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Traffic light nutrition labeling preferences among children

Author

Listed:
  • Tania Cabrera

    (Universidad Nacional de Loja)

  • Carlos E. Carpio

    (Texas Tech University)

  • Oscar Sarasty

    (Texas Tech University)

  • Susan E. Watson

    (University of North Texas)

  • María-Susana Gonzalez

    (Universidad Nacional de Loja)

Abstract

Objective This study evaluates the effects of traffic light (TL) nutritional label attributes on children’s food choices. Data were collected from a survey of 1179 Ecuadorian students attending public middle and high school in three major cities in the country’s southern region (Machala, Loja, and Zamora). The survey instrument included two sets of choice experiments: one with yogurt products and the other with soft drinks (sodas and juices). In the choice scenarios, children were presented with two products that differed in price and the TL label colors for sugar, salt, and fat. Children’s product selections in the choice experiments were analyzed using mixed logit models. The results indicate that labels affect food choices. Additionally, children are willing to pay increasing premium levels for products with yellow, green, and “does not contain” labels compared to products with red labels. Overall, the study’s findings offer evidence that TL labels are effective in helping children make food choices consistent with their preferences for food products with TL labels representing healthier alternatives.

Suggested Citation

  • Tania Cabrera & Carlos E. Carpio & Oscar Sarasty & Susan E. Watson & María-Susana Gonzalez, 2023. "Traffic light nutrition labeling preferences among children," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-24, December.
  • Handle: RePEc:spr:agfoec:v:11:y:2023:i:1:d:10.1186_s40100-023-00280-9
    DOI: 10.1186/s40100-023-00280-9
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    References listed on IDEAS

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    2. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    3. Jing Song & Mhairi K Brown & Monique Tan & Graham A MacGregor & Jacqui Webster & Norm R C Campbell & Kathy Trieu & Cliona Ni Mhurchu & Laura K Cobb & Feng J He, 2021. "Impact of color-coded and warning nutrition labelling schemes: A systematic review and network meta-analysis," PLOS Medicine, Public Library of Science, vol. 18(10), pages 1-28, October.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    5. Hess, Stephane, 2007. "Posterior analysis of random taste coefficients in air travel behaviour modelling," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 203-212.
    6. Lorena Saavedra-Garcia & Miguel Moscoso-Porras & Francisco Diez-Canseco, 2022. "An Experimental Study Evaluating the Influence of Front-of-Package Warning Labels on Adolescent’s Purchase Intention of Processed Food Products," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    7. Dan Rigby & Mike Burton, 2006. "Modeling Disinterest and Dislike: A Bounded Bayesian Mixed Logit Model of the UK Market for GM Food," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(4), pages 485-509, April.
    Full references (including those not matched with items on IDEAS)

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