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Modelling The Dynamics Of Production Adjustment To Short-Term Market Shocks

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  • Niemi, Jarkko K.
  • Lehtonen, Heikki

Abstract

Models of agricultural economics typically operate at an annual basis or in a static equilibrium framework where inputs, outputs and their prices may change considerably. Production dynamics, however, imply that models relying on spatial and temporal aggregation do not capture the effects of biological constraints in the short run. This paper examines short and long-term impacts of demand and production cost shocks in the pig sector. The analysis is carried out with a dynamic programming model which takes into account changes in export and domestic demand and market clearing price. It optimizes the supply of piglets on a monthly basis. Econometric techniques are used to estimate demand functions. Short-term negative market shocks can already have significant income effects to agricultural producers. We simulated effects of pig meat export bans of different degrees due to livestock epidemics. Full closure of export markets for six months cost pig sector €21 million.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:eaa107:6401
    DOI: 10.22004/ag.econ.6401
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    References listed on IDEAS

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    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. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    3. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    4. Pritchett, James G. & Thilmany, Dawn D. & Johnson, Kamina K., 2005. "Animal Disease Economic Impacts: A Survey of Literature and Typology of Research Approaches," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 8(1), pages 1-23.
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