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Investment behavior of Canadian Egg Producers: Analyzing the Impacts of Risk Aversion and Variability of Prices and Costs of Production

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Listed:
  • L.D. Tamini
  • M. Doyon
  • M.M. Zan
Abstract
Animal welfare is a major concern for consumers. This concern has not gone unnoticed by sector stakeholders, especially egg producers. One of the fundamental changes likely to affect egg producers regards modes of production, specifically changes in housing systems, ranging from conventional cages to free range. From farmers’ perspective, changing their mode of production generates a technological and economic/marketing risk. This study documents the level of risk in the Canadian egg sector (conventional and specialty eggs) using data from 2009 to 2011. Our results indicate multiple uncertainty sources (technological, cost of production, price of eggs) that vary according to the types of eggs. We use a quadratic programming approach applied to expected mean-variance models to analyze the impact of risk on decision to invest when the resources must be allocated to different types of production that have different risk levels. Overall our results show how, given risk aversion parameters, producers minimize their risk levels by devoting their resources to the least risky type of eggs. An important result of our study is that supply management, by reducing the perceived risk level, has favored the development of specialty eggs, for the benefit of consumers.

Suggested Citation

  • L.D. Tamini & M. Doyon & M.M. Zan, 2014. "Investment behavior of Canadian Egg Producers: Analyzing the Impacts of Risk Aversion and Variability of Prices and Costs of Production," Cahiers de recherche CREATE 2014-2, CREATE.
  • Handle: RePEc:lvl:creacr:2014-2
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    File URL: https://www.create.ulaval.ca/sites/create.ulaval.ca/files/Publications/create2014-2.pdf
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    References listed on IDEAS

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    1. Martin, Larry J. & Kruja, Zana & Alexiou, John, 1998. "Prospects For Expanded Egg Production In Western Canada," Final Reports 18147, George Morris Center.
    2. Sumner, Daniel A. & Matthews, William A. & Thurman, Walter N. & Hayes, Dermot J. & Gow, Harnish & Norwood, Bailey, 2010. "Economic and Market Issues on the Sustainability of Egg Production in the United States: Analysis of Alternative Production Systems," Staff General Research Papers Archive 31542, Iowa State University, Department of Economics.
    3. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(4), pages 664-665.
    4. Lien, Gudbrand D. & Flaten, Ola & Ebbesvik, Martha & Koesling, Matthias & Valle, Paul Steinar, 2003. "Risk and Risk Management in Organic and Conventional Dairy Farming: Empirical Results from Norway," 14th Congress, Perth, Western Australia, August 10-15, 2003 24382, International Farm Management Association.
    5. Moawia Alghalith, 2010. "The theory of the firm under multiple uncertainties," Economics Bulletin, AccessEcon, vol. 30(3), pages 2075-2082.
    6. Martins, M. Belem & Marques, Carlos, 2007. "Methodological aspects of a mathematical programming model to evaluate soil tillage technologies in a risky environment," European Journal of Operational Research, Elsevier, vol. 177(1), pages 556-571, February.
    7. Sandmo, Agnar, 1971. "On the Theory of the Competitive Firm under Price Uncertainty," American Economic Review, American Economic Association, vol. 61(1), pages 65-73, March.
    8. Komarek, Adam M. & MacAulay, T. Gordon, 2013. "Farmer responses to changing risk aversion, enterprise variability and resource endowments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(3).
    9. Louis Eeckhoudt & Alban Thomas & Nicolas Treich, 2011. "Correlated risks and the value of information," Journal of Economics, Springer, vol. 102(1), pages 77-87, January.
    10. Paolo Sckokai & Daniele Moro, 2006. "Modeling the Reforms of the Common Agricultural Policy for Arable Crops under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 43-56.
    11. P. B. R. Hazell, 1971. "A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 53-62.
    12. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    13. Bobtcheff, Catherine & Villeneuve, Stéphane, 2010. "Technology choice under several uncertainty sources," European Journal of Operational Research, Elsevier, vol. 206(3), pages 586-600, November.
    14. van Horne, Peter L.M. & Bondt, Nico, 2003. "Impact Of Eu Council Directive 99/74/Ec 'Welfare Of Laying Hens' On The Competitiveness Of The Eu Egg Industry," Report Series 29126, Wageningen University and Research Center, Agricultural Economics Research Institute.
    15. James I. Rude & Jean‐Philippe Gervais, 2006. "Tariff‐Rate Quota Liberalization: The Case of World Price Uncertainty and Supply Management," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(1), pages 33-54, March.
    16. Bruce A. McCarl & Hayri Önal, 1989. "Linear Approximation Using MOTAD and Separable Programming: Should It Be Done?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 158-166.
    17. Adam M. Komarek & T. Gordon MacAulay, 2013. "Farmer responses to changing risk aversion, enterprise variability and resource endowments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(3), pages 379-398, July.
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    Cited by:

    1. Nathan Pelletier & Maurice Doyon & Bruce Muirhead & Tina Widowski & Jodey Nurse-Gupta & Michelle Hunniford, 2018. "Sustainability in the Canadian Egg Industry—Learning from the Past, Navigating the Present, Planning for the Future," Sustainability, MDPI, vol. 10(10), pages 1-24, September.

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    More about this item

    Keywords

    Eggs production; Risk aversion; Uncertainty; Expected mean-variance model; Prices and cost volatility;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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