment, it is essential that they conduct effective evaluation of their operational performance. The present study applies five models of data envelopment analysis (DEA) to acquire a variety of complementary information about the operational efficiency of major container ports in the Asia-Pacific region and to identify trends in port efficiency. The study first establishes the causes of inefficiency on the basis of efficiency value analysis. Slack variable analysis is then used to identify potential areas of improvement for inefficient ports. This is followed by the utilization of return to scale analysis to assess whether each port is in a state of increasing, decreasing, or constant return to scale. Finally, a sensitivity analysis is conducted to identify which input or output variables have larger weights in terms of efficiency. The results provide valuable information for port managements in their attempts to establish competitive strategies for the future and to improve their resource utilization for ongoing improvements in operational efficiency.

Suggested Citation

  • L. C. Lin & C. C. Tseng, 2007. "Operational performance evaluation of major container ports in the Asia-Pacific region," Maritime Policy & Management, Taylor & Francis Journals, vol. 34(6), pages 535-551, December.
    • Handle: RePEc:taf:marpmg:v:34:y:2007:i:6:p:535-551
    DOI: 10.1080/03088830701695248
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    Citations

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    Cited by:

    1. Dariusz Bernacki & Christian Lis, 2021. "Investigating the Sustainable Impact of Seaport Infrastructure Provision on Maritime Component of Supply Chain," Energies, MDPI, vol. 14(12), pages 1-22, June.
    2. E. Gutiérrez & S. Lozano & B. Adenso-Díaz & P. González-Torre, 2015. "Efficiency assessment of container operations of shipping agents in Spanish ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(6), pages 591-607, August.
    3. Shui-Mu Ju & Nan Liu, 2015. "Efficiency and its influencing factors in port enterprises: empirical evidence from Chinese port-listed companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(6), pages 571-590, August.
    4. 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.
    5. Kaliszewski, Adam & Kozłowski, Arkadiusz & Dąbrowski, Janusz & Klimek, Hanna, 2021. "LinkedIn survey reveals competitiveness factors of container terminals: Forwarders’ view," Transport Policy, Elsevier, vol. 106(C), pages 131-140.
    6. Renata Guimarães de Oliveira Fontan & Rodrigo Alvarenga Rosa & Adonai José Lacruz, 2022. "The Efficiency of Railways Specialized in Transporting Iron Ore and Pellets," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 26(1), pages 200284-2002.
    7. Yuen, Chi-lok Andrew & Zhang, Anming & Cheung, Waiman, 2012. "Port competitiveness from the users' perspective: An analysis of major container ports in China and its neighboring countries," Research in Transportation Economics, Elsevier, vol. 35(1), pages 34-40.
    8. Chenming Jiang & Linjun Lu & Jian John Lu, 2017. "Socioeconomic factors affecting the job satisfaction levels of self-employed container truck drivers: a case study from Shanghai Port," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(5), pages 641-656, July.
    9. 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.
    10. Odeck, James & Schøyen, Halvor, 2020. "Productivity and convergence in Norwegian container seaports: An SFA-based Malmquist productivity index approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 222-239.
    11. Odeck, James & Bråthen, Svein, 2012. "A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1574-1585.
    12. Zhicheng Shen & Xinliang Xu & Jiahao Li & Shikuan Wang, 2019. "Vulnerability of the Maritime Network to Tropical Cyclones in the Northwest Pacific and the Northern Indian Ocean," Sustainability, MDPI, vol. 11(21), pages 1-14, November.
    13. Yuen, Andrew Chi-lok & Zhang, Anming & Cheung, Waiman, 2013. "Foreign participation and competition: A way to improve the container port efficiency in China?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 220-231.
    14. Shu-Man Chang & Jaw-Shen Wang & Ming-Miin Yu & Kuo-Chung Shang & Shih-Hao Lin & Bo Hsiao, 2015. "An application of centralized data envelopment analysis in resource allocation in container terminal operations," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(8), pages 776-788, November.

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