2022
DOI: 10.1002/agr.21737
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Inequality aversion and consumer ethnocentrism: Food consumer preferences for payoff distributions to farm producers

Abstract: There are few empirical explanations for consumer preferences for payoff distributions across the agri-food value chain in terms of psychographic characteristics. In the context of product origin, we contribute to the literature with an incentivized experiment to estimate preferences for payoff distributions among Missouri beef consumers, Missouri beef producers, and non-Missouri beef producers on the basis of inequality aversion and consumer ethnocentrism. According to the results, Missouri beef consumers not… Show more

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Cited by 4 publications
(2 citation statements)
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“…The estimation of consumer preferences in WTP space is increasingly common in the food consumer behavior literature (e.g. Balogh et al, 2016;Alemu and Olsen, 2020;Grashuis and Su, 2023;Kliem and Sagebiel, 2023). Correspondingly, the utility derived by individual i from product profile j in choice scenario t is…”
Section: Empirical Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The estimation of consumer preferences in WTP space is increasingly common in the food consumer behavior literature (e.g. Balogh et al, 2016;Alemu and Olsen, 2020;Grashuis and Su, 2023;Kliem and Sagebiel, 2023). Correspondingly, the utility derived by individual i from product profile j in choice scenario t is…”
Section: Empirical Modelmentioning
confidence: 99%
“…The estimation of consumer preferences in WTP space is increasingly common in the food consumer behavior literature (e.g. Balogh et al ., 2016; Alemu and Olsen, 2020; Grashuis and Su, 2023; Kliem and Sagebiel, 2023). Correspondingly, the utility derived by individual i from product profile j in choice scenario t iswhere pijt denotes the price of product profile j in choice scenario t, xijt the vector of observed attributes to individual i for product profile j in choice scenario t , and WTPi the vector of WTP for each non-price attribute in the choice experiment design.…”
Section: Empirical Modelmentioning
confidence: 99%