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

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  • 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
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    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2008.01236.x
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    Cited by:

    1. 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.
    2. 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).
    3. Bonroy, Olivier & Lemarié, Stéphane, 2012. "Downstream labeling and upstream price competition," European Economic Review, Elsevier, vol. 56(3), pages 347-360.
    4. 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.
    5. 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.
    6. 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.

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