IDEAS home Printed from https://ideas.repec.org/a/eee/ecoser/v76y2025ics2212041625000968.html

The interaction of financial incentives and social norms to motivate conservation on the Tibetan Plateau

Author

Listed:
  • Kerr, John M.
  • Bum, Tsering
  • Liu, Rain Wuyu
  • Zhao, Jinhua
  • Zhi, Lu
  • Lapinski, Maria Knight

Abstract

Recent years have seen both increased use of financial incentives to promote conservation behavior, and increased interest in understanding how social norms can be utilized to encourage conservation. However, there remains limited understanding of how norms and incentives interact to affect people’s willingness to undertake incentivized behaviors. We advance existing research, testing aspects of a theory of social norms and financial incentives to predict and explain conservation behavior. We study a population of ethnically Tibetan pastoralists in Qinghai, China, an area of critical conservation importance both for its role as the source of the drinking water supply for over a billion people downstream and for its ecosystems (including wildlife), where financial incentives for conservation have been introduced. We examine how local yak herders respond to a hypothetical program to reduce their herd size in exchange for a monetary incentive. Appealing to descriptive social norms in favor of joining the program motivates increased participation, and it reduces the likelihood of reversing the herd size reduction when the program ends. However, as the payment size increases, the effect of norms diminishes. Our findings indicate that cultural factors – in this case religious orientation against treating animals as a commodity – can be a stronger motivator than social norms.

Suggested Citation

  • Kerr, John M. & Bum, Tsering & Liu, Rain Wuyu & Zhao, Jinhua & Zhi, Lu & Lapinski, Maria Knight, 2025. "The interaction of financial incentives and social norms to motivate conservation on the Tibetan Plateau," Ecosystem Services, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:ecoser:v:76:y:2025:i:c:s2212041625000968
    DOI: 10.1016/j.ecoser.2025.101792
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2212041625000968
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecoser.2025.101792?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

    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:ecoser:v:76:y:2025:i:c:s2212041625000968. 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: https://www.journals.elsevier.com/ecosystem-services .

    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.