IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v335y2026i2p510-525.html

A joint neutral cross efficiency evaluation mechanism based on multiple output dimensions- taking the forestry system as an example

Author

Listed:
  • Huang, Yan
  • Wu, Nan
  • Chen, Siting
  • Wang, Yingming
  • Lin, Jian

Abstract

Modern complex systems often feature multiple output dimensions, making it essential to evaluate efficiency across these diverse outputs. This study introduces a joint neutral cross efficiency evaluation mechanism designed specifically for multiple output dimensions. The mechanism addresses the issue of zero weights by incorporating a minimum weight constraint and formulates an objective function based on a maximization-minimization criterion to reduce efficiency discrepancies. It integrates prospect theory to reflect decision-makers' preferences regarding efficiency deviations and iteratively generates a consistent cross-efficiency matrix aggregation scheme. In comparison with traditional methods, the proposed mechanism employs a unified reference set, ensuring comparability of results across different dimensions. It enhances the coordination and consensus of cross-evaluations across different output dimensions. To illustrate its effectiveness, the mechanism is applied to assess the forestry efficiency of 31 provinces in China. The results indicate two distinct patterns of development: coordinated development across output dimensions and uncoordinated development.

Suggested Citation

  • Huang, Yan & Wu, Nan & Chen, Siting & Wang, Yingming & Lin, Jian, 2026. "A joint neutral cross efficiency evaluation mechanism based on multiple output dimensions- taking the forestry system as an example," European Journal of Operational Research, Elsevier, vol. 335(2), pages 510-525.
  • Handle: RePEc:eee:ejores:v:335:y:2026:i:2:p:510-525
    DOI: 10.1016/j.ejor.2026.03.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221726002687
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2026.03.022?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:ejores:v:335:y:2026:i:2:p:510-525. 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/eor .

    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.