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A dynamic dual model under state-contingent production uncertainty

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  • Teresa Serra
  • Spiro Stefanou
  • Alfons Oude Lansink

Abstract

In this paper, we assess how production costs and capital accumulation patterns in agriculture have evolved over time, by paying special attention to the influence of risk. A dynamic state-contingent cost-minimisation approach is applied to assess production decisions in US agriculture over the last century. Results suggest the relevance of allowing for the stochastic nature of the production function which permits to capture both the differences in the costs of producing under different states of nature and the differences in the evolution of these costs over time, as well as the differential impacts of different states of nature on investment decisions. Oxford University Press and Foundation for the European Review of Agricultural Economics 2010; all rights reserved. For permissions, please email journals.permissions@oxfordjournals.org, Oxford University Press.

Suggested Citation

  • Teresa Serra & Spiro Stefanou & Alfons Oude Lansink, 2010. "A dynamic dual model under state-contingent production uncertainty," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(3), pages 293-312, September.
    • Handle: RePEc:oup:erevae:v:37:y:2010:i:3:p:293-312
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    File URL: http://hdl.handle.net/10.1093/erae/jbq021
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    Cited by:

    1. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    2. D. Verreth & G. Emvalomatis & F. Bunte & A. Oude Lansink, 2015. "Dynamic and Static Behaviour with Respect to Energy Use and Investment of Dutch Greenhouse Firms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(4), pages 595-614, August.
    3. Jesse B. Tack & Rulon D. Pope & Jeffrey T. LaFrance & Ricardo H. Cavazos, 2015. "Modelling an aggregate agricultural panel with application to US farm input demands," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 42(3), pages 371-396.
    4. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    5. Yang, Sansi & Shumway, C. Richard, 2014. "Dynamic Adjustment in U.S. Agriculture under Climate Uncertainty," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170609, Agricultural and Applied Economics Association.
    6. Céline Nauges & Christopher J. O'Donnell & John Quiggin, 2011. "Uncertainty and technical efficiency in Finnish agriculture: a state-contingent approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(4), pages 449-467, October.
    7. Moro, Daniele & Sckokai, Paolo, 2013. "The impact of decoupled payments on farm choices: Conceptual and methodological challenges," Food Policy, Elsevier, vol. 41(C), pages 28-38.
    8. Sansi Yang & C Richard Shumway, 2018. "Asset fixity under state-contingent production uncertainty," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(5), pages 831-856.
    9. Zein Kallas & Teresa Serra & Jos頠 M. Gil, 2012. "Effects of policy instruments on farm investments and production decisions in the Spanish COP sector," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3877-3886, October.
    10. Bouali Guesmi & Teresa Serra & Amr Radwan & José María Gil, 2018. "Efficiency of Egyptian organic agriculture: A local maximum likelihood approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 441-455, March.

    More about this item

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

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