Demand for light fuels in Brazil: an approach using spatial panel data models
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Nova Economia (Online) |
Texto Completo: | https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4327 |
Resumo: | The need for changes in the current energy matrix is a reality due to the possibility of a shortage of fossil fuels and the environmental damage caused by emissions related to fossil fuel use. The correct prescription of public policies for energy markets depends on the knowledge of demand elasticities. Hence, the aim of this work was to estimate the main determinants of light fuel demands in Brazil. Dynamic and non-dynamic estimators were used, and the results indicated that both demands respond more to changes in gasoline prices than changes in ethanol prices. Therefore, public policies that aim to change consumption patterns should focus on gasoline prices. |
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Demand for light fuels in Brazil: an approach using spatial panel data models Demanda por combustíveis leves no Brasil: uma abordagem usando modelos espaciais de dados em painel The need for changes in the current energy matrix is a reality due to the possibility of a shortage of fossil fuels and the environmental damage caused by emissions related to fossil fuel use. The correct prescription of public policies for energy markets depends on the knowledge of demand elasticities. Hence, the aim of this work was to estimate the main determinants of light fuel demands in Brazil. Dynamic and non-dynamic estimators were used, and the results indicated that both demands respond more to changes in gasoline prices than changes in ethanol prices. Therefore, public policies that aim to change consumption patterns should focus on gasoline prices.As mudanças na atual matriz energética são necessárias por conta da futura escassez dos fósseis e pelos danos causados por seu consumo. A correta prescrição de políticas públicas para os mercados de energia necessita do conhecimento das elasticidades da demanda. Por isso, o objetivo deste estudo é estimar os principais determinantes da demanda para o etanol e para a gasolina no Brasil. Estimadores dinâmicos e não dinâmicos foram utilizados e os resultados indicam que ambas as demandas respondem mais a mudanças nos preços da gasolina do que a mudanças nos preços do etanol. Por isso, políticas públicas focadas em mudar hábitos de consumo (redução do consumo de gasolina, por exemplo) têm no preço da gasolina um bom instrumento.Departamento de Ciências Econômicas da UFMG2020-06-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4327Nova Economia; Vol. 30 No. 1 (2020); 231-256Nova Economia; v. 30 n. 1 (2020); 231-2561980-53810103-6351reponame:Nova Economia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGenghttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4327/3108Copyright (c) 2020 Leonardo Chaves Borges Cardoso, Maurício Vaz Lobo Bittencourt, Alexandre Alves Porsseinfo:eu-repo/semantics/openAccessCardoso, Leonardo Chaves BorgesBittencourt, Maurício Vaz LoboPorsse, Alexandre Alves2020-10-04T22:21:26Zoai:ojs.pkp.sfu.ca:article/4327Revistahttps://revistas.face.ufmg.br/index.php/novaeconomiaPUBhttps://revistas.face.ufmg.br/index.php/novaeconomia/oai||ne@face.ufmg.br1980-53810103-6351opendoar:2020-10-04T22:21:26Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Demand for light fuels in Brazil: an approach using spatial panel data models Demanda por combustíveis leves no Brasil: uma abordagem usando modelos espaciais de dados em painel |
title |
Demand for light fuels in Brazil: an approach using spatial panel data models |
spellingShingle |
Demand for light fuels in Brazil: an approach using spatial panel data models Cardoso, Leonardo Chaves Borges |
title_short |
Demand for light fuels in Brazil: an approach using spatial panel data models |
title_full |
Demand for light fuels in Brazil: an approach using spatial panel data models |
title_fullStr |
Demand for light fuels in Brazil: an approach using spatial panel data models |
title_full_unstemmed |
Demand for light fuels in Brazil: an approach using spatial panel data models |
title_sort |
Demand for light fuels in Brazil: an approach using spatial panel data models |
author |
Cardoso, Leonardo Chaves Borges |
author_facet |
Cardoso, Leonardo Chaves Borges Bittencourt, Maurício Vaz Lobo Porsse, Alexandre Alves |
author_role |
author |
author2 |
Bittencourt, Maurício Vaz Lobo Porsse, Alexandre Alves |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Cardoso, Leonardo Chaves Borges Bittencourt, Maurício Vaz Lobo Porsse, Alexandre Alves |
description |
The need for changes in the current energy matrix is a reality due to the possibility of a shortage of fossil fuels and the environmental damage caused by emissions related to fossil fuel use. The correct prescription of public policies for energy markets depends on the knowledge of demand elasticities. Hence, the aim of this work was to estimate the main determinants of light fuel demands in Brazil. Dynamic and non-dynamic estimators were used, and the results indicated that both demands respond more to changes in gasoline prices than changes in ethanol prices. Therefore, public policies that aim to change consumption patterns should focus on gasoline prices. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-10 |
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://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4327 |
url |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4327 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4327/3108 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Departamento de Ciências Econômicas da UFMG |
publisher.none.fl_str_mv |
Departamento de Ciências Econômicas da UFMG |
dc.source.none.fl_str_mv |
Nova Economia; Vol. 30 No. 1 (2020); 231-256 Nova Economia; v. 30 n. 1 (2020); 231-256 1980-5381 0103-6351 reponame:Nova Economia (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Nova Economia (Online) |
collection |
Nova Economia (Online) |
repository.name.fl_str_mv |
Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
||ne@face.ufmg.br |
_version_ |
1799711059764838400 |