IDEAS home Printed from https://ideas.repec.org/a/bpj/rneart/v3y2004i2n7.html
   My bibliography  Save this article

An Application of DEA Windows Analysis to Container Port Production Efficiency

Author

Listed:
  • Cullinane Kevin

    () (School of Marine Science & Technology, University of Newcastle)

  • Song Dong-Wook

    (Centre of Urban Planning and Environmental Management, The University of Hong Kong)

  • Ji Ping

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University)

  • Wang Teng-Fei

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University)

Abstract

There have been various analyses of the efficiency of container port (or terminal) production using Data Envelopment Analysis (DEA) based on cross-sectional data. When time is not considered, the efficiency results derived using this approach can be biased. In order to overcome this problem, this paper applies DEA windows analysis, utilising panel data, to a sample of the worlds major container ports in order to deduce their relative efficiency. The results suggest that estimates of container port efficiency fluctuate over time. The paper concludes that existing programming methods for estimating efficiency are inadequate in capturing the long-term increased efficiency and competitiveness that accrue from significant investments.

Suggested Citation

  • Cullinane Kevin & Song Dong-Wook & Ji Ping & Wang Teng-Fei, 2004. "An Application of DEA Windows Analysis to Container Port Production Efficiency," Review of Network Economics, De Gruyter, vol. 3(2), pages 1-23, June.
  • Handle: RePEc:bpj:rneart:v:3:y:2004:i:2:n:7
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/rne.2004.3.2/rne.2004.3.2.1050/rne.2004.3.2.1050.xml?format=INT
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:rneart:v:3:y:2004:i:2:n:7. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla). General contact details of provider: https://www.degruyter.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.