摘要：To determine the key variables of the vineyard efficiency is imperative to account the combined
effects of the inputs interactions since they have implications on the overall final production. This paper
estimates the productive efficiency of a wine-farm sample from the Douro Demarcated Region (DDR) while
identifies economic, social and environmental indicators that characterizes the DDR grape production system.
The data was collected by face-to-face surveys performed at farm level to build a pilot study. The majority of
the sampled twenty farms are dedicated to mountain viticulture and mainly feature the cordon (simple and
double) training system. Through the Data Envelopment Analysis (DEA) method, the productive efficiency of
the sampled was performed and the results clinched different efficiency scores. The main explanation is related
to the heterogeneity of the adopted production system. In addition, they revealed how grape producers could
improve their productive efficiency by adopting particular practices and identifying the key factors of their
system.
其他摘要：To determine the key variables of the vineyard efficiency is imperative to account the combined effects of the inputs interactions since they have implications on the overall final production. This paper estimates the productive efficiency of a wine-farm sample from the Douro Demarcated Region (DDR) while identifies economic, social and environmental indicators that characterizes the DDR grape production system. The data was collected by face-to-face surveys performed at farm level to build a pilot study. The majority of the sampled twenty farms are dedicated to mountain viticulture and mainly feature the cordon (simple and double) training system. Through the Data Envelopment Analysis (DEA) method, the productive efficiency of the sampled was performed and the results clinched different efficiency scores. The main explanation is related to the heterogeneity of the adopted production system. In addition, they revealed how grape producers could improve their productive efficiency by adopting particular practices and identifying the key factors of their system.
