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Ist Eine Reduzierung Des Pflanzenschutzmitteleinsatzes Im FreilandgemãœSebau Mã–Glich? Ergebnisse Eines Bioã–Konomischen Simulationsmodells

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Author Info
Dirksmeyer, Walter
Abstract

In field vegetable production pesticide a levels are very high although pest control technologies are known, which require much less pesticides than the commonly applied control technologies. A stochastic bio-economic simulation model is used to determine the net return derived from the application of different pest control technologies in carrot, leek and onion production. Following the concept of stochastic dominance efficient technologies can be identified. Results reveal that it is possible to reduce pesticide use levels in field vegetable production if alternative control technologies are applied. This is possible without losses in net return on farm level and without increasing risk of field vegetable production. Der Einsatz von chemisch-synthetischen Pflanzenschutzmitteln ist im Freilandgemüsebau sehr hoch. Obwohl Pflanzenschutzverfahren bekannt sind, die deutlich weniger PSM benöti-gen, als dies bei den Standardverfahren der Fall ist, werden sie häufig nur von einem kleinen Kreis der Produzenten angewandt. Mit Hilfe eines stochastischen bioökonomischen Simulationsmodells wird die Verteilung des Nettoertrages ermittelt, die von der Anwendung verschie-dener in der Produktion von Möhren, Porree und Zwiebeln eingesetzter Pflanzenschutzverfah-ren zu erwarten sind. Unter Verwendung des Konzeptes der stochastischen Dominanz können effiziente Verfahren identifiziert werden. Die Simulationsergebnisse zeigen, dass es durch den Einsatz alternativer Pflanzenschutzverfahren im Freilandgemüsebau möglich ist, die PSM-Einsatzmengen zu reduzieren, ohne betriebswirtschaftliche Einbußen oder ein erhöhtes Risiko in Kauf nehmen zu müssen.

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Paper provided by German Association of Agricultural Economists (GEWISOLA) in its series 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 with number 7592.

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Date of creation: 2007
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Handle: RePEc:ags:gewi07:7592

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Keywords: Pflanzenschutz; Gemüsebau; Stochastische Simulation; Stochastische Dominanz; Pest control vegetable production; Bio-economic simulation; Monte Carlo simulation; Stochastic dominance; Farm Management;

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  1. Sunding, David & Zivin, Joshua, 2000. " Insect Population Dynamics, Pesticide Use, and Farmworker Health," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 82(3), pages 527-40, August. [Downloadable!] (restricted)
  2. Pretty, J. N. & Brett, C. & Gee, D. & Hine, R. E. & Mason, C. F. & Morison, J. I. L. & Raven, H. & Rayment, M. D. & van der Bijl, G., 2000. "An assessment of the total external costs of UK agriculture," Agricultural Systems, Elsevier, vol. 65(2), pages 113-136, August. [Downloadable!] (restricted)
  3. de Buck, A. J. & Schoorlemmer, H. B. & Wossink, G. A. A. & Janssens, S. R. M., 1999. "Risks of post-emergence weed control strategies in sugar beet: development and application of a bio-economic model," Agricultural Systems, Elsevier, vol. 59(3), pages 283-299, March. [Downloadable!] (restricted)
  4. Alfons Oude Lansink & Alain Carpentier, 2001. "Damage Control Productivity: An Input Damage Abatement Approach," Journal of Agricultural Economics, Blackwell Publishing, vol. 52(3), pages 11-22. [Downloadable!] (restricted)
  5. Bor, Yunchang Jeffrey, 1995. "Optimal pest management and economic threshold," Agricultural Systems, Elsevier, vol. 49(2), pages 113-133. [Downloadable!] (restricted)
  6. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics, Blackwell, vol. 17(1), pages 45-58, October. [Downloadable!] (restricted)
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