IDEAS home Printed from https://ideas.repec.org/p/ags/aaea16/235998.html
   My bibliography  Save this paper

Into the Weeds: A Structural Model of Herbicide Demand and Glyphosate Resistance on U.S. Corn Farms

Author

Listed:
  • Wechsler, Seth J.
  • McFadden, Jonathan R.
  • Smith, David J.

Abstract

The first case of glyphosate resistant weeds was documented in 1998, two years after the commercialization of genetically engineered, herbicide tolerant (HT) corn and soybeans. Currently, over 14 resistant weed species affect U.S. crop production areas. This study uses a novel two-stage, structural model to derive cost functions for pre-emergent and postemergent herbicide use. The parameters of the structural model are estimated using censored nonlinear full information maximum likelihood. Control functions from firststage regressions account for endogeneity of farmers’ profit-maximizing decisions. The results of the analysis are used to determine the extent to which resistance has eroded the benefits associated with glyphosate applications in HT production systems. Our preliminary results suggest that glyphosate resistance may have decreased weed control by as much as 11 percentage points from 2005 to 2010.

Suggested Citation

  • Wechsler, Seth J. & McFadden, Jonathan R. & Smith, David J., 2016. "Into the Weeds: A Structural Model of Herbicide Demand and Glyphosate Resistance on U.S. Corn Farms," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235998, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:235998
    DOI: 10.22004/ag.econ.235998
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/235998/files/Into%20the%20Weeds%20_AAEA%202016_.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.235998?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. Steven T. Yen, 2002. "Beverage consumption among US children and adolescents: full-information and quasi maximum-likelihood estimation of a censored system," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(1), pages 85-104, March.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    3. Erik Lichtenberg & David Zilberman, 1986. "The Econometrics of Damage Control: Why Specification Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 261-273.
    4. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    5. Robert G. Chambers & Erik Lichtenberg, 1994. "Simple Econometrics of Pesticide Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 407-417.
    6. Fernandez-Cornejo, Jorge & Hendricks, Chad & Mishra, Ashok K., 2005. "Technology Adoption and Off-Farm Household Income: The Case of Herbicide-Tolerant Soybeans," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(3), pages 1-15, December.
    7. Glenn Fox & Alfons Weersink, 1995. "Damage Control and Increasing Returns," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 33-39.
    8. Chambers, Robert G. & Tzouvelekas, Vangelis, 2013. "Estimating population dynamics without population data," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 510-522.
    9. Atanu Saha & C. Richard Shumway & Arthur Havenner, 1997. "The Economics and Econometrics of Damage Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 773-785.
    10. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    11. Amemiya, Takeshi, 1977. "The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, Econometric Society, vol. 45(4), pages 955-968, May.
    12. Fernandez-Cornejo, Jorge & Klotz-Ingram, Cassandra & Jans, Sharon, 2002. "Farm-Level Effects Of Adopting Herbicide-Tolerant Soybeans In The U.S.A," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(1), pages 1-15, April.
    13. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    14. Fernandez-Cornejo, Jorge & Klotz-Ingram, Cassandra & Jans, Sharon, 2002. "Farm-Level Effects of Adopting Herbicide-Tolerant Soybeans in the U.S.A," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 34(1), pages 149-163, April.
    Full references (including those not matched with items on IDEAS)

    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. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2015. "Health-Damaging Inputs, Workers' Health Status and Productivity Measurement," Working Papers 1505, University of Crete, Department of Economics.
    2. Mitchell, Paul D., 2001. "Additive Versus Proportional Pest Damage Functions: Why Ecology Matters," 2001 Annual meeting, August 5-8, Chicago, IL 20775, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2017. "Health-Damaging Inputs, Workers Health Status and Productivity Measurement," Working Papers 1701, University of Crete, Department of Economics.
    4. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    5. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2015. "Health-Damaging Inputs, Workers' Health Status and Productivity Measurement," Working Papers 1504, University of Crete, Department of Economics.
    6. Nshakira-Rukundo, Emmanuel & Mussa, Essa Chanie & Gerber, Nicolas & von Braun, Joachim, 2020. "Impact of voluntary community-based health insurance on child stunting: Evidence from rural Uganda," Social Science & Medicine, Elsevier, vol. 245(C).
    7. Li, Sheng & Nadolnyak, Denis & Hartarska, Valentina, 2019. "Agricultural land conversion: Impacts of economic and natural risk factors in a coastal area," Land Use Policy, Elsevier, vol. 80(C), pages 380-390.
    8. Ahn, Soojung & Steinbach, Sandro, 2022. "COVID-19 Trade Actions and Their Impact on the Agricultural and Food Sector," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316789, Agricultural and Applied Economics Association.
    9. Chan, Konan & Chen, Hung-Kun & Hu, Shing-yang & Liu, Yu-Jane, 2018. "Share pledges and margin call pressure," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 96-117.
    10. Xiaoxue Du & Levan Elbakidze & Liang Lu & R. Garth Taylor, 2022. "Climate Smart Pest Management," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    11. Areal, Francisco J. & Riesgo, Laura & Gómez-Barbero, Manuel & Rodríguez-Cerezo, Emilio, 2012. "Consequences of a coexistence policy on the adoption of GMHT crops in the European Union," Food Policy, Elsevier, vol. 37(4), pages 401-411.
    12. William Liu, 2023. "A Theory Guide to Using Control Functions to Instrument Hazard Models," Papers 2312.03165, arXiv.org.
    13. Alfons Oude Lansink & Alain Carpentier, 2001. "Damage Control Productivity: An Input Damage Abatement Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 11-22, September.
    14. Theodoros Skevas & Spiro E. Stefanou & Alfons Oude Lansink, 2013. "Do Farmers Internalise Environmental Spillovers of Pesticides in Production?," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 624-640, September.
    15. Norwood, F. Bailey & Marra, Michele C., 2003. "Pesticide Productivity: Of Bugs and Biases," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-15, December.
    16. Joshua D. Detre & Hiroki Uematsu & Ashok K. Mishra, 2011. "The influence of GM crop adoption on the profitability of farms operated by young and beginning farmers," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(1), pages 41-61, May.
    17. Anastasia Semykina, 2018. "Self‐employment among women: Do children matter more than we previously thought?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 416-434, April.
    18. Naveed IQBAL & Maqbool Hussain SIAL, 2018. "Semi-parametric analysis of agricultural production under dichotomy of inputs," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(8), pages 378-388.
    19. Oliver Musshoff & Norbert Hirschauer, 2011. "A behavioral economic analysis of bounded rationality in farm financing decisions," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(1), pages 62-83, May.
    20. Elbakidze, Levan & Lu, Liang & Eigenbrode, Sanford, 2011. "Evaluating Vector-Virus-Yield Interactions for Peas and Lentils under Climatic Variability: A Limited Dependent Variable Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(3), pages 1-17.

    More about this item

    Keywords

    Demand and Price Analysis; Production Economics;

    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:aaea16:235998. 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.