Drinking Wine at Home: Hedonic Analysis of Sicilian Wines Using Quantile Regression | Science Publications

American Journal of Applied Sciences

Eugenio Pomarici¹  Francesco Caracciolo¹  Giuseppe Di Vita¹  Mario D’Amico¹  Luigi Cembalo¹ 

关键词: Consumer Scan Dataset;    Geographic Origin;    Hedonic Price;    Robust Regression;    Wine Consumption;   

DOI  :  10.3844/ajassp.2015.679.688

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

Inrecent decades, the Sicilian wine industry has experienced a booming expansionbecause of the growing preferences of Italian consumers for Sicilian wines,especially in extra-regional markets. These consumers have been paying closerattention to Sicilian premium wines. For this reason, the objective of thisstudy is to inform professional investors and wine managers about the consumerpreferences with respect to the most important segment categories ofdomestically consumed Sicilian wines. Using the quantile regression technique, weanalyzed the role of wine attributes and prices as an information tool in orderto value for each wine segment the implicit price of the attributes affectingwine consumers’ choices. The results indicate that Protected Designation ofOrigin (PDO) and Geographical Indication (PGI) certification is the maindeterminant in the wine price mechanisms and certified wines achieve premiumprices that are progressively higher as the price level of the wine increases.Furthermore the effect of the brand on price formation seems to have asignificant impact for low-end wines, whereas it has no specific impact on theprice mechanism for high-end wines.

【 授权许可】

Unknown