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Consumer preferences and willingness to pay for eco-labelled eggs

A discrete choice experiment from Chongqing in China

Bibliographic Data

ID21296216
AuthorsChenyu Liu (0009-0004-5314-1322, Shaanxi Normal University), Xuan Liu (0000-0001-5599-2607, Shaanxi Normal University), Liuyang Yao (0000-0003-4526-3333, Northwest A&F University), Jie Liu (0000-0001-7976-502X, Shaanxi Normal University)
Year2023
Volume125
Issue5
Pages1683-1697
Publication date2023-04-11
Open AccessYes
TypeARTICLE
VenueBritish Food Journal (JOURNAL)
Journal identifiersISSN: 0007-070X • E-ISSN: 1758-4108
PublisherEmerald (PUBLISHER)
DOI10.1108/bfj-12-2021-1305
OpenAlexW4292064766
LanguageEN
Citations received4
References cited29

Purpose The purpose of this paper is to investigate consumer preference of and willingness to pay for eco-labelled eggs using cross-sectional data collected from Chongqing Municipality in China. Design/methodology/approach This study employs both conditional logistic model and mixed logistic model to conduct the empirical analysis. Findings The empirical results show that individual heterogeneous preference and attributes of eco-labelled eggs significantly influence consumer choices. More specifically, higher per capita income, families with pregnant women or children, higher level of trust in and knowledge of eco-labels contribute positively to choosing eco-labelled eggs, and attributes of eco-labelled eggs such as certification labels, free-range husbandry, and nutrition enrichment significantly increase consumer utility. Generally, the price premium that consumers are willing to pay for eggs containing “organic”, “free-range husbandry”, and “nutrition enrichment” labels is 375.0% more, equivalent to 42.8 Yuan/kg. Originality/value This study used first-hand survey data to reveal consumers’ heterogeneous preference of and willingness to pay for eco-labelled eggs based on the random utility theory

Agricultural economics · Agricultural science · Agriculture · Animal husbandry · Biology · Business · China · Discrete choice · Econometrics · Economics · Empirical research · Geography · Logistic regression · Microeconomics · Preference · Statistics · Value (mathematics) · Willingness to pay · Ecology · Economic and Environmental Valuation · Environmental Education and Sustainability · Environmental Sustainability in Business · Marketing · Mathematics

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Citations per year2
Citation span2024 - 2026 (3)
Highly citedNo

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