IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v142y2026ics0305048326000204.html

DEA cross-projection method and the correction of the cross-improvement targets

Author

Listed:
  • Ma, Zhanxin
  • Yin, Jie

Abstract

The DEA cross-projection method effectively enhances the objectivity and feasibility of improvement targets by introducing a mutual evaluation system. However, existing methods have not fully addressed the projection points that may exceed the production possibility set. Additionally, improvement targets derived from cross-weights may lack rationality and objectivity, posing a risk of deviating from group consensus. To address these concerns, this paper proposes a novel DEA cross-projection method to rectify the feasibility issues in the original approach. Secondly, this paper presents a cross-improvement target setting method based on group consensus by increasing the collective consensus degree in determining cross-weights. Finally, the proposed method was applied to analyze the energy utilization efficiency of Chinese steel enterprises in 2020. The results indicate that the DEA cross-projection method presented in this paper not only resolves the issue of projection points potentially exceeding the production possibility set but also offers more rational improvement strategies than existing DEA cross-projections by considering weight consensus.

Suggested Citation

  • Ma, Zhanxin & Yin, Jie, 2026. "DEA cross-projection method and the correction of the cross-improvement targets," Omega, Elsevier, vol. 142(C).
  • Handle: RePEc:eee:jomega:v:142:y:2026:i:c:s0305048326000204
    DOI: 10.1016/j.omega.2026.103531
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048326000204
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.omega.2026.103531?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:jomega:v:142:y:2026:i:c:s0305048326000204. 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/wps/find/journaldescription.cws_home/375/description#description .

    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.