IDEAS home Printed from https://ideas.repec.org/p/ags/aesc16/236346.html
   My bibliography  Save this paper

Consumer Preference and Demand for Traceable Food Attributes: A Choice-based Conjoint Analysis

Author

Listed:
  • Lu, Jiao
  • Wu, Linhai
  • Wang, Shuxian
  • Xu, Lingling

Abstract

The China market for traceable food has developed gradually over the past decade. This study surveyed 1380 consumers in seven pilot cities designated by the Chinese Ministry of Commerce for the construction of a meat and vegetable circulation traceability system. A choice-based conjoint analysis and multinomial logit model were used to study consumer preferences and demand for traceable pork attributes. The results demonstrated that certification of traceable information was the most important characteristic, followed by appearance and traceable information. Significant heterogeneity was observed in consumer preferences for the attributes of traceable pork. Consumers’ preferences for traceable attributes were significantly influenced by age, income level, and education level. Based on these results, we suggest that the government should strengthen the promotion of scientific knowledge regarding traceability systems, and encourage and support the production of traceable food with different traceability levels and different certification types. Moreover, the development of food traceability systems should be combined with a labeling system for quality certification.

Suggested Citation

  • Lu, Jiao & Wu, Linhai & Wang, Shuxian & Xu, Lingling, 2016. "Consumer Preference and Demand for Traceable Food Attributes: A Choice-based Conjoint Analysis," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236346, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc16:236346
    DOI: 10.22004/ag.econ.236346
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/236346/files/Jiao_Lu_Consumer%20Preference%20and%20Demand%20for%20Traceable%20Food%20Attributes%20A%20Choice-based%20Conjoint%20Analysis.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.236346?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
    ---><---

    Citations

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


    Cited by:

    1. 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.
    2. Lijing Zhu, 2017. "Economic Analysis of a Traceability System for a Two-Level Perishable Food Supply Chain," Sustainability, MDPI, vol. 9(5), pages 1-16, April.
    3. Adrián Csordás & István Füzesi, 2023. "The Impact of Technophobia on Vertical Farms," Sustainability, MDPI, vol. 15(9), pages 1-17, May.
    4. Lingling Xu & Xixi Yang & Linhai Wu & Xiujuan Chen & Lu Chen & Fu-Sheng Tsai, 2019. "Consumers’ Willingness to Pay for Food with Information on Animal Welfare, Lean Meat Essence Detection, and Traceability," IJERPH, MDPI, vol. 16(19), pages 1-22, September.
    5. Arif Yustian Maulana Noor & Hery Toiba & Budi Setiawan & Abdul Wahib Muhaimin & Adhitya Marendra Kiloes, 2022. "The application of choice experiments in a study on consumer preference for agri-food products: A literature review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(5), pages 189-197.

    More about this item

    Keywords

    Agricultural and Food Policy; Consumer/Household Economics;

    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:aesc16:236346. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/aesukea.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.