The effect of attribute framing on consumers’ attitudes and intentions toward food: A Meta-analysis

Irina Dolgopolova, Bingqing Li, Helena Pirhonen and Jutta Roosen

Bio-based and Applied Economics Journal, 2021, vol. 10, issue 4

Abstract: This paper analyzes the existing literature on the effect of attribute framing on consumers’ attitudes and intentions with regard to food products. Attribute fram-ing includes a broader interpretation of gains and losses when a product attribute is presented in a dichotomous way, such as fat vs. lean or harm vs. benefit. Meta-analy-sis results for the whole sample indicate that product attributes framed as gains have a higher effect on attitudes and intentions than product attributes framed as losses. Grouping studies by outcome variables, the meta-analysis demonstrates a larger effect size for studies that assess consumer attitude while for studies dealing with consumer intention, the effect size is close to zero and insignificant. We observe from the meta-regression results that the gain frame, the use of interaction terms, a specific product, and a student sample significantly influence consumers’ attitudes and intentions.

Keywords: Consumer/Household Economics; Institutional and Behavioral Economics (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/320229/files/Dolgopolova_et_al_BAE_2021.pdf (application/pdf)

Related works:
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:ags:aieabj:320229

DOI: 10.22004/ag.econ.320229

Access Statistics for this article

More articles in Bio-based and Applied Economics Journal from Italian Association of Agricultural and Applied Economics (AIEAA) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().