Productive efficiency of wine grape producers in the North of Portugal
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Economía Cuantitativa | |
| dc.contributor.author | Santos, Micael | |
| dc.contributor.author | Rodríguez González, Xosé Antón | |
| dc.contributor.author | Marta-Costa, Ana | |
| dc.date.accessioned | 2025-03-28T12:57:15Z | |
| dc.date.available | 2025-03-28T12:57:15Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Portugal is a country traditionally dedicated to viticulture and character-ized by the production of wines of high quality. It has been among the top of 15 coun-tries 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 produc-tion management to the existing structural characteristics. | |
| dc.description.peerreviewed | SI | |
| dc.description.sponsorship | This work was supported by the R&D Project INNOVINE & WINE – Vineyard and Wine Innovation Platform - Operation NORTE -01-0145-FEDER-000038, co-funded by the European and Structural Investment Funds (FEDER) and by Norte 2020 (Programa Operacional Regional do Norte 2014/2020). | |
| dc.identifier.citation | Micael Santos, Xosé Antón Rodríguez, Ana Marta-Costa (2021) Pro-ductive efficiency of wine grape pro-ducers in the North of Portugal. Wine Economics and Policy 10(2): 3-14. doi: 10.36253/wep-8977 | |
| dc.identifier.doi | 10.36253/WEP-8977 | |
| dc.identifier.essn | 2212-9774 | |
| dc.identifier.issn | 2213-3968 | |
| dc.identifier.uri | https://hdl.handle.net/10347/40607 | |
| dc.issue.number | 2 | |
| dc.journal.title | Wine Economics and Policy | |
| dc.language.iso | eng | |
| dc.page.final | 14 | |
| dc.page.initial | 3 | |
| dc.publisher | Firenze University Press | |
| dc.relation.publisherversion | https://doi.org/10.36253/WEP-8977 | |
| dc.rights | © 2021 Micael Santos, Xosé Antón Rodríguez, Ana Marta-Costa. This is an open access, peer-reviewed article published by Firenze University Press (http://www.fupress.com/wep) and distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distri-bution, and reproduction in any medi-um, provided the original author and source are credited | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Technical efficiency | |
| dc.subject | Productivity | |
| dc.subject | Grape production | |
| dc.subject | Stochastic frontier analysis | |
| dc.title | Productive efficiency of wine grape producers in the North of Portugal | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dc.volume.number | 10 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 897636ec-b0a9-47a2-a842-ca7358ebe942 | |
| relation.isAuthorOfPublication.latestForDiscovery | 897636ec-b0a9-47a2-a842-ca7358ebe942 |
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