2015
DOI: 10.1186/s40100-014-0026-x
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Who likes it “sparkling”? An empirical analysis of Prosecco consumers’ profile

Abstract: The purpose of the study is to understand the profile (if any) of the typical Prosecco wine consumer, for both Controlled Denomination of Origin (CDO) and Controlled and Guaranteed Denomination of Origin (CGDO) types, with a twofold objective. First, the study aims at contributing to the economics literature dealing with opening the "black box of preferences" and understanding consumers' behavior. Second, more practically, the study aims to advise producers on the design of more targeted industrial strategies … Show more

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Cited by 18 publications
(14 citation statements)
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“…In this framework, Champagne has the greatest impact on price, but Prosecco DOCG, Prosecco DOC and the other Italian geographical indications, such as Trento, Franciacorta and Oltrepò Pavese, are also considered valued products, considerably increasing the price. As reported by Onofri et al [59], the different sensitivity to price variations is confirmed by the fact that consumers of Prosecco DOCG express a preference for the product characteristics (brand and taste). This can be explained by a greater "loyalty to the product" of the Prosecco DOCG consumers than the Prosecco DOC purchasers.…”
Section: Resultssupporting
confidence: 58%
“…In this framework, Champagne has the greatest impact on price, but Prosecco DOCG, Prosecco DOC and the other Italian geographical indications, such as Trento, Franciacorta and Oltrepò Pavese, are also considered valued products, considerably increasing the price. As reported by Onofri et al [59], the different sensitivity to price variations is confirmed by the fact that consumers of Prosecco DOCG express a preference for the product characteristics (brand and taste). This can be explained by a greater "loyalty to the product" of the Prosecco DOCG consumers than the Prosecco DOC purchasers.…”
Section: Resultssupporting
confidence: 58%
“…They figured out consumer patterns and different WTP for Prosecco appellations. Onofri, Boatto, and Dal Bianco (2015) applied a probit regression model on homescan data, testing the relationships between the probability of purchasing Prosecco as the appellation and consumer features. Contini, Romano, Scozzafava, Boncinelli, and Casini (2015) employed an LC regression model to homescan data, evaluating mass trade retail strategies on consumer's preferences.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Analytically, the statistical model used for the analysis is a binary response model. This class of models is widely used in social sciences and in agricultural and food economics in particular for analyzing consumers choice behavior (Train, 2009;Verneau et al, 2014;Onofri et al, 2015). In this particular model the probability of an event (e.g., consumption of Sicilian wine) is a linear function of the explanatory variables.…”
Section: Methodsmentioning
confidence: 99%
“…The selection of the explanatory variables follows previous studies of consumers preferences for food products and for wine specifically (Verneau et al, 2014;Cembalo et al, 2014;Caracciolo et al, 2015;Onofri et al, 2015).…”
Section: Methodsmentioning
confidence: 99%
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