IDEAS home Printed from https://ideas.repec.org/a/eee/ecotra/v39y2024ics2212012224000182.html
   My bibliography  Save this article

An assessment model of eco-efficiency for container terminals within a port

Author

Listed:
  • Hsu, Wen-Kai K.
  • Huynh, Nguyen Tan
  • Quoc, Thanh Le
  • Yu, Hui-Lung

Abstract

Greenhouse gas emissions, such as carbon dioxide (CO2) from container terminal (CT) operations, generate an adverse impact on the ecological environment in ports. Yet, solutions to abate air pollution in port areas is controversial. To contribute to the relevant literature, this article aims to assess eco-efficiency for container terminals (CTs) inside a port when the unwanted output is taken into consideration. In doing so, the Slacks-Based Measure (SBM)-DEA model was adopted to evaluate the efficiency of CTs while the modality movement approach was deployed to estimate the amount of CO2 released by CT operators. It is found that: (1) Wan-Han is the most efficient CT operator, with an average efficiency of 0.993 during 2017–2019; (2) the unwanted output (i.e., CO2) affects CT operators' efficiency score; (3) inefficient DMUs can improve their operating performance by adopting slack variables.

Suggested Citation

  • Hsu, Wen-Kai K. & Huynh, Nguyen Tan & Quoc, Thanh Le & Yu, Hui-Lung, 2024. "An assessment model of eco-efficiency for container terminals within a port," Economics of Transportation, Elsevier, vol. 39(C).
    • Handle: RePEc:eee:ecotra:v:39:y:2024:i:c:s2212012224000182
    DOI: 10.1016/j.ecotra.2024.100359
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2212012224000182
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecotra.2024.100359?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    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:eee:ecotra:v:39:y:2024:i:c:s2212012224000182. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecotra .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.