PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2012 | 2 |

Tytuł artykułu

Optymalizacja produkcji w zależności od stanu natury w warunkach niepewności

Autorzy

Treść / Zawartość

Warianty tytułu

Języki publikacji

PL

Abstrakty

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.

Słowa kluczowe

Wydawca

-

Rocznik

Numer

2

Opis fizyczny

s.3-29,rys.,tab.,wykr.,bibliogr.

Twórcy

autor
  • Uniwersytet w Bonn, Niemcy

Bibliografia

  • 1. Adamson T., Mallawaarachchi T., Quiggin J.: Water use and salinity in the Murray–Darling Basin: A state-contingent model. Australian Journal of Agricultural and Resource Economics 51, 2007.
  • 2. Anderson J.R., Dillon J.L., Hardaker J.B.: Agricultural decision analysis. Iowa State University Press, Ames 1977.
  • 3. Arrow K., Debreu G.: Existence of an equilibrium for a competitive economy. Econometrica 22, 1954.
  • 4. Bamberg G., Coenenberg A.G.: Betriebswirtschaftliche Entscheidungslehre. 13. Auflage. Vahlen, München 2006.
  • 5. Berg E., Krämer J.: Chapter 7 – Policy options for risk management [in:] Meuwissen M.P.M., van Asseldonk M.A.P.M. und Huirne R.B.M. (eds.): Income stabilisation in European agriculture: design and economic impact of risk management tools. Wageningen Academic Publishers, Wageningen 2008.
  • 6. Berg E.: Das System der Ernte- und Einkommensversicherungen in den USA – ein Modell für Europa? Berichte über Landwirtschaft 80(1), 2002.
  • 7. Berg E.: Risk response of farmers to changes in the European agricultural policy [in:] Huirne R.B.M., Hardaker J.B. und Dijkhuizen A.A. (eds.): Risk management strategies in agriculture. State of the Art and Future Perspectives. Mansholt Studies 7. Mansholt Institute, Wageningen 1997.
  • 8. Breustedt G.: Effiziente Reduktion des Produktionsrisikos im Ackerbau durch Ertragsversicherungen. Diss. Universität Kiel, 2004.
  • 9. Britz W.: Automated model linkages: the example of CAPRI. Agrarwirtschaft 57, 2008.
  • 10. Chambers R.G., Quiggin J.: Technological and financial approaches to risk management in agriculture: an integrated approach. Australian Journal of Agricultural and Resource Economics 48(2), 2004.
  • 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.
  • 13. Hanf C.-H.: Entscheidungslehre – Einführung in Informationsbeschaffung, Planung und Entscheidung unter Unsicherheit. 2. Auflage. Oldenbourg, München-Wien 1991.
  • 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.
  • 15. Hardaker J.B., Pandey S., Patten L.H.: Farm planning under uncertainty: a review of alternative programming models. Review of Marketing and Agricultural Economics 59(1), 1991.
  • 16. Hazell P.B.R.: A linear alternative to quadratic and semi-variance programming for farm planning under uncertainty. American Journal of Agricultural Economics 53(1), 1971.
  • 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.
  • 19. Hirshleifer J., Riley J.G.: The analytics of uncertainty and information. Cambridge Surveys of Economic Literature. Cambridge University Press, Cambridge 1992.
  • 20. Hirshleifer J.: Investment decision under uncertainty: choice-theoretic approaches. Quarterly Journal of Economics 79(4), 1965.
  • 21. Lambert D.K., McCarl B.A.: Risk modeling using direct solution of nonlinear approximations of the utility function. American Journal of Agricultural Economics 67, 1985.
  • 22. Laux H.: Entscheidungstheorie. 7. Auflage. Springer, Berlin–Heidelberg–New York 2007.
  • 23. Lehtonen H., Bärlund I., Tattari S., Hilden M.: Combining dynamic economic analysis and environmentalimpact modelling: Addressing uncertainty andcomplexity of agricultural development. Environmental Modelling & Software 22, 2007.
  • 24. Meuwissen M.P.M., Huirne R.B.M., Skees J.R.: Income insurance in European agriculture. Eurochoices 1, 2003.
  • 25. O‘Donnell C., Griffiths W.E.: Estimating state-contingent production frontiers. American Journal of Agricultural Economics 88, 2006.
  • 26. O‘Donnell C., Chambers R.G., Quiggin J.: Efficiency analysis in the presence of uncertainty. Journal of Productivity Analysis 33(1), 2010.
  • 27. Pratt J.: Risk aversion in the small and in the large. Econometrica 32, 1964.
  • 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/
  • 30. Rasmussen S.: Criteria for optimal production under uncertainty. The state-contingent approach. Australian Journal of Agricultural and Resource Economics 47(4), 2003.
  • 31. Robison L.J., Barry P.J.: The competitive firm‘s response to risk. Macmillan, New York–London 1987.
  • 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.
  • 33. Weber R., Kraus T., Mußhoff O., Odening M., Rust I.: Risikomanagement mit indexbasierten Wetterversicherungen – Bedarfsgerechte Ausgestaltung und Zahlungsbereitschaft [in:] Landwirtschaftliche Rentenbank (Hrsg.): Risikomanagement in der Landwirtschaft. Schriftenreihe Bd. 23, Frankfurt/Main 2008.

Uwagi

PL
Rekord w opracowaniu

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-27bb4ed8-88f6-47b1-8567-acba9fa0182c
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.