Determinants of white and fatty fish consumption by Croatian and Italian consumers

Abstract

PurposeThis study aims to investigate the influence of sociodemographic characteristics, perceived risks, health and nutritional motives and taste preference on at-home fish consumption.Design/methodology/approachData were collected from a nationally representative sample of people responsible for food purchasing in households, using the CAWI (computer-aided web interviewing) method. The eligible study sample comprised 977 participants in Croatia and 967 in Italy, who reported fishery products consumption in the previous 12 months. A questionnaire was used to examine sociodemographic characteristics, fish consumption frequency and factors affecting fish consumption. Determinants of white and fatty fish consumption were estimated with ordered probit models, along with marginal effects for each factor in the models.FindingsCommon positive determinants of white and fatty fish consumption in Croatia and Italy were health and nutritional motives (p < 0.001, p = 0.001, p < 0.001, p = 0.010), taste preference (p < 0.001, p < 0.001, p = 0.001, p = 0.001) and maritime nature of the living region. The common negative determinant of white and fatty fish consumption in Croatia and Italy was financial risk (p < 0.001, p < 0.001, p < 0.001, p = 0.005). The country-specific positive determinant in Croatia was the number of household members (p < 0.001), while negative determinants for white and fatty fish were functional risk (p = 0.004, p = 0.013), number of children (p = 0.030, p = 0.001) and female gender (for fatty fish) (p = 0.028). In Italy, older age negatively affected (p < 0.001) fish consumption, while number of children (p = 0.009) and household income positively affected white fish consumption.Originality/valueAn adequate probabilistic model of national representative samples ensures credibility of results. Policy and marketing activities are proposed that can encourage higher fish consumption.

Gen Zs’ Willingness to Adopt Plant-Based Diets: Empirical Evidence from Greece, India and UK

“…Since students' level of willingness as a dependent variable has possible responses in discrete and ordinal nature, the empirical analysis adopted an ordered probit model to explore individuals' responsiveness to plant-based eating patterns. The conceptual basis of this approach is rooted in the field of the random utility maximization [60] and has been elaborated in the literature to model ordinal survey responses [61][62][63][64][65]. Therefore, by leveraging the random utility modelling approach, it is assumed that for the individual, the latent dependent variable * (individual's endorsement of green-eating) incorporates two elements: first, a linear combination of a vector of independent variables xi and the parameter vector β that have to be estimated reflecting the relationship between * and the variables in xi; and second, an unobserved random variable εi, assumed to be independent and identically distributed with a standard normal distribution that is ~Ν(0,1) reflecting unobserved factors of the alternatives for the individual i (i=1,2,3…N) [66,67]:…”

Sustainable aquaculture from students’ perspectives

“…To date, several researchers have studied fish consumption behaviour in Croatia. Their primary focus has been on investigating the factors that influence the consumption of various types of fish-ranging from fresh fish to both white and fatty varieties, as well as a broader category of fish and seafood in general (Krešić et al, 2022a;Krešić et al, 2023;Marinac Pupavac et al, 2022;Tomić et al, 2016b). Additionally, they aimed to identify consumers' attitudes, barriers, and preferences related to fish consumption (Krešić et al, 2023;Marinac Pupavac et al, 2022;Tomić et al, 2016a).…”

“…Their primary focus has been on investigating the factors that influence the consumption of various types of fish-ranging from fresh fish to both white and fatty varieties, as well as a broader category of fish and seafood in general (Krešić et al, 2022a;Krešić et al, 2023;Marinac Pupavac et al, 2022;Tomić et al, 2016b). Additionally, they aimed to identify consumers' attitudes, barriers, and preferences related to fish consumption (Krešić et al, 2023;Marinac Pupavac et al, 2022;Tomić et al, 2016a). Somewhat less research has specifically targeted farmed fish, exploring the determinants affecting preferences for wildcaught versus farmed fish, as well as describing different consumer segments based on their intention to consume farmed fish (Krešić et al, 2022b;Tomić et al, 2017).…”