IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v100y2018i1p172-197..html

Improving Spatial Coordination Rates under the Agglomeration Bonus Scheme: A Laboratory Experiment with a Pecuniary and a Non-Pecuniary Mechanism (NUDGE)

Author

Listed:
  • Simanti Banerjee

Abstract

The Agglomeration Bonus is a Payment for Ecosystem Services scheme that focuses on achieving spatially-coordinated land use across neighboring, privately-owned agricultural properties. In this article, I use a laboratory experiment to examine the role of two mechanisms in incentivizing spatially-coordinated land uses under the Agglomeration Bonus scheme on a geographical landscape resembling a local circular network. The first mechanism is pecuniary in format and varies the payoffs associated with coordination, while the second is a non-pecuniary mechanism that varies the amount of information participants have about the land use choices of other participants, specifically of those from another community. The payoff variation is implemented as a within-subject treatment and the information treatment in a between-subject format. The results indicate that the coordination rates are higher if payments associated with coordination are higher. Also, having information about outcomes of the Agglomeration Bonus scheme from another community improves spatial coordination rates in both communities.

Suggested Citation

  • Simanti Banerjee, 2018. "Improving Spatial Coordination Rates under the Agglomeration Bonus Scheme: A Laboratory Experiment with a Pecuniary and a Non-Pecuniary Mechanism (NUDGE)," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 172-197.
  • Handle: RePEc:oup:ajagec:v:100:y:2018:i:1:p:172-197.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aax066
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:oup:ajagec:v:100:y:2018:i:1:p:172-197.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.