IDEAS home Printed from https://ideas.repec.org/p/ags/aaea09/48431.html
   My bibliography  Save this paper

Context-Dependent BSE Impacts on Canadian Food-at-Home Beef Purchases

Author

Listed:
  • Maynard, Leigh J.
  • Wang, Xin

Abstract

Household-level Canadian scanner data from 2002 – 2005 were used to identify consumer reactions to the early BSE discoveries that severely impacted Canada’s beef industry. In all provinces, consumers reacted to the initial BSE event by purchasing more beef, apparently to support struggling ranchers. Subsequent BSE events, however, met with reduced beef purchases. The results were consistent across three measures of monthly beef purchases: participation, units purchased, and beef expenditure share. Failing to account for the context of individual BSE events would have produced little evidence of consumer reaction, a common finding among prior North American BSE studies.

Suggested Citation

  • Maynard, Leigh J. & Wang, Xin, 2009. "Context-Dependent BSE Impacts on Canadian Food-at-Home Beef Purchases," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 48431, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:48431
    DOI: 10.22004/ag.econ.48431
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/48431/files/manuscript%20agecon%20search.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.48431?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
    ---><---

    References listed on IDEAS

    as
    1. Jin, Hyun Joung & Skripnitchenko, Anatoliy & Koo, Won W., 2004. "The Effects Of The Bse Outbreak In The United States On The Beef And Cattle Industry," Special Reports 23072, North Dakota State University, Center for Agricultural Policy and Trade Studies.
    2. Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
    3. Maynard, Leigh J. & Hartell, Jason G. & Meyer, A. Lee & Hao, Jianqiang, 2004. "An experimental approach to valuing new differentiated products," Agricultural Economics, Blackwell, vol. 31(2-3), pages 317-325, December.
    4. Richards, Timothy J. & Padilla, Luis, 2007. "Promotion and Fast Food Demand: Where's the Beef?," Consumer and Market Demand Network Papers 7711, University of Alberta, Department of Resource Economics and Environmental Sociology.
    5. A. Colin Cameron & Pravin K. Trivedi, 1986. "Econometric models based on count data. Comparisons and applications of some estimators and tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    6. Burton, Michael & Dorsett, Richard & Young, Trevor, 1996. "Changing Preferences for Meat: Evidence from UK Household Data, 1973-93," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(3), pages 357-370.
    7. Pritchett, James G. & Johnson, Kamina K. & Thilmany, Dawn D. & Hahn, William F., 2007. "Consumer Responses to Recent BSE Events," Journal of Food Distribution Research, Food Distribution Research Society, vol. 38(2), pages 1-12, July.
    8. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    9. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    10. Deborah J. Brown & Lee F. Schrader, 1990. "Cholesterol Information and Shell Egg Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 548-555.
    11. Leigh J. Maynard & Ellen Goddard & John Conley, 2008. "Impact of BSE on Beef Purchases in Alberta and Ontario Quick‐Serve Restaurants," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(3), pages 337-351, September.
    12. Peng, Yanning & McCann-Hiltz, Diane & Goddard, Ellen W., 2004. "Consumer Demand For Meat In Alberta, Canada: Impact Of Bse," 2004 Annual meeting, August 1-4, Denver, CO 20331, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Hikaru Hanawa Peterson & Yun-Ju (Kelly) Chen, 2005. "The impact of BSE on Japanese retail meat demand," Agribusiness, John Wiley & Sons, Ltd., vol. 21(3), pages 313-327.
    14. Vickner, Steven S. & Bailey, DeeVon & Dustin, Al, 2006. "Estimating the Market Demand for Value-Added Beef: Testing for BSE Announcement Effects Using a Nested PIGLOG Model Approach," 2006 Annual meeting, July 23-26, Long Beach, CA 21209, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    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. Wang, Xin & Maynard, Leigh J. & Butler, J.S., 2010. "Using Linked Household-level Datasets to Explain Consumer Response to BSE in Canada," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 60859, Agricultural and Applied Economics Association.

    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. Leigh J. Maynard & Ellen Goddard & John Conley, 2008. "Impact of BSE on Beef Purchases in Alberta and Ontario Quick‐Serve Restaurants," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(3), pages 337-351, September.
    2. Yadavalli, Anita & Jones, Keithly, 2014. "Does media influence consumer demand? The case of lean finely textured beef in the United States," Food Policy, Elsevier, vol. 49(P1), pages 219-227.
    3. Ding, Yulian & Veeman, Michele M. & Adamowicz, Wiktor L., 2009. "BSE and the Dynamics of Beef Consumption: Influences of Habit and Trust," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49284, Agricultural and Applied Economics Association.
    4. Antonio Menezes & Ainura Uzagalieva, 2013. "The Demand of Car Rentals: a Microeconometric Approach with Count Models and Survey Data," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 5(1), pages 25-41, June.
    5. Bakhtavoryan, Rafael & Capps, Oral, Jr. & Salin, Victoria, 2012. "Impact of Food Contamination on Brands: A Demand Systems Estimation of Peanut Butter," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-13, December.
    6. Moon, Wanki, 2002. "Estimating The Effect Of Health Knowledge In The Consumption Of Soy-Based Foods," 2002 Annual meeting, July 28-31, Long Beach, CA 19681, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Maynard, Leigh J. & Hartell, Jason G. & Meyer, A. Lee & Hao, Jianqiang, 2004. "An experimental approach to valuing new differentiated products," Agricultural Economics, Blackwell, vol. 31(2-3), pages 317-325, December.
    8. Kajal Lahiri & Guibo Xing, 2004. "An econometric analysis of veterans’ health care utilization using two-part models," Empirical Economics, Springer, vol. 29(2), pages 431-449, May.
    9. Serge Garcia & Julien Jacob, 2010. "La valeur récréative de la forêt en France : une approche par les coûts de déplacement," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(1), pages 43-71.
    10. Pritchett, James G. & Johnson, Kamina K. & Thilmany, Dawn D. & Hahn, William F., 2007. "Consumer Responses to Recent BSE Events," Journal of Food Distribution Research, Food Distribution Research Society, vol. 38(2), pages 1-12, July.
    11. Michael D. Creel & Montserrat Farell, 2001. "Likelihood-Based Approaches to Modeling Demand for Medical Care," UFAE and IAE Working Papers 498.01, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    12. Ding, Yulian & Veeman, Michele M. & Adamowicz, Wiktor L., 2013. "The influence of trust on consumer behavior: An application to recurring food risks in Canada," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 214-223.
    13. Antonio Clavero Barranquero & Mª. Luz González Alvarez, 2005. "A survey of econometric models to analyze the demand and utilisation of health care," Hacienda Pública Española / Review of Public Economics, IEF, vol. 173(2), pages 129-162, June.
    14. V. J. Cano Fernandez & G. Guirao Perez & M. C. Rodriguez Donate & M. E. Romero Rodriguez, 2009. "An analysis of count data models for the study of exclusivity in wine consumption," Applied Economics, Taylor & Francis Journals, vol. 41(12), pages 1563-1574.
    15. Langyintuo, Augustine S. & Mungoma, Catherine, 2008. "The effect of household wealth on the adoption of improved maize varieties in Zambia," Food Policy, Elsevier, vol. 33(6), pages 550-559, December.
    16. Islam Hassouneh & Teresa Serra & José M. Gil, 2010. "Price transmission in the Spanish bovine sector: the BSE effect," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 33-42, January.
    17. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    18. Christopher J. W. Zorn, 1998. "An Analytic and Empirical Examination of Zero-Inflated and Hurdle Poisson Specifications," Sociological Methods & Research, , vol. 26(3), pages 368-400, February.
    19. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    20. Harald Oberhofer & Michael Pfaffermayr, 2014. "Two-Part Models for Fractional Responses Defined as Ratios of Integers," Econometrics, MDPI, vol. 2(3), pages 1-22, September.

    More about this item

    Keywords

    Demand and Price Analysis; Food Consumption/Nutrition/Food Safety;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aaea09:48431. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.