IDEAS home Printed from https://ideas.repec.org/a/spr/ssefpa/v10y2018i4d10.1007_s12571-018-0826-z.html
   My bibliography  Save this article

The seafood supply chain from a fraudulent perspective

Author

Listed:
  • Michaela Fox

    (Queen’s University Belfast)

  • Mike Mitchell

    (Young’s Seafood, Ross House)

  • Moira Dean

    (Queen’s University Belfast)

  • Christopher Elliott

    (Queen’s University Belfast)

  • Katrina Campbell

    (Queen’s University Belfast)

Abstract

Food fraud is an intentional act for economic gain. It poses a risk to food integrity, the economy, public health and consumers’ ethics. Seafood is one commodity which has endured extensive fraudulent activity owing to its increasing consumer demand, resource limitations, high value and complex supply chains. It is essential that these fraudulent opportunities are revealed, the risk is evaluated and countermeasures for mitigation are assigned. This can be achieved through mapping of the seafood supply chains and identifying the vulnerability analysis critical control points (VACCP), which can be exposed, infiltrated and exploited for fraudulent activity. This research systematically maps the seafood supply chain for three key commodities: finfish, shellfish and crustaceans in the United Kingdom. Each chain is comprised of multiple stakeholders across numerous countries producing a diverse range of products distributed globally. For each supply chain the prospect of fraud, with reference to species substitution, fishery substitution, illegal, unreported and unregulated substitution, species adulteration, chain of custody abuse, catch method fraud, undeclared product extension, modern day slavery and animal welfare, has been identified and evaluated. This mapping of the fraudulent opportunities within the supply chains provides a foundation to rank known and emerging risks and to develop a proactive mitigation plan which assigns control measures and responsibility where vulnerabilities exist. Further intelligence gathering and management of VACCPs of the seafood supply chains may deter currently unknown or unexposed fraudulent opportunities.

