IDEAS home Printed from https://ideas.repec.org/p/ags/eaae11/114645.html
   My bibliography  Save this paper

On-farm weather risk management in suckler cow farms: A recursive discrete stochastic programming approach

Author

Listed:
  • Mosnier, Claire
  • Agabriel, Jacques
  • Lherm, Michel
  • Reynaud, Arnaud

Abstract

Currently France wants to introduce a weather risk management framework into its agricultural policy for livestock farming. The aim of this paper is to better understand how on-farm risk reducing strategies modify the production system and profit distribution of French suckler cow enterprises. We present in this paper an original bioeconomic model that takes into account both risk anticipation and risk adjustments and that details biotechnical relationships between the different components of the beef cattle production system and their dynamics. On-farm risk management strategies are endogeneized under weather uncertainty and tested on real observed weather sequences. We simulate four scenarios characterized by different risk aversions and feed prices. Results emphasized that production adjustments, particularly the adjustments of area of grassland harvested and the possibility to purchase substitutes to on-farm forage production, improve farmers profit under weather variability. However, limiting the amplitude of these adjustments helps decreasing profit variability. All simulated long term decisions associated to risk reducing strategies encompass a reduction of long term stocking rate and the constitution of feed stocks. The impact of hay feed price on the market has similar effects on the long term strategy.

Suggested Citation

  • Mosnier, Claire & Agabriel, Jacques & Lherm, Michel & Reynaud, Arnaud, 2011. "On-farm weather risk management in suckler cow farms: A recursive discrete stochastic programming approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114645, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae11:114645
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/114645
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. Mosnier, C. & Agabriel, J. & Lherm, M. & Reynaud, A., 2009. "A dynamic bio-economic model to simulate optimal adjustments of suckler cow farm management to production and market shocks in France," Agricultural Systems, Elsevier, vol. 102(1-3), pages 77-88, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Briner, Simon & Finger, Robert, 2012. "Bio-economic modelling of decisions under yield and price risk for suckler cow farms," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122547, European Association of Agricultural Economists.
    2. Dono, Gabriele & Cortignani, Raffaele & Giraldo, Luca & Doro, Luca & Ledda, Luigi & Pasqui, Massimiliano & Roggero, PierPaolo, 2012. "Evaluating productive and economic impacts of climate change variability on the farm sector of an irrigated Mediterranean area," 126th Seminar, June 27-29, 2012, Capri, Italy 126099, European Association of Agricultural Economists.
    3. Dono, Gabriele & Cortignani, Raffaele & Doro, Luca & Giraldo, Luca & Ledda, Luigi & Pasqui, Massimiliano & Roggero, Pier Paolo, 2013. "Adapting to uncertainty associated with short-term climate variability changes in irrigated Mediterranean farming systems," Agricultural Systems, Elsevier, vol. 117(C), pages 1-12.

    More about this item

    Keywords

    Livestock Production/Industries; Risk and Uncertainty;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:eaae11:114645. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.