Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/42930 |
Resumo: | It is widely known that the Global Innovation Index reports are of unique value for research purposes. The aim of this work is to provide a panel data file with all pillars of the Global Innovation Index from 2011 until 2022, covering all available economies (149 in total) by income level. After the secondary data was gathered, it was reshaped in an exhaustive process that involved directly importing it from databases or manual insertion. Based on successive Global Innovation Index reports and World Bank data, this work attempts to provide a whole set of data on the incomes of world economies by using Gross Domestic Product per capita based on purchasing power parity (constant 2017 international $ and current international $) and Gross National Income per capita in current U.S. dollars (Atlas method). A descriptive analysis is also provided of data and inferences drawn based on the income differences between economies. The data compilation shared here has a singular relevance as it makes a large amount of structured information easier to access. Moreover, data from subsequent years or even from new entries of economies in the Global Innovation Index reports could be added to the data file. As a practical implication, this work should be considered a reliable tool for quantitative research directly or indirectly related with innovation topics (policies, ecosystems, technologies, programmes, among others), as it reduces the time-consuming process of gathering data. |
id |
RCAP_ae187579ee688bb5dc132118bccd45ce |
---|---|
oai_identifier_str |
oai:comum.rcaap.pt:10400.26/42930 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ useInnovationInnovation dataIncome levelNational innovation systemsPanel dataIt is widely known that the Global Innovation Index reports are of unique value for research purposes. The aim of this work is to provide a panel data file with all pillars of the Global Innovation Index from 2011 until 2022, covering all available economies (149 in total) by income level. After the secondary data was gathered, it was reshaped in an exhaustive process that involved directly importing it from databases or manual insertion. Based on successive Global Innovation Index reports and World Bank data, this work attempts to provide a whole set of data on the incomes of world economies by using Gross Domestic Product per capita based on purchasing power parity (constant 2017 international $ and current international $) and Gross National Income per capita in current U.S. dollars (Atlas method). A descriptive analysis is also provided of data and inferences drawn based on the income differences between economies. The data compilation shared here has a singular relevance as it makes a large amount of structured information easier to access. Moreover, data from subsequent years or even from new entries of economies in the Global Innovation Index reports could be added to the data file. As a practical implication, this work should be considered a reliable tool for quantitative research directly or indirectly related with innovation topics (policies, ecosystems, technologies, programmes, among others), as it reduces the time-consuming process of gathering data.Repositório ComumBrás, Gonçalo Rodrigues2023-01-03T12:33:15Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/42930eng10.1016/j.dib.2022.108818info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-20T12:15:12Zoai:comum.rcaap.pt:10400.26/42930Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:29:36.205144Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use |
title |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use |
spellingShingle |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use Brás, Gonçalo Rodrigues Innovation Innovation data Income level National innovation systems Panel data |
title_short |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use |
title_full |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use |
title_fullStr |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use |
title_full_unstemmed |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use |
title_sort |
Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use |
author |
Brás, Gonçalo Rodrigues |
author_facet |
Brás, Gonçalo Rodrigues |
author_role |
author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Brás, Gonçalo Rodrigues |
dc.subject.por.fl_str_mv |
Innovation Innovation data Income level National innovation systems Panel data |
topic |
Innovation Innovation data Income level National innovation systems Panel data |
description |
It is widely known that the Global Innovation Index reports are of unique value for research purposes. The aim of this work is to provide a panel data file with all pillars of the Global Innovation Index from 2011 until 2022, covering all available economies (149 in total) by income level. After the secondary data was gathered, it was reshaped in an exhaustive process that involved directly importing it from databases or manual insertion. Based on successive Global Innovation Index reports and World Bank data, this work attempts to provide a whole set of data on the incomes of world economies by using Gross Domestic Product per capita based on purchasing power parity (constant 2017 international $ and current international $) and Gross National Income per capita in current U.S. dollars (Atlas method). A descriptive analysis is also provided of data and inferences drawn based on the income differences between economies. The data compilation shared here has a singular relevance as it makes a large amount of structured information easier to access. Moreover, data from subsequent years or even from new entries of economies in the Global Innovation Index reports could be added to the data file. As a practical implication, this work should be considered a reliable tool for quantitative research directly or indirectly related with innovation topics (policies, ecosystems, technologies, programmes, among others), as it reduces the time-consuming process of gathering data. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-01-03T12:33:15Z 2023 2023-01-01T00:00:00Z |
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://hdl.handle.net/10400.26/42930 |
url |
http://hdl.handle.net/10400.26/42930 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1016/j.dib.2022.108818 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799130753882128384 |