IDEAS home Printed from https://ideas.repec.org/a/wly/agribz/v12y1996i4p309-316.html
   My bibliography  Save this article

The impact of generic advertising and the free rider problem: A look at the US orange juice market and imports

Author

Listed:
  • Mark G. Brown

    (Florida Department of Citrus)

  • Jonq-Ying Lee

    (Florida Department of Citrus)

  • Thomas H. Spreen

    (Food and Resource Economics Department, University of Florida, Gainesville, FL 32611-0240)

Abstract

Increased demand for an advertised product may increase price, that, in turn, may lead to a free rider problem where competitive imports increase and result in a smaller price increase than otherwise. A study of Florida Department of Citrus advertising for orange juice indicated that the free rider problem has notably limited the impact of advertising on price in the US market. High US orange juice demand, which in part has been a result of advertising, has attracted substantial amounts of orange juice imports. Imports have eroded the impact of advertising on price by an estimated two-thirds. © 1996 John Wiley & Sons, Inc.

Suggested Citation

  • Mark G. Brown & Jonq-Ying Lee & Thomas H. Spreen, 1996. "The impact of generic advertising and the free rider problem: A look at the US orange juice market and imports," Agribusiness, John Wiley & Sons, Ltd., vol. 12(4), pages 309-316.
  • Handle: RePEc:wly:agribz:v:12:y:1996:i:4:p:309-316
    DOI: 10.1002/(SICI)1520-6297(199607/08)12:4<309::AID-AGR1>3.0.CO;2-2
    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.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Brown, Mark G & Lee, Jonq-Ying, 1993. "Alternative Specifications of Advertising in the Rotterdam Model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 20(4), pages 419-436.
    2. Brown, Mark G. & Behr, Robert M. & Lee, Jonq-Ying, 1994. "Conditional Demand And Endogeneity? A Case Study Of Demand For Juice Products," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(1), pages 1-12, July.
    3. Ronald W. Ward & James E. Davis, 1978. "A Pooled Cross-Section Time Series Model of Coupon Promotions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 393-401.
    4. Lee, Jonq-Ying & Fairchild, Gary F., 1988. "Commodity Advertising, Imports And The Free Rider Problem," Journal of Food Distribution Research, Food Distribution Research Society, vol. 19(2), pages 1-7, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Capps, Oral, Jr. & Williams, Gary W. & Dang, Trang, 2010. "Effects of Lamb Promotion on Lamb Demand and Imports," Reports 90492, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
    2. John M. Crespi, 2003. "The Generic Advertising Controversy: How Did We Get Here and Where Are We Going?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(2), pages 294-315.
    3. Brown, Mark G. & Spreen, Thomas H. & Lee, Jonq-Ying, 2004. "Impacts On U.S. Prices Of Reducing Orange Juice Tariffs In Major World Markets," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(2), pages 1-8, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiao, Hui & Kinnucan, Henry W. & Kaiser, Harry M., 1998. "Advertising, Structural Change, and U.S. Non-Alcoholic Drink Demand," Research Bulletins 122688, Cornell University, Department of Applied Economics and Management.
    2. Brown, Mark G., 1986. "Orange Juice Coupon Redemption," 1986 Annual Meeting, July 27-30, Reno, Nevada 278460, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Kira Lancker & Julia Bronnmann, 2022. "Substitution Preferences for Fish in Senegal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 1015-1045, August.
    4. Gregory K. Price & John M. Connor, 2003. "Modeling coupon values for ready-to-eat breakfast cereals," Agribusiness, John Wiley & Sons, Ltd., vol. 19(2), pages 223-243.
    5. Walters, Rockney G. & Bommer, William, 1996. "Measuring the Impact of Product and Promotion-Related Factors on Product Category Price Elasticities," Journal of Business Research, Elsevier, vol. 36(3), pages 203-216, July.
    6. Thapa, Janani & Lyford, Conrad & Belasco, Eric J. & McCool, Barent & McCool, Audrey & Pence, Barbara & Carter, Tyra, 2014. "Nudges in the Supermarket: Experience from Point of Sale Signs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 171442, Agricultural and Applied Economics Association.
    7. Kenneth W. Clements & Antony Selvanathan & Saroja Selvanathan, 1996. "Applied Demand Analysis: A Survey," The Economic Record, The Economic Society of Australia, vol. 72(216), pages 63-81, March.
    8. Lisa A. House & Yuan Jiang & Matthew Salois, 2015. "Measures of Online Advertising Effectiveness for Market Penetration: The Case of Orange Juice Consumers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 435-448, December.
    9. Diansheng Dong & Harry M. Kaiser, 2005. "Coupon Redemption and Its Effect on Household Cheese Purchases," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 689-702.
    10. Leffler, Kristyn K. & Carpio, Carlos E. & Boonsaeng, Tullaya, 2012. "Temporal Aggregation and Treatment of Zero Dependent Variables in the Estimation of Food Demand using Cross-Sectional Data," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124913, Agricultural and Applied Economics Association.
    11. Maynard, Leigh J. & Veeramani, Venkat N., 2003. "Price Sensitivities for U.S. Frozen Dairy Products," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(3), pages 1-11, December.
    12. Fairchild, Gary F. & Lee, Jonq-Ying, 1990. "Citrus Export Market Development And Maintenance," Journal of Food Distribution Research, Food Distribution Research Society, vol. 21(3), pages 1-9, September.
    13. House, Lisa A. & Jiang, Yuan & Salois, Matthew, 2014. "Measures of Online Advertising Effectiveness: The Case of Orange Juice," 2014 AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, May 29-30, 2014, Montreal, Canada 169776, Agricultural and Applied Economics Association.
    14. Brown, Mark G., 2009. "Preference Variable Impacts in Direct and Inverse Differential Demand Systems," Research papers 104331, Florida Department of Citrus.
    15. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    16. Brown, Mark G. & Jauregui, Carlos E., 2011. "Conditional Demand System for Beverages," Research papers 104335, Florida Department of Citrus.
    17. Andrew Muhammad & S. Aaron Smith & Tun‐Hsiang Edward Yu, 2021. "COVID‐19 and cotton import demand in China," Agribusiness, John Wiley & Sons, Ltd., vol. 37(1), pages 3-24, January.
    18. Thomas Marsh & Ted Schroeder & James Mintert, 2004. "Impacts of meat product recalls on consumer demand in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 897-909.
    19. Brown, Mark G. & Lee, Jonq-Ying, 2000. "A Uniform Substitute Demand Model With Varying Coefficients," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(1), pages 1-10, April.
    20. Coulibaly, Nouhoun & Brorsen, B. Wade, 1998. "Resolving The Conflicts Between Previous Meat Generic Advertising Studies," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20897, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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:wly:agribz:v:12:y:1996:i:4:p:309-316. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297 .

    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.