IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-9086-1_9.html
   My bibliography  Save this book chapter

Traceability System of Dairy Products and Its Impacts on Consumer Behavior in China: An Application of Multinominal Logit Model

In: Agricultural Innovation in Asia

Author

Listed:
  • Hui Zhou

    (Chinese Academy of Agricultural Sciences)

  • Teruaki Nanseki

    (Kyushu University)

Abstract

With the rapid development of the dairy industry and some food safety problems happened in China, the traceability system plays a crucial role in in strengthening the supervision of dairy products safety and protecting the consumers’ rights. Using a structured questionnaire in face-to-face interview, the traceability system of dairy products and its impact on consumer behavior was discussed in this chapter. The Choice Modeling (CM) technique was applied in identifying which attributes were significant determinants of the consumers place on the traceability system, and the Multinominal Logit Model was used to analyze the data. The results informed that the consumers have a higher Willingness to Pay (WTP) on information with pictures than only information. Noticeably, consumers are concerned on the use of animal medicine especially on antibiotic record, and the antibiotic usage had the highest Marginal Willingness to Pay (MWTP) 3.69RMB relative to other attributes. Moreover, as for the socio-economic characteristics of consumers, the age, education and income revealed positive impacts on WTP.

Suggested Citation

  • Hui Zhou & Teruaki Nanseki, 2023. "Traceability System of Dairy Products and Its Impacts on Consumer Behavior in China: An Application of Multinominal Logit Model," Springer Books, in: Teruaki Nanseki (ed.), Agricultural Innovation in Asia, chapter 0, pages 149-157, Springer.
  • Handle: RePEc:spr:sprchp:978-981-19-9086-1_9
    DOI: 10.1007/978-981-19-9086-1_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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:spr:sprchp:978-981-19-9086-1_9. 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: 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.