Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach.
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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Format: | Artigo de periódico biblioteca |
Language: | English eng |
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2016-02-01
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Subjects: | Data envelopment analysis, Contextual variables, Panel data, Fractional regression, GMM, Pesquisa agrícola, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035751 http://dx.doi.org/10.1016/j.ejor.2014.07.027 |
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dig-alice-doc-10357512017-08-16T03:38:37Z Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach. SOUZA, G. da S. e GOMES, E. G. GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE. 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. 2016-02-01T11:11:11Z 2016-02-01T11:11:11Z 2016-02-01 2015 2016-02-01T11:11:11Z Artigo de periódico European Journal of Operational Research, v. 240, p. 819-824, 2015. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035751 http://dx.doi.org/10.1016/j.ejor.2014.07.027 en eng openAccess |
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Data envelopment analysis Contextual variables Panel data Fractional regression GMM Pesquisa agrícola Data envelopment analysis Contextual variables Panel data Fractional regression GMM Pesquisa agrícola |
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Data envelopment analysis Contextual variables Panel data Fractional regression GMM Pesquisa agrícola Data envelopment analysis Contextual variables Panel data Fractional regression GMM Pesquisa agrícola SOUZA, G. da S. e GOMES, E. G. Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach. |
description |
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. |
author2 |
GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE. |
author_facet |
GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE. SOUZA, G. da S. e GOMES, E. G. |
format |
Artigo de periódico |
topic_facet |
Data envelopment analysis Contextual variables Panel data Fractional regression GMM Pesquisa agrícola |
author |
SOUZA, G. da S. e GOMES, E. G. |
author_sort |
SOUZA, G. da S. e |
title |
Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach. |
title_short |
Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach. |
title_full |
Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach. |
title_fullStr |
Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach. |
title_full_unstemmed |
Management of agricultural research center in Brazil: a DEA application using a dynamic GMM approach. |
title_sort |
management of agricultural research center in brazil: a dea application using a dynamic gmm approach. |
publishDate |
2016-02-01 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035751 http://dx.doi.org/10.1016/j.ejor.2014.07.027 |
work_keys_str_mv |
AT souzagdase managementofagriculturalresearchcenterinbraziladeaapplicationusingadynamicgmmapproach AT gomeseg managementofagriculturalresearchcenterinbraziladeaapplicationusingadynamicgmmapproach |
_version_ |
1756021995003183104 |