Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
SOUZA, G. da S. e
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
DATA DE PUBLICAÇÃO
In a research institution it is important to identify which management practices have influence on production efficiency. In this paper we assess the statistical significance of contextual variables type, size, financial resources acquisition, intensity of partnerships, processes improvements and management change. The analysis is carried out for the Brazilian Agricultural Research Corporation over the period 1999?2006. The statistical analysis uses a balanced dynamic panel data model. We conclude that only financial resources acquisition is statistically significant. The association with the production process is positive. We also found the two lag inertial components of the conditional FDH to unconditional FDH ratio statistically significant, indicating a 2-year effort to improve efficiency.
ACESSO AO ARTIGOhttp://www.alice.cnptia.embrapa.br/handle/doc/853966
- Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural research evaluation in Brazil.
- A probabilistic approach for assessing the significance of contextual variables in nonparametric frontier models: an application to brazilian banks.
- Influence of contextual variables: an application to agricultural research evaluation in Brazil.
- Computing confidence intervals for output oriented DEA models: an application to agricultural research in Brazil.
- Evaluating the impact of contextual variables on the agricultural research efficiency.