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Can crop yield risk be globally diversified?

Author

Listed:
  • Xiaoliang Liu
  • Wei Xu
  • Martin Odening

Abstract

In 2007 and 2008 world food markets observed a significant price boom. Crop failures simultaneously occurring in some of the world’s major production regions have been quoted as one factor among others for the price boom. Against this background, we analyse the stochasticity of crop yields in major production areas. The analysis is exemplified for wheat, which is one of the most important crops worldwide. Particular attention is given to the stochastic dependence of yields in different regions. Thereby we address the question of whether local fluctuations of yields can be smoothed by international agricultural trade, i.e. by global diversification. The analysis is based on the copula approach, which requires less restrictive assumptions compared with linear correlations. The use of copulas allows for a more reliable estimation of extreme yield shortfalls, which are of particular interest in this application. Our calculations reveal that a production shortfall, such as in 2007, is not a once in a lifetime event. Instead, from a statistical point of view, similar production conditions will occur every 15 years.

Suggested Citation

  • Xiaoliang Liu & Wei Xu & Martin Odening, 2011. "Can crop yield risk be globally diversified?," SFB 649 Discussion Papers SFB649DP2011-018, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Handle: RePEc:hum:wpaper:sfb649dp2011-018
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    File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2011-018.pdf
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    References listed on IDEAS

    as
    1. von Witzke, Harald & Noleppa, Steffen & Schwarz, Gerald, 2008. "Global agricultural market trends and their impacts on European Union agriculture," Working Paper Series 6276, Humboldt University Berlin, Department of Agricultural Economics.
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    More about this item

    Keywords

    crop yield risk; fully nested hierarchical Archimedean copulas (FNAC); price boom;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other

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