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Criteria for optimal production under uncertainty. The state‐contingent approach

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  • Svend Rasmussen

Abstract

The state‐contingent approach to production economics presented by Chambers and Quiggin provides a new basis for deriving optimality criteria for production under uncertainty. In the present paper criteria are formally derived for risk‐averse producers. It is not possible to derive useful criteria for strictly risk‐averse producers, but useful criteria for risk‐neutral producers are presented for three different types of input. Based on a formal definition of ‘good’ and ‘bad’ states of nature, the use of inputs and levels of production of strictly risk‐averse producers are compared to those of risk‐neutral producers. Depending on the type of input, risk‐averse producers may use more or less input than risk‐neutral producers.

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  • Svend Rasmussen, 2003. "Criteria for optimal production under uncertainty. The state‐contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 447-476, December.
  • Handle: RePEc:bla:ajarec:v:47:y:2003:i:4:p:447-476
    DOI: 10.1111/j.1467-8489.2003.t01-1-00223.x
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    Cited by:

    1. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John C., 2007. "Water use and salinity in the Murray–Darling Basin: A state-contingent model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(3), pages 1-19.
    2. Sriram Shankar & John Quiggin, 2013. "Production under uncertainty: a simulation study," Journal of Productivity Analysis, Springer, vol. 39(3), pages 207-215, June.
    3. John Quiggin & Robert G. Chambers, 2006. "The state-contingent approach to production under uncertainty ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), pages 153-169, June.
    4. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John, 2004. "Modelling basin level allocation of water in the Murray Darling Basin in a world of uncertainty," Risk and Sustainable Management Group Working Papers 149844, University of Queensland, School of Economics.
    5. Quiggin, John & Chambers, Robert G., 2005. "The state-contingent approach to production and uncertainty," Risk and Sustainable Management Group Working Papers 151168, University of Queensland, School of Economics.
    6. Shankar, Sriram, 2012. "Production economics in the presence of risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-24, December.
    7. Zdeňka Náglová & Tamara Rudinskaya, 2021. "Factors Influencing Technical Efficiency in the EU Dairy Farms," Agriculture, MDPI, vol. 11(11), pages 1-14, November.
    8. David Adamson & Adam Loch & Kurt Schwabe, 2017. "Adaptation responses to increasing drought frequency," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(3), pages 385-403, July.
    9. Rasmussen, Svend, 2004. "Optimizing Production under Uncertainty: Generalisation of the State-Contingent Approach and Comparison of Methods for Empirical Application," Unit of Economics Working Papers 24184, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    10. Pedro Macedo & Elvira Silva & Manuel Scotto, 2014. "Technical efficiency with state-contingent production frontiers using maximum entropy estimators," Journal of Productivity Analysis, Springer, vol. 41(1), pages 131-140, February.
    11. Uaiene, Rafael N., 2006. "Introduction of New Agricultural Technologies and Marketing Strategies in Central Mozambique," Food Security Collaborative Working Papers 55861, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    12. Adam Loch & David Adamson, 2015. "Drought and the rebound effect: a Murray–Darling Basin example," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1429-1449, December.

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