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Drinking wine at home: Hedonic analysis of sicilian wines using quantile regression

机译:在家喝葡萄酒:使用分位数回归对西西里葡萄酒进行享乐主义分析

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摘要

Abstract: In recent decades, the Sicilian wine industry has experienced a booming expansion because of the growing preferences of Italian consumers for Sicilian wines, especially in extra-regional markets. These consumers have been paying closer attention to Sicilian premium wines. \udFor this reason, the objective of this study is to inform professional investors and wine managers about the consumer preferences with respect to the most important segment categories of domestically consumed Sicilian wines. Using the quantile regression technique, we analyzed the \udrole of wine attributes and prices as an information tool in order to value for each wine segment the implicit price of the attributes affecting wine consumers’ choices. The results indicate that Protected Designation of Origin (PDO) and Geographical Indication (PGI) certification is the main determinant in the wine price mechanisms and certified wines achieve premium prices that are progressively higher as the price level of the wine increases. Furthermore the effect of the brand on price formation seems to have a significant impact for low-end wines, whereas it has no specific impact on the price mechanism for high-end wines. \udKeywords: Consumer Scan Dataset, Geographic Origin, Hedonic Price, Robust Regression, Wine Consumption
机译:摘要:由于意大利消费者越来越喜欢西西里葡萄酒,尤其是在区域外市场,意大利消费者对西西里葡萄酒的需求日益增长,近几十年来,西西里的葡萄酒业迅速发展。这些消费者一直在密切关注西西里优质葡萄酒。出于这个原因,本研究的目的是向专业投资者和葡萄酒经理介绍有关国内消费的西西里葡萄酒最重要的细分类别的消费者偏好。使用分位数回归技术,我们分析了葡萄酒属性和价格的\ udrole作为信息工具,以便为每个葡萄酒细分市场评估影响葡萄酒消费者选择的属性的隐性价格。结果表明,受保护的原产地标记(PDO)和地理标志(PGI)认证是葡萄酒价格机制的主要决定因素,并且随着葡萄酒价格的上涨,认证葡萄酒的溢价价格也逐渐提高。此外,品牌对价格形成的影响似乎对低端葡萄酒具有重大影响,而对高端葡萄酒的价格机制则没有特定影响。 \ ud关键字:消费者扫描数据集,地理位置,享乐价格,稳健回归,葡萄酒消费

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