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Exploring Consumer Behavior and Preferences in Welfare-Friendly Pork Breeding: A Multivariate Analysis

This study investigates consumer behavior and interest in “welfare-friendly” forms of pork production, considering the growing presence of animal welfare-focused breeding practices. The aim is to outline the typical profile of pork consumers and identify the key attributes influencing their purchasi...

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Detalles Bibliográficos
Autores principales: Pugliese, Michela, Previti, Annalisa, De Pascale, Angelina, Alibrandi, Angela, Zirilli, Agata, Biondi, Vito, Passantino, Annamaria, Monti, Salvatore, Giannetto, Carlo, Lanfranchi, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453549/
https://www.ncbi.nlm.nih.gov/pubmed/37628013
http://dx.doi.org/10.3390/foods12163014
Descripción
Sumario:This study investigates consumer behavior and interest in “welfare-friendly” forms of pork production, considering the growing presence of animal welfare-focused breeding practices. The aim is to outline the typical profile of pork consumers and identify the key attributes influencing their purchasing decisions. A survey was conducted on a sample of 286 individuals after excluding those who only consumed beef and/or poultry or identified as vegetarians/vegans. Regression coefficients (b), 95% Confidence Intervals (95% C.I.), and p-values were reported for univariate and multivariate models. Statistical significance was determined at p < 0.05 (indicated in bold). The findings indicate that younger participants show greater sensitivity towards consuming meat raised using welfare-friendly methods, raising considerations about the age composition of the sample. The research’s originality lies in evaluating consumer interest in pork raised with animal welfare-respecting techniques. The use of appropriate statistical tools, such as multivariate and multilayer models, allows effective solutions for multidimensional hypothesis testing problems in non-parametric permutation inference.