Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use

Detalhes bibliográficos
Autor(a) principal: Brás, Gonçalo Nuno Rodrigues
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/104157
https://doi.org/10.1016/j.dib.2022.108818
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.
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spelling Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ useIt 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.2022-12-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/104157http://hdl.handle.net/10316/104157https://doi.org/10.1016/j.dib.2022.108818eng23523409Brás, Gonçalo Nuno Rodriguesinfo: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:RCAAP2022-12-18T21:40:27Zoai:estudogeral.uc.pt:10316/104157Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:20:53.319271Repositório 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 Nuno Rodrigues
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 Nuno Rodrigues
author_facet Brás, Gonçalo Nuno Rodrigues
author_role author
dc.contributor.author.fl_str_mv Brás, Gonçalo Nuno Rodrigues
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 2022
dc.date.none.fl_str_mv 2022-12-12
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http://hdl.handle.net/10316/104157
https://doi.org/10.1016/j.dib.2022.108818
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https://doi.org/10.1016/j.dib.2022.108818
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