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Jointly determined livestock disease dynamics and decentralised economic behaviour

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  • Benjamin M. Gramig
  • Richard D. Horan

Abstract

A dynamic model of livestock disease and decentralised economic behaviour is constructed as a jointly determined system. By accounting for feedbacks between behavioural choices and disease outcomes, the model captures the endogenous nature of infection risks. Government mandated testing of livestock herds and how private biosecurity incentives are affected by the structure of disease eradication polices are considered. How well disease control policies are targeted affects their effectiveness and may result in farmers substituting government testing and disease surveillance for private biosecurity. Numerical simulation results demonstrate that failing to account for feedbacks between the disease ecology and economic systems may overestimate the effectiveness of government disease control policies.
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Suggested Citation

  • Benjamin M. Gramig & Richard D. Horan, 2011. "Jointly determined livestock disease dynamics and decentralised economic behaviour," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 393-410, July.
  • Handle: RePEc:bla:ajarec:v:55:y:2011:i:3:p:393-410
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    Cited by:

    1. 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.
    2. MacLachlan, Matthew J. & Hagerman, Amy D., "undated". "Measuring Storage Responses of Broiler Meat Producers During an Outbreak of Highly Pathogenic Avian Influenza," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258032, Agricultural and Applied Economics Association.
    3. K. Aleks Schaefer & Daniel P. Scheitrum & Steven van Winden, 2022. "Returns on investment to the British bovine tuberculosis control programme," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 472-489, June.
    4. Bate, Andrew M. & Jones, Glyn & Kleczkowski, Adam & MacLeod, Alan & Naylor, Rebecca & Timmis, Jon & Touza, Julia & White, Piran C.L., 2016. "Modelling the impact and control of an infectious disease in a plant nursery with infected plant material inputs," Ecological Modelling, Elsevier, vol. 334(C), pages 27-43.
    5. Niemi, Jarkko K. & SahlströmJonna, Leena & Lyytikäinen, KyyröTapani & Sinisalo, Alina, 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, Institut National de la Recherche Agronomique (INRA), vol. 97(4).
    6. Leister, Amanda M. & Lee, John G. & Paarlberg, Philip L., 2013. "Dynamic Effects of Drought on the U.S. Livestock Sector," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149946, Agricultural and Applied Economics Association.
    7. Rat-Aspert, Olivier & Krebs, Stephane, 2013. "Économie des actions collectives de maîtrise des maladies animales endémiques. Proposition d’un cadre d’analyse," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 338(November-).
    8. MacLachlan, Matthew J. & Boussios, David, "undated". "Identifying the price determinants of animal products in the presence of structural breaks," 2018 Annual Meeting, August 5-7, Washington, D.C. 273974, Agricultural and Applied Economics Association.
    9. Eli Fenichel & Timothy Richards & David Shanafelt, 2014. "The Control of Invasive Species on Private Property with Neighbor-to-Neighbor Spillovers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 231-255, October.
    10. Kobayashi, Mimako & Melkonyan, Tigran A., 2011. "Strategic Incentives in Biosecurity Actions: Theoretical and Empirical Analyses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-21, July.
    11. Tom Kompas & Pham Van Ha & Hoa Thi Minh Nguyen & Iain East & Sharon Roche & Graeme Garner, 2017. "Optimal surveillance against foot-and-mouth disease: the case of bulk milk testing in Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), pages 515-538, October.

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