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Modelling the Effects of a Glyphosate Ban on Weed Management in Silage 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 control decisions. It implements an output damage control approach for German silage maize production, considering almost eighty mechanical and herbicide based weed control options against over thirty weeds, working with detailed data on weed abundance and yields for more than three hundred municipalities in the federal state of North-Rhine-Westphalia. We apply the model to simulate economic optimal weed control over two growing periods under current environmental standards and under the scenario of a glyphosate ban as recently discussed after glyphosate was classified as probably carcinogenic to humans. Considering different levels of weed pressure, we find that adjustments in the intensity of mechanical pre-sowing strategies are an optimal response to a glyphosate ban, causing yield reductions of about 1%. In contrast, we find little evidence for a substitution towards selective herbicides post-sowing. On average, the aggregated economic impacts of a glyphosate ban are small, i.e. at about € 1–2/ha, but single farms may face higher losses at about € 10/ha.

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  • Böcker, Thomas & Britz, Wolfgang & Finger, Robert, 2018. "Modelling the Effects of a Glyphosate Ban on Weed Management in Silage Maize Production," Ecological Economics, Elsevier, vol. 145(C), pages 182-193.
    • Handle: RePEc:eee:ecolec:v:145:y:2018:i:c:p:182-193
    DOI: 10.1016/j.ecolecon.2017.08.027
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    Citations

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    Cited by:

    1. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    2. 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.
    3. Koppenberg, Maximilian & Hirsch, Stefan & Finger, Robert, 2023. "Effects of the debate on glyphosate's carcinogenic risk on pesticide producers' share prices," Ecological Economics, Elsevier, vol. 212(C).
    4. Jouan, Julia & Ridier, Aude & Carof, Matthieu, 2020. "SYNERGY: A regional bio-economic model analyzing farm-to-farm exchanges and legume production to enhance agricultural sustainability," Ecological Economics, Elsevier, vol. 175(C).
    5. Böcker, Thomas & Möhring, Niklas & Finger, Robert, 2019. "Herbicide free agriculture? A bio-economic modelling application to Swiss wheat production," Agricultural Systems, Elsevier, vol. 173(C), pages 378-392.
    6. Florence Jacquet & Nathalie Delame & Jesus Lozano Vita & Christian Huyghe & Xavier Reboud, 2021. "The micro-economic impacts of a ban on glyphosate and its replacement with mechanical weeding in French vineyards," Post-Print hal-03318887, HAL.

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