IDEAS home Printed from https://ideas.repec.org/p/ags/aaea05/19202.html
   My bibliography  Save this paper

A Trait Specific Model of GM Crop Adoption among U.S. Corn Farmers in the Upper Midwest

Author

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

Abstract

This work offers a new approach to the adoption of GM crop varieties by adopting the econometric methodology of the characteristics-based demand literature. A random utility framework was implemented through different specifications of a conditional (CL) and a mixed multinomial logit (MMNL) model of crop-variety choice. Willingness-to-pay and price elasticity estimates for traits were calculated. The MMNL approach demonstrates that individuals' tastes for some traits significantly vary across the population. Results further suggest that labor saving technologies have a much wider potential to be adopted. Overall, the use of a trait-based model to examine the adoption patterns of GM crop varieties among corn farmers in Minnesota and Wisconsin reveals a new set of results and lessons that classic adoption models cannot provide.

Suggested Citation

  • Useche, Pilar & Barham, Bradford L. & Foltz, Jeremy D., 2005. "A Trait Specific Model of GM Crop Adoption among U.S. Corn Farmers in the Upper Midwest," 2005 Annual meeting, July 24-27, Providence, RI 19202, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea05:19202
    DOI: 10.22004/ag.econ.19202
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/19202/files/sp05us01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.19202?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Huso, Scott R. & Wilson, William W., 2005. "Strategic Analysis Of Trait Commercialization In Genetically Modified (Gm) Grains: The Case Of Gm Wheat," Agribusiness & Applied Economics Report 23632, North Dakota State University, Department of Agribusiness and Applied Economics.
    2. Fernandez-Cornejo, Jorge & Daberkow, Stan G. & McBride, William D., 2001. "Decomposing The Size Effect On The Adoption Of Innovations: Agrobiotechnology And Precision Farming," 2001 Annual meeting, August 5-8, Chicago, IL 20527, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Agarwal, Bina, 1983. "Diffusion of rural innovations: Some analytical issues and the case of wood-burning stoves," World Development, Elsevier, vol. 11(4), pages 359-376, April.
    4. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    6. 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.
    7. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    8. 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.
    9. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    10. 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.
    11. Louis Anthony Cox Jr. & Weihsueh A. Chiu & David M. Hassenzahl & Daniel M. Kammen, 2000. "Response," Risk Analysis, John Wiley & Sons, vol. 20(3), pages 295-296, June.
    12. Aviv Nevo, 2000. "A Practitioner's Guide to Estimation of Random‐Coefficients Logit Models of Demand," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 9(4), pages 513-548, December.
    13. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    14. Dmitriy Stolyarov & Boyan Jovanovic, 2000. "Optimal Adoption of Complementary Technologies," American Economic Review, American Economic Association, vol. 90(1), pages 15-29, March.
    15. 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.
    16. Fernandez-Cornejo, Jorge & McBride, William D., 2002. "Adoption Of Bioengineered Crops," Agricultural Economic Reports 33957, United States Department of Agriculture, Economic Research Service.
    17. Barry Nalebuff, 2004. "Bundling as an Entry Barrier," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 159-187.
    18. 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.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Yoo, Do-il, 2012. "Individual and Social Learning in Bio-technology Adoption: The Case of GM Corn in the U.S," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124975, Agricultural and Applied Economics Association.
    2. Jennifer Schweiger & Ali Ferjani, 2009. "Determinanten einer potenziellen Anbaubereitschaft von transgenen Kulturen: Untersuchungsregion im Kanton Zürich," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 2(1), pages 59-80.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Yoo, Do-il, 2012. "Individual and Social Learning in Bio-technology Adoption: The Case of GM Corn in the U.S," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124975, Agricultural and Applied Economics Association.
    3. Nathan H. Miller, 2008. "Competition When Consumers Value Firm Scope," EAG Discussions Papers 200807, Department of Justice, Antitrust Division.
    4. Rebecca Hellerstein & Sofia Berto Villas-Boas, 2006. "Arm's-length transactions as a source of incomplete cross-border transmission: the case of autos," Staff Reports 251, Federal Reserve Bank of New York.
    5. Rebecca Hellerstein, 2005. "A Decomposition of the Sources of Incomplete Cross-Border Transmission," 2005 Meeting Papers 805, Society for Economic Dynamics.
    6. Abay, Kibrom A. & Berhane, Guush & Taffesse, Alemayehu Seyoum & Koru, Bethlehem & Abay, Kibrewossen, 2016. "Understanding farmers’ technology adoption decisions: Input complementarity and heterogeneity:," ESSP working papers 82, International Food Policy Research Institute (IFPRI).
    7. Lapo Filistrucchi, 2005. "The Impact of Internet on the Market for Daily Newspapers in Italy," Economics Working Papers ECO2005/12, European University Institute.
    8. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    9. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    10. Sunada, Mitsuru & Noguchi, Masato & Ohashi, Hiroshi & Okada, Yosuke, 2011. "Coverage area expansion, customer switching, and household profiles in the Japanese broadband access market," Information Economics and Policy, Elsevier, vol. 23(1), pages 12-23, March.
    11. Tovar, Jorge, 2012. "Consumers’ Welfare and Trade Liberalization: Evidence from the Car Industry in Colombia," World Development, Elsevier, vol. 40(4), pages 808-820.
    12. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    13. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    14. Don Fullerton & Li Gan & Miwa Hattori, 2015. "A model to evaluate vehicle emission incentive policies in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 79-108, January.
    15. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    16. Meredith Fowlie, 2010. "Emissions Trading, Electricity Restructuring, and Investment in Pollution Abatement," American Economic Review, American Economic Association, vol. 100(3), pages 837-869, June.
    17. Rachel Griffith & Lars Nesheim & Martin O'Connell, 2018. "Income effects and the welfare consequences of tax in differentiated product oligopoly," Quantitative Economics, Econometric Society, vol. 9(1), pages 305-341, March.
    18. Deka, Devajyoti & Carnegie, Jon, 2021. "Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey," Journal of Transport Geography, Elsevier, vol. 91(C).
    19. Matthew Gentzkow, 2006. "Valuing New Goods in a Model with Complementarities: Online Newspapers," NBER Working Papers 12562, National Bureau of Economic Research, Inc.
    20. Peter Davis & Pasquale Schiraldi, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 32-63, March.

    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:aaea05:19202. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (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.