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In the last decade, cisgenic breeding emerged as a valuable alternative to transgenic genetic modification. Cisgenesis allows to obtain disease-resistant crops, thus reducing the need of chemical pesticides in the fields. This would imply a reduction of the environmental impact deriving from agricultural production. To concretely exploit the potential deriving from such biotechnology application, consumers' willingness to buy and consume such food is an essential matter. In this study we explore consumer choice behavior for cisgenic vs conventional apple alternatives through a hypothetical Choice Experiment, meanwhile examining attribute non-attendance behaviors. The Latent Class Model estimates reveal considerable differences across population segments in terms of choice behavior and preferences. In fact, while some consumers choose based on this attribute, a sizable segment of the population ignores it, suggesting that there may be room on the market for these products with potential implications in terms of environmental and food policy formulation. Unlabelled Image • Cisgenesis may contribute to reduce environmental impact of agricultural production. • Apple is used to test consumers' acceptance of cisgenic food. • Heterogeneity in preferences and Attribute Non-Attendance characterize the choice. • The production technology attribute is non-attended by a sizable part of the sample. • The technology used in the production process results to be the major driver of the choice. [ABSTRACT FROM AUTHOR]

Individual time preference has been recognized as key driver in explaining consumers' probability to have a healthy weight or to incur excess weight problems. The term time preference refers to the rate at which a person is disposed to trade a current satisfaction for a future benefit. This characteristic may affect the extent at which individuals invest in health and may influence diet choices. The purpose of this paper is to analyse which could be the role of time preference (measured in terms of diet-related behaviours) in explaining consumers' healthy or unhealthy body weight. The analysis also considers other drivers predicted to influence BMI, specifically information searching, health-related activities and socio-demographic conditions. The survey was based on face-to-face interviews on a sample of 240 consumers living in Milan. In order to test the hypothesis, we performed a set of seven ORM regressions, all having consumers' BMI as the dependent variable. Each ORM contains a different block of explanatory variables, while time preference is always included among the regressors. The results suggest that the healthy weight condition is associated with a high orientation to the future, with a high interest in nutrition claims, a low attention to health-related claims, and a high level of education. On the opposite, the probability to be overweight or obese increases when consumers are less future-concerned and is associated with a low searching for nutrition claims and to a high interest in health claims. [ABSTRACT FROM AUTHOR]