Suggested Citation

  • Michaela Fox & Mike Mitchell & Moira Dean & Christopher Elliott & Katrina Campbell, 2018. "The seafood supply chain from a fraudulent perspective," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(4), pages 939-963, August.
  • Handle: RePEc:spr:ssefpa:v:10:y:2018:i:4:d:10.1007_s12571-018-0826-z
    DOI: 10.1007/s12571-018-0826-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12571-018-0826-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12571-018-0826-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Delgado, Christopher L. & Wada, Nikolas & Rosegrant, Mark W. & Meijer, Siet & Ahmed, Mahfuzuddin, 2003. "outlook for fish to 2020," Food policy reports 15, International Food Policy Research Institute (IFPRI).
    2. Kobayashi, Iwao & Takeno, Takeo & Sugawara, Mitsumasa, 2004. "Data transmission code towards international EDI for seafood supply chain," International Journal of Production Economics, Elsevier, vol. 87(3), pages 281-293, February.
    3. Brown, James, 2005. "An account of the dolphin-safe tuna issue in the UK," Marine Policy, Elsevier, vol. 29(1), pages 39-46, January.
    4. Pramod, Ganapathiraju & Nakamura, Katrina & Pitcher, Tony J. & Delagran, Leslie, 2014. "Estimates of illegal and unreported fish in seafood imports to the USA," Marine Policy, Elsevier, vol. 48(C), pages 102-113.
    5. Manning, Louise & Soon, Jan Mei, 2014. "Developing systems to control food adulteration," Food Policy, Elsevier, vol. 49(P1), pages 23-32.
    6. Miret-Pastor, Lluís & Peiró-Signes, Ángel & Segarra-Oña, Maria-del-Val & Herrera-Racionero, Paloma, 2014. "Empirical analysis of sustainable fisheries and the relation to economic performance enhancement: The case of the Spanish fishing industry," Marine Policy, Elsevier, vol. 46(C), pages 105-110.
    7. Christensen, Villy & Steenbeek, Jeroen & Failler, Pierre, 2011. "A combined ecosystem and value chain modeling approach for evaluating societal cost and benefit of fishing," Ecological Modelling, Elsevier, vol. 222(3), pages 857-864.
    8. David L. Ortega & H. Holly Wang & Nicole J. Olynk Widmar, 2014. "Aquaculture imports from Asia: an analysis of U.S. consumer demand for select food quality attributes," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 625-634, September.
    9. Aven, Terje, 2016. "Risk assessment and risk management: Review of recent advances on their foundation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 1-13.
    10. Jacquet, Jennifer L. & Pauly, Daniel, 2008. "Trade secrets: Renaming and mislabeling of seafood," Marine Policy, Elsevier, vol. 32(3), pages 309-318, May.
    11. Borit, Melania & Olsen, Petter, 2012. "Evaluation framework for regulatory requirements related to data recording and traceability designed to prevent illegal, unreported and unregulated fishing," Marine Policy, Elsevier, vol. 36(1), pages 96-102, January.
    12. Manning, Louise & Smith, Robert & Soon, Jan Mei, 2016. "Developing an organizational typology of criminals in the meat supply chain," Food Policy, Elsevier, vol. 59(C), pages 44-54.
    13. Gale, H. Frederick, Jr. & Buzby, Jean C., 2009. "Imports From China and Food Safety Issues," Economic Information Bulletin 58620, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vasilii Erokhin & Gao Tianming & Anna Ivolga, 2021. "Cross-Country Potentials and Advantages in Trade in Fish and Seafood Products in the RCEP Member States," Sustainability, MDPI, vol. 13(7), pages 1-40, March.
    2. Nguyen, Ly & Gao, Zhifeng & Anderson, James L., 2022. "Regulating menu information: What do consumers care and not care about at casual and fine dining restaurants for seafood consumption?," Food Policy, Elsevier, vol. 110(C).
    3. Nguyen, Ly & Gao, Zhifeng & Anderson, James L. & House, Lisa A., 2022. "The Impacts of Covid-19 on Consumers’ Willingness to Pay for Information Transparency at Casual and Fine Dining Restaurants," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322463, Agricultural and Applied Economics Association.
    4. Carmen Pedroza-Gutiérrez & Juan M. Hernández, 2020. "Social Networks and Supply Chain Management in Fish Trade," SAGE Open, , vol. 10(2), pages 21582440209, June.
    5. Adrian Munguia-Vega & Renata Terrazas-Tapia & Jose F Dominguez-Contreras & Mariana Reyna-Fabian & Pedro Zapata-Morales, 2022. "DNA barcoding reveals global and local influences on patterns of mislabeling and substitution in the trade of fish in Mexico," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-22, April.
    6. Wanessa Shuelen Costa Araújo & Carina Martins Moraes & Vanderson Vasconcelos Dantas & Andrey Carlos Sacramento de Oliveira & Talita Bandeira Roos & Luiza Helena da Silva Martins & Lúcia de Fátima H, 2020. "Standardization of Polymerase Chain Reaction Assay for the Authentication of Arapaima gigas fish," Journal of Agricultural Studies, Macrothink Institute, vol. 8(2), pages 716-728, June.
