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2012 | 2 |
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Optymalizacja produkcji w zależności od stanu natury w warunkach niepewności

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EN
The strong dependence on exogenously determined states of nature (weather, diseases, pests, etc.) is a constituent element of most agricultural production processes. While this state contingency creates uncertainties, it likewise offers various possibilities to react to particular states of nature (e.g. through irrigation or pest management). A concept which in principle accounts for these contexts is the so called state contingent approach originally developed by Chambers and Quiggin. This approach comprises the state contingent depiction of the production process under uncertainty as basis for a realistic representation of individual decision making as well as the resulting market reactions. The following article deals with the state contingent approach in the context of mathematical programming. It starts with the description of the conceptual foundations of the approach and subsequently focuses on its implementation in the context of mathematical programming under uncertainty. The comparison with conventional mathematical programming approaches using an example documents the conceptual advantage of the state contingent approach, but also clarifies the methodical challenges which result from its complexity.
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-
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2
Opis fizyczny
s.3-29,rys.,tab.,wykr.,bibliogr.
Twórcy
autor
  • Uniwersytet w Bonn, Niemcy
Bibliografia
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  • 11. Chambers R.G., Quiggin J.: The State-Contingent Properties of stochastic production functions. American Journal of Agricultural Economics 84(2), 2002.
  • 12. Chambers R.G., Quiggin J.: Uncertainty, production, choice and agency: The State-Contingent Approach. Cambridge University Press, New York 2000.
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  • 14. Hardaker J.B., Huirne R.B.M., Anderson J.R., Lien G.: Coping with risk in agriculture. 2nd edition. CABI Publishing, Wallingford, UK 2004.
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  • 17. Hazell P.B.R., Norton R.D.: Mathematical programming for economic analysis in agriculture. MacMillan Publishing Co., New York 1986.
  • 18. Hirschauer N., Mußhoff O.: Risikomanagementinstrumente im Vergleich: Sollte man landwirtschaftliche Ernteversicherungen subventionieren? Gute alte Argumente in einem neuen Streit [in:] Berg E., Hartmann M., Heckelei T., Holm-Müller K. und Schiefer G. (Hrsg.): Risiken in der Agrar- und Ernährungswirtschaft und ihre Bewältigung. Schriften der Gesellschaft für Wirtschafts- und Sozialwissen-schaften des Landbaues e.V., Bd. 44. Landwirtschaftsverlag, Münster-Hiltrup 2009.
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  • 24. Meuwissen M.P.M., Huirne R.B.M., Skees J.R.: Income insurance in European agriculture. Eurochoices 1, 2003.
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  • 28. Quiggin J., Chambers R.G.: Drought policy: a graphical analysis. Australian Journal of Agricultural and Resource Economics 48(2), 2004.
  • 29. Rasmussen S., Karantininis K.: Estimating state-contingentproduction functions. Paper prepared for presentation at the XIth Congress of the European Association of Agricultural Economists (EAAE), Copenhagen 2005. Food & Resource Economics Institute, The Royal Veterinary & Agricultural University of Copenhagen (KVL); online at AgEcon Search, http://ageconsearch.umn.edu/
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  • 32. Schmid E., Stürmer B., Sinabell F.: Modellanalysen von Optionen einer künftigen GAP in Österreich. Forschungsendberichtdes Instituts für nachhaltige Wirtschaftsentwicklung, Universität für Bodenkultur Wien (BOKU) und des Österreichischen Instituts für Wirtschaftsforschung (WIFO), Wien 2008.
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