A software framework for measuring efficiency.

• Author(s): Noncheva, Veska ; Mendes, Armando B. ; Silva, Emiliana
• Date: 2009
• Persistent ID: http://hdl.handle.net/10400.3/2173
• Origin: Repositório da Universidade dos Açores
• Subject(s): Non-parametric Data Analysis; Data Envelopment Analysis; Azores
• Document Type: Conference Object
• Language: English

Description

Trabalho apresentado em UseR Conference, Rennes, França, Julho 8 a 10 de 2009. "[...]. PAR is a software framework using a variety of models estimating efficiency and providing results explanation functionality. [...]. We are applying PAR framework to estimate the efficiency of the agricultural system in Azores [Mendes et al., 2009]. All Azorean farms will be clustered into homogeneous groups according to their efficiency measurements to define clusters of "good" practices and cluster of "less good" practices. This makes PAR appropriate to support public policies in agriculture sector in Azores. [...]"