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A Trait Specific Model of GM Crop Adoption by Minnesota and Wisconsin Corn Farmers

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  • Useche, Pilar
  • Barham, Bradford
  • Foltz, Jeremy

Abstract

Advances in the genetic modification of agricultural seeds have allowed a range of new opportunities for manipulating seed traits according to production, market and environmental concerns. As seed varieties continue to become increasingly differentiated, preferences for specific seed traits may be expected to impart significant effects on farmer demand for new seeds. This paper proposes a model of technology adoption that integrates demand for traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics. The model is applied to recent GM corn adoption data from Minnesota and Wisconsin farmers, and uses conditional logit and mixed multinomial logit econometric models to estimate the effects of traits and farm and farmer characteristics on adoption outcomes.

Suggested Citation

  • Useche, Pilar & Barham, Bradford & Foltz, Jeremy, 2006. "A Trait Specific Model of GM Crop Adoption by Minnesota and Wisconsin Corn Farmers," Working Papers 201525, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    • Handle: RePEc:ags:uwfswp:201525
    DOI: 10.22004/ag.econ.201525
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    1. Hausman, Jerry A & Wise, David A, 1978. "A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
    2. Alston, Julian M. & Hyde, Jeffrey & Marra, Michele C. & Mitchell, Paul D., 2003. "An Ex Ante Analysis of the Benefits from the Adoption of Corn Rootworm Resistant, Transgenic Corn Technology," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57828, Australian Agricultural and Resource Economics Society.
    3. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    4. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    5. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    6. Bhat, Chandra R., 1998. "Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 455-466, September.
    7. Zepeda, Lydia, 1990. "Predicting Bovine Somatotropin Use By California Dairy Farmers," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(1), pages 1-8, July.
    8. Duffy, Michael, 2001. "Who Benefits from Biotechnology?," Staff General Research Papers Archive 2084, Iowa State University, Department of Economics.
    9. Dmitriy Stolyarov & Boyan Jovanovic, 2000. "Optimal Adoption of Complementary Technologies," American Economic Review, American Economic Association, vol. 90(1), pages 15-29, March.
    10. Fernandez-Cornejo, Jorge & Alexander, Corinne & Goodhue, Rachael E., 2002. "Dynamic Diffusion with Disadoption: The Case of Crop Biotechnology in the USA," Agricultural and Resource Economics Review, Cambridge University Press, vol. 31(1), pages 112-126, April.
    11. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    12. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    14. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    15. Bradford L. Barham, 1996. "Adoption of a Politicized Technology: bST and Wisconsin Dairy Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 1056-1063.
    16. Marra, Michele C. & Hubbell, Bryan J. & Carlson, Gerald A., 2001. "Information Quality, Technology Depreciation, And Bt Cotton Adoption In The Southeast," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-18, July.
    17. Bradford L. Barham & Jeremy D. Foltz & Douglas Jackson-Smith & Sunung Moon, 2004. "The Dynamics of Agricultural Biotechnology Adoption: Lessons from series rBST Use in Wisconsin, 1994–2001," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 61-72.
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