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Quality Differences and Risk Shifting Associated with Alternative Marketing Arrangements in the Swine Industry

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  • Vukina, Tomislav

Abstract

We analyze quality differences in market hogs across alternative procurement methods. The test results show that alternative marketing (procurement) channels generate hogs of statistically different quality. However, the quality ordering of alternative marketing arrangements is not unique, but varies across quality attributes, and the quality differences do not appear to be economically significant. We examine the relationship between alternative procurement methods for live hogs and the quality of the resulting pork products. The correlation coefficient between the non-spot market purchases of live hogs and the Hicks’ composite quality index for pork products is positive and significant, but the magnitude of that effect is small. Finally, we show that different types of marketing arrangements exhibit different price volatilities, subjecting the producers selling their hogs through these channels to different levels of risk.

Suggested Citation

  • Vukina, Tomislav, 2008. "Quality Differences and Risk Shifting Associated with Alternative Marketing Arrangements in the Swine Industry," Journal of Food Distribution Research, Food Distribution Research Society, vol. 39(2), pages 1-15, July.
  • Handle: RePEc:ags:jlofdr:55977
    DOI: 10.22004/ag.econ.55977
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    Cited by:

    1. Hu, Wu-Yueh & Vukina, Tomislav & Zheng, Viaoyong, 2014. "The Role of Risk and Risk-Aversion in Adoption of Alternative Marketing Arrangements by the U.S. Farmers," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 168930, Agricultural and Applied Economics Association.
    2. Zheng Xiaoyong & Vukina Tomislav & Shin Changmock, 2008. "The Role of Farmers' Risk aversion for Contract Choice in the US Hog Industry," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 6(1), pages 1-22, June.

    More about this item

    Keywords

    Livestock Production/Industries; Marketing;

    Statistics

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