IDEAS home Printed from https://ideas.repec.org/p/ags/aaea09/49307.html
   My bibliography  Save this paper

Risk Classification in Animal Disease Prevention: Who Benefits from Differentiated Policy?

Author

Listed:
  • Niemi, Jarkko K.
  • Lyytikainen, Tapani
  • Sahlstrom, Leena
  • Virtanen, Terhi
  • Lehtonen, Heikki

Abstract

Risk classification of livestock farms can help stakeholders design and implement risk management measures according to the possessed risk. Our goal is to examine how differently pig farms may contribute to the societal costs of an animal disease outbreak, how valuable this information is to different stakeholders, and how it can be used to target risk management measures. We show that the costs of an outbreak starting from a certain farm can be quantified for the entire sector using bio-economic models. In further studies, this quantified risk can be differentiated so that farms and slaughterhouses internalise the full cost of risk in production decisions and inhibit animal densities, animal contact structures or other characteristics which pose a threat to the sector. Potential benefits due to risk classification could be received by society and producers, and in the long run also by consumers.

Suggested Citation

  • Niemi, Jarkko K. & Lyytikainen, Tapani & Sahlstrom, Leena & Virtanen, Terhi & Lehtonen, Heikki, 2009. "Risk Classification in Animal Disease Prevention: Who Benefits from Differentiated Policy?," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49307, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea09:49307
    DOI: 10.22004/ag.econ.49307
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/49307/files/610677.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.49307?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. M.-J. J. Mangen & A. M. Burrell, 2003. "Who gains, who loses? Welfare effects of classical swine fever epidemics in the Netherlands," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(2), pages 125-154, June.
    2. Benjamin M. Gramig & Richard D. Horan & Christopher A. Wolf, 2008. "Livestock Disease Indemnity Design When Moral Hazard Is Followed by Adverse Selection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(3), pages 627-641.
    3. Hennessy, David A., 2012. "Biosecurity and Spread of an Infectious Disease," Staff General Research Papers Archive 35013, Iowa State University, Department of Economics.
    4. Niemi, Jarkko K. & Lehtonen, Heikki, 2008. "The value of market uncertainty in a livestock epidemic," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6158, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arnaud Rault & Stéphane Krebs, 2011. "Catastrophic risk and risk management, what do we know about livestock epidemics? State of the art and prospects," Working Papers SMART 11-05, INRAE UMR SMART.
    2. Rault, Arnaud & Krebs, Stephane, 2011. "Livestock epidemics and catastrophic risk management: State of the art and prospects on economic dynamics," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114793, European Association of Agricultural Economists.
    3. Rob Fraser, 2018. "Compensation Payments and Animal Disease: Incentivising Farmers Both to Undertake Costly On-farm Biosecurity and to Comply with Disease Reporting Requirements," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(3), pages 617-629, July.
    4. Christine Wieck & Simon W. Schlüter & Wolfgang Britz, 2012. "Assessment of the Impact of Avian Influenza–related Regulatory Policies on Poultry Meat Trade and Welfare," The World Economy, Wiley Blackwell, vol. 35(8), pages 1037-1052, August.
    5. Elbakidze, Levan & McCarl, Bruce A., 2006. "Animal Disease Pre-Event Preparedness versus Post-Event Response: When Is It Economic to Protect?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(2), pages 327-336, August.
    6. Delmond, Anthony R. & Ahmed, Haseeb, 2021. "Optimal Antimicrobial Use under Countervailing Externalities," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(3), September.
    7. Levan Elbakidze & Linda Highfield & Michael Ward & Bruce A. McCarl & Bo Norby, 2009. "Economics Analysis of Mitigation Strategies for FMD Introduction in Highly Concentrated Animal Feeding Regions," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(4), pages 931-950.
    8. Jaakko Heikkilä & Jarkko K. Niemi & Katriina Heinola & Eero Liski & Sami Myyrä, 2016. "Anything left for animal disease insurance? A choiceexperiment approach," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 97(4), pages 237-249.
    9. Gramig, Benjamin M. & Horan, Richard D., 2011. "Jointly determined livestock disease dynamics and decentralised economic behavior," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 1-18, September.
    10. Assefa, Tsion & Meuwissen, Miranda & Lansink, Alfons G.J.M., 2015. "Food scares and price volatility: the case of German and Spanish pig chains," 2015 Conference, August 9-14, 2015, Milan, Italy 210966, International Association of Agricultural Economists.
    11. Jarkko K. Niemi & Leena Sahlström & Jonna Kyyrö & Tapani Lyytikäinen & Alina Sinisalo, 2016. "Farm characteristics and perceptions regarding costs contribute to the adoption of biosecurity in Finnish pig and cattle farms," Review of Agricultural, Food and Environmental Studies, Springer, vol. 97(4), pages 215-223, December.
    12. Saak, Alexander E., 2012. "Infectious Disease Detection with Private Information," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124732, Agricultural and Applied Economics Association.
    13. Niemi, Jarkko K. & Lehtonen, Heikki, 2014. "Livestock product trade and highly contagious animal diseases," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 169759, Agricultural Economics Society.
    14. Mangen, M. -J. J. & Burrell, A. M. & Mourits, M. C. M., 2004. "Epidemiological and economic modelling of classical swine fever: application to the 1997/1998 Dutch epidemic," Agricultural Systems, Elsevier, vol. 81(1), pages 37-54, July.
    15. Stéphanie Truchet & Nicolas Mauhe & Marie Herve, 2017. "Veterinarian shortage areas: what determines the location of new graduates?," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(4), pages 255-282, December.
    16. Elbakidze, Levan, 2007. "Economic Benefits Of Animal Tracing In The Cattle Production Sector," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9510, Western Agricultural Economics Association.
    17. Chitchumnong, Piyayut & Horan, Richard D., 2015. "Multiple Choices, Strategic Interactions, and Market Effects in Livestock Disease Risk Management," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205778, Agricultural and Applied Economics Association.
    18. Näther, Marina & Theuvsen, Ludwig, 2015. "Ökonomische Bewertung der Tierseuchenbekämpfung: Einsatz eines relationalen Datenbanksystems am Beispiel der Schweinepest," 55th Annual Conference, Giessen, Germany, September 23-25, 2015 209191, German Association of Agricultural Economists (GEWISOLA).
    19. Niemi, Jarkko K. & Lehtonen, Heikki, 2008. "Modelling The Dynamics Of Production Adjustment To Short-Term Market Shocks," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6401, European Association of Agricultural Economists.
    20. Krämer, J. & Farwick, J., 2009. "Schäden in der Landwirtschaft durch Maul- und Klauenseuche: Simulationsrechnungen für ausgewählte Modellregionen," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 44, March.

    More about this item

    Keywords

    Agricultural and Food Policy; Agricultural Finance; Livestock Production/Industries; Risk and Uncertainty;
    All these keywords.

    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:aaea09:49307. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.