Explaining differences in the returns to R&D in Argentina: the role of contextual factors

Autores
Arza, Valeria; Cirera, Xavier; Lopez, Emanuel; Colonna, Agustina
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Argentinean firms’ investments in R&D are well below its regional peers. One potential explanation for this fact is the existence of low and heterogeneous returns for these investments. This paper uses novel microdata to estimate the returns to R&D and analyse the role of contextual factors in shaping its heterogeneity. The findings confirm that returns are indeed heterogeneous and depend on some important factors related to the market context, such as measures of uncertainty; and the knowledge context, such as knowledge spillovers. Acknowledging that heterogeneity of returns depends on firms’ context is crucial for designing innovation policies to boost private R&D returns.
Fil: Arza, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; Argentina
Fil: Cirera, Xavier. The World Bank; Estados Unidos
Fil: Lopez, Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; Argentina
Fil: Colonna, Agustina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; Argentina
Materia
ARGENTINA
KNOWLEDGE CONTEXT
MARKET CONTEXT
PRODUCTIVITY
R&D
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/200439
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Explaining differences in the returns to R&D in Argentina: the role of contextual factorsArza, ValeriaCirera, XavierLopez, EmanuelColonna, AgustinaARGENTINAKNOWLEDGE CONTEXTMARKET CONTEXTPRODUCTIVITYR&Dhttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5Argentinean firms’ investments in R&D are well below its regional peers. One potential explanation for this fact is the existence of low and heterogeneous returns for these investments. This paper uses novel microdata to estimate the returns to R&D and analyse the role of contextual factors in shaping its heterogeneity. The findings confirm that returns are indeed heterogeneous and depend on some important factors related to the market context, such as measures of uncertainty; and the knowledge context, such as knowledge spillovers. Acknowledging that heterogeneity of returns depends on firms’ context is crucial for designing innovation policies to boost private R&D returns.Fil: Arza, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; ArgentinaFil: Cirera, Xavier. The World Bank; Estados UnidosFil: Lopez, Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; ArgentinaFil: Colonna, Agustina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; ArgentinaTaylor & Francis2022-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/200439Arza, Valeria; Cirera, Xavier; Lopez, Emanuel; Colonna, Agustina; Explaining differences in the returns to R&D in Argentina: the role of contextual factors; Taylor & Francis; Economics of Innovation and New Technology; 2022; 1-2022; 1-321043-8599CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/10438599.2021.2024075info:eu-repo/semantics/altIdentifier/doi/10.1080/10438599.2021.2024075info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:29:06Zoai:ri.conicet.gov.ar:11336/200439instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:29:06.956CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Explaining differences in the returns to R&D in Argentina: the role of contextual factors
title Explaining differences in the returns to R&D in Argentina: the role of contextual factors
spellingShingle Explaining differences in the returns to R&D in Argentina: the role of contextual factors
Arza, Valeria
ARGENTINA
KNOWLEDGE CONTEXT
MARKET CONTEXT
PRODUCTIVITY
R&D
title_short Explaining differences in the returns to R&D in Argentina: the role of contextual factors
title_full Explaining differences in the returns to R&D in Argentina: the role of contextual factors
title_fullStr Explaining differences in the returns to R&D in Argentina: the role of contextual factors
title_full_unstemmed Explaining differences in the returns to R&D in Argentina: the role of contextual factors
title_sort Explaining differences in the returns to R&D in Argentina: the role of contextual factors
dc.creator.none.fl_str_mv Arza, Valeria
Cirera, Xavier
Lopez, Emanuel
Colonna, Agustina
author Arza, Valeria
author_facet Arza, Valeria
Cirera, Xavier
Lopez, Emanuel
Colonna, Agustina
author_role author
author2 Cirera, Xavier
Lopez, Emanuel
Colonna, Agustina
author2_role author
author
author
dc.subject.none.fl_str_mv ARGENTINA
KNOWLEDGE CONTEXT
MARKET CONTEXT
PRODUCTIVITY
R&D
topic ARGENTINA
KNOWLEDGE CONTEXT
MARKET CONTEXT
PRODUCTIVITY
R&D
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Argentinean firms’ investments in R&D are well below its regional peers. One potential explanation for this fact is the existence of low and heterogeneous returns for these investments. This paper uses novel microdata to estimate the returns to R&D and analyse the role of contextual factors in shaping its heterogeneity. The findings confirm that returns are indeed heterogeneous and depend on some important factors related to the market context, such as measures of uncertainty; and the knowledge context, such as knowledge spillovers. Acknowledging that heterogeneity of returns depends on firms’ context is crucial for designing innovation policies to boost private R&D returns.
Fil: Arza, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; Argentina
Fil: Cirera, Xavier. The World Bank; Estados Unidos
Fil: Lopez, Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; Argentina
Fil: Colonna, Agustina. Universidad Nacional de San Martin. Escuela de Economia y Negocios. Centro de Investigaciones Para la Transformacion.; Argentina
description Argentinean firms’ investments in R&D are well below its regional peers. One potential explanation for this fact is the existence of low and heterogeneous returns for these investments. This paper uses novel microdata to estimate the returns to R&D and analyse the role of contextual factors in shaping its heterogeneity. The findings confirm that returns are indeed heterogeneous and depend on some important factors related to the market context, such as measures of uncertainty; and the knowledge context, such as knowledge spillovers. Acknowledging that heterogeneity of returns depends on firms’ context is crucial for designing innovation policies to boost private R&D returns.
publishDate 2022
dc.date.none.fl_str_mv 2022-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/200439
Arza, Valeria; Cirera, Xavier; Lopez, Emanuel; Colonna, Agustina; Explaining differences in the returns to R&D in Argentina: the role of contextual factors; Taylor & Francis; Economics of Innovation and New Technology; 2022; 1-2022; 1-32
1043-8599
CONICET Digital
CONICET
url http://hdl.handle.net/11336/200439
identifier_str_mv Arza, Valeria; Cirera, Xavier; Lopez, Emanuel; Colonna, Agustina; Explaining differences in the returns to R&D in Argentina: the role of contextual factors; Taylor & Francis