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Rationalising Risk Assessment: Applications to Agricultural Business

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Author Info

  • Hardaker, J. Brian
  • Lien, Gudbrand D.
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    Abstract

    To concentrate on treating the most serious risks, methods of business risk management usually seek to identify the main risks and to assess their relative importance. Risks are typically assessed in terms of their chances of occurrence and the severity of their consequences. The assessments may be performed by qualitative, semi-quantitative or quantitative analysis. This paper is focussed on quantitative methods, requiring assessments of specific probabilities and values for consequences.

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    File URL: http://purl.umn.edu/126084
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    Bibliographic Info

    Article provided by University of Melbourne, Melbourne School of Land and Environment in its journal Australasian Agribusiness Review.

    Volume (Year): 15 (2007)
    Issue (Month): ()
    Pages:

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    Handle: RePEc:ags:auagre:126084

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    Web page: http://www.agrifood.info/review/

    Related research

    Keywords: Risk assessment; agricultural business; risk management; quantitative methods; Agribusiness; Farm Management; Research Methods/ Statistical Methods; Risk and Uncertainty; ISSN 1442-6951;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Mark Morrison & Jeff Bennett & Russell Blamey & Jordan Louviere, 2002. "Choice Modeling and Tests of Benefit Transfer," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 161-170.
    2. Quiggin, John, 1992. "Some observations on insurance, bankruptcy and input demand," Journal of Economic Behavior & Organization, Elsevier, vol. 18(1), pages 101-110, June.
    3. G Lien & JB Hardaker, 2001. "Whole-farm planning under uncertainty: impacts of subsidy scheme and utility function on portfolio choice in Norwegian agriculture," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 28(1), pages 17-36, March.
    4. Lien, Gudbrand D. & Hardaker, J. Brian & Richardson, James W., 2006. "Simulating Multivariate Distributions with Sparse Data: A Kernal Density Smoothing Procedure," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25449, International Association of Agricultural Economists.
    5. Richardson, James W. & Klose, Steven L. & Gray, Allan W., 2000. "An Applied Procedure For Estimating And Simulating Multivariate Empirical (Mve) Probability Distributions In Farm-Level Risk Assessment And Policy Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(02), August.
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    Cited by:
    1. Monjardino, Marta & McBeath, T. & Brennan, Lisa E. & Llewellyn, Rick S., 2012. "Are farmers in low-rainfall cropping regions under-fertilizing? An Australian case-study," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 124976, International Association of Agricultural Economists.

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