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Food Beliefs: Elicitation, Estimation and Implications for Labeling Policy

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  • Marco Costanigro
  • Oana Deselnicu
  • Stephan Kroll

Abstract

type="main" xml:id="jage12085-abs-0001"> We present a model in which consumers use product attributes (or labels) and their own beliefs to form expectations about the quality of a product. We use best–worst scaling to elicit beliefs, and study how information may influence these beliefs. In our ranking experiments, participants sort different milk products according to (perceived) nutritional or environmental quality, and we use the resulting choice data to recover beliefs econometrically. In a nutritional quality experiment, we measure how food labels (i.e. front-of-package, back-of-package and ratio of recommended to restricted nutrients) alter consumers’ beliefs, finding that truthful attribute information may sometimes mislead consumers. The discussion explains how similar experiments could be used to distinguish informative labels from marketing messages.

Suggested Citation

  • Marco Costanigro & Oana Deselnicu & Stephan Kroll, 2015. "Food Beliefs: Elicitation, Estimation and Implications for Labeling Policy," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 108-128, February.
    • Handle: RePEc:bla:jageco:v:66:y:2015:i:1:p:108-128
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    File URL: http://hdl.handle.net/10.1111/jage.2014.66.issue-1
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    Citations

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    Cited by:

    1. Costanigro, Marco & Scozzafava, Gabriele & Casini, Leonardo, 2019. "Vertical differentiation via multi-tier geographical indications and the consumer perception of quality: The case of Chianti wines," Food Policy, Elsevier, vol. 83(C), pages 246-259.
    2. Jens Rommel & Meike Weltin, 2021. "Is There a Cult of Statistical Significance in Agricultural Economics?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(3), pages 1176-1191, September.
    3. Khachatryan, Hayk & Rihn, Alicia, 2018. "Defining U. S. Consumers' (mis)perceptions of Pollinator Friendly Labels: An Exploratory Study," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(3), February.
    4. Xiang Wu & Bin Hu & Jie Xiong, 2020. "Understanding Heterogeneous Consumer Preferences in Chinese Milk Markets: A Latent Class Approach," Post-Print hal-02489646, HAL.
    5. Muunda, Emmanuel & Mtimet, Nadhem & Schneider, Franziska & Wanyoike, Francis & Dominguez-Salas, Paula & Alonso, Silvia, 2021. "Could the new dairy policy affect milk allocation to infants in Kenya? A best-worst scaling approach," Food Policy, Elsevier, vol. 101(C).
    6. Marco Costanigro & Yuko Onozaka, 2020. "A Belief‐Preference Model of Choice for Experience and Credence Goods," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(1), pages 70-95, February.
    7. Edi Defrancesco & Maria Angela Perito & Irene Bozzolan & Leonardo Cei & Gianluca Stefani, 2017. "Testing Consumers’ Preferences for Environmental Attributes of Pasta. Insights from an ABR Approach," Sustainability, MDPI, vol. 9(10), pages 1-13, September.
    8. Van Asselt, Joanna & Nian, Yefan & Soh, Moonwon & Morgan, Stephen & Gao, Zhifeng, 2022. "Do plastic warning labels reduce consumers' willingness to pay for plastic egg packaging? – Evidence from a choice experiment," Ecological Economics, Elsevier, vol. 198(C).
    9. Onozaka, Yuko & Saue, Vegar Veseth & Costanigro, Marco, 2018. "The Moderating Effect of Heterogeneous Beliefs on Consumer Preferences for a New Food Technology: The Case of Modified Atmospheric Packaging," 2018 Annual Meeting, August 5-7, Washington, D.C. 274068, Agricultural and Applied Economics Association.
    10. Rebecca C. A. Tobi & Francesca Harris & Ritu Rana & Kerry A. Brown & Matthew Quaife & Rosemary Green, 2019. "Sustainable Diet Dimensions. Comparing Consumer Preference for Nutrition, Environmental and Social Responsibility Food Labelling: A Systematic Review," Sustainability, MDPI, vol. 11(23), pages 1-22, November.

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