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The effects of traffic light labels and involvement on consumer choices for food and financial products

Author

Listed:
  • Larissa Drescher

    (School of Management - Technische Universitaet Muenchen)

  • Jutta Roosen

    (School of Management - Technische Universitaet Muenchen)

  • Stephan Marette

    (ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

Abstract

Des feux de signalisation (FS) qui sont affichés sur les produits et qui informent les consommateurs sur la sécurité des produits ont reçu une attention croissante dans différents domaines. Ce document présente les résultats d'une expérience menée en Allemagne, afin d'évaluer l'impact de l'étiquetage des FS sur les achats d'alimentation et de produits financiers. Les résultats montrent que les FS affectent les achats des consommateurs pour les deux types de produits. Pour l'alimentation, alors que l'attribut « faible en gras » n'a pas d'impact significatif sur les choix d'aliments sans FS, cet attribut a un impact positif sur le choix d'aliments une fois qu'il est signalé par un FS. L'impact positif de l'étiquette BIO d'un produit alimentaire sans FS diminue lorsque le même produit est aussi marqué avec un FS. Dans le cas des produits financiers, un FS renforce considérablement l'impact de toutes les caractéristiques sur la probabilité de choix des produits.

Suggested Citation

  • Larissa Drescher & Jutta Roosen & Stephan Marette, 2014. "The effects of traffic light labels and involvement on consumer choices for food and financial products," Post-Print hal-01173022, HAL.
    • Handle: RePEc:hal:journl:hal-01173022
    DOI: 10.1111/ijcs.12086
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    Citations

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    Cited by:

    1. Marano-Marcolini, Carla & Torres-Ruiz, Francisco J., 2017. "A consumer-oriented model for analysing the suitability of food classification systems," Food Policy, Elsevier, vol. 69(C), pages 176-189.
    2. Peschel, Anne O. & Grebitus, Carola & Colson, Gregory & Hu, Wuyang, 2016. "Explaining the use of attribute cut-off values in decision making by means of involvement," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 58-66.
    3. S. Marette & L. Nabec & F. Durieux, 2019. "Improving Nutritional Quality of Consumers’ Food Purchases With Traffic-Lights Labels: An Experimental Analysis," Journal of Consumer Policy, Springer, vol. 42(3), pages 377-395, September.
    4. Christopher Hickey & Derek T. Tharp, 2021. "U.S. health insurance marketplace taxonomy and the influence of labeling on consumer perception of plan suitability," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(1), pages 203-231, March.
    5. Mohammed H. Alemu & Søren Bøye Olsen & Suzanne E. Vedel & John Kinyuru & Kennedy O. Pambo, 2016. "Integrating sensory evaluations in incentivized discrete choice experiments to assess consumer demand for cricket flour buns in Kenya," IFRO Working Paper 2016/02, University of Copenhagen, Department of Food and Resource Economics.
    6. Andreas Oehler & Stefan Wendt, 2017. "Good Consumer Information: the Information Paradigm at its (Dead) End?," Journal of Consumer Policy, Springer, vol. 40(2), pages 179-191, June.
    7. Jeanette Carlsson Hauff, 2022. "The impact of knowledge on labeling schemes promoting sustainable investing," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 2839-2853, November.
    8. Sean Pascoe & Renae Tobin & Jill Windle & Toni Cannard & Nadine Marshall & Zobaidul Kabir & Nicole Flint, 2016. "Developing a Social, Cultural and Economic Report Card for a Regional Industrial Harbour," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-19, February.
    9. Alexander J. Stein & Marcelo Lima, 2022. "Sustainable food labelling: considerations for policy-makers," Review of Agricultural, Food and Environmental Studies, Springer, vol. 103(2), pages 143-160, June.

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