Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use
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...
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Format: | Article |
Language: | English |
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Elsevier
2023-02-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922010216 |
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author | Gonçalo Rodrigues Brás |
author_facet | Gonçalo Rodrigues Brás |
author_sort | Gonçalo Rodrigues Brás |
collection | DOAJ |
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. |
first_indexed | 2024-04-10T18:54:24Z |
format | Article |
id | doaj.art-2e27c01deb054b53bfc69e64e443ca54 |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-04-10T18:54:24Z |
publishDate | 2023-02-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-2e27c01deb054b53bfc69e64e443ca542023-02-01T04:26:14ZengElsevierData in Brief2352-34092023-02-0146108818Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ useGonçalo Rodrigues Brás0IN+, LARSyS, Center for Innovation, Technology and Policy Research, ‘Instituto Superior Técnico’, ‘Universidade de Lisboa’, Lisbon, Portugal; Centre for Business and Economics Research (CeBER), Faculty of Economics, University of Coimbra, Coimbra, Portugal; ISLA - Instituto Superior de Gestão e Administração de Santarém, Santarém, Portugal; DEGEIT, University of Aveiro, Aveiro, Portugal; DINÂMIA'CET-Iscte, Centre for Socioeconomic and Territorial Studies, Lisbon, PortugalIt 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.http://www.sciencedirect.com/science/article/pii/S2352340922010216InnovationInnovation dataIncome levelNational innovation systemsPanel data |
spellingShingle | Gonçalo Rodrigues Brás Pillars of the Global Innovation Index by income level of economies: longitudinal data (2011-2022) for researchers’ use Data in Brief Innovation Innovation data Income level National innovation systems Panel data |
title | 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_short | 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 |
topic | Innovation Innovation data Income level National innovation systems Panel data |
url | http://www.sciencedirect.com/science/article/pii/S2352340922010216 |
work_keys_str_mv | AT goncalorodriguesbras pillarsoftheglobalinnovationindexbyincomelevelofeconomieslongitudinaldata20112022forresearchersuse |