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Consumer Assessment of Sustainability Traits in Meat Production. A Choice Experiment Study in Spain

doi: 10.3390/su12104093
handle: 10662/12487
Consumers are increasingly concerned about the way their food is produced. This is particularly relevant in the case of meat, due to the impacts that its production methods can have on greenhouse gas emissions and its role in climate change. In relation to this issue, the purpose of our research is to obtain more information on the consumer decision-making process for beef, in order to determine the relative importance of sustainability claims and traditional attributes, and identify consumer profiles with similar perceptions and intentions. A choice experiment was used to assess the influence of these attributes on consumers’ purchasing decisions. The results reveal that the best purchase choice for the consumer would be organic beef, produced in Spain, with an animal welfare label and eco-labelled. Later on, a cluster analysis was carried out using consumer beliefs and attitudes towards meat consumption as inputs, together with purchasing behaviour variables. A solution was obtained with three well-defined consumer segments showing different preference patterns: Cluster 1 (Male millennials indifferent towards environment or sustainability), Cluster 2 (Sustainability-concerned mature women) and Cluster 3 (Middle-aged meat eaters with established families). The results of this study are relevant to develop more appropriate strategies that may be adapted to the behaviour and expectations of eco-friendly food consumers.
- University of Extremadura Spain
- Zagazig University Egypt
- University of Extremadura Spain
- Zagazig University Egypt
Marketing sostenible, Choice experiment (CE), Carne de vacuno, TJ807-830, Preferencias del consumidor, TD194-195, Espacio o Entorno, eco-friendly products, sustainable marketing, Renewable energy sources, Disposición a pagar, Eco-friendly products, Sustainable marketing, País de origen (COO), country of origin (COO), consumer preferences, GE1-350, Willingness to pay, Consumer preferences, Environmental effects of industries and plants, 2599 Otras Especialidades de la Tierra, Emisiones de gases de efecto invernadero (GEI), greenhouse gas emissions (GHG), Greenhouse gas emissions (GHG), choice experiment (CE), beef, Environmental sciences, Experimento de elección (EC), Country of origin (COO), Productos ecológicos, Beef, willingness to pay, 2599 Otras Especialidades de la Tierra, Espacio o Entorno, 3199 Otras Especialidades Agrarias
Marketing sostenible, Choice experiment (CE), Carne de vacuno, TJ807-830, Preferencias del consumidor, TD194-195, Espacio o Entorno, eco-friendly products, sustainable marketing, Renewable energy sources, Disposición a pagar, Eco-friendly products, Sustainable marketing, País de origen (COO), country of origin (COO), consumer preferences, GE1-350, Willingness to pay, Consumer preferences, Environmental effects of industries and plants, 2599 Otras Especialidades de la Tierra, Emisiones de gases de efecto invernadero (GEI), greenhouse gas emissions (GHG), Greenhouse gas emissions (GHG), choice experiment (CE), beef, Environmental sciences, Experimento de elección (EC), Country of origin (COO), Productos ecológicos, Beef, willingness to pay, 2599 Otras Especialidades de la Tierra, Espacio o Entorno, 3199 Otras Especialidades Agrarias
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).29 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