    7. Cangyu Jin & Retsef Levi & Qiao Liang & Nicholas Renegar & Stacy Springs & Jiehong Zhou & Weihua Zhou, 2021. "Testing at the Source: Analytics-Enabled Risk-Based Sampling of Food Supply Chains in China," Management Science, INFORMS, vol. 67(5), pages 2985-2996, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nguyen, Ly & Gao, Zhifeng & Anderson, James L., 2022. "Regulating menu information: What do consumers care and not care about at casual and fine dining restaurants for seafood consumption?," Food Policy, Elsevier, vol. 110(C).
    2. Schaefer, K. Aleks & Scheitrum, Daniel & Nes, Kjersti, 2018. "International sourcing decisions in the wake of a food scandal," Food Policy, Elsevier, vol. 81(C), pages 48-57.
    3. Barendse, Jaco & Francis, Junaid, 2015. "Towards a standard nomenclature for seafood species to promote more sustainable seafood trade in South Africa," Marine Policy, Elsevier, vol. 53(C), pages 180-187.
    4. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    5. Gale, Fred, 2013. "Growth and Evolution in China's Agricultural Support Policies," Economic Research Report 155385, United States Department of Agriculture, Economic Research Service.
    6. Bifani, Paolo & Agardy, Tundi & Vivas Eugui, David & Jaramillo, Lorena & Gómez- García, René & Vignati, Federico, . "Blue BioTrade: Harnessing Marine Trade to Support Ecological Sustainability and Economic Equity," Books, CAF Development Bank Of Latinamerica, number 1415.
    7. repec:arp:tjssrr:2019:p:69-75 is not listed on IDEAS
    8. Fabio Boncinelli & Francesca Gerini & Benedetta Neri & Leonardo Casini, 2018. "Consumer willingness to pay for non‐mandatory indication of the fish catch zone," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 728-741, October.
    9. Mussard, Stéphane & Pi Alperin, María Noel, 2021. "Accounting for risk factors on health outcomes: The case of Luxembourg," European Journal of Operational Research, Elsevier, vol. 291(3), pages 1180-1197.
    10. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    11. Mangirdas Morkunas & Gintaras Cernius & Gintare Giriuniene, 2019. "Assessing Business Risks of Natural Gas Trading Companies: Evidence from GET Baltic," Energies, MDPI, vol. 12(14), pages 1-14, July.
    12. Scholz, Roland W. & Czichos, Reiner & Parycek, Peter & Lampoltshammer, Thomas J., 2020. "Organizational vulnerability of digital threats: A first validation of an assessment method," European Journal of Operational Research, Elsevier, vol. 282(2), pages 627-643.
    13. Fei Shen & Qifang Wu & Anxiang Su & Peian Tang & Xiaolong Shao & Bing Liu, 2016. "Detection of adulteration in freshly squeezed orange juice by electronic nose and infrared spectroscopy," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 34(3), pages 224-232.
    14. Dr Jason Mwanza & Nothando Tshuma, 2023. "Mitigating Business Risk in Manufacturing SMEs: A nexus between informal and formal business risk management: A case of Bulawayo, Zimbabwe," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(1), pages 1107-1138, January.
    15. Li, Weijun & Sun, Qiqi & Zhang, Jiwang & Zhang, Laibin, 2024. "Quantitative risk assessment of industrial hot work using Adaptive Bow Tie and Petri Nets," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    16. Blasiak, Robert, 2015. "Balloon effects reshaping global fisheries," Marine Policy, Elsevier, vol. 57(C), pages 18-20.
    17. Don Pagach & Monika Wieczorek-Kosmala, 2020. "The Challenges and Opportunities for ERM Post-COVID-19: Agendas for Future Research," JRFM, MDPI, vol. 13(12), pages 1-10, December.
    18. Martin Bohle & Cornelia E. Nauen & Eduardo Marone, 2019. "Ethics to Intersect Civic Participation and Formal Guidance," Sustainability, MDPI, vol. 11(3), pages 1-17, February.
    19. Yu-Hui Chen & Kai-Han Qiu & Kang Ernest Liu & Chun-Yuan Chiang, 2020. "Are Consumers Willing to Pay a Premium for Pure Rice Noodles? A Study of Discrete Choice Experiments in Taiwan," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    20. KeumJi Kim & SeongHwan Yoon, 2018. "Assessment of Building Damage Risk by Natural Disasters in South Korea Using Decision Tree Analysis," Sustainability, MDPI, vol. 10(4), pages 1-22, April.
    21. Tatiana Yu. Kudryavtseva & Angi E. Skhvediani & Maiia S. Leukhina & Alexandra O. Schneider, 2023. "A Fuzzy Model for Personnel Risk Analysis: Case of Russian-Finnish Export-Import Operations of Small and Medium Enterprises," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(3), pages 683-709.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ssefpa:v:10:y:2018:i:4:d:10.1007_s12571-018-0826-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.