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Can traffic light labelling nudge heuristical decision processes?

Author

Listed:
  • Seda Erdem

    (Economics Division, Stirling Management School, University of Stirling)

  • Danny Campbell

    (Economics Division, Stirling Management School, University of Stirling)

  • Tony McCarthy

    (Department of Work, Employment, and Organisation (WEO), Strathclyde Business School, University of Strathclyde, UK)

Abstract

This research investigates the effect of different front-of-pack nutritional labelling on individuals' decision-making processes and food choices. To do this, we combine a stated choice experiment, a preference elicitation technique, with an eye-tracking experiment to explore the tendency to make fast (or slow) decision-making processes. Our results show that when the tendency to make fast decisions decreases, the probability of ignoring an alternative also decreases. We also find that the labelling format plays an important role in influencing visual fixation and the probability of considering a choice alternative. Most importantly, we find that these effects are more prominent for unhealthy products compared to healthy products. The results have important implications for the food industry and the policy-makers regarding the front-of-pack labels. The findings show that labels using traffic light colour coding are more likely to help consumers process information than other formats, such as no-colour coded numeric labels. This gives insights into other areas where communication is delivered via labels to encourage people to make informed choices.

Suggested Citation

  • Seda Erdem & Danny Campbell & Tony McCarthy, 2022. "Can traffic light labelling nudge heuristical decision processes?," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(1), pages 37-45, December.
  • Handle: RePEc:beh:jbepv1:v:6:y:2022:i:1:p:37-45
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    References listed on IDEAS

    as
    1. Angela Tarabella & Lelia Voinea, 2013. "Advantages and Limitations of the Front-of-Package (FOP) Labeling Systems in Guiding the Consumers’ Healthy Food Choice," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 198-209, February.
    2. Balcombe, Kelvin & Fraser, Iain & Falco, Salvatore Di, 2010. "Traffic lights and food choice: A choice experiment examining the relationship between nutritional food labels and price," Food Policy, Elsevier, vol. 35(3), pages 211-220, June.
    3. Danny Campbell & Seda Erdem, 2015. "Position Bias in Best-worst Scaling Surveys: A Case Study on Trust in Institutions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 526-545.
    4. Van Loo, Ellen J. & Caputo, Vincenzina & Nayga, Rodolfo M. & Seo, Han-Seok & Zhang, Baoyue & Verbeke, Wim, 2015. "Sustainability labels on coffee: Consumer preferences, willingness-to-pay and visual attention to attributes," Ecological Economics, Elsevier, vol. 118(C), pages 215-225.
    5. Wim Verbeke, 2005. "Agriculture and the food industry in the information age," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(3), pages 347-368, September.
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    More about this item

    Keywords

    front-of-pack labelling; food choice; decision-making; eye-tracking; latent variable model;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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