State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems

Detalhes bibliográficos
Autor(a) principal: Beneli, Daniela Scarpa
Data de Publicação: 2022
Outros Autores: Carvalho, Silvia Angélica Domingues de, Furtado, André Tosi
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/4202
Resumo: The methodological systematization of data collection, compilation and aggregation of Science, Technology and Innovation Indicators has proved to be an important component in the formulation and evaluation of public policies.  Thus, the aim of this article is to present a methodology for the construction of the State Composite Innovation Indicator that allows evaluating the innovative performance of regional innovation systems. The procedures used were: research by bibliographic materials, adaptation of the methodology proposed by the European Innovation Scoreboard and calculation of the databases available in the Brazilian statistical system. The methodology of the State Composite Innovation Indicator revealed strengths and weaknesses in the different dimensions of Brazilian regional innovation systems. Among them, in São Paulo, Rio Grande do Sul, Paraná and Rio de Janeiro, there were strength in human resources and research system, in the Amazon, on the other hand, there are weaknesses in these same dimensions and highlighting innovators and occupations.
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spelling State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systemsIndicador composto estadual de inovação (ICEI): uma metodologia para avaliação de sistemas regionais de inovaçãoDispêndio em ciênciatecnologia e inovaçãoatividade inovativaimpactoExpenditure on ScienceTechnology and InnovationInnovative ActivityImpactThe methodological systematization of data collection, compilation and aggregation of Science, Technology and Innovation Indicators has proved to be an important component in the formulation and evaluation of public policies.  Thus, the aim of this article is to present a methodology for the construction of the State Composite Innovation Indicator that allows evaluating the innovative performance of regional innovation systems. The procedures used were: research by bibliographic materials, adaptation of the methodology proposed by the European Innovation Scoreboard and calculation of the databases available in the Brazilian statistical system. The methodology of the State Composite Innovation Indicator revealed strengths and weaknesses in the different dimensions of Brazilian regional innovation systems. Among them, in São Paulo, Rio Grande do Sul, Paraná and Rio de Janeiro, there were strength in human resources and research system, in the Amazon, on the other hand, there are weaknesses in these same dimensions and highlighting innovators and occupations.A sistematização metodológica de levantamento de dados, compilação e agregação de Indicadores de Ciência, Tecnologia e Inovação tem se mostrado um componente importante na formulação e avaliação de políticas públicas. Assim, o objetivo deste artigo é apresentar uma metodologia de construção do Indicador Composto Estadual de Inovação que permita avaliar o desempenho inovativo dos sistemas regionais de inovação. Os procedimentos utilizados foram: investigação por materiais bibliográficos, adaptação da metodologia proposta pelo European Innovation Scoreboard e apuração das bases de dados disponíveis no sistema estatístico brasileiro. A metodologia do Indicador Composto Estadual de Inovação revelou potencialidades e fragilidades nas distintas dimensões dos sistemas regionais de inovação brasileiros. Entre elas, em São Paulo, Rio Grande do Sul, Paraná e Rio de Janeiro, constataram-se forças em recursos humanos e sistema de pesquisa, no Amazonas, por outro lado, há fragilidades nessas mesmas dimensões e destaque em inovadores e ocupações.SciELO PreprintsSciELO PreprintsSciELO Preprints2022-05-31info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/420210.1590/0103-6351/6982porhttps://preprints.scielo.org/index.php/scielo/article/view/4202/7959Copyright (c) 2022 Daniela Scarpa Beneli, Silvia Angélica Domingues de Carvalho, André Tosi Furtadohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBeneli, Daniela ScarpaCarvalho, Silvia Angélica Domingues deFurtado, André Tosireponame:SciELO Preprintsinstname:SciELOinstacron:SCI2022-05-30T22:24:31Zoai:ops.preprints.scielo.org:preprint/4202Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2022-05-30T22:24:31SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems
Indicador composto estadual de inovação (ICEI): uma metodologia para avaliação de sistemas regionais de inovação
title State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems
spellingShingle State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems
Beneli, Daniela Scarpa
Dispêndio em ciência
tecnologia e inovação
atividade inovativa
impacto
Expenditure on Science
Technology and Innovation
Innovative Activity
Impact
title_short State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems
title_full State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems
title_fullStr State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems
title_full_unstemmed State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems
title_sort State Composite Innovation Indicator (SCII): a methodology for evaluating regional innovation systems
author Beneli, Daniela Scarpa
author_facet Beneli, Daniela Scarpa
Carvalho, Silvia Angélica Domingues de
Furtado, André Tosi
author_role author
author2 Carvalho, Silvia Angélica Domingues de
Furtado, André Tosi
author2_role author
author
dc.contributor.author.fl_str_mv Beneli, Daniela Scarpa
Carvalho, Silvia Angélica Domingues de
Furtado, André Tosi
dc.subject.por.fl_str_mv Dispêndio em ciência
tecnologia e inovação
atividade inovativa
impacto
Expenditure on Science
Technology and Innovation
Innovative Activity
Impact
topic Dispêndio em ciência
tecnologia e inovação
atividade inovativa
impacto
Expenditure on Science
Technology and Innovation
Innovative Activity
Impact
description The methodological systematization of data collection, compilation and aggregation of Science, Technology and Innovation Indicators has proved to be an important component in the formulation and evaluation of public policies.  Thus, the aim of this article is to present a methodology for the construction of the State Composite Innovation Indicator that allows evaluating the innovative performance of regional innovation systems. The procedures used were: research by bibliographic materials, adaptation of the methodology proposed by the European Innovation Scoreboard and calculation of the databases available in the Brazilian statistical system. The methodology of the State Composite Innovation Indicator revealed strengths and weaknesses in the different dimensions of Brazilian regional innovation systems. Among them, in São Paulo, Rio Grande do Sul, Paraná and Rio de Janeiro, there were strength in human resources and research system, in the Amazon, on the other hand, there are weaknesses in these same dimensions and highlighting innovators and occupations.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-31
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/4202
10.1590/0103-6351/6982
url https://preprints.scielo.org/index.php/scielo/preprint/view/4202
identifier_str_mv 10.1590/0103-6351/6982
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/4202/7959
dc.rights.driver.fl_str_mv Copyright (c) 2022 Daniela Scarpa Beneli, Silvia Angélica Domingues de Carvalho, André Tosi Furtado
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Daniela Scarpa Beneli, Silvia Angélica Domingues de Carvalho, André Tosi Furtado
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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