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dc.contributor.authorGómez Bengoechea, Gonzaloes-ES
dc.contributor.authorJung Luisardo, Juan Felipees-ES
dc.date.accessioned2024-03-15T09:00:48Z-
dc.date.available2024-03-15T09:00:48Z-
dc.date.issued2024-03-04es_ES
dc.identifier.issn0160-791Xes_ES
dc.identifier.urihttps://doi.org/10.1016/j.techsoc.2023.102423es_ES
dc.identifier.urihttp://hdl.handle.net/11531/87772-
dc.descriptionArtículos en revistases_ES
dc.description.abstract.es-ES
dc.description.abstractThis paper explores the relationship between Information and Communication Technologies (ICT) diffusion and labor productivity at the firm level. We propose a model that explains labor productivity based on firm-specific characteristics (sector, size, location and year fixed effects), on the level of diffusion of digital technologies, and on human capital. We use quantile regression techniques to gain a more precise understanding of the association between ICT's diffusion and labor productivity for a heterogeneous firm landscape. Our results show that more productive firms are able to extract higher gains from digitalization than low productive ones, which exacerbates productivity differences between them. This requires from a tailor-made policy agenda to promote firm convergence, focused on helping firms to extract the most of digitalization.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: Technology in Society, Periodo: 1, Volumen: 76, Número: 102423, Página inicial: 1, Página final: 15es_ES
dc.titleThe Matthew effect: Evidence on firms’ digitalization distributional effectses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderPolítica editoriales_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywords.es-ES
dc.keywordsDigitalizationFirm performanceUnconditional quantile regressionsen-GB
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