The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Information Science |
Texto Completo: | https://revistas.marilia.unesp.br/index.php/bjis/article/view/9270 |
Resumo: | The present research investigated the utilization of econometric models in studies related to the generation of electricity from biomass, through a bibliometric analysis. The general objective of the study was to analyze the publications, from 1987 to 2018, that explored the potential of econometric models involving biomass for electricity generation. Additionally, it was intended to investigate the most cited articles and authors, seeking to verify the most relevant themes and the main econometric techniques used in the analyses; verify the countries most engaged in these researches, drawing a parallel with their current energy strategies; identify future trends of studies in this area. For this, the SCOPUS database was used, selecting articles in English, from the keywords “Econometrics, biomass and Electricity”. The data collected with the literature review were compiled on thematic maps, with the help of the Vosviewer software, which realized analysis of citation, co-citation, co-authorship and keywords. SciMat software was also used, which generated from key terms, longitudinal strategic maps that allowed identifying future trends on the theme discussed in this article. The results indicated that the main research fronts in this field, are related to the use of econometrics to estimate the impacts of energy generation from biomass in variables such as economic growth, energy demand and greenhouse gas emissions. |
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The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysisEconometric ModelsBiomassEnergyElectricityKeyword AnalysisThe present research investigated the utilization of econometric models in studies related to the generation of electricity from biomass, through a bibliometric analysis. The general objective of the study was to analyze the publications, from 1987 to 2018, that explored the potential of econometric models involving biomass for electricity generation. Additionally, it was intended to investigate the most cited articles and authors, seeking to verify the most relevant themes and the main econometric techniques used in the analyses; verify the countries most engaged in these researches, drawing a parallel with their current energy strategies; identify future trends of studies in this area. For this, the SCOPUS database was used, selecting articles in English, from the keywords “Econometrics, biomass and Electricity”. The data collected with the literature review were compiled on thematic maps, with the help of the Vosviewer software, which realized analysis of citation, co-citation, co-authorship and keywords. SciMat software was also used, which generated from key terms, longitudinal strategic maps that allowed identifying future trends on the theme discussed in this article. The results indicated that the main research fronts in this field, are related to the use of econometrics to estimate the impacts of energy generation from biomass in variables such as economic growth, energy demand and greenhouse gas emissions.A presente pesquisa investigou a utilização de modelos econométricos em estudos relacionados à geração de energia elétrica a partir de biomassa, por meio de uma análise bibliométrica. O objetivo geral do estudo foi analisar as publicações, a partir de 1987 até 2018, que exploraram as potencialidades dos modelos econométricos em trabalhos envolvendo biomassa para geração de eletricidade. Complementarmente, pretendeu-se averiguar os artigos e autores mais citados, buscando verificar as temáticas, até então, mais relevantes e as principais técnicas econométricas utilizadas nas análises; constatar os países mais engajados nestas pesquisas, traçando um paralelo com suas atuais estratégias energéticas; identificar as tendências futuras de estudos nesta área. Para isso, foi utilizada a base de dados da SCOPUS, selecionando-se artigos em língua inglesa, a partir das palavras-chave “Econometrics, Biomass e Electricity”. Os dados coletados com a revisão de literatura foram compilados em mapas temáticos, com auxílio do software Vosviewer, que realizou análise de citação, co-citação, co-autoria e palavras-chave. Foi utilizado ainda o software SciMat, que gerou a partir dos termos chave, mapas estratégicos longitudinais que permitiram identificar tendências futuras sobre a temática debatida neste artigo. Os resultados apontaram que os principais fronts de pesquisa neste campo, estão relacionados ao uso da econometria para se estimar os impactos da geração de energia a partir de biomassa em variáveis como crescimento econômico, demanda energética e emissões de gases do efeito estufa.Faculdade de Filosofia e Ciências2020-03-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/927010.36311/1981-1640.2020.v14n1.07.p130Brazilian Journal of Information Science: Research Trends; Vol. 14 No. 1 - jan-mar (2020); 130-172Brazilian Journal of Information Science: Research Trends; Vol. 14 Núm. 1 - jan-mar (2020); 130-172Brazilian Journal of Information Science: research trends; v. 14 n. 1 - jan-mar (2020); 130-1721981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)instacron:UNESPenghttps://revistas.marilia.unesp.br/index.php/bjis/article/view/9270/6286Copyright (c) 2020 Luís Oscar Silva Martins, Roberto Antônio Fortuna Carneiro, Fábio Matos Fernandes, Marcelo Santana Silva, Francisco Gaudêncio Mendonça Freires, Ednildo Andrade Torreshttps://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessMartins, Luís Oscar SilvaCarneiro, Roberto Antônio FortunaFernandes, Fábio MatosSilva, Marcelo SantanaFreires, Francisco Gaudêncio MendonçaTorres, Ednildo Andrade2022-06-20T15:23:48Zoai:ojs.revistas.marilia.unesp.br:article/9270Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2022-06-20T15:23:48Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)false |
dc.title.none.fl_str_mv |
The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis |
title |
The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis |
spellingShingle |
The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis Martins, Luís Oscar Silva Econometric Models Biomass Energy Electricity Keyword Analysis |
title_short |
The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis |
title_full |
The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis |
title_fullStr |
The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis |
title_full_unstemmed |
The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis |
title_sort |
The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis |
author |
Martins, Luís Oscar Silva |
author_facet |
Martins, Luís Oscar Silva Carneiro, Roberto Antônio Fortuna Fernandes, Fábio Matos Silva, Marcelo Santana Freires, Francisco Gaudêncio Mendonça Torres, Ednildo Andrade |
author_role |
author |
author2 |
Carneiro, Roberto Antônio Fortuna Fernandes, Fábio Matos Silva, Marcelo Santana Freires, Francisco Gaudêncio Mendonça Torres, Ednildo Andrade |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Martins, Luís Oscar Silva Carneiro, Roberto Antônio Fortuna Fernandes, Fábio Matos Silva, Marcelo Santana Freires, Francisco Gaudêncio Mendonça Torres, Ednildo Andrade |
dc.subject.por.fl_str_mv |
Econometric Models Biomass Energy Electricity Keyword Analysis |
topic |
Econometric Models Biomass Energy Electricity Keyword Analysis |
description |
The present research investigated the utilization of econometric models in studies related to the generation of electricity from biomass, through a bibliometric analysis. The general objective of the study was to analyze the publications, from 1987 to 2018, that explored the potential of econometric models involving biomass for electricity generation. Additionally, it was intended to investigate the most cited articles and authors, seeking to verify the most relevant themes and the main econometric techniques used in the analyses; verify the countries most engaged in these researches, drawing a parallel with their current energy strategies; identify future trends of studies in this area. For this, the SCOPUS database was used, selecting articles in English, from the keywords “Econometrics, biomass and Electricity”. The data collected with the literature review were compiled on thematic maps, with the help of the Vosviewer software, which realized analysis of citation, co-citation, co-authorship and keywords. SciMat software was also used, which generated from key terms, longitudinal strategic maps that allowed identifying future trends on the theme discussed in this article. The results indicated that the main research fronts in this field, are related to the use of econometrics to estimate the impacts of energy generation from biomass in variables such as economic growth, energy demand and greenhouse gas emissions. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-27 |
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.marilia.unesp.br/index.php/bjis/article/view/9270 10.36311/1981-1640.2020.v14n1.07.p130 |
url |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/9270 |
identifier_str_mv |
10.36311/1981-1640.2020.v14n1.07.p130 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.marilia.unesp.br/index.php/bjis/article/view/9270/6286 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências |
publisher.none.fl_str_mv |
Faculdade de Filosofia e Ciências |
dc.source.none.fl_str_mv |
Brazilian Journal of Information Science: Research Trends; Vol. 14 No. 1 - jan-mar (2020); 130-172 Brazilian Journal of Information Science: Research Trends; Vol. 14 Núm. 1 - jan-mar (2020); 130-172 Brazilian Journal of Information Science: research trends; v. 14 n. 1 - jan-mar (2020); 130-172 1981-1640 reponame:Brazilian Journal of Information Science instname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Brazilian Journal of Information Science |
collection |
Brazilian Journal of Information Science |
repository.name.fl_str_mv |
Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP) |
repository.mail.fl_str_mv |
brajis.marilia@unesp.br|| |
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1797069098842062848 |