Consumers’ Preferences for Health Related and Environmental Friendly Food Attributes of Italian Pasta

Edi Defrancesco, Maria Angela Perito, Irene Bozzolan, Leonardo Cei and Gianluca Stefani

No 258164, 2017 International European Forum, February 13-17, 2017, Innsbruck-Igls, Austria from International European Forum on System Dynamics and Innovation in Food Networks

Abstract: This paper explores Italian consumers’ appreciation for health-related and environmentally friendly attributes of whole-wheat pasta. A modified version of the attribute-based referenda (ABR) model has been estimated on a sequence of two dichotomous choice questions randomly administered to a sample of households, starting as a single-attribute version (“adding” treatment) or a complete product version (“subtracting” treatment). The results suggest that taste and habits are considerable barriers, since only whole-wheat pasta consumers are willing to pay for health-related attributes. Overall, people are unwilling to pay for the environmental attribute even when informed of a product’s environmentally friendly method of production. However, the way in which the choice is framed is important, with higher values attached to attributes evaluated in the subtracting context, supporting prospect theory and the endowment effect

Keywords: Agribusiness; Consumer/Household Economics (search for similar items in EconPapers)
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/258164/files/25-Stefani-ItalianPasta.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:ief017:258164

DOI: 10.22004/ag.econ.258164

Access Statistics for this paper

More papers in 2017 International European Forum, February 13-17, 2017, Innsbruck-Igls, Austria from International European Forum on System Dynamics and Innovation in Food Networks
Bibliographic data for series maintained by AgEcon Search ().