IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v15y2025i2p21582440251343695.html
   My bibliography  Save this article

Integrating Multiple-Criteria Decision Making Models to Evaluate Eco-efficiency of Industrial Parks

Author

Listed:
  • Hoang-Phu Nguyen
  • Minh-Tri Ha
  • Minh-Hoang Duong

Abstract

Eco-industrial Parks (EIPs) have become a global industrial development trend that attracted many concerns of governments. The main aim of this research is to introduce an innovative framework that combines Data Envelopment Analysis (DEA) with the Analytic Hierarchy Process (AHP) for the assessment of eco-efficiency in industrial parks (IPs). The study focuses on Vietnam, where 35 industrial parks were assessed through a two-stage evaluation process. In the first stage of the model, IPs are selected with pre-conditions and DEA models evaluate these IPs on four input and three output indicators. In the second stage, nine IPs having top efficiency performance scores are reviewed and evaluated through the AHP process by the relevant experts. The findings have shown that the Khanh Phu Industrial Zone obtained the most eco-efficiency performance among 35 industrial zones in this study. The study contributed to not only a novel research methodology in the eco-industrial literature but also a good reference to practice for developing EIPs.

Suggested Citation

  • Hoang-Phu Nguyen & Minh-Tri Ha & Minh-Hoang Duong, 2025. "Integrating Multiple-Criteria Decision Making Models to Evaluate Eco-efficiency of Industrial Parks," SAGE Open, , vol. 15(2), pages 21582440251, June.
    • Handle: RePEc:sae:sagope:v:15:y:2025:i:2:p:21582440251343695
    DOI: 10.1177/21582440251343695
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440251343695
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440251343695?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
    ---><---

    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:sae:sagope:v:15:y:2025:i:2:p:21582440251343695. 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: SAGE Publications (email available below). General contact details of provider: .

    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.