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Management of agricultural research centers in Brazil: a DEA application using a dynamic GMM approach. (English) Zbl 1338.90245
Summary: In this paper, we measure the performance for each of the Brazilian Agricultural Research Corporation research centers by means of a Data Envelopment Analysis model. Performance data are available for a panel covering the period 2002–2009. The approach is instrumentalist, in the sense of E. A. Ramalho, J. J. S. Ramalho and P. D. Henriques [“Fractional regression models for second stage DEA efficiency analyses”, J. Productivity Anal. 34, No. 3, 239–255 (2010; doi:10.1007/s11123-010-0184-0)]. We investigate the effects on performance of contextual variable indicators related to the intensity of partnerships and revenue generation. For this purpose, we propose a fractional nonlinear regression model and dynamic GMM (Generalized 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.
MSC:
90B90 Case-oriented studies in operations research
90B50 Management decision making, including multiple objectives
90C08 Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.)
Software:
nlmdl; Stata
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