Issue |
BIO Web Conf.
Volume 12, 2019
41st World Congress of Vine and Wine
|
|
---|---|---|
Article Number | 03019 | |
Number of page(s) | 7 | |
Section | Economy and Law | |
DOI | https://doi.org/10.1051/bioconf/20191203019 | |
Published online | 19 February 2019 |
Italian viticulture: A multi-faceted model of development and regression
1 Università degli Studi di Verona, Department of Biotechnology, Villa Lebrecht, Via della Pieve 70, 37029 San Floriano (VR), Italy
2 Accademico della Vite e del Vino, via Gentile da Fabriano 25, 61032 Fano (Province of Pesaro Urbino), Italy
3 Vivaio Enotria, Via Campagnole 2, 31050 Cavasagra di Vedelago (Province of Treviso), Italy
4 Web editor for “De Vulpe et Uva”, Italy
5 Grapegrower and winemaking free-lance expert, Via Pontarchi 1/a 48018 Faenza (Province of Ravenna), Italy
a e-mail: maurizio.boselli@univr.it
b www.devulpeetuva.com
Wine can be considered a niche product on the drinks market, due to the annual turnover it generates and the dispersion of the productive matrix which controls its production. However, it takes on a symbolic value compared to other drinks and boasts a unique link with the territory. Typicity translated into territorial values has brought about the success of winemaking regions of great national and international fame. However, it is necessary to communicate the values and adopt the consequent measures for other areas in a secondary position or with an intermediate development. The value of wine ex-cellar, unbottled and before vat has been analyzed taking into account production in different market segments, a basic element for estimating the value of the GSP per hectare of vineyard. This paper is based on the study of physical, economic and motivational parameters that determine the primary value, the cause for consolidating or abandoning winegrowing. Decisions made by the vinegrower translate into nursery demand which, in turn, determines the varieties and surface areas of the future vineyard.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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