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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
01/02/2016 |
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Data da última atualização: |
01/02/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUZA, G. da S. e; GOMES, E. G. |
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Afiliação: |
GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE. |
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Título: |
Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
European Journal of Operational Research, v. 240, p. 819-824, 2015. |
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DOI: |
http://dx.doi.org/10.1016/j.ejor.2014.07.027 |
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Idioma: |
Inglês |
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Conteúdo: |
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. |
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Palavras-Chave: |
Contextual variables; Data envelopment analysis; Fractional regression; GMM; Panel data. |
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Thesagro: |
Pesquisa agrícola. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138206/1/EJOR2015-Souza-and-Gomes.pdf
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Marc: |
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024 7 $ahttp://dx.doi.org/10.1016/j.ejor.2014.07.027$2DOI
100 1 $aSOUZA, G. da S. e
245 $aManagement of agricultural research center in Brazil$ba DEA application using a dynamic GMM approach.$h[electronic resource]
260 $c2015
520 $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.
650 $aPesquisa agrícola
653 $aContextual variables
653 $aData envelopment analysis
653 $aFractional regression
653 $aGMM
653 $aPanel data
700 1 $aGOMES, E. G.
773 $tEuropean Journal of Operational Research$gv. 240, p. 819-824, 2015.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
