Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach.

• Autor(a) principal: SOUZA, G. da S. e
• Data de Publicação: 2015
• Outros Autores: GOMES, E. G.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035751; http://dx.doi.org/10.1016/j.ejor.2014.07.027
• topic: Data envelopment analysis; Contextual variables; Panel data; Fractional regression; GMM; Pesquisa agrícola

In this paper, we measure the performance for each of the Brazilian Agricultural Research Corporation research center by means of a Data Envelopment Analysis model. Performance data are available for a panel covering the period 2002-2009. The approach is instrumentalist, inte sense of Ramalho, Ramalho, and Henriques (2010). We investigate the effects onf performance of contextual variable indicator related to the intensity of partnerships and revenue generation. For this purpose, we propose a fractional nonlinear regression model and dynamic GGM 9Generalized Method of Moments) estimation. We do not rule out the endogeneity of the contextual variables, cross-sectional correlation or autocorrelation within the panel. We conclude that revenue generation and previous performance scores are statistically significant and positively associated with actual performance.