The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
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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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 |