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A Principal-Agent Model for Evaluating the Economic Value of a Beef Traceability System: A Case Study with Injection-site Lesions Control in Fed Cattle

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  • Resende-Filho, Moises
  • Buhr, Brian

Abstract

This article investigates the economic value and the optimal expected traceback rate of success for a traceability system with a case study of injection-site lesions in fed cattle in the US. By maintaining the identity of the feedlot owners corresponding to retail beef cuts, a traceability system enables the employment of incentive mechanisms by a meat packer to overcome supply chain information asymmetry. Results of this article show that the first-best action of producers may be induced by meat packers with incentive mechanisms created with a low expected traceback rate of success. This suggests that even inexpensive traceability systems may induce appropriate actions by producers and objectives of inducing compliance by suppliers may be less costly than objectives of recall.

Suggested Citation

  • Resende-Filho, Moises & Buhr, Brian, 2006. "A Principal-Agent Model for Evaluating the Economic Value of a Beef Traceability System: A Case Study with Injection-site Lesions Control in Fed Cattle," MPRA Paper 467, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:467
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    File URL: https://mpra.ub.uni-muenchen.de/6693/1/MPRA_paper_6693.pdf
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    References listed on IDEAS

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    1. S. Andrew Starbird, 2005. "Moral Hazard, Inspection Policy, and Food Safety," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 15-27.
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    Cited by:

    1. Xiaoying Li & Qinghua Zhu, 2020. "Contract Design for Enhancing Green Food Material Production Effort with Asymmetric Supply Cost Information," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    2. Resende-Filho, Moises & Buhr, Brian, 2007. "Economics of traceability for mitigation of food recall costs," MPRA Paper 3650, University Library of Munich, Germany.
    3. Saak, Alexander E., 2016. "Traceability and reputation in supply chains," International Journal of Production Economics, Elsevier, vol. 177(C), pages 149-162.
    4. Ge, Candi & Adam, Brian, 2017. "Value-added Traceability: Using a Whole-Chain Traceability System to Transfer Information about Multiple Attributes along a Multi-Stage Beef Supply Chain," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258278, Agricultural and Applied Economics Association.
    5. Ng, Desmond W. & Salin, Victoria, 2012. "An Institutional Approach to the Examination of Food Safety," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(2), pages 1-26, May.
    6. Russo, Carlo & Perito, Maria Angela & Di Fonzo, Antonella, 2014. "Using Private Food Safety Standards to Manage Complexity: A Moral Hazard Perspective," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 15(2), pages 1-15.
    7. Thomas Kopp & Jan Salecker, 2018. "Modelling Social Evolutionary Processes and Peer Effects in Agricultural Trade Networks: the Rubber Value Chain in Indonesia," Papers 1811.11476, arXiv.org.
    8. Diogo M. Souza-Monteiro & Julie A. Caswell, 2010. "The Economics of Voluntary Traceability in Multi-Ingredient Food Chains," Agribusiness, John Wiley & Sons, Ltd., vol. 26(1), pages 122-142.
    9. Pendell, Dustin L. & Tonsor, Glynn T. & Dhuyvetter, Kevin C. & Brester, Gary W. & Schroeder, Ted C., 2013. "Evolving beef export market access requirements for age and source verification," Food Policy, Elsevier, vol. 43(C), pages 332-340.
    10. Souza Monteiro, Diogo M. & Caswell, Julie A., 2008. "Optimal choice of Voluntary traceability as a food risk management tool," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44394, European Association of Agricultural Economists.
    11. Fritz, Melanie & Schiefer, Gerhard, 2009. "Tracking, tracing, and business process interests in food commodities: A multi-level decision complexity," International Journal of Production Economics, Elsevier, vol. 117(2), pages 317-329, February.
    12. Gachukia, Martin Kang’ethe, 2015. "Moderating effect of traceability on value chain governance of credence goods: a perspective of the New Institutional Economics framework," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(2), pages 1-9, August.
    13. Seyoum, Bruk Tefera & Adam, Brian D. & Ge, Candi, 2013. "The Value of Genetic Information in a Whole-Chain Traceability System for Beef," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150458, Agricultural and Applied Economics Association.
    14. Kopp, T. & Salecker, J., 2018. "Identifying Influential Traders by Agent Based Modelling," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277130, International Association of Agricultural Economists.
    15. Olynk, Nicole J. & Wolf, Christopher A., 2010. "Aligning Incentives for Contract Dairy Heifer Growth," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(3), pages 1-14, December.

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    More about this item

    Keywords

    Information Asymmetry; Identity Preservation; Meat Traceability; Supply Chain Management;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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