IDEAS home Printed from https://ideas.repec.org/p/ags/nddaae/128033.html
   My bibliography  Save this paper

Valuing New Random GM Traits: The Case of Drought Tolerant Wheat

Author

Listed:
  • Shakya, Sumadhur
  • Wilson, William W.
  • Dahl, Bruce L.

Abstract

There has been an increase in support for developing genetic modification (GM) technology in wheat. The purpose of this paper was to develop an analytical model to analyze the value of GM traits at different phases of development. To do so we developed a stochastic binomial model of real options. The results indicate that the value of drought tolerant wheat using GM technology is in-the-money at each phase of development. The greatest value would accrue to the Prairie Gateway and northern Great Plains regions in the United States.

Suggested Citation

  • Shakya, Sumadhur & Wilson, William W. & Dahl, Bruce L., 2012. "Valuing New Random GM Traits: The Case of Drought Tolerant Wheat," Agribusiness & Applied Economics Report 128033, North Dakota State University, Department of Agribusiness and Applied Economics.
  • Handle: RePEc:ags:nddaae:128033
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/128033
    Download Restriction: no

    References listed on IDEAS

    as
    1. Guanming Shi & Jean-paul Chavas & Kyle Stiegert, 2010. "An Analysis of the Pricing of Traits in the U.S. Corn Seed Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1324-1338.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Crop Production/Industries; Productivity Analysis; Research and Development/Tech Change/Emerging Technologies;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:nddaae:128033. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/dandsus.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.