IDEAS home Printed from
   My bibliography  Save this article

Exploring Heterogeneity in Consumers’ Meat Store Choices in an Emerging Market


  • Hu, Wuyang


Chinese consumers’ choices among meat stores are examined through a model that can capture consumer heterogeneities both in their opinion of various store attributes and in how much weight they attach to each attribute. This approach not only informs store managers as to what attributes should receive focus for improving their store images, but also provides insight about which specific attribute could be improved to achieve the most effective result. Based on the individual-level parameters obtained through an empirical Bayes analysis, managers or competitors are able to strategically target their store promotions to specific individual consumers based on their demographic characteristics.

Suggested Citation

  • Hu, Wuyang, 2006. "Exploring Heterogeneity in Consumers’ Meat Store Choices in an Emerging Market," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 24(2).
  • Handle: RePEc:ags:jloagb:62275

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Balogh, Péter & Békési, Dániel & Gorton, Matthew & Popp, József & Lengyel, Péter, 2016. "Consumer willingness to pay for traditional food products," Food Policy, Elsevier, vol. 61(C), pages 176-184.


    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:jloagb:62275. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.