IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v43y2011i01p1-12_00.html

U.S. Consumers' Valuation of Quality Attributes in Beef Products

Author

Listed:
  • Abidoye, Babatunde O.
  • Bulut, Harun
  • Lawrence, John D.
  • Mennecke, Brian
  • Townsend, Anthony M.

Abstract

A sample of U.S. consumers were surveyed in a choice based experiment in the Fall of 2005 and Spring 2006 to elicit Consumers' preferences for quality attributes in beef products. Based on the resulting data, a random coefficients logit model is estimated, and Consumers' willingness to pay for these quality attributes in beef products is obtained. The results indicate that consumers have strong valuation for traceability, grass-fed, and U.S. origin attributes in a standard rib-eye steak and are willing to pay a premium for these attributes.

Suggested Citation

  • Abidoye, Babatunde O. & Bulut, Harun & Lawrence, John D. & Mennecke, Brian & Townsend, Anthony M., 2011. "U.S. Consumers' Valuation of Quality Attributes in Beef Products," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(1), pages 1-12, February.
    • Handle: RePEc:cup:jagaec:v:43:y:2011:i:01:p:1-12_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800004016/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Johnson, Myriah & Palma, Marco & Miller, Rhonda & Morrill, Jessie & Anderson, David P. & Sawyer, Jason & Wickersham, Tryon & Richardson, James, 2016. "Consumer Preferences for Sirloin Steak: The Influence of Tasting," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229610, Southern Agricultural Economics Association.
    2. Kar H. Lim & Wuyang Hu, 2016. "How Local Is Local? A Reflection on Canadian Local Food Labeling Policy from Consumer Preference," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(1), pages 71-88, March.
    3. 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.
    4. Blank, Steven C. & Saitone, Tina L. & Sexton, Richard J., 2016. "Calf and Yearling Prices in the Western United States: Spatial, Quality, and Temporal Factors in Satellite Video Auctions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(3), pages 1-23.
    5. Schulz, Lee L. & Schroeder, Ted C. & White, Katharine L., 2012. "Value of Beef Steak Branding: Hedonic Analysis of Retail Scanner Data," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(2), pages 260-273, August.
    6. Jones, Michael S. & House, Lisa A. & Gao, Zhifeng, 2015. "Attribute Non-Attendance and Satisficing Behavior in Online Choice Experiments," 2015 International European Forum (144th EAAE Seminar), February 9-13, 2015, Innsbruck-Igls, Austria 206252, International European Forum on System Dynamics and Innovation in Food Networks.
    7. Kar Ho Lim & Michael Vassalos & Michael Reed, 2018. "Point-of-Sale Specific Willingness to Pay for Quality-Differentiated Beef," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    8. Marco A. Palma & Myriah D. Johnson & David P. Anderson, 2019. "The effects of experience versus description of attributes on willingness‐to‐pay for beefsteaks," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 129-137, March.
    9. Linhai Wu & Xiaoru Gong & Shasha Qin & Xiujuan Chen & Dian Zhu & Wuyang Hu & Qingguang Li, 2017. "Consumer preferences for pork attributes related to traceability, information certification, and origin labeling: Based on China's Jiangsu Province," Agribusiness, John Wiley & Sons, Ltd., vol. 33(3), pages 424-442, June.
    10. Curtis, Kynda R., 2014. "Premium Potential for Geographically Labeled, Differentiated Meat Products," Journal of Agriculture, Food Systems, and Community Development, Center for Transformative Action, Cornell University, vol. 4(2).
    11. Ali Ardeshiri & Spring Sampson & Joffre Swait, 2019. "Seasonality Effects on Consumers Preferences Over Quality Attributes of Different Beef Products," Papers 1902.02419, arXiv.org.

    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:cup:jagaec:v:43:y:2011:i:01:p:1-12_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    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.