TY - JOUR
T1 - Country of origin or EU/non-EU labelling of beef? Comparing structural reliability and validity of discrete choice experiments for measurement of consumer preferences for origin and extrinsic quality cues
AU - Carl-Johan, Lagerkvist
AU - Thomas, Berthelsen
AU - Sundström, Kristian
AU - Johansson, Helena
PY - 2014
Y1 - 2014
N2 - The use of food labels and packaging information on place of origin and credence quality has increased, but it is still unclear how such information relates to consumer decisions and choices concerning the relative valuation of attributes. Valid measurement methods are needed to assess the importance attributed by the public to such information, but also to inform the industry about market demand. Discrete choice experiments (CEs) are frequently used to assess consumer preferences for food attributes. However, suitable methods are needed to reveal the probabilistic nature of preference data, so that heterogeneity can be explicitly accounted for. An R-index measure was modelled to account for choice probabilities in this study. Two surveys of Swedish residents, without (n=506) and with (n=278) a price vector, compared attribute importance for origin and extrinsic quality labelling of beef in CEs. Problems of structural reliability owing to unstable associations in attribute importance between formats were supported, but on levels rather than orderings. The R-index analysis of CE data revealed violations of attribute transitivity and dominance. Extending CE analysis to include choice probabilities may be useful for consumer profiling and for optimisation of product information. Labels with specific country-of-origin information instead of a wider EU/non-EU designation were the most determining attribute in this study.
AB - The use of food labels and packaging information on place of origin and credence quality has increased, but it is still unclear how such information relates to consumer decisions and choices concerning the relative valuation of attributes. Valid measurement methods are needed to assess the importance attributed by the public to such information, but also to inform the industry about market demand. Discrete choice experiments (CEs) are frequently used to assess consumer preferences for food attributes. However, suitable methods are needed to reveal the probabilistic nature of preference data, so that heterogeneity can be explicitly accounted for. An R-index measure was modelled to account for choice probabilities in this study. Two surveys of Swedish residents, without (n=506) and with (n=278) a price vector, compared attribute importance for origin and extrinsic quality labelling of beef in CEs. Problems of structural reliability owing to unstable associations in attribute importance between formats were supported, but on levels rather than orderings. The R-index analysis of CE data revealed violations of attribute transitivity and dominance. Extending CE analysis to include choice probabilities may be useful for consumer profiling and for optimisation of product information. Labels with specific country-of-origin information instead of a wider EU/non-EU designation were the most determining attribute in this study.
KW - Beef
KW - Food quality
KW - Food labelling
KW - Choice experiments
KW - Hierarchical Bayesian estimation
KW - R-index
U2 - 10.1016/j.foodqual.2013.12.009
DO - 10.1016/j.foodqual.2013.12.009
M3 - Article
SN - 0950-3293
VL - 34
SP - 50
EP - 61
JO - Food Quality and Preference
JF - Food Quality and Preference
ER -