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Lassen Sich Ertragsrisiken In Der Landwirtschaft Global Diversifizieren?

Author

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  • Liu, Xiaoliang
  • Xu, Wei
  • Odening, Martin

Abstract

In dieser Arbeit wird die Stochastizität landwirtschaftlicher Ernteerträge in wichtigen Erzeugerregionen der Welt am Beispiel von Winterweizen untersucht. Besondere Aufmerksamkeit wird der stochastischen Abhängigkeit der Erträge in den verschiedenen Regionen gewidmet. Damit verbindet sich die Frage, ob und in welchem Maße Ertragsschwankungen durch globalen Handel ausgeglichen werden können. Während statistische Zusammenhangsanalysen üblicherweise auf linearen Korrelationen basieren, werden in diesem Beitrag Copulas verwendet. Im Vergleich zu linearen Korrelationen ist die Anwendung von Copulas an weniger restriktive Voraussetzungen gebunden. Insbesondere das gemeinsame Auftreten extremer zufälliger Ereignisse lässt sich mit Copulas genauer modellieren. Unsere Berechnungen zeigen, dass eine Angebotskonstellation, wie sie in 2007 aufgetreten ist, kein Jahrhundertereignis darstellt, sondern sich c.p. etwa alle 15 Jahre wiederholen kann.

Suggested Citation

  • Liu, Xiaoliang & Xu, Wei & Odening, Martin, 2010. "Lassen Sich Ertragsrisiken In Der Landwirtschaft Global Diversifizieren?," 50th Annual Conference, Braunschweig, Germany, September 29-October 1, 2010 93955, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gewi10:93955
    DOI: 10.22004/ag.econ.93955
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    Cited by:

    1. Schulte-Geers, Matthias & Berg, Ernst, "undated". "Modelling farm production risk with copulae instead of correlations," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115996, European Association of Agricultural Economists.

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