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Dynamic Adjustment in Vertically Linked Markets: The Case of the U.S. Beef Industry

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  • Brian L. Buhr
  • Hanho Kim

Abstract

This duality model is used to investigate the dynamic structure of vertically linked sectors of the U.S. beef industry. The model employed allows for explicit hypothesis tests of the adjustment process and technology change. Vertically related sectors of the beef industry are included to emulate the organizational structure of the industry. Results suggest that the cow-calf, feedlot, and beef processing sectors of the U.S. industry face significant adjustment costs. Another important finding is that imports may provide a way for the U.S. beef industry to adjust to short-run market changes. Copyright 1997, Oxford University Press.

Suggested Citation

  • Brian L. Buhr & Hanho Kim, 1997. "Dynamic Adjustment in Vertically Linked Markets: The Case of the U.S. Beef Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 126-138.
    • Handle: RePEc:oup:ajagec:v:79:y:1997:i:1:p:126-138
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    Citations

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    Cited by:

    1. Arnade, Carlos Anthony & Gopinath, Munisamy, 1998. "Capital Adjustment In U.S. Agriculture And Food Processing: A Cross-Sectoral Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(1), pages 1-14, July.
    2. Melissa G. S. McKendree & Glynn T. Tonsor & Ted C. Schroeder & Nathan P. Hendricks, 2020. "Impacts of Retail and Export Demand on United States Cattle Producers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 866-883, May.
    3. Karp, Larry & Paul, Thierry, 2007. "Indeterminacy with environmental and labor dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 18(1), pages 100-119, March.
    4. Kent D. Messer & Todd M. Schmit & Harry M. Kaiser, 2005. "Optimal Institutional Mechanisms for Funding Generic Advertising: An Experimental Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1046-1060.
    5. Yang, Sansi & Shumway, C. Richard, 2014. "Dynamic Adjustment in U.S. Agriculture under Climate Uncertainty," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170609, Agricultural and Applied Economics Association.
    6. Yener Kandogan, 2003. "On Types of Trade,Adjustment of Labor and Welfare Gains During Asymmetric Liberalizations," William Davidson Institute Working Papers Series 2003-568, William Davidson Institute at the University of Michigan.
    7. Mbaga, Msafiri Daudi & Coyle, Barry T., 2003. "Beef Supply Response Under Uncertainty: An Autoregressive Distributed Lag Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-21, December.
    8. Boonsaeng, Tullaya & Wohlgenant, Michael K., 2006. "The Demand for Livestock by the U.S. Meat Processing Industry," 2006 Annual meeting, July 23-26, Long Beach, CA 21120, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Karp, Larry & Paul, Thierry, 2002. "Intersectoral Adjustment and Policy Intervention: the Importance of General Equilibrium Effects," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7rk3z9w1, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Pritchett, James G. & Thilmany, Dawn D. & Johnson, Kamina K., 2005. "Animal Disease Economic Impacts: A Survey of Literature and Typology of Research Approaches," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 8(1), pages 1-23.
    11. Larry Karp & Thierry Paul, 2005. "Intersectoral Adjustment and Policy Intervention: the Importance of General‐Equilibrium Effects," Review of International Economics, Wiley Blackwell, vol. 13(2), pages 330-355, May.

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