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Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural research in Brazil
Author(s) -
Da Silva e Souza Geraldo,
Gomes Eliane Gonçalves,
Staub Roberta Blass
Publication year - 2010
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/j.1475-3995.2009.00734.x
Subject(s) - nonparametric statistics , econometrics , production (economics) , probabilistic logic , agriculture , lag , corporation , panel data , statistical model , computer science , business , economics , operations management , statistics , environmental economics , mathematics , microeconomics , finance , geography , computer network , archaeology
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.