IDEAS home Printed from
   My bibliography  Save this paper

Liability Risks in Agri-food Supply Chains: The Case of Wet Feed


  • Meuwissen, Miranda P.M.
  • Van Asseldonk, Marcel A.P.M.
  • Huirne, Ruud B.M.


Recent animal feed crises caused substantial damage throughout food supply chains and, consequently, initiated debates on the liability insurance cover of animal feed companies. In this framework, a quantitative risk analysis for wet feed producers in the Netherlands is presented. The simulation model developed is parameterised by among others data from three Dutch wet feed companies reflecting about 45% of the wet feed market in the Netherlands. The model addresses direct damage up to farm level. Default outcomes per crisis show that the number of contaminated farms is expected to be 117, with a variation from 19 farms in the 5% percentile to 331 farms in the 95% percentile. Projected direct damage per crisis is on average Euro 0.9 million, ranging from Euro 0.09 million (5%) to Euro 2.8 million (95%). The expected number of 117 farms consists of 15 sow farms, 31 hog farms, 49 dairy farms and 22 beef farms. Sensitivity analyses illustrate that the size of farms supplied with wet feed and the number of days in which contaminated wet feed is delivered are key variables in determining the eventual size of damage. Outcomes show the expected situation for the entire wet feed sector in the Netherlands— under the assumption that all wet feed companies have about the same risk profile as the sample companies whose data have been used to parameterise variables such as mixing rates and number of farms supplied each day. As the sample companies cover 45% of the total volume of wet feed in the Netherlands, their “share” in total damage is expected to be about the same, i.e. 45%. Similar conclusions hold for other wet feed companies whose risk profile is comparable to that of the sample companies. Outcomes are used in supply chain and insurance discussions on reviewing liability insurance covers of animal feed producers.

Suggested Citation

  • Meuwissen, Miranda P.M. & Van Asseldonk, Marcel A.P.M. & Huirne, Ruud B.M., 2008. "Liability Risks in Agri-food Supply Chains: The Case of Wet Feed," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44396, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae08:44396

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Contamination risk; Simulation model; Direct damage; Agribusiness;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:eaae08:44396. 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: .

    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.

    We have no references for this item. You can help adding them by using 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.