IDEAS home Printed from https://ideas.repec.org/p/ags/uersmp/410191.html

Factors Affecting U.S. Beef Consumption

Author

Listed:
  • Davis, Christopher G.
  • Lin, Biing-Hwan

Abstract

Beef is a highly consumed meat in the United States, averaging 67 pounds per person per year. Findings based on the 1994-96 and 1998 Continuing Survey of Food Intakes by Individuals (CSFII) indicate that most beef was eaten at home. Annual beef consumption per person was highest in the Midwest (73 pounds), followed by the South and West (65 pounds each), and the Northeast (63 pounds). Rural consumers ate more beef (75 pounds) than did urban and suburban consumers (66 and 63 pounds). Beef consumption also varies by race and ethnicity. Blacks ate 77 pounds of beef per person per year, followed by 69 pounds by Hispanics, 65 pounds by Whites, and 62 pounds by other races. Low-income consumers tend to eat more beef than do consumers in other income households.

Suggested Citation

  • Davis, Christopher G. & Lin, Biing-Hwan, 2005. "Factors Affecting U.S. Beef Consumption," Miscellaneous Publications 410191, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uersmp:410191
    DOI: 10.22004/ag.econ.410191
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/410191/files/LDP-M-135-02.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.410191?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. Lin, Biing-Hwan, "undated". "COVID-19 Working Paper: Shares of Commodity Consumption at Home, Restaurants, Fast Food Places, Schools, and Other Away-from-Home Places: 2013-16," USDA Miscellaneous 309612, United States Department of Agriculture.
    2. 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.
    3. Kim, Brent & Neff, Roni, 2009. "Measurement and communication of greenhouse gas emissions from U.S. food consumption via carbon calculators," Ecological Economics, Elsevier, vol. 69(1), pages 186-196, November.
    4. Mark R. Powell, 2013. "The Economic Efficiency of Sampling Size: The Case of Beef Trim Revisited," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 385-396, March.
    5. Ma, Meilin & Liu, Yunjuan, 2020. "Processor-Retailer Markup and Pricing Decision: Insights from the U.S. Beef Market 2011-16," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304350, Agricultural and Applied Economics Association.
    6. Hahn, William F. & Perry, Janet E. & Southard, Leland W., 2009. "Comparing Two Sources of Retail Meat Price Data," Economic Research Report 55958, United States Department of Agriculture, Economic Research Service.
    7. Pruitt, J. Ross & Holcomb, Rodney B., 2017. "Impacts of Food Safety Recalls and Consumer Information on Restaurant Performance," Journal of Food Distribution Research, Food Distribution Research Society, vol. 48(3), November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:uersmp:410191. 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/ersgvus.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.