Economic efficiency of Embrapa's research centers and the influence of contextual variables

Detalhes bibliográficos
Autor(a) principal: Souza,Geraldo da Silva e
Data de Publicação: 2007
Outros Autores: Gomes,Eliane Gonçalves, Magalhães,Marília Castelo, Ávila,Antonio Flávio Dias
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382007000100002
Resumo: In this paper we measure, with a DEA BCC model, the economic efficiency of Embrapa’s (Brazilian Agricultural Research Corporation) research centers. We model the DEA economic efficiency as a linear function of the contextual variables revenue generation capacity, partnership intensity, improvement of administrative processes, cost rationalization, size and type of research centers. The model used is of the type dynamic panel and assumes a structured correlation matrix intra times and unstructured inter times. In order to better discriminate the efficient units we used a heuristic efficiency score that aggregates the efficiencies in relation to the original and inverted DEA frontiers. Partnerships positive effect in the efficiency scores does not confirm the thoughts that Embrapa’s performance evaluation process discourages the integration and cooperation of its research centers. From the point of view of statistical significance, the improvement of administrative processes is the most important indicator among the contextual variables.
id SOBRAPO-1_e40423c5afed4fcd392c30966c19be97
oai_identifier_str oai:scielo:S0101-74382007000100002
network_acronym_str SOBRAPO-1
network_name_str Pesquisa operacional (Online)
repository_id_str
spelling Economic efficiency of Embrapa's research centers and the influence of contextual variablesdata envelopment analysiseconomic efficiencycontextual variablesIn this paper we measure, with a DEA BCC model, the economic efficiency of Embrapa’s (Brazilian Agricultural Research Corporation) research centers. We model the DEA economic efficiency as a linear function of the contextual variables revenue generation capacity, partnership intensity, improvement of administrative processes, cost rationalization, size and type of research centers. The model used is of the type dynamic panel and assumes a structured correlation matrix intra times and unstructured inter times. In order to better discriminate the efficient units we used a heuristic efficiency score that aggregates the efficiencies in relation to the original and inverted DEA frontiers. Partnerships positive effect in the efficiency scores does not confirm the thoughts that Embrapa’s performance evaluation process discourages the integration and cooperation of its research centers. From the point of view of statistical significance, the improvement of administrative processes is the most important indicator among the contextual variables.Sociedade Brasileira de Pesquisa Operacional2007-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382007000100002Pesquisa Operacional v.27 n.1 2007reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382007000100002info:eu-repo/semantics/openAccessSouza,Geraldo da Silva eGomes,Eliane GonçalvesMagalhães,Marília CasteloÁvila,Antonio Flávio Diaseng2007-06-21T00:00:00Zoai:scielo:S0101-74382007000100002Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2007-06-21T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Economic efficiency of Embrapa's research centers and the influence of contextual variables
title Economic efficiency of Embrapa's research centers and the influence of contextual variables
spellingShingle Economic efficiency of Embrapa's research centers and the influence of contextual variables
Souza,Geraldo da Silva e
data envelopment analysis
economic efficiency
contextual variables
title_short Economic efficiency of Embrapa's research centers and the influence of contextual variables
title_full Economic efficiency of Embrapa's research centers and the influence of contextual variables
title_fullStr Economic efficiency of Embrapa's research centers and the influence of contextual variables
title_full_unstemmed Economic efficiency of Embrapa's research centers and the influence of contextual variables
title_sort Economic efficiency of Embrapa's research centers and the influence of contextual variables
author Souza,Geraldo da Silva e
author_facet Souza,Geraldo da Silva e
Gomes,Eliane Gonçalves
Magalhães,Marília Castelo
Ávila,Antonio Flávio Dias
author_role author
author2 Gomes,Eliane Gonçalves
Magalhães,Marília Castelo
Ávila,Antonio Flávio Dias
author2_role author
author
author
dc.contributor.author.fl_str_mv Souza,Geraldo da Silva e
Gomes,Eliane Gonçalves
Magalhães,Marília Castelo
Ávila,Antonio Flávio Dias
dc.subject.por.fl_str_mv data envelopment analysis
economic efficiency
contextual variables
topic data envelopment analysis
economic efficiency
contextual variables
description In this paper we measure, with a DEA BCC model, the economic efficiency of Embrapa’s (Brazilian Agricultural Research Corporation) research centers. We model the DEA economic efficiency as a linear function of the contextual variables revenue generation capacity, partnership intensity, improvement of administrative processes, cost rationalization, size and type of research centers. The model used is of the type dynamic panel and assumes a structured correlation matrix intra times and unstructured inter times. In order to better discriminate the efficient units we used a heuristic efficiency score that aggregates the efficiencies in relation to the original and inverted DEA frontiers. Partnerships positive effect in the efficiency scores does not confirm the thoughts that Embrapa’s performance evaluation process discourages the integration and cooperation of its research centers. From the point of view of statistical significance, the improvement of administrative processes is the most important indicator among the contextual variables.
publishDate 2007
dc.date.none.fl_str_mv 2007-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382007000100002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382007000100002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382007000100002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.27 n.1 2007
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
_version_ 1750318016626688000