Biased Voluntary Nutri-Score Labeling

Wendelin Schnedler and Vigano Antonia
Additional contact information
Vigano Antonia: Department of Management, 163432 Paderborn University , Warburger Straße 100, D-33098 Paderborn, Germany

The B.E. Journal of Economic Analysis & Policy, 2024, vol. 24, issue 3, 1007-1015

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.

Keywords: food labels; marketing; consumer protection (search for similar items in EconPapers)
JEL-codes: D18 I18 M38 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/bejeap-2024-0032 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
Working Paper: Biased Voluntary Nutri-Score Labeling (2024)
Working Paper: Biased Voluntary Nutri-Score Labeling (2024)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:bejeap:v:24:y:2024:i:3:p:1007-1015:n:1014

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/bejeap/html

DOI: 10.1515/bejeap-2024-0032

Access Statistics for this article

The B.E. Journal of Economic Analysis & Policy is currently edited by Hendrik Jürges and Sandra Ludwig

More articles in The B.E. Journal of Economic Analysis & Policy from De Gruyter
Bibliographic data for series maintained by Peter Golla ().