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dc.contributor.authorAarstad, Jarle
dc.contributor.authorJakobsen, Stig Erik
dc.contributor.authorKvitastein, Olav Andreas
dc.date.accessioned2023-04-12T07:28:54Z
dc.date.available2023-04-12T07:28:54Z
dc.date.created2023-02-23T09:56:44Z
dc.date.issued2023
dc.identifier.citationAarstad, J., Jakobsen, S.-E., & Kvitastein, O. A. (2023). R&D investments and employment decisions as a function of enterprise size and regional population density before and during COVID-19. Frontiers in Research Metrics and Analytics, 8:1107309.en_US
dc.identifier.issn2504-0537
dc.identifier.urihttps://hdl.handle.net/11250/3062512
dc.description.abstractNorwegian data show that from 2018 to 2020, enterprises in densely populated regions increased R&D investments relative to those in sparsely populated regions, but not from 2016 to 2018. Therefore, COVID-19 likely induced the shift. The findings imply that densely populated regions have become more R&D-intensive, while sparsely populated regions have become less R&D-intensive during the pandemic. Small enterprises increased both R&D investments and employment from 2018 to 2020 relative to large enterprises and the analyses control for regression toward the mean effects. The findings were similar to those observed in the period from 2016 to 2018, which rules out COVID-19 as an explanation. Instead, the waves of data indicate a long-term trend where small enterprises increased R&D investments and employment.en_US
dc.language.isoengen_US
dc.publisherFrontiers Mediaen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleR&D investments and employment decisions as a function of enterprise size and regional population density before and during COVID-19en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 Aarstad, Jakobsen and Kvitastein.en_US
dc.source.volume8en_US
dc.source.journalFrontiers in Research Metrics and Analyticsen_US
dc.identifier.doi10.3389/frma.2023.1107309
dc.identifier.cristin2128470
dc.source.articlenumber1107309en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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