IDEAS home Printed from https://ideas.repec.org/p/ags/aaea10/60859.html
   My bibliography  Save this paper

Using Linked Household-level Datasets to Explain Consumer Response to BSE in Canada

Author

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

Abstract

Household-level Canadian meat purchases from 2002-2008, household-level egg purchases from 2002-2005 and Food Opinion Survey in 2008 were used to understand how consumers who have different concerns about nutrition react to BSE events and how beef consumption after BSE discoveries were shaped by consumers concerns of food safety and their trust of government and the industry decision makers. Three measures of beef purchased were used to explore consumers’ reaction. A random effects logit model was applied to test whether any beef purchased during a given month. Consumption in terms of unit purchases was measured with a random effects Negative Binomial model and consumption in terms of beef expenditure was measured with a standard random effects model. Consumer behaviors in Alberta differed from Ontario. Consumer reactions to BSE in Alberta were stronger than Ontario. Overall, the more risk consumers attached to BSE, the less beef they purchased in both provinces. Random effects in the three models controlled for unobserved but persistent aspects of households and changed the sign of estimated effects of demographic variables.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:aaea10:60859
    DOI: 10.22004/ag.econ.60859
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/60859/files/poster%20for%20AAEA20100621.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.60859?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    3. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
    4. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    5. 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.
    6. Kyureghian, Gayaneh, 2009. "Food Away from Home Consumption and Obesity: Is ‘Average Consumer’ a Myth or Reality?," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 52114, Agricultural and Applied Economics Association.
    7. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    8. Rimal, Arbindra & Fletcher, Stanley M. & McWatters, Kay H., 1999. "Do Handling And Cooking Practices Determine The Selection Of Irradiated Beef?," Journal of Food Distribution Research, Food Distribution Research Society, vol. 30(3), pages 1-11, November.
    9. 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.
    10. Pritchett, James G. & Thilmany, Dawn D., 2005. "The Cow That Stole Christmas? Exploring the Role of Media Coverage in Recent BSE Outbreaks," Western Economics Forum, Western Agricultural Economics Association, vol. 4(2), pages 1-5.
    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. Labrecque, Joanne & Charlebois, Sylvain, 2006. "Conceptual Links between Two Mad Cow Crises: The Absence of Paradigmatic Change and Policymaking Implications," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 9(2), pages 1-29.
    13. Kim, Seon-Ae & Gillespie, Jeffrey M. & Paudel, Krishna P., 2005. "Count Data Analysis of the Adoption of Best Management Practices in Beef Cattle Production," 2005 Annual Meeting, February 5-9, 2005, Little Rock, Arkansas 35603, Southern Agricultural Economics Association.
    14. Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
    Full references (including those not matched with items on IDEAS)

    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. Shimokawa, S. & Niiyama, Y. & Kito, Y. & Kudo, H. & Yamaguchi, M., 2018. "No-tolerant Consumers, Information Treatments, and Demand for Stigmatized Foods: the Case of Fukushima Nuclear Power Plant Accident in Japan," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277198, International Association of Agricultural Economists.
    2. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    3. Chung, Chanjin & Briggeman, Brian C. & Han, Sungill, 2008. "Willingness to Pay for Beef Quality Attributes: Combining Mixed Logit and Latent Segmentation Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6411, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Ogoudélé S. Codjo & Alvaro Durand‐Morat & Grant H. West & Lawton Lanier Nalley & Rodolfo M. Nayga & Eric J. Wailes, 2021. "Estimating demand elasticities for rice in Benin," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 343-361, March.
    5. Stefano Mainardi, 2021. "Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers’ climate adaptation in Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6869-6912, May.
    6. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
    7. Bujosa Bestard, Angel & Riera Font, Antoni, 2010. "Estimating the aggregate value of forest recreation in a regional context," Journal of Forest Economics, Elsevier, vol. 16(3), pages 205-216, August.
    8. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    9. Schleich, Joachim & Faure, Corinne & Guetlein, Marie-Charlotte & Tu, Gengyang, 2020. "Conveyance, envy, and homeowner choice of appliances," Energy Economics, Elsevier, vol. 89(C).
    10. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    11. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    12. Arthur Van Soest & Arie Kapteyn & Julie Zissimopoulos, 2006. "Using Stated Preferences Data to Analyze Preferences for Full and Partial Retirement," Working Papers WR-345, RAND Corporation.
    13. Clark, Andrew E. & Senik, Claudia & Yamada, Katsunori, 2017. "When experienced and decision utility concur: The case of income comparisons," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 70(C), pages 1-9.
    14. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    15. Faure, Corinne & Guetlein, Marie-Charlotte & Schleich, Joachim & Tu, Gengyang & Whitmarsh, Lorraine & Whittle, Colin, 2022. "Household acceptability of energy efficiency policies in the European Union: Policy characteristics trade-offs and the role of trust in government and environmental identity," Ecological Economics, Elsevier, vol. 192(C).
    16. de Ayala, Amaia & Hoyos, David & Mariel, Petr, 2015. "Suitability of discrete choice experiments for landscape management under the European Landscape Convention," Journal of Forest Economics, Elsevier, vol. 21(2), pages 79-96.
    17. Cao, Ying (Jessica) & Cranfield, John & Chen, Chen & Widowski, Tina, 2021. "Heterogeneous informational and attitudinal impacts on consumer preferences for eggs from welfare enhanced cage systems," Food Policy, Elsevier, vol. 99(C).
    18. repec:dpr:wpaper:0930 is not listed on IDEAS
    19. Printezis, Iryna & Grebitus, Carola, 2018. "Marketing Channels for Local Food," Ecological Economics, Elsevier, vol. 152(C), pages 161-171.
    20. Raguragavan, Jananee & Hailu, Atakelty & Burton, Michael, 2013. "Economic Valuation of Recreational Fishing in Western Australia: Statewide Random Utility Modelling of Fishing Site Choice Behaviour," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-20.
    21. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.

    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:aaea10:60859. 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.