The increasing global demand for livestock products and its large environmental impact ask for urgent policy and managerial strategies. With regard to meat consumption, feasible actions relate to its reduction and orienting consumers toward more sustainable meat choices. The aim of the study is to investigate the determinants affecting meat consumers in their intention to buy beef whose label clearly expresses environmentally friendly characteristics. To do so, we hypothesized to apply an institutional system of ecological labeling on beef products. An extended framework based on the Theory of Planned Behavior was applied to understand the factors affecting the consumer decision-making process toward eco-labeled beef. A survey was conducted with 1139 consumers in Italy. Data were analyzed by means of confirmatory factor analysis and structural equation models. Results highlight that beef consumers are likely to change their habits, in favor of more sustainable beef choices. The analysis highlights that, together with consumer attitudes, social norms and perceived behavioral control, institutional trust and food shopping habits play an important role in activating the consumer's cognitive decision-making process toward more sustainable beef. Results add to the literature on the determinants of green food-choices and introduce new insights on the role of institutional trust in the intention to buy beef labeled with a public standard. Findings highlight that particular attention should be devoted to build trust for public institutions in order to promote sustainable food consumption behavior. Moreover, results validate previous studies on the effectiveness of information-based policies in fostering more sustainable consumption choices.

How about choosing environmentally friendly beef? Exploring purchase intentions among Italian consumers / S. Stranieri, E. Claire Ricci, A. Stiletto, S. Trestini. - In: RENEWABLE AGRICULTURE AND FOOD SYSTEMS. - ISSN 1742-1705. - 38:(2023), pp. e2.1-e2.11. [10.1017/S1742170522000357]

How about choosing environmentally friendly beef? Exploring purchase intentions among Italian consumers

S. Stranieri
Primo
;
2023

Abstract

The increasing global demand for livestock products and its large environmental impact ask for urgent policy and managerial strategies. With regard to meat consumption, feasible actions relate to its reduction and orienting consumers toward more sustainable meat choices. The aim of the study is to investigate the determinants affecting meat consumers in their intention to buy beef whose label clearly expresses environmentally friendly characteristics. To do so, we hypothesized to apply an institutional system of ecological labeling on beef products. An extended framework based on the Theory of Planned Behavior was applied to understand the factors affecting the consumer decision-making process toward eco-labeled beef. A survey was conducted with 1139 consumers in Italy. Data were analyzed by means of confirmatory factor analysis and structural equation models. Results highlight that beef consumers are likely to change their habits, in favor of more sustainable beef choices. The analysis highlights that, together with consumer attitudes, social norms and perceived behavioral control, institutional trust and food shopping habits play an important role in activating the consumer's cognitive decision-making process toward more sustainable beef. Results add to the literature on the determinants of green food-choices and introduce new insights on the role of institutional trust in the intention to buy beef labeled with a public standard. Findings highlight that particular attention should be devoted to build trust for public institutions in order to promote sustainable food consumption behavior. Moreover, results validate previous studies on the effectiveness of information-based policies in fostering more sustainable consumption choices.
climate change; consumer preferences; ecolabeling; environmentally friendly beef; food; sustainable production and consumption; trust
Settore AGR/01 - Economia ed Estimo Rurale
2023
22-dic-2022
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/954139
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