[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/zbw/esprep/299877.html
   My bibliography  Save this paper

Biased Voluntary Nutri-Score Labeling

Author

Listed:
  • Schnedler, Wendelin
  • Vigano, Antonia
Abstract
Food labels are supposed to quickly inform consumers about the nutritional values of products. We provide evidence that in a system where labels are voluntary, they are systematically distorted. The probability of finding a label on a product of the category with the highest nutritional value is 51 percentage points larger than in the lowest category.

Suggested Citation

  • Schnedler, Wendelin & Vigano, Antonia, 2024. "Biased Voluntary Nutri-Score Labeling," EconStor Preprints 299877, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:299877
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/299877/1/Biased-voluntary-nutri-score-labeling.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robertson, Deirdre & Andersson, Ylva & Lunn, Pete, 2022. "Assessing the impact of Nutri-Score labelling and product availability on consumer choice," Papers WP736, Economic and Social Research Institute (ESRI).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Keywords

      food labels; marketing; consumer protection;
      All these keywords.

      JEL classification:

      • M38 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Government Policy and Regulation
      • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
      • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

      NEP fields

      This paper has been announced in the following NEP Reports:

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:esprep:299877. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.