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Effeciency Changes at Major Container Ports in Japan: A Window Application of Data Envelopment Analysis

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  • Hidekazu Itoh

Abstract

Container ports in Japan are not experiencing rapid cargo handling growth. Recently, however, a reorganization of port use is taking place due to a variety of factors like growing container ship size, diversified Asian shipping routes, increasing import cargo and the Great Hanshin earthquake in Kobe in 1995. This paper analyzes the operational efficiency of eight major international container ports using a “window†application of data envelopment analysis for the period between 1990 and 1999. The paper shows a distinction between ports with timely development and sound demand growth and those with deferred re–planning and slow demand recovery. The Port of Tokyo has successfully redeveloped to receive large–sized container vessels and is observing increased and well–balanced incoming and outgoing traffic, and hence remains DEA efficient in our analysis. The Port of Kobe still needs to implement further measures to attract new users and previous users due to the Great Hanshin earthquake. The BCC model of the DEA takes into account small–scale operations of Yokkaichi and Shimizu Ports, and appraises their recent increasing demand for Asian routes. The appropriate design of window length is also proposed in the study.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:revurb:v:14:y:2002:i:2:p:133-152
    DOI: 10.1111/1467-940X.00052
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    1. Dan He & Peng Gao & Zhijing Sun & Yui-yip Lau, 2017. "Measuring Water Transport Efficiency in the Yangtze River Economic Zone, China," Sustainability, MDPI, vol. 9(12), pages 1-13, December.
    2. Chiu, Yung-ho & Huang, Chin-wei & Ma, Chun-Mei, 2011. "Assessment of China transit and economic efficiencies in a modified value-chains DEA model," European Journal of Operational Research, Elsevier, vol. 209(2), pages 95-103, March.
    3. Cullinane, Kevin & Song, Dong-Wook, 2006. "Estimating the Relative Efficiency of European Container Ports: A Stochastic Frontier Analysis," Research in Transportation Economics, Elsevier, vol. 16(1), pages 85-115, January.
    4. 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.
    5. 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.
    6. Gong, Xiaoxing & Wu, Xiaofan & Luo, Meifeng, 2019. "Company performance and environmental efficiency: A case study for shipping enterprises," Transport Policy, Elsevier, vol. 82(C), pages 96-106.
    7. 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.
    8. Shaher Z. Zahran & Jobair Bin Alam & Abdulrahem H. Al-Zahrani & Yiannis Smirlis & Stratos Papadimitriou & Vangelis Tsioumas, 2020. "Analysis of port efficiency using imprecise and incomplete data," Operational Research, Springer, vol. 20(1), pages 219-246, March.
    9. 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.
    10. Nicole Adler & Georg Hirte & Shravana Kumar & Hans-Martin Niemeier, 2022. "The impact of specialization, ownership, competition and regulation on efficiency: a case study of Indian seaports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 507-536, September.
    11. César Ducruet & Hidekazu Itoh, 2016. "Regions and material flows: investigating the regional branching and industry relatedness of port traffics in a global perspective," Journal of Economic Geography, Oxford University Press, vol. 16(4), pages 805-830.
    12. César Ducruet & Hidekazu Itoh, 2022. "Spatial network analysis of container port operations: the case of ship turnaround times," EconomiX Working Papers 2022-15, University of Paris Nanterre, EconomiX.
    13. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    14. Cullinane, Kevin & Wang, Teng-Fei, 2006. "Chapter 23 Data Envelopment Analysis (DEA) and Improving Container Port Efficiency," Research in Transportation Economics, Elsevier, vol. 17(1), pages 517-566, January.
    15. Rabeb KAMMOUN & Souhir ABBES, 2020. "The technical efficiency of Tunisian ports: Comparing data envelopment analysis and stochastic frontier analysis scores," Romanian Journal of Economics, Institute of National Economy, vol. 51(2(60)), pages 83-102, December.
    16. 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.
    17. Shelly-Ann Julien & Jonathan Cowie & Jason Monios, 2020. "Efficiency, productivity and returns to scale in ports: a comparison of data envelopment analysis and econometric estimation with application to Caribbean Small Island Developing States," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(2), pages 239-264, June.
    18. Güner, Samet, 2015. "Investigating infrastructure, superstructure, operating and financial efficiency in the management of Turkish seaports using data envelopment analysis," Transport Policy, Elsevier, vol. 40(C), pages 36-48.
    19. 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.
    20. Shaher Z Zahran & Jobair Bin Alam & Abdulrahem H Al-Zahrani & Yiannis Smirlis & Stratos Papadimitriou & Vangelis Tsioumas, 2017. "Analysis of port authority efficiency using data envelopment analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(3), pages 518-537, August.
    21. Ruhaimatu Abudu & Shiyuan Zheng & Emmanuel Anu Thompson, 2021. "Port Adaptation and Efficiency: An Empirical Study of Ghanaian Ports," International Journal of Regional Development, Macrothink Institute, vol. 8(2), pages 1-36, December.
    22. Shilin Ye & Xinhua Qi & Yecheng Xu, 2020. "Analyzing the relative efficiency of China’s Yangtze River port system," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 640-660, December.
    23. Mrinal Kumar Dasgupta & Deepankar Sinha, 2016. "Impact of Privatization of Ports on Relative Efficiency of Major Ports of India," Foreign Trade Review, , vol. 51(3), pages 225-247, August.
    24. César Ducruet & Hidekazu Itoh, 2022. "Spatial Network Analysis of Container Port Operations: The Case of Ship Turnaround Times," Networks and Spatial Economics, Springer, vol. 22(4), pages 883-902, December.
    25. Yang Lin & Longzhong Yan & Ying-Ming Wang, 2019. "Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach," Sustainability, MDPI, vol. 11(17), pages 1-13, August.

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