The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model

Detalhes bibliográficos
Autor(a) principal: Polloni-Silva, Eduardo
Data de Publicação: 2021
Outros Autores: Silveira, Naijela, Ferraz, Diogo [UNESP], de Mello, Diego Scarpa, Moralles, Herick Fernando
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s11356-021-14097-w
http://hdl.handle.net/11449/206357
Resumo: Since energy is one of the basic inputs for development, emerging economies should make an effort to investigate the environmental impacts of their fast economic growth. However, large emerging economies present significant regional heterogeneity that is usually uncounted for. This study uses the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model and regional data on the 27 Brazilian states to investigate the growth-CO2 nexus under distinct development stages. To perform this analysis, we divided the states into three groups according to their average annual GDP (i.e., richer, intermediate, and poorer regions). The results suggest that richer and poorer regions, particularly, present economic and demographic developments that are environmentally costly. Also, population and per capita GDP have the largest influences on CO2 emissions. The roles of the industrial sector and the ascending service sector are also subject to criticism. Moreover, Brazil arguably suffers from technological stagnation as its energy intensity is growing and boosting CO2 emissions. We discuss the policy implications of these findings and suggest a future research agenda.
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spelling The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT modelBrazilCO2 emissionsEnergyLatin AmericaRegional analysisSTIRPATSince energy is one of the basic inputs for development, emerging economies should make an effort to investigate the environmental impacts of their fast economic growth. However, large emerging economies present significant regional heterogeneity that is usually uncounted for. This study uses the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model and regional data on the 27 Brazilian states to investigate the growth-CO2 nexus under distinct development stages. To perform this analysis, we divided the states into three groups according to their average annual GDP (i.e., richer, intermediate, and poorer regions). The results suggest that richer and poorer regions, particularly, present economic and demographic developments that are environmentally costly. Also, population and per capita GDP have the largest influences on CO2 emissions. The roles of the industrial sector and the ascending service sector are also subject to criticism. Moreover, Brazil arguably suffers from technological stagnation as its energy intensity is growing and boosting CO2 emissions. We discuss the policy implications of these findings and suggest a future research agenda.Production Engineering Department Federal University of São Carlos (UFSCar), Rod. Washington Luís – Km 235Department of Economics Federal University of Ouro Preto (UFOP)Department of Production Engineering São Paulo State University (UNESP)University of HohenheimDepartment of Production Engineering São Paulo State University (UNESP)Universidade Federal de São Carlos (UFSCar)Federal University of Ouro Preto (UFOP)Universidade Estadual Paulista (Unesp)University of HohenheimPolloni-Silva, EduardoSilveira, NaijelaFerraz, Diogo [UNESP]de Mello, Diego ScarpaMoralles, Herick Fernando2021-06-25T10:30:45Z2021-06-25T10:30:45Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11356-021-14097-wEnvironmental Science and Pollution Research.1614-74990944-1344http://hdl.handle.net/11449/20635710.1007/s11356-021-14097-w2-s2.0-85106028310Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnvironmental Science and Pollution Researchinfo:eu-repo/semantics/openAccess2021-10-23T04:15:59Zoai:repositorio.unesp.br:11449/206357Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:53:07.722700Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
title The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
spellingShingle The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
Polloni-Silva, Eduardo
Brazil
CO2 emissions
Energy
Latin America
Regional analysis
STIRPAT
title_short The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
title_full The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
title_fullStr The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
title_full_unstemmed The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
title_sort The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
author Polloni-Silva, Eduardo
author_facet Polloni-Silva, Eduardo
Silveira, Naijela
Ferraz, Diogo [UNESP]
de Mello, Diego Scarpa
Moralles, Herick Fernando
author_role author
author2 Silveira, Naijela
Ferraz, Diogo [UNESP]
de Mello, Diego Scarpa
Moralles, Herick Fernando
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de São Carlos (UFSCar)
Federal University of Ouro Preto (UFOP)
Universidade Estadual Paulista (Unesp)
University of Hohenheim
dc.contributor.author.fl_str_mv Polloni-Silva, Eduardo
Silveira, Naijela
Ferraz, Diogo [UNESP]
de Mello, Diego Scarpa
Moralles, Herick Fernando
dc.subject.por.fl_str_mv Brazil
CO2 emissions
Energy
Latin America
Regional analysis
STIRPAT
topic Brazil
CO2 emissions
Energy
Latin America
Regional analysis
STIRPAT
description Since energy is one of the basic inputs for development, emerging economies should make an effort to investigate the environmental impacts of their fast economic growth. However, large emerging economies present significant regional heterogeneity that is usually uncounted for. This study uses the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model and regional data on the 27 Brazilian states to investigate the growth-CO2 nexus under distinct development stages. To perform this analysis, we divided the states into three groups according to their average annual GDP (i.e., richer, intermediate, and poorer regions). The results suggest that richer and poorer regions, particularly, present economic and demographic developments that are environmentally costly. Also, population and per capita GDP have the largest influences on CO2 emissions. The roles of the industrial sector and the ascending service sector are also subject to criticism. Moreover, Brazil arguably suffers from technological stagnation as its energy intensity is growing and boosting CO2 emissions. We discuss the policy implications of these findings and suggest a future research agenda.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T10:30:45Z
2021-06-25T10:30:45Z
2021-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s11356-021-14097-w
Environmental Science and Pollution Research.
1614-7499
0944-1344
http://hdl.handle.net/11449/206357
10.1007/s11356-021-14097-w
2-s2.0-85106028310
url http://dx.doi.org/10.1007/s11356-021-14097-w
http://hdl.handle.net/11449/206357
identifier_str_mv Environmental Science and Pollution Research.
1614-7499
0944-1344
10.1007/s11356-021-14097-w
2-s2.0-85106028310
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Environmental Science and Pollution Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128994621521920