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

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  • 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
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    References listed on IDEAS

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    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.
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