DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)

Detalhes bibliográficos
Autor(a) principal: Teixeira, Rudolph Fabiano A. P.
Data de Publicação: 2014
Outros Autores: Almeida, Luciana Togeiro de, Bertella, Mario Augusto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Análise Econômica (Online)
Texto Completo: https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/16328
Resumo: This paper analyzes the spatialconvergence for the process of deforestation among 139 cities in the Mato Grosso State during the period 2000-2008.First, itcarried out an Exploratory Spatial Data Analysis (ESDA), which detected the presence ofspatial association between the rates of deforestation in municipalities of Mato Grosso State. Thus, we can considerthat deforestation does not follow a random process in thisregion. After that, it was estimated some models of β convergence, indicating that the spatial error model is the best one. However, in spite of the coefficient β being statistically significant in all periods, it has a positive signal, suggesting that there is not a convergence, but an increase in the regional disparities in the process of deforestation.
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spelling DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)DESMATAMENTO NO ESTADO DE MATO GROSSO: AVALIAÇÃO DE CONVERGÊNCIA E INTERAÇÃO ESPACIAL (2000-2008)DesmatamentoEconometria espacialβ convergênciaR12Q51DeforestationSpatial econometricsβ convergenceR12Q51This paper analyzes the spatialconvergence for the process of deforestation among 139 cities in the Mato Grosso State during the period 2000-2008.First, itcarried out an Exploratory Spatial Data Analysis (ESDA), which detected the presence ofspatial association between the rates of deforestation in municipalities of Mato Grosso State. Thus, we can considerthat deforestation does not follow a random process in thisregion. After that, it was estimated some models of β convergence, indicating that the spatial error model is the best one. However, in spite of the coefficient β being statistically significant in all periods, it has a positive signal, suggesting that there is not a convergence, but an increase in the regional disparities in the process of deforestation.Este trabalho faz uma análise de convergência espacial para o processo de desmatamento em 139 municípios do estado de Mato Grosso durante o período de 2000 a 2008. Primeiramente, realiza-se uma análise exploratória de dados espaciais (Aede), que detecta a presença de autocorrelação espacial entre as taxas de desmatamento dos municípios da referida região. Dessa forma, pode-se considerar que o desmatamento não segue um processo aleatório no estado de Mato Grosso. Após isso, são estimados alguns modelos de β convergência, indicando que o modelo de erro espacial é o que fornece melhores resultados. Contudo, mesmo o coeficiente β sendo estatisticamente significativo para todos os períodos, apresenta sinal positivo, sugerindo que não ocorre convergência, mas sim incremento das disparidades regionais no processo de desmatamento.UFRGS2014-03-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/1632810.22456/2176-5456.16328Análise Econômica; Vol. 32 No. 61 (2014): março de 2014Análise Econômica; v. 32 n. 61 (2014): março de 20142176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/16328/28705Copyright (c) 2019 Análise Econômicainfo:eu-repo/semantics/openAccessTeixeira, Rudolph Fabiano A. P.Almeida, Luciana Togeiro deBertella, Mario Augusto2014-04-30T20:22:31Zoai:seer.ufrgs.br:article/16328Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2014-04-30T20:22:31Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.none.fl_str_mv DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)
DESMATAMENTO NO ESTADO DE MATO GROSSO: AVALIAÇÃO DE CONVERGÊNCIA E INTERAÇÃO ESPACIAL (2000-2008)
title DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)
spellingShingle DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)
Teixeira, Rudolph Fabiano A. P.
Desmatamento
Econometria espacial
β convergência
R12
Q51
Deforestation
Spatial econometrics
β convergence
R12
Q51
title_short DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)
title_full DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)
title_fullStr DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)
title_full_unstemmed DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)
title_sort DEFORESTATION IN THE MATO GROSSO STATE: CONVERGENCE ASSESSMENT AND SPATIAL INTERACTION (2000-2008)
author Teixeira, Rudolph Fabiano A. P.
author_facet Teixeira, Rudolph Fabiano A. P.
Almeida, Luciana Togeiro de
Bertella, Mario Augusto
author_role author
author2 Almeida, Luciana Togeiro de
Bertella, Mario Augusto
author2_role author
author
dc.contributor.author.fl_str_mv Teixeira, Rudolph Fabiano A. P.
Almeida, Luciana Togeiro de
Bertella, Mario Augusto
dc.subject.por.fl_str_mv Desmatamento
Econometria espacial
β convergência
R12
Q51
Deforestation
Spatial econometrics
β convergence
R12
Q51
topic Desmatamento
Econometria espacial
β convergência
R12
Q51
Deforestation
Spatial econometrics
β convergence
R12
Q51
description This paper analyzes the spatialconvergence for the process of deforestation among 139 cities in the Mato Grosso State during the period 2000-2008.First, itcarried out an Exploratory Spatial Data Analysis (ESDA), which detected the presence ofspatial association between the rates of deforestation in municipalities of Mato Grosso State. Thus, we can considerthat deforestation does not follow a random process in thisregion. After that, it was estimated some models of β convergence, indicating that the spatial error model is the best one. However, in spite of the coefficient β being statistically significant in all periods, it has a positive signal, suggesting that there is not a convergence, but an increase in the regional disparities in the process of deforestation.
publishDate 2014
dc.date.none.fl_str_mv 2014-03-28
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/16328
10.22456/2176-5456.16328
url https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/16328
identifier_str_mv 10.22456/2176-5456.16328
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/16328/28705
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. 32 No. 61 (2014): março de 2014
Análise Econômica; v. 32 n. 61 (2014): março de 2014
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
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