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Label or taxes: Why not both? Testing nutritional mixed policies in the lab

Author

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  • Paolo Crosetto

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Laurent Muller

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Bernard Ruffieux

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

Abstract

We run an incentivized framed laboratory experiment to evaluate the interaction of labelling (Nutri-Score) and pricing policies (fat taxes and thin subsidies) on the food shopping of a sample of French consumers. Taxes and subsidies, designed to fit Nutri-Score, are differentiated according to their magnitude (large or small), and their salience (explicit or implicit). We exploit a difference-in-difference design, whereby subjects shop for real from a catalog of 290 products twice, first without any labelling nor pricing policy, and then a second time with one of five different combinations of labelling and pricing policies. Results show that: (i) when implemented alone, taxes and subsidies are less effective than labelling, especially when implicit and when small in magnitude; (ii) policies mixing pricing and labelling are strongly sub-additive; (iii) consumers would benefit from such policies in terms of expenditure at the expense of the State.

Suggested Citation

  • Paolo Crosetto & Laurent Muller & Bernard Ruffieux, 2025. "Label or taxes: Why not both? Testing nutritional mixed policies in the lab," Post-Print hal-04880070, HAL.
  • Handle: RePEc:hal:journl:hal-04880070
    DOI: 10.1016/j.jebo.2024.106825
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-04880070v1
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    References listed on IDEAS

    as
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    10. Laurent Muller & Anne Lacroix & Jayson L. Lusk & Bernard Ruffieux, 2017. "Distributional Impacts of Fat Taxes and Thin Subsidies," Economic Journal, Royal Economic Society, vol. 127(604), pages 2066-2092, September.
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    13. Laurent Muller & Anne Lacroix & Jayson L. Lusk & Bernard Ruffieux, 2017. "Distributional Impacts of Fat Taxes and Thin Subsidies," Economic Journal, Royal Economic Society, vol. 127(604), pages 2066-2092, September.
    14. Pierre Dubois & Paulo Albuquerque & Olivier Allais & Céline Bonnet & Patrice Bertail & Pierre Combris & Saadi Lahlou & Natalie Rigal & Bernard Ruffieux & Pierre Chandon, 2020. "Effects of front-of-pack labels on the nutritional quality of supermarket food purchases: evidence from a large-scale randomized controlled trial," Post-Print hal-02562116, HAL.
    15. Paolo Crosetto & Anne Lacroix & Laurent Muller & Bernard Ruffieux, 2020. "Nutritional and economic impact of five alternative front-of-pack nutritional labels: experimental evidence [Prospective association between a dietary quality index based on a nutrient profiling system and cardiovascular disease risk]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 785-818.
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    Cited by:

    1. Ambec, Stefan & Andersson, Henrik & Cezera, Stéphane & Kanay, Ayşegül & Ouvrard, Benjamin & Panzone, Luca A. & Simon, Sebastian, 2025. "Taxing and nudging to reduce carbon emissions," TSE Working Papers 25-1690, Toulouse School of Economics (TSE), revised Jan 2026.
    2. Alejandro Hirmas & Jan B. Engelmann, 2024. "Learning the value of Eco-Labels: The role of information in sustainable decisions," Tinbergen Institute Discussion Papers 24-024/I, Tinbergen Institute.

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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