IDEAS home Printed from https://ideas.repec.org/a/eee/resene/v81y2025ics0928765524000411.html
   My bibliography  Save this article

Observability and stakeholder conflict in resources management

Author

Listed:
  • Holzer, Jorge
  • DePiper, Geret
  • Brooks, Elizabeth N.

Abstract

Heuristic learning from personal experience is hard-wired in humans, but overreliance on experiential samples may lead to biased beliefs when such samples are not representative of the population. Prominent examples include skepticism towards climate change and an increasingly vocal anti-vaccine movement. In turn, biased beliefs may lead to stakeholder conflict when different parties hold competing views of reality and financial stakes are high. In this paper we focus on the commercial fishing industry. We develop a theoretical model to study harvesters’ incentives to challenge the science that informs management when the claims of official science are at odds with their personal experience. In the empirical application, the case of the Georges Bank cod fishery, we estimate the distribution of extra profits industry would expect to earn if their view of science were incorporated into policy. Our findings show strong incentives to lobby for lax regulations even when harvesters hold relatively low confidence in their own beliefs. An impatient industry would have strong incentives to challenge the official science. While the stock would eventually collapse in this scenario, leading to welfare losses, the crash of the cod population would take time. The industry’s overreliance on first-hand observations will ultimately undermine its own interests. This paper highlights the importance of effectively communicating and translating the technical aspects of science to the relevant audiences, particularly those directly impacted by its use in policy.

Suggested Citation

  • Holzer, Jorge & DePiper, Geret & Brooks, Elizabeth N., 2025. "Observability and stakeholder conflict in resources management," Resource and Energy Economics, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:resene:v:81:y:2025:i:c:s0928765524000411
    DOI: 10.1016/j.reseneeco.2024.101465
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0928765524000411
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.reseneeco.2024.101465?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.

    More about this item

    Keywords

    Bounded rationality; Conflict; Heuristic learning; Information; Marine policy;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

    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:resene:v:81:y:2025:i:c:s0928765524000411. 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/inca/505569 .

    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.