IDEAS home Printed from https://ideas.repec.org/a/wly/apecpp/v44y2022i1p219-236.html
   My bibliography  Save this article

How might broad adoption of blockchain‐based traceability impact the U.S. fresh produce supply chain?

Author

Listed:
  • Alba J. Collart
  • Elizabeth Canales

Abstract

Applications of blockchain in the food sector are growing and the adoption of farm‐to‐fork traceability systems is at the forefront. We review applications of blockchain across different dimensions while focusing on how broad adoption of the technology might help address major challenges faced by the U.S. fresh produce industry. These challenges include food safety, food fraud, food loss and waste, and the general need for better traceability systems. We discuss whether blockchain technologies might play a role in enhancing the resilience of the produce supply chain and highlight limitations and challenges of the technology stakeholders might consider going forward. JEL CLASSIFICATION L86; O32; Q13

Suggested Citation

  • Alba J. Collart & Elizabeth Canales, 2022. "How might broad adoption of blockchain‐based traceability impact the U.S. fresh produce supply chain?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 219-236, March.
    • Handle: RePEc:wly:apecpp:v:44:y:2022:i:1:p:219-236
    DOI: 10.1002/aepp.13134
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/aepp.13134
    Download Restriction: no
    File URL: https://libkey.io/10.1002/aepp.13134?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. Teisl, Mario F. & Roe, Brian E., 2010. "Consumer willingness-to-pay to reduce the probability of retail foodborne pathogen contamination," Food Policy, Elsevier, vol. 35(6), pages 521-530, December.
    2. Seung Oh Nam, 2018. "How Much Are Insurance Consumers Willing to Pay for Blockchain and Smart Contracts? A Contingent Valuation Study," Sustainability, MDPI, vol. 10(11), pages 1-11, November.
    3. Terry W. Griffin & Keith D. Harris & Jason K. Ward & Paul Goeringer & Jessica A. Richard, 2022. "Three Digital Agriculture Problems in Cotton Solved by Distributed Ledger Technology," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 237-252, March.
    4. Dickinson, David L. & Bailey, DeeVon, 2002. "Meat Traceability: Are U.S. Consumers Willing To Pay For It?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-17, December.
    5. Grunert, Klaus G., 2011. "Sustainability in the Food Sector: A Consumer Behaviour Perspective," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 2(3), pages 1-12, December.
    6. Jill E. Hobbs & DeeVon Bailey & David L. Dickinson & Morteza Haghiri, 2005. "Traceability in the Canadian Red Meat Sector: Do Consumers Care?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(1), pages 47-65, March.
    7. Sébastien Pouliot & Daniel A. Sumner, 2008. "Traceability, Liability, and Incentives for Food Safety and Quality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(1), pages 15-27.
    8. Buzby, Jean C. & Farah-Wells, Hodan & Hyman, Jeffrey, 2014. "The Estimated Amount, Value, and Calories of Postharvest Food Losses at the Retail and Consumer Levels in the United States," Economic Information Bulletin 164262, United States Department of Agriculture, Economic Research Service.
    9. Andrew G. Huff & Walter E. Beyeler & Nicholas S. Kelley & Joseph A. McNitt, 2015. "How resilient is the United States’ food system to pandemics?," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 5(3), pages 337-347, September.
    10. Loureiro, Maria L. & Umberger, Wendy J., 2007. "A choice experiment model for beef: What US consumer responses tell us about relative preferences for food safety, country-of-origin labeling and traceability," Food Policy, Elsevier, vol. 32(4), pages 496-514, August.
    11. Calvin, Linda, 2007. "Outbreak Linked to Spinach Forces Reassessment of Food Safety Practices," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-8, June.
    12. Yang Yu & Edward C. Jaenicke, 2020. "Estimating Food Waste as Household Production Inefficiency," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 525-547, March.
    13. Andrew Huff & Walter Beyeler & Nicholas Kelley & Joseph McNitt, 2015. "How resilient is the United States’ food system to pandemics?," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 5(3), pages 337-347, September.
    14. Carlos Arnade & Linda Calvin & Fred Kuchler, 2009. "Consumer Response to a Food Safety Shock: The 2006 Food-Borne Illness Outbreak of E. coli O157: H7 Linked to Spinach," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(4), pages 734-750, December.
    15. Mark Ferguson & Michael E. Ketzenberg, 2006. "Information Sharing to Improve Retail Product Freshness of Perishables," Production and Operations Management, Production and Operations Management Society, vol. 15(1), pages 57-73, March.
    16. Wen Lin & David L. Ortega & Danielle Ufer & Vincenzina Caputo & Titus Awokuse, 2022. "Blockchain‐based traceability and demand for U.S. beef in China," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 253-272, March.
    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. Shoufeng Cao & Henry Xu & Kim P. Bryceson, 2023. "Blockchain Traceability for Sustainability Communication in Food Supply Chains: An Architectural Framework, Design Pathway and Considerations," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    2. Aditi S. Saha & Rakesh D. Raut & Vinay Surendra Yadav & Abhijit Majumdar, 2022. "Blockchain Changing the Outlook of the Sustainable Food Supply Chain to Achieve Net Zero?," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    3. Lovina Yogarajan & Mohammad Masukujjaman & Mohd Helmi Ali & Norlin Khalid & Lokhman Hakim Osman & Syed Shah Alam, 2023. "Exploring the Hype of Blockchain Adoption in Agri-Food Supply Chain: A Systematic Literature Review," Agriculture, MDPI, vol. 13(6), pages 1-24, May.
    4. Sotiris P. Gayialis & Evripidis P. Kechagias & Georgios A. Papadopoulos & Dimitrios Masouras, 2022. "A Review and Classification Framework of Traceability Approaches for Identifying Product Supply Chain Counterfeiting," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    5. Bing-Bing Cao & Mei-Fei Zhu & Quan Tian, 2022. "Optimal Operation Policies in a Cross-Regional Fresh Product Supply Chain with Regional Government Subsidy Heterogeneity to Blockchain-Driven Traceability," Mathematics, MDPI, vol. 10(23), pages 1-40, December.
    6. Qianqian Zhai & Ali Sher & Qian Li, 2022. "The Impact of Health Risk Perception on Blockchain Traceable Fresh Fruits Purchase Intention in China," IJERPH, MDPI, vol. 19(13), pages 1-14, June.

    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. Chloe S McCallum & Simone Cerroni & Daniel Derbyshire & W George Hutchinson & Rodolfo M Nayga, 2022. "Consumers’ responses to food fraud risks: an economic experiment [Food fraud and consumers’ choices in the wake of the horsemeat scandal]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 942-969.
    2. 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.
    3. Linhai Wu & Xiaolin Liu & Dian Zhu & Hongsha Wang & Shuxian Wang & Lingling Xu, 2015. "Simulation of Market Demand for Traceable Pork with Different Levels of Safety Information: A Case Study in Chinese Consumers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 513-537, December.
    4. Wang, Erpeng & Gao, Zhifeng & Heng, Yan & Shi, Lijia, 2019. "Chinese consumers’ preferences for food quality test/measurement indicators and cues of milk powder: A case of Zhengzhou, China," Food Policy, Elsevier, vol. 89(C).
    5. Li, Tongzhe & Bernard, John C. & Johnston, Zachary A. & Messer, Kent D. & Kaiser, Harry M., 2017. "Consumer preferences before and after a food safety scare: An experimental analysis of the 2010 egg recall," Food Policy, Elsevier, vol. 66(C), pages 25-34.
    6. Wang, Shuxian & Wu, Linhai & Zhu, Dian & Wang, Hongsha & Xu, Lingling, 2014. "Chinese consumers’ preferences and willingness to pay for traceable food attributes: The case of pork," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 165639, Agricultural and Applied Economics Association.
    7. Maria Aguiar Fontes & Eric Giraud-Héraud & Alexandra Seabra Pinto, 2013. "Consumers' behaviour towards food safety: A litterature review," Working Papers hal-00912476, HAL.
    8. Pouliot, Sebastien, 2010. "Welfare Effects of Mandatory Traceability When Firms are Heterogeneous," ISU General Staff Papers 201001010800001010, Iowa State University, Department of Economics.
    9. Wu, Linhai & Wang, Shuxian & Zhu, Dian & Hu, Wuyang & Wang, Hongsha, 2015. "Chinese consumers’ preferences and willingness to pay for traceable food quality and safety attributes: The case of pork," China Economic Review, Elsevier, vol. 35(C), pages 121-136.
    10. Doherty, Edel & Campbell, Danny, 2011. "Demand for improved food safety and quality: a cross-regional comparison," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108791, Agricultural Economics Society.
    11. Busch, Gesa & Bayer, Elisa & Gunarathne, Anoma & Hölker, Sarah & Iweala, Sarah & Jürkenbeck, Kristin & Lemken, Dominic & Mehlhose, Clara & Ohlau, Marlene & Risius, Antje & Rubach, Constanze & Schütz, , 2020. "Einkaufs- und Ernährungsverhalten sowie Resilienz des Ernährungssystems aus Sicht der Bevölkerung: Ergebnisse einer Studie während der Corona-Pandemie im April 2020," DARE Discussion Papers 2003, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    12. Ximing Chen & Jie Shang & Muhammad Zada & Shagufta Zada & Xueqiang Ji & Heesup Han & Antonio Ariza-Montes & Jesús Ramírez-Sobrino, 2021. "Health Is Wealth: Study on Consumer Preferences and the Willingness to Pay for Ecological Agricultural Product Traceability Technology: Evidence from Jiangxi Province China," IJERPH, MDPI, vol. 18(22), pages 1-13, November.
    13. Taiyang Zhong & Jonathan Crush & Zhenzhong Si & Steffanie Scott, 2022. "Emergency food supplies and food security in Wuhan and Nanjing, China, during the COVID‐19 pandemic: Evidence from a field survey," Development Policy Review, Overseas Development Institute, vol. 40(3), May.
    14. Song, Shuang & Goh, Jenson C.L. & Tan, Hugh T.W., 2021. "Is food security an illusion for cities? A system dynamics approach to assess disturbance in the urban food supply chain during pandemics," Agricultural Systems, Elsevier, vol. 189(C).
    15. Zulug, Aslı & Miran, Bülent & Tsakiridou, Efthimia, 2015. "Consumer Preferences and Willingness to Pay for Country of Origin Labeled Product in Istanbul," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-10.
    16. McKendree, Melissa G.S. & Olynk Widmar, Nicole & Ortega, David L. & Foster, Kenneth A., 2013. "Consumer Preferences for Verified Pork-Rearing Practices in the Production of Ham Products," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(3), pages 1-21.
    17. Shengnan Sun & Xinping Wang & Yan Zhang, 2017. "Sustainable Traceability in the Food Supply Chain: The Impact of Consumer Willingness to Pay," Sustainability, MDPI, vol. 9(6), pages 1-19, June.
    18. Bo Hou & Linhai Wu & Xiujuan Chen & Dian Zhu & Ruiyao Ying & Fu-Sheng Tsai, 2019. "Consumers’ Willingness to Pay for Foods with Traceability Information: Ex-Ante Quality Assurance or Ex-Post Traceability?," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    19. Lim, Kar Ho & Hu, Wuyang & Maynard, Leigh J. & Goddard, Ellen W., 2012. "Stated Preference and Perception Analysis for Traceable and BSE-tested Beef: An Application of Mixed Error-Component Logit Model," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124784, Agricultural and Applied Economics Association.
    20. Shijiu Yin & Shanshan Lv & Yusheng Chen & Linhai Wu & Mo Chen & Jiang Yan, 2018. "Consumer preference for infant milk‐based formula with select food safety information attributes: Evidence from a choice experiment in China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(4), pages 557-569, December.

    More about this item

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

    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:wly:apecpp:v:44:y:2022:i:1:p:219-236. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)2040-5804 .

    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.