Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.

Detalhes bibliográficos
Autor(a) principal: SOUZA, G. da S. e
Data de Publicação: 2010
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/853966
Resumo: In a research institution it is important to identify which management practices have influence on production efficiency. In this paper we assess the statistical significance of contextual variables type, size, financial resources acquisition, intensity of partnerships, processes improvements and management change. The analysis is carried out for the Brazilian Agricultural Research Corporation over the period 1999?2006. The statistical analysis uses a balanced dynamic panel data model. We conclude that only financial resources acquisition is statistically significant. The association with the production process is positive. We also found the two lag inertial components of the conditional FDH to unconditional FDH ratio statistically significant, indicating a 2-year effort to improve efficiency.
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spelling Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.Pesquisa agrícolaAgricultural researchIn a research institution it is important to identify which management practices have influence on production efficiency. In this paper we assess the statistical significance of contextual variables type, size, financial resources acquisition, intensity of partnerships, processes improvements and management change. The analysis is carried out for the Brazilian Agricultural Research Corporation over the period 1999?2006. The statistical analysis uses a balanced dynamic panel data model. We conclude that only financial resources acquisition is statistically significant. The association with the production process is positive. We also found the two lag inertial components of the conditional FDH to unconditional FDH ratio statistically significant, indicating a 2-year effort to improve efficiency.Geraldo da Silva e Souza, SGE; Eliane Gonçalves Gomes, SGE.SOUZA, G. da S. eGOMES, E. G.2017-01-18T23:00:57Z2017-01-18T23:00:57Z2010-05-2720102017-01-18T23:00:57Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleInternational Transactions in Operational Research, v. 17, n. 3, p. 351-363, 2010.http://www.alice.cnptia.embrapa.br/alice/handle/doc/85396610.1111/j.1475-3995.2009.00734.xenginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:04:01Zoai:www.alice.cnptia.embrapa.br:doc/853966Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:04:01falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:04:01Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
title Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
spellingShingle Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
SOUZA, G. da S. e
Pesquisa agrícola
Agricultural research
title_short Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
title_full Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
title_fullStr Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
title_full_unstemmed Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
title_sort Probabilistic measures of efficiency and the influence of contextual variables in nonparametric production models: an application to agricultural ressearch in Brazil.
author SOUZA, G. da S. e
author_facet SOUZA, G. da S. e
GOMES, E. G.
author_role author
author2 GOMES, E. G.
author2_role author
dc.contributor.none.fl_str_mv Geraldo da Silva e Souza, SGE; Eliane Gonçalves Gomes, SGE.
dc.contributor.author.fl_str_mv SOUZA, G. da S. e
GOMES, E. G.
dc.subject.por.fl_str_mv Pesquisa agrícola
Agricultural research
topic Pesquisa agrícola
Agricultural research
description In a research institution it is important to identify which management practices have influence on production efficiency. In this paper we assess the statistical significance of contextual variables type, size, financial resources acquisition, intensity of partnerships, processes improvements and management change. The analysis is carried out for the Brazilian Agricultural Research Corporation over the period 1999?2006. The statistical analysis uses a balanced dynamic panel data model. We conclude that only financial resources acquisition is statistically significant. The association with the production process is positive. We also found the two lag inertial components of the conditional FDH to unconditional FDH ratio statistically significant, indicating a 2-year effort to improve efficiency.
publishDate 2010
dc.date.none.fl_str_mv 2010-05-27
2010
2017-01-18T23:00:57Z
2017-01-18T23:00:57Z
2017-01-18T23:00:57Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv International Transactions in Operational Research, v. 17, n. 3, p. 351-363, 2010.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/853966
10.1111/j.1475-3995.2009.00734.x
identifier_str_mv International Transactions in Operational Research, v. 17, n. 3, p. 351-363, 2010.
10.1111/j.1475-3995.2009.00734.x
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/853966
dc.language.iso.fl_str_mv eng
language eng
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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