IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v91y2006i2p444-461.html
   My bibliography  Save this article

Integrating Technology Traits and Producer Heterogeneity: A Mixed-Multinomial Model of Genetically Modified Corn Adoption

Author

Listed:
  • Pilar Useche
  • Bradford L. Barham
  • Jeremy D. Foltz

Abstract

This article proposes a model of technology adoption that integrates demand for individual traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics. The model is applied to recent genetically modified corn adoption data from Minnesota and Wisconsin farmers, using a mixed-multinomial logit (MMNL) model to estimate the effects of traits and farm and farmer characteristics on adoption outcomes. This approach allows explicit recovery of estimates of farmers’ shadow prices for individual technology traits. Results show the importance of producer and regional heterogeneity in preferences for seed traits. Copyright 2006, Oxford University Press.

Suggested Citation

  • Pilar Useche & Bradford L. Barham & Jeremy D. Foltz, 2006. "Integrating Technology Traits and Producer Heterogeneity: A Mixed-Multinomial Model of Genetically Modified Corn Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(2), pages 444-461.
    • Handle: RePEc:oup:ajagec:v:91:y:2006:i:2:p:444-461
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2008.01236.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Barham, Bradford L. & Chavas, Jean-Paul & Fitz, Dylan & Salas, Vanessa Ríos & Schechter, Laura, 2014. "The roles of risk and ambiguity in technology adoption," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 204-218.
    2. Ma, Xingliang & Shi, Guanming, 2011. "A Dynamic Adoption Model with Bayesian Learning: Application to the U.S. Soybean Market," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 104577, Agricultural and Applied Economics Association.
    3. Magnier, Alexandre & Kalaitzandonakes, Nicholas G. & Miller, Douglas J., 2010. "Product Life Cycles and Innovation in the US Seed Corn Industry," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 13(3), pages 1-20, September.
    4. Ward, Patrick S. & Ortega, David L. & Spielman, David J. & Singh, Vartika, 2013. "Farmer preferences for drought tolerance in hybrid versus inbred rice: Evidence from Bihar, India:," IFPRI discussion papers 1307, International Food Policy Research Institute (IFPRI).
    5. Bonroy, Olivier & Lemarié, Stéphane, 2012. "Downstream labeling and upstream price competition," European Economic Review, Elsevier, vol. 56(3), pages 347-360.
    6. Shi Zheng & Pei Xu & Zhigang Wang, 2012. "Farmers' adoption of new plant varieties under variety property right protection," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(1), pages 124-140, January.

    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:oup:ajagec:v:91:y:2006:i:2:p:444-461. 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.