Assessing Economic And Technical Impacts Of Non Expected Weather Events On French Suckler Cow Farms Dynamics: A Dynamic Recursive Farm Model
AbstractWeather variability can threaten French suckler cow farms which rely on rather extensive forage production. However, flexibility of the production system can help farmer to face crop production shocks. This study aims at assessing how crop yield shocks impact on farms outcomes when adaptive capacity is taken into account. Our objectives are to develop a dynamic model which enables us 1) to predict the optimal mix of production adjustments to face crop yield shocks, 2) to quantify how far the system moves from the equilibrium and how long it takes to return and 3) to measure impact of shocks on economic results when adaptive capacity is taken into account. An original dynamic recursive bio-economic farm model integrating detailed technical and biological constraints and coupled with biological sub-models has been built and calibrated to represent an average farm producing charolais finished animals. Crop yield shocks of intensities ranging between -60% and +60% of their average values are simulated in between average years. A preference for maintaining animal sales and animal live weight at the expense of crop products trade balance is found. Thought, when intensities of shocks get higher, forced sales and important variations of the area of pasture cut are observed. Essential of loss (or gain) of net profit is felt the year of the shock but can be remnant for several years. In addition, gains for good years do not totally compensate loss of symmetric bad ones. Consequently, farms capacity to face risk could be weaken over time. Minimum consumption needs, probability distribution of shocks and successions or combinations of shocks would have thought to be taken into account to assess real capacity of farms to maintain over time.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by European Association of Agricultural Economists in its series 2008 International Congress, August 26-29, 2008, Ghent, Belgium with number 44257.
Date of creation: 2008
Date of revision:
livestock farm model; dynamic recursive model; crop yield variability; Livestock Production/Industries;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-11-25 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Sullivan, G. M. & Cartwright, T. C. & Farris, D. E., 1981. "Simulation of production systems in East Africa by use of interfaced forage and cattle models," Agricultural Systems, Elsevier, vol. 7(4), pages 245-265, December.
- Petr Havlík & Patrick Veysset & Jean-Marie Boisson & Michel Lherm & Florence Jacquet, 2005. "Joint production under uncertainty and multifunctionality of agriculture: policy considerations and applied analysis," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 32(4), pages 489-515, December.
- Kingwell, Ross S. & Pannell, David J. & Robinson, Stephen D., 1993. "Tactical responses to seasonal conditions in whole-farm planning in Western Australia," Agricultural Economics, Blackwell, vol. 8(3), pages 211-226, March.
- Cacho, O. J. & Bywater, A. C. & Dillon, J. L., 1999. "Assessment of production risk in grazing models," Agricultural Systems, Elsevier, vol. 60(2), pages 87-98, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.