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Beef Credence Attributes: Implications of Substitution Effects on Consumers’ WTP

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Listed:
  • Inês Viegas
  • Luís Catela Nunes
  • Lívia Madureira
  • Magda Aguiar Fontes
  • José Lima Santos

Abstract

type="main" xml:id="jage12067-abs-0001"> Consumers’ food choices are influenced by a wide variety of credence attributes, but the food industry faces problems assessing whether the price premiums that consumers are willing to pay for these attributes will be sufficient to offset higher production costs. In this context, consumers’ willingness to pay (WTP) for safer, cleaner and animal friendlier beef was investigated through a choice experiment. The relative importance of WTP for these attributes shows that consumers place the highest values on food safety, followed by animal welfare and finally environmental protection. WTP for different combinations of the three attributes cannot be obtained by independent valuation and summation due to the presence of significant substitution relationships. However, some suggestions for the relationships between these attributes can be proposed through an after-survey analytical solution. The bias involved in separately valuing closely related attributes can potentially jeopardise the success of a differentiation strategy.

Suggested Citation

  • Inês Viegas & Luís Catela Nunes & Lívia Madureira & Magda Aguiar Fontes & José Lima Santos, 2014. "Beef Credence Attributes: Implications of Substitution Effects on Consumers’ WTP," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(3), pages 600-615, September.
  • Handle: RePEc:bla:jageco:v:65:y:2014:i:3:p:600-615
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    File URL: http://hdl.handle.net/10.1111/jage.2014.65.issue-3
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    Citations

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    Cited by:

    1. Santeramo, Fabio Gaetano & Lamonaca, Emilia, 2020. "Objective risk and subjective risk: The role of information in food supply chains," MPRA Paper 104515, University Library of Munich, Germany.
    2. Stephane Bergeron & Maurice Doyon & Laurent Muller, 2019. "Strategic response: A key to understand how cheap talk works," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 75-83, March.
    3. Gibson, Fiona & Pannell, David & Boxall, Peter & Burton, Michael & Johnston, Robert & Kragt, Marit & Rogers, Abbie & Rolfe, John, 2016. "Non-market valuation in the economic analysis of natural hazards," Working Papers 236941, University of Western Australia, School of Agricultural and Resource Economics.
    4. Baoubadi Atozou & Lota D. Tamini & Maurice Doyon, 2022. "Bargaining power and risk from substitutability between products attributes the case of specialty eggs in Canada," Agricultural Economics, International Association of Agricultural Economists, vol. 53(1), pages 155-169, January.
    5. Faical Akaichi & Klaus Glenk & Cesar Revoredo‐Giha, 2022. "Bundling food labels: What role could the labels “Organic,” “Local” and “Low Fat” play in fostering the demand for animal‐friendly meat," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 349-370, April.
    6. Akinwehinmi, Oluwagbenga & Ogundari, Kolawole & Amos, Taiwo, 2021. "Consumers' Food Control Risk Perception and Preference for Government-Controlled Safety Certification in Emerging Food Markets," 2021 Conference, August 17-31, 2021, Virtual 315312, International Association of Agricultural Economists.
    7. Marco Lerro & Riccardo Vecchio & Francesco Caracciolo & Stefano Pascucci & Luigi Cembalo, 2018. "Consumers' heterogeneous preferences for corporate social responsibility in the food industry," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(6), pages 1050-1061, November.
    8. Lingling Xu & Xixi Yang & Linhai Wu & Xiujuan Chen & Lu Chen & Fu-Sheng Tsai, 2019. "Consumers’ Willingness to Pay for Food with Information on Animal Welfare, Lean Meat Essence Detection, and Traceability," IJERPH, MDPI, vol. 16(19), pages 1-22, September.
    9. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.

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