Socio-economic analysis of the EU citizens’ attitudes toward farmed animal welfare from the 2023 Eurobarometer polling survey

As the Eb data came from a stratified multi-stage, random (probability) sample design, the seven clusters sorted through our statistical approach reflected the opinions of the EU population in 2023. These clusters could be further merged into three macro-clusters with two main opposite levels of concern (>80% positive answers) about FAW: concerned about at least 10 questions (74% of the sample); concerned about no more than three questions (6% of the sample); and a third macro-cluster in between concerned about five to seven questions, especially on specific farming practices (20% of the sample). An analysis of the socioeconomic characteristics of the respondents within clusters (gender, age, education, occupation scale, geographical origin, and regular contact with animals) showed that the main discriminating features were gender, level of education, and regular contact with animals; women and well-educated people in regular contact with companion animals were more concerned about FAW overall. The analysis also highlighted divergent responses regarding shopping habits and information searches among the clusters.

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Publication Details

Journal
Frontiers in Veterinary Science
Published
2025-03-14
DOI
https://doi.org/10.3389/fvets.2025.1505668
Citations
3
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
7.06
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article

Socio-economic analysis of the EU citizens’ attitudes toward farmed animal welfare from the 2023 Eurobarometer polling survey

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3 citations
Frontiers in Veterinary Science
Animal Behavior and Welfare Studies
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article

Socio-economic analysis of the EU citizens’ attitudes toward farmed animal welfare from the 2023 Eurobarometer polling survey

Arzu Peker, Barbara Contiero, Giulio Cozzi, Flaviana Gottardo, Severino Segato, Giorgia Riuzzi
article en
3 citations

Abstract

As the Eb data came from a stratified multi-stage, random (probability) sample design, the seven clusters sorted through our statistical approach reflected the opinions of the EU population in 2023. These clusters could be further merged into three macro-clusters with two main opposite levels of concern (>80% positive answers) about FAW: concerned about at least 10 questions (74% of the sample); concerned about no more than three questions (6% of the sample); and a third macro-cluster in between concerned about five to seven questions, especially on specific farming practices (20% of the sample). An analysis of the socioeconomic characteristics of the respondents within clusters (gender, age, education, occupation scale, geographical origin, and regular contact with animals) showed that the main discriminating features were gender, level of education, and regular contact with animals; women and well-educated people in regular contact with companion animals were more concerned about FAW overall. The analysis also highlighted divergent responses regarding shopping habits and information searches among the clusters.

Frontiers in Veterinary ScienceVol. 12
University of Padua (IT), Ankara University (TR)
Openalex Percentile: Top 4%
Animal Behavior and Welfare Studies
7.06
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