01586naa a2200217 a 450000100080000000500110000800800410001902400540006010000220011424501290013626000090026552008780027465000230115265300250117565300300120065300260123065300080125665300150126470000170127977300720129620357512016-02-01       2015    bl uuuu     u00u1 u    #d7 ahttp://dx.doi.org/10.1016/j.ejor.2014.07.0272DOI1 aSOUZA, G. da S. e  aManagement of agricultural research center in Brazilba DEA application using a dynamic GMM approach.h[electronic resource]  c2015  aIn 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.  aPesquisa agrícola  aContextual variables  aData envelopment analysis  aFractional regression  aGMM  aPanel data1 aGOMES, E. G.  tEuropean Journal of Operational Researchgv. 240, p. 819-824, 2015.