The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000301105 |
Resumo: | Abstract The aim of this article is to evaluate the efficiency of cities of the State of Rio de Janeiro in relation to municipal expenditures on education, as well as to identify the reasons that lead to inefficiency. In order to achieve the initial goal, this study uses DEA technique. The DMUs are 69 cities of the State of Rio de Janeiro. This paper uses following variables as inputs: municipal expenditure on elementary school, number of teachers of 9th grade of elementary school and number of students enrolled in 9th grade of elementary school. The following variables are used to compose output information: number of students who achieved advanced or proficient level in Portuguese and number of students who achieved advanced or proficient level in Mathematics. All data refer to the year 2013. In this study, output-oriented BCC model is used and, for its application, SIAD V3.0 software was used. GIS-DEA integration and some variables external to modelling were used to identify aspects that led to the inefficiency of some DMUs. This study concludes that cities that displayed a good performance are located in the least economically developed regions and that teachers’ average salary is an important motivational factor. |
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Anais da Academia Brasileira de Ciências (Online) |
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The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de JaneiroData Envelopment Analysis (DEA)education evaluationefficiencypublic expenditureAbstract The aim of this article is to evaluate the efficiency of cities of the State of Rio de Janeiro in relation to municipal expenditures on education, as well as to identify the reasons that lead to inefficiency. In order to achieve the initial goal, this study uses DEA technique. The DMUs are 69 cities of the State of Rio de Janeiro. This paper uses following variables as inputs: municipal expenditure on elementary school, number of teachers of 9th grade of elementary school and number of students enrolled in 9th grade of elementary school. The following variables are used to compose output information: number of students who achieved advanced or proficient level in Portuguese and number of students who achieved advanced or proficient level in Mathematics. All data refer to the year 2013. In this study, output-oriented BCC model is used and, for its application, SIAD V3.0 software was used. GIS-DEA integration and some variables external to modelling were used to identify aspects that led to the inefficiency of some DMUs. This study concludes that cities that displayed a good performance are located in the least economically developed regions and that teachers’ average salary is an important motivational factor.Academia Brasileira de Ciências2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000301105Anais da Academia Brasileira de Ciências v.92 n.2 2020reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202020190187info:eu-repo/semantics/openAccessMOTA,TULIO R.A.MEZA,LIDIA A.eng2020-07-09T00:00:00Zoai:scielo:S0001-37652020000301105Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-07-09T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro |
title |
The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro |
spellingShingle |
The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro MOTA,TULIO R.A. Data Envelopment Analysis (DEA) education evaluation efficiency public expenditure |
title_short |
The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro |
title_full |
The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro |
title_fullStr |
The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro |
title_full_unstemmed |
The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro |
title_sort |
The use of DEA as a tool to evaluate public expenditure on education: an analysis of the cities of the state of Rio de Janeiro |
author |
MOTA,TULIO R.A. |
author_facet |
MOTA,TULIO R.A. MEZA,LIDIA A. |
author_role |
author |
author2 |
MEZA,LIDIA A. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
MOTA,TULIO R.A. MEZA,LIDIA A. |
dc.subject.por.fl_str_mv |
Data Envelopment Analysis (DEA) education evaluation efficiency public expenditure |
topic |
Data Envelopment Analysis (DEA) education evaluation efficiency public expenditure |
description |
Abstract The aim of this article is to evaluate the efficiency of cities of the State of Rio de Janeiro in relation to municipal expenditures on education, as well as to identify the reasons that lead to inefficiency. In order to achieve the initial goal, this study uses DEA technique. The DMUs are 69 cities of the State of Rio de Janeiro. This paper uses following variables as inputs: municipal expenditure on elementary school, number of teachers of 9th grade of elementary school and number of students enrolled in 9th grade of elementary school. The following variables are used to compose output information: number of students who achieved advanced or proficient level in Portuguese and number of students who achieved advanced or proficient level in Mathematics. All data refer to the year 2013. In this study, output-oriented BCC model is used and, for its application, SIAD V3.0 software was used. GIS-DEA integration and some variables external to modelling were used to identify aspects that led to the inefficiency of some DMUs. This study concludes that cities that displayed a good performance are located in the least economically developed regions and that teachers’ average salary is an important motivational factor. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S0001-37652020000301105 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000301105 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765202020190187 |
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 |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.92 n.2 2020 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
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Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
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||aabc@abc.org.br |
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1754302868933836800 |