IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v154y2026ics0140988325009466.html

NIMBY-ism and green energy infrastructure: A strategic risk disclosure approach

Author

Listed:
  • Yu, Liukai
  • Goh, Mark
  • Zheng, Junjun

Abstract

The resistance toward green energy infrastructure (GEI) often leads to a NIMBY (Not in My BackYard) event, and this can challenge green energy development. This paper proposes an approach for alleviating NIMBYism through strategic risk information disclosure. It involves the project developer of the GEI committing ex-ante (before risk investigation) to a signaling mechanism that strategically discloses informed signals about the risk of the GEI to the local community, who may hold heterogeneous risk priors and engage in preference-driven social learning within the community. For this, a signaling mechanism based on a network persuasion model coupled with communication learning dynamics is developed. Our results suggest that resident heterogeneity converge to divergent consensus unions (subgroups), manifesting a social stratification and segregation phenomenon in NIMBYism. The optimal signaling mechanism is a tiered threshold recommendation structure, setting tailored thresholds for each community subgroup that commits to recommending acceptance when the risk level investigated does not exceed the threshold. The effectiveness of strategic disclosure is moderated by the external benefits and the prior pessimism of the community. It may underperform or even fail under low compensation and GEI's positive externality when dealing with a conservative community. Segregation among the community subgroups is not necessarily unfavorable. Additionally, we make two extension analyses on private priors of the residents and differentiated compensation for the divergent unions. These findings can inform policy on crafting strategic risk disclosure to address NIMBYism in GEIs.

Suggested Citation

  • Yu, Liukai & Goh, Mark & Zheng, Junjun, 2026. "NIMBY-ism and green energy infrastructure: A strategic risk disclosure approach," Energy Economics, Elsevier, vol. 154(C).
  • Handle: RePEc:eee:eneeco:v:154:y:2026:i:c:s0140988325009466
    DOI: 10.1016/j.eneco.2025.109116
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325009466
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2025.109116?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:eneeco:v:154:y:2026:i:c:s0140988325009466. 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/eneco .

    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.