Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/284513 
Year of Publication: 
2021
Citation: 
[Journal:] Wine Economics and Policy [ISSN:] 2212-9774 [Volume:] 10 [Issue:] 2 [Year:] 2021 [Pages:] 3-14
Publisher: 
Firenze University Press, Florence
Abstract: 
Portugal is a country traditionally dedicated to viticulture and characterized by the production of wines of high quality. It has been among the top of 15 countries in the sector in terms of vineyard area extension and wine production, however in recent years Portugal have lost market share in these fields. This situation can be related to the level of productive efficiency of vineyards. Therefore, this study aims to analyse the productive efficiency of wine-growing farms and the determinants that make farms more efficient. The specific hypothesis to be tested is if structural factors of the wine grape farms are determinant of its productive efficiency. To achieve this purpose, we use a database collected by face-to-face surveys from a sample of 154 wine-growing farms with specific input-output information from 2017. These farms are locating in the three regions of the North of Portugal (Minho, Douro and Trás-os-Montes), which represents more than 40% of the Portuguese vineyard area. To analyse the productive efficiency of the farms, we use the Stochastic Frontier Analysis (SFA). The results show that the efficiency level in the wine-growing farms from the North of Portugal is around 68/67%, but with significant differences at regional level. Many of these discrepancies may be due to structural factors, such as the type of wine grapes and the specific characteristics of the region. In conclusion, farms must adjust production management to the existing structural characteristics.
Subjects: 
technical efficiency
productivity
grape production
stochastic frontier analysis
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size
329.58 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.