The use of econometric models in studies of Eletricity Generation from biomass: a bibliometric analysis

Detalhes bibliográficos
Autor(a) principal: Martins, Luís Oscar Silva
Data de Publicação: 2020
Outros Autores: Carneiro, Roberto Antônio Fortuna, Fernandes, Fábio Matos, Silva, Marcelo Santana, Freires, Francisco Gaudêncio Mendonça, Torres, Ednildo Andrade
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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spelling 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.www2.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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