EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Análise Econômica (Online) |
Texto Completo: | https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/70816 |
Resumo: | In this paper, we analyzed the spatial dependence of the efficiency of public-sector health services in Minas Gerais, taking as reference its 853 municipalities in 2010. We computed efficiency scores and rakings by employing the method of data envelopment analysis meta-frontier. Spatial analysis was carried through with exploratory data techniques. Our results highlighted problems with resource allocation, especially in smaller cities. In addition, we found clusters of high and low-efficiency scores in the state. When comparing groups, it was verified that municipalities classified as “high-high” had higher socioeconomic indicators than those in the “low-low” regions. Therefore, a proper understanding of local realities could represent a step toward the optimization of resource allocation in the public health system. |
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EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSISANÁLISE ESPACIAL DA EFICIÊNCIA DOS GASTOS PÚBLICOS EM SAÚDE EM MINAS GERAISEficiênciaSaúdeAnálise espacialC02I18R01EfficiencyPublic healthSpatial analysisC02I18R01In this paper, we analyzed the spatial dependence of the efficiency of public-sector health services in Minas Gerais, taking as reference its 853 municipalities in 2010. We computed efficiency scores and rakings by employing the method of data envelopment analysis meta-frontier. Spatial analysis was carried through with exploratory data techniques. Our results highlighted problems with resource allocation, especially in smaller cities. In addition, we found clusters of high and low-efficiency scores in the state. When comparing groups, it was verified that municipalities classified as “high-high” had higher socioeconomic indicators than those in the “low-low” regions. Therefore, a proper understanding of local realities could represent a step toward the optimization of resource allocation in the public health system.Esta pesquisa analisa a relação espacial da eficiência municipal em saúde em Minas Gerais, tomando como referência os 853 municípios do estado em 2010. Para criar os indicadores de eficiência, utiliza-se a técnica de análise envoltória de dados meta-frontier. O estudo espacial é realizado por meio da análise exploratória de dados espaciais. Os principais resultados destacam problemas na aplicação dos recursos e elevado montante relativo de gastos, sobretudo nos pequenos municípios. Pela análise espacial, encontram-se aglomerados de alta e baixa eficiência no estado. Ao se comparar os agrupamentos, verifica-se que os municípios “alto-alto” apresentam indicadores socioeconômicos mais elevados em relação aos “baixo-baixo”. Estudar melhor a realidade dessas regiões poderia ser o primeiro passo para otimizar os recursos aplicados na saúde.UFRGS2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/7081610.22456/2176-5456.70816Análise Econômica; Vol. 37 No. 72 (2019): Março 2019Análise Econômica; v. 37 n. 72 (2019): Março 20192176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/70816/52462Copyright (c) 2019 Análise Econômicainfo:eu-repo/semantics/openAccessSoares, Thiago CostaCosta, Jenniffer Beatriz daLopes, Luckas Sabioni2019-04-11T19:05:27Zoai:seer.ufrgs.br:article/70816Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2019-04-11T19:05:27Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS ANÁLISE ESPACIAL DA EFICIÊNCIA DOS GASTOS PÚBLICOS EM SAÚDE EM MINAS GERAIS |
title |
EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS |
spellingShingle |
EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS Soares, Thiago Costa Eficiência Saúde Análise espacial C02 I18 R01 Efficiency Public health Spatial analysis C02 I18 R01 |
title_short |
EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS |
title_full |
EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS |
title_fullStr |
EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS |
title_full_unstemmed |
EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS |
title_sort |
EFFICIENCY OF PUBLIC HEALTH IN MINAS GERAIS STATE: A SPATIAL ANALYSIS |
author |
Soares, Thiago Costa |
author_facet |
Soares, Thiago Costa Costa, Jenniffer Beatriz da Lopes, Luckas Sabioni |
author_role |
author |
author2 |
Costa, Jenniffer Beatriz da Lopes, Luckas Sabioni |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Soares, Thiago Costa Costa, Jenniffer Beatriz da Lopes, Luckas Sabioni |
dc.subject.por.fl_str_mv |
Eficiência Saúde Análise espacial C02 I18 R01 Efficiency Public health Spatial analysis C02 I18 R01 |
topic |
Eficiência Saúde Análise espacial C02 I18 R01 Efficiency Public health Spatial analysis C02 I18 R01 |
description |
In this paper, we analyzed the spatial dependence of the efficiency of public-sector health services in Minas Gerais, taking as reference its 853 municipalities in 2010. We computed efficiency scores and rakings by employing the method of data envelopment analysis meta-frontier. Spatial analysis was carried through with exploratory data techniques. Our results highlighted problems with resource allocation, especially in smaller cities. In addition, we found clusters of high and low-efficiency scores in the state. When comparing groups, it was verified that municipalities classified as “high-high” had higher socioeconomic indicators than those in the “low-low” regions. Therefore, a proper understanding of local realities could represent a step toward the optimization of resource allocation in the public health system. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/70816 10.22456/2176-5456.70816 |
url |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/70816 |
identifier_str_mv |
10.22456/2176-5456.70816 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/70816/52462 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Análise Econômica info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Análise Econômica |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFRGS |
publisher.none.fl_str_mv |
UFRGS |
dc.source.none.fl_str_mv |
Análise Econômica; Vol. 37 No. 72 (2019): Março 2019 Análise Econômica; v. 37 n. 72 (2019): Março 2019 2176-5456 0102-9924 reponame:Análise Econômica (Online) instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Análise Econômica (Online) |
collection |
Análise Econômica (Online) |
repository.name.fl_str_mv |
Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
||rae@ufrgs.br |
_version_ |
1750135482691354624 |