IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277056.html
   My bibliography  Save this paper

Trends, transferring, and sources of aquatic products Risks in China: Evidence from the sampling inspections by national and provincial CFDA

Author

Listed:
  • Liang, Q.
  • Zhou, J.
  • Jin, C.
  • Zhou, W.
  • Wang, Y.

Abstract

This paper maps the risks of aquatic products in different seasons, categorizes risk items, explores the transferring of risk items along the supply chain, and identifies actual risk sources of aquatic products in China, based on the data of regular sampling inspections for aquatic products conducted by national and provincial CFDA. Both descriptive analysis and crossing matrix analysis are used. Some explicit results are derived from the analyses. First, the quality and safety of aquatic products in China exhibit stable improving. Second, economically motivated adulterations by people s behaviors such as the use of drugs and chemical additives are the most important causes of risks for aquatic products. Third, risks at upstream parts transfer along the supply chain to the downstream. Fourth, the two riskiest stages causing food safety problem are manufacture and farming. Specifically, most risks for fresh aquatic products lie in farming, while those for processed products are at manufacture. However, the assignment of regulation strength and resources does not match with the distribution of risks. Stronger regulations such as the adoption of origin certificate at farms and more sampling inspections at manufacture are necessary to control for the risks of aquatic products. Acknowledgement : The work was supported by the the project Systemic Risk Management of Food Supply Chains in China , National Natural Science Foundation of China (No. 71773109, 71573227, 71633002); and the Project of Humanities and Social Science of the Ministry of Education in China (grant number 14YJC790089); Zhejiang Philosophy and Social Science (Grant No. 17NDJC193YB).

Suggested Citation

  • Liang, Q. & Zhou, J. & Jin, C. & Zhou, W. & Wang, Y., 2018. "Trends, transferring, and sources of aquatic products Risks in China: Evidence from the sampling inspections by national and provincial CFDA," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277056, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277056
    DOI: 10.22004/ag.econ.277056
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277056/files/765.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.277056?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
    ---><---

    References listed on IDEAS

    as
    1. Meuwissen, Miranda P.M. & Velthuis, Annet G.J. & Hogeveen, Henk & Huirne, Ruud B.M., 2003. "Traceability And Certification In Meat Supply Chains," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 21(2), pages 1-15.
    2. Julie A. Caswell & Eliza M. Mojduszka, 1996. "Using Informational Labeling to Influence the Market for Quality in Food Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1248-1253.
    3. Hobbs, Jill E. & Sanderson, Kim, 2007. "Traceability and Quality Verification in the Canadian Beef Industry: Where To From Here?," Journal of Food Distribution Research, Food Distribution Research Society, vol. 38(1), pages 1-4, March.
    4. Golan, Elise H. & Roberts, Tanya & Salay, Elisabete & Caswell, Julie A. & Ollinger, Michael & Moore, Danna L., 2004. "Food Safety Innovation In The United States: Evidence From The Meat Industry," Agricultural Economic Reports 34083, United States Department of Agriculture, Economic Research Service.
    5. Jill E. Hobbs, 2004. "Information asymmetry and the role of traceability systems," Agribusiness, John Wiley & Sons, Ltd., vol. 20(4), pages 397-415.
    Full references (including those not matched with items on IDEAS)

    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. Henson, Spencer J. & Sparling, David & Herath, Deepananda P.B. & Dessureault, Simon, 2005. "Traceability in the Canadian Dairy Processing Sector," Economic and Market Information 55303, Agriculture and Agri-Food Canada.
    2. Mao-Chang Wang & Chin-Ying Yang, 2019. "Analysing the traceability system in herbal product industry by game theory," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(2), pages 74-81.
    3. Danielle Galliano & Luis Orozco, 2011. "The determinants of electronic traceability adoption: a firm‐level analysis of French agribusiness," Agribusiness, John Wiley & Sons, Ltd., vol. 27(3), pages 379-397, June.
    4. 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.
    5. Zengjin Liu & Ning Geng & Zhuo Yu, 2022. "Does a Traceability System Help to Regulate Pig Farm Households’ Veterinary Drug Use Behavior? Evidence from Pig Farms in China," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    6. Heyder, Matthias & Hollmann-Hespos, Thorsten & Theuvsen, Ludwig, 2010. "Agribusiness Firm Reactions to Regulations: The Case of Investments in Traceability Systems," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 1(2), pages 1-10.
    7. Resende Filho, Moises de Andrade, 2007. "A Principal-Agent Model for Investigating Traceability Systems Incentives on Food Safety," 105th Seminar, March 8-10, 2007, Bologna, Italy 7897, European Association of Agricultural Economists.
    8. 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.
    9. Tingqiang Chen & Lei Wang & Jining Wang & Qi Yang, 2017. "A Network Diffusion Model of Food Safety Scare Behavior considering Information Transparency," Complexity, Hindawi, vol. 2017, pages 1-16, December.
    10. Lusk Jayson L. & Marette Stéphan, 2012. "Can Labeling and Information Policies Harm Consumers?," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 10(1), pages 1-15, October.
    11. Banterle, Alessandro & Stranieri, Stefanella, 2008. "The consequences of voluntary traceability system for supply chain relationships. An application of transaction cost economics," Food Policy, Elsevier, vol. 33(6), pages 560-569, December.
    12. Curzi, Daniele & Raimondi, Valentina & Olper, Alessandro, 2013. "Quality Upgrading, Competition and Trade Policy: Evidence from the Agri-Food Sector," 2013: Productivity and Its Impacts on Global Trade, June 2-4, 2013. Seville, Spain 152386, International Agricultural Trade Research Consortium.
    13. Pearson, David, 2003. "Australia Fresh fruits and vegetables: Why do so many of them remain unbranded?," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 11.
    14. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    15. Bimbo, Francesco & Bonanno, Alessandro & Viscecchia, Rosaria, 2019. "An empirical framework to study food labelling fraud: an application to the Italian extra-virgin olive oil market," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    16. Bulut, Harun & Lawrence, John D., 2007. "Meat Slaughter and Processing Plants’ Traceability Levels Evidence From Iowa," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37576, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    17. Mario F. Teisl & Julie A. Caswell, 2003. "Information Policy and Genetically Modified Food: Weighting the Benefits and Costs," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 4, March.
    18. Ramo Barrena & Mercedes Sánchez, 2012. "Abstraction and product categories as explanatory variables for food consumption," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3987-4003, October.
    19. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    20. E. Rouvière & K. Latouche, 2014. "Impact of liability rules on modes of coordination for food safety in supply chains," European Journal of Law and Economics, Springer, vol. 37(1), pages 111-130, February.

    More about this item

    Keywords

    Risk and Uncertainty;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ags:iaae18:277056. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    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.