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Perceived Traceability Costs and Benefits in the Italian Fisheries Supply Chain

Author

Listed:
  • Asioli, Daniele
  • Boecker, Andreas
  • Canavari, Maurizio
Abstract
The paper proposes a model in which it is hypothesized that firm characteristics influence both costs and benefits of traceability. The proposed model differentiates between aggregate measures and specific categories, as well as between expected costs and benefits on the one hand and perceived actual outcomes on the other, and is tested in a series of regression analyses based on a survey sample of 60 Italian fish processors. The findings indicate that firm characteristics are not strongly associated with any specific cost or benefit measure. However, expected overall benefits are highly significantly impacted by firm size and the number of quality management systems certified, while actual overall benefits only by firm size. Finally, the study also finds considerable discrepancies between expected and actual costs and benefits. The managerial implications of the findings are discussed.

Suggested Citation

  • Asioli, Daniele & Boecker, Andreas & Canavari, Maurizio, 2012. "Perceived Traceability Costs and Benefits in the Italian Fisheries Supply Chain," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 2(4), pages 1-19, March.
    • Handle: RePEc:ags:ijofsd:121954
    DOI: 10.22004/ag.econ.121954
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    References listed on IDEAS

    as
    1. Golan, Elise H. & Krissoff, Barry & Kuchler, Fred & Calvin, Linda & Nelson, Kenneth E. & Price, Gregory K., 2004. "Traceability In The U.S. Food Supply: Economic Theory And Industry Studies," Agricultural Economic Reports 33939, United States Department of Agriculture, Economic Research Service.
    2. Pouliot, Sebastien, 2008. "Estimating the Costs and Benefits of Cattle Traceability: the Case of the Quebec Cattle Traceability System," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6522, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    4. Golan, Elise H. & Crissoff, Barry & Kuchler, Fred & Nelson, Kenneth B. & Price, Gregory K. & Calvin, Linda, 2003. "Traceability in the US Food Supply: Dead End or Superhighway?," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 18(2), pages 1-4.
    5. Bulut, Harun & Lawrence, John D., 2007. "Meat Slaughter and Processing Plants' Traceability Levels Evidence From Iowa," Staff General Research Papers Archive 12791, Iowa State University, Department of Economics.
    6. Cristina Mora & Davide Menozzi, 2005. "Vertical contractual relations in the Italian beef supply chain," Agribusiness, John Wiley & Sons, Ltd., vol. 21(2), pages 213-235.
    7. Souza Monteiro, Diogo M. & Caswell, Julie A., 2004. "The Economics Of Implementing Traceability In Beef Supply Chains: Trends In Major Producing And Trading Countries," Working Paper Series 14521, University of Massachusetts, Amherst, Department of Resource Economics.
    8. Hobbs, Jill E., 2004. "Traceability in the Canadian Red Meat Sector," Economic and Market Information 55304, Agriculture and Agri-Food Canada.
    9. Canavari, Maurizio & Centonze, Roberta & Spadoni, Roberta, 2006. "Traceability as Part of Competitive Strategy in the Fruit Supply Chain," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25639, International Association of Agricultural Economists.
    10. Stuller, Zachary J. & Rickard, Bradley J., 2008. "Traceability Adoption by Specialty Crop Producers in California," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 26(2), pages 1-16.
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    Cited by:

    1. Dominik Zimon & Peter Madzik & Pedro Domingues, 2020. "Development of Key Processes along the Supply Chain by Implementing the ISO 22000 Standard," Sustainability, MDPI, vol. 12(15), pages 1-22, July.
    2. Aiello, Giuseppe & Enea, Mario & Muriana, Cinzia, 2015. "The expected value of the traceability information," European Journal of Operational Research, Elsevier, vol. 244(1), pages 176-186.

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