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Rationalising Risk Assessment: Applications to Agricultural Business

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Listed author(s):
  • 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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    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
    Contact details of provider: Web page: http://www.agrifood.info/review/

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

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    1. Quiggin, John, 1992. "Some observations on insurance, bankruptcy and input demand," Journal of Economic Behavior & Organization, Elsevier, vol. 18(1), pages 101-110, June.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
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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.
    2. Monjardino, M. & McBeath, T. & Ouzman, J. & Llewellyn, R. & Jones, B., 2015. "Farmer risk-aversion limits closure of yield and profit gaps: A study of nitrogen management in the southern Australian wheatbelt," Agricultural Systems, Elsevier, vol. 137(C), pages 108-118.
    3. Ridier, Aude & Chaib, Karim & Roussy, Caroline, 2016. "A Dynamic Stochastic Programming model of crop rotation choice to test the adoption of long rotation under price and production risks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 270-279.

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