IDEAS home Printed from https://ideas.repec.org/p/ags/gewi17/261982.html
   My bibliography  Save this paper

Modelling the Effects of a Glyphosate Ban on Weed Management in Maize Production

Author

Listed:
  • Böcker, Thomas
  • Britz, Wolfgang
  • Finger, Robert

Abstract

A bio-economic model is developed that allows a detailed representation of optimal weed management decisions. Focussing on German maize production, we apply the model to the effects of a glyphosate ban on farmers’ income, other herbicide use, maize yields and labour demand. We find that a glyphosate ban has only small income effects. Our results show that selective herbicides are not used at higher levels, but glyphosate is substituted by mechanical practices leading to higher labour demand. Slight yield reduction due to less intensive pre-sowing strategies turns out as more profitable than maintaining current yield levels.

Suggested Citation

  • Böcker, Thomas & Britz, Wolfgang & Finger, Robert, 2017. "Modelling the Effects of a Glyphosate Ban on Weed Management in Maize Production," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261982, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gewi17:261982
    DOI: 10.22004/ag.econ.261982
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/261982/files/Boecker_109.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/261982/files/Boecker_109.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.261982?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. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.
    2. Pannell, David J., 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(3), pages 1-19, December.
    3. Skevas, Theodoros & Stefanou, Spiro E. & Oude Lansink, Alfons, 2014. "Pesticide use, environmental spillovers and efficiency: A DEA risk-adjusted efficiency approach applied to Dutch arable farming," European Journal of Operational Research, Elsevier, vol. 237(2), pages 658-664.
    4. 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.
    5. Guan Zhengfei & Alfons Oude Lansink & Ada Wossink & Ruud Huirne, 2005. "Damage control inputs: a comparison of conventional and organic farming systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(2), pages 167-189, June.
    6. Thomas Böcker & Robert Finger, 2016. "European Pesticide Tax Schemes in Comparison: An Analysis of Experiences and Developments," Sustainability, MDPI, vol. 8(4), pages 1-22, April.
    7. Schulte, Michael Clemens & Theuvsen, Ludwig & Wiese, Armin & Steinmann, Horst-Henning, 2016. "Die Ökonomische Bewertung Von Glyphosat Im Deutschen Ackerbau," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244761, German Association of Agricultural Economists (GEWISOLA).
    8. Giannis Karagiannis & Vangelis Tzouvelekas, 2012. "The damage-control effect of pesticides on total factor productivity growth," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(3), pages 417-437, July.
    9. Timo Kuosmanen & Diemuth Pemsl & Justus Wesseler, 2006. "Specification and Estimation of Production Functions Involving Damage Control Inputs: A Two-Stage, Semiparametric Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 499-511.
    10. Thomas G. Böcker & Robert Finger, 2017. "A Meta-Analysis on the Elasticity of Demand for Pesticides," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 518-533, June.
    11. Gömann, H. & Kreins, P. & Münch, J. & Delzeit, R., 2011. "Auswirkungen der Novellierung des erneuerbaren Energien-Gesetzes auf die Landwirtschaft in Deutschland," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    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. Danne, M. & Musshoff, O. & Schulte, M., 2019. "Analysing the importance of glyphosate as part of agricultural strategies: A discrete choice experiment," Land Use Policy, Elsevier, vol. 86(C), pages 189-207.
    2. Niklas Möhring & Martina Bozzola & Stefan Hirsch & Robert Finger, 2020. "Are pesticides risk decreasing? The relevance of pesticide indicator choice in empirical analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 429-444, May.
    3. Alessandro Bonanno & Valentina C. Materia & Thomas Venus & Justus Wesseler, 2017. "The Plant Protection Products (PPP) Sector in the European Union: A Special View on Herbicides," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(3), pages 575-595, July.
    4. Oriade, Caleb Adewale, 1995. "A bioeconomic analysis of site-specific management and delayed planting strategies for weed control," Faculty and Alumni Dissertations 307890, University of Minnesota, Department of Applied Economics.
    5. Young, Douglas L. & Smith, Elwin G. & Kwon, Tae-Jin, 2000. "Aggregation Issues In Pest Control Economics: A Bioeconomic Approach," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36448, Western Agricultural Economics Association.
    6. 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.
    7. Scott M. Swinton & Braeden Deynze, 2017. "Hoes to Herbicides: Economics of Evolving Weed Management in the United States," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(3), pages 560-574, July.
    8. Young, Douglas L. & Haantuba, Hyde H., 1998. "An Economic Threshold For Tick Control Considering Multiple Damages And Probability-Based Damage Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-11, December.
    9. Archer, David Walter, 1995. "Self-insurance and self-protection in weed control: implications for nonpoint source pollution," ISU General Staff Papers 1995010108000012033, Iowa State University, Department of Economics.
    10. Braeden Van Deynze & Scott M. Swinton & David A. Hennessy, 2022. "Are glyphosate‐resistant weeds a threat to conservation agriculture? Evidence from tillage practices in soybeans," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 645-672, March.
    11. Robert G. Chambers & Giannis Karagiannis & Vangelis Tzouvelekas, 2009. "Yet Another Look at Pest Damage and Pesticide Productivity," Working Papers 0911, University of Crete, Department of Economics.
    12. Boyer, Christopher N. & Harmon, Xavier & Smith, S. Aaron & Lambert, Dayton M. & Kelly, Heather & Jordan, Jamie & Newman, Melvin, 2016. "A Two-Stage Approach for Estimating the Value of Damage Control with Fungicide in Soybean Production," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229574, Southern Agricultural Economics Association.
    13. Russell J. Gorddard & David J. Pannell & Greg Hertzler, 1995. "An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(1), pages 71-87, April.
    14. Cai, Rong & Ma, Jie & Wang, shujuan & Cai, Shukai, 2024. "Can crop insurance help optimize farmers’ decisions on pesticides use? Evidence from family farms in East China," Journal of Asian Economics, Elsevier, vol. 92(C).
    15. Jean-Philippe Boussemart & Hervé Leleu & Oluwaseun Ojo, 2012. "Exploring cost dominance between high and low pesticide use in French crop farming systems by varying scale and output mix," Working Papers 2012-ECO-11, IESEG School of Management.
    16. Horna, J. Daniela & Smale, Melinda & Al-Hassan, Ramatu M. & Falck-Zepeda, Jose Benjamin & Timpo, Samuel E., 2008. "Insecticide Use on Vegetables in Ghana: Would GM Seed Benefit Farmers?," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6506, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Swinton, Scott M. & King, Robert P. & Lybecker, Donald W., 1992. "Weed Management Strategies, Bioeconomic Models and Information Value," Staff Paper Series 201161, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    18. Boussemart, Jean-Philippe & Leleu, Hervé & Ojo, Oluwaseun, 2011. "Could society's willingness to reduce pesticide use be aligned with farmers' economic self-interest?," Ecological Economics, Elsevier, vol. 70(10), pages 1797-1804, August.
    19. Xingliang Ma & Melinda Smale & David J. Spielman & Patricia Zambrano & Hina Nazli & Fatima Zaidi, 2017. "A Question of Integrity: Variants of Bt Cotton, Pesticides and Productivity in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 366-385, June.
    20. Bontemps, Christophe & Bougherara, Douadia & Nauges, Céline, 2020. "Do Risk Preferences Really Matter? The Case of Pesticide Use in Agriculture," TSE Working Papers 20-1095, Toulouse School of Economics (TSE).

    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:gewi17:261982. 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/gewisea.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.