Abstract

Analysing the determinants of wine prices has always been a field of interest in the wine economics literature. By estimating hedonic price functions, however, most papers generally remain at the country level with regions generally neglected or treated as simple dummy variables. The aim of this paper is to analyse the determinants of wine prices at the regional level by using Latent Variable Path Modelling with Partial Least Squares and Principal Component Analysis on the example of Hungarian wines. This approach is able to capture the regional specialties of wine production and provides a better insight into price determination. Results suggest that intrinsic values play a major but ambiguous role in determining regional wine prices, especially in the case of sugar content. It also becomes apparent that specific Geographical Indications (GIs) play a crucial role in price determination, instead of GI use per se. Moreover, individual brands also have an important role, as Tier1 and Tier2 wineries tend to sell their wines at higher prices and in smaller batch sizes.

Highlights

  • A large amount of scientific literature has been dealing with the determinants of wine prices recently [1,2,3,4]

  • Path modelling groups subregions into blocks according to the wine region they belong to and examines the paths and links between these wine regions and links between regions and wine composition, colour and varietal and individual brands in terms of regression coefficients

  • This paper aimed to analyse the regional determinants of wine prices in Hungary by using Partial Least Squares method

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Summary

Introduction

A large amount of scientific literature has been dealing with the determinants of wine prices recently [1,2,3,4]. Despite the large quantity of research into the topic, articles mainly focus on the country level and regions are often neglected or treated by simple dummy variables [5,6,7]. Wine is a highly differentiated product and this differentiation starts at the regional level [5,8,9]. It largely depends on the regional characteristics of the kind of wine produced and such diversity is missed when wine prices are analysed at the country level.

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