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Relationship Between Attributes Of Beef Cattle Raised Using Ultrasound Technology And Prices Received At The Packers: A Hedonic Price Analysis

Author

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  • Rimal, Arbindra
  • Perkins, Tommy
  • Paschal, Joe C.

Abstract

Sluggish growth in per capita consumption and a downward pressure on beef price at the farm level has required producers to raise cattle that precisely target the meat attributes desired by consumers. Ultrasound technology can help farmers to produce a carcass with an optimal mix of marbling and muscling, and external fat. The results of this study show a high level of accuracy of ultrasound technology in predicting carcass attributes. An estimated hedonic regression model shows that the carcass attributes are reflected on the implicit beef price. Ultrasound technology helps producers to produce carcass with the desired attributes, thus obtain a higher price.

Suggested Citation

  • Rimal, Arbindra & Perkins, Tommy & Paschal, Joe C., 2003. "Relationship Between Attributes Of Beef Cattle Raised Using Ultrasound Technology And Prices Received At The Packers: A Hedonic Price Analysis," 2003 Annual meeting, July 27-30, Montreal, Canada 22090, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:22090
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    References listed on IDEAS

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    1. Feenstra, Robert C, 1995. "Exact Hedonic Price Indexes," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 634-653, November.
    2. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    3. Bowman Kenneth R. & Don E. Ethridge, 1992. "Characteristic Supplies and Demands in a Hedonic Framework: U.S. Market for Cotton Fiber Attributes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 991-1002.
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    Keywords

    Demand and Price Analysis;

    Statistics

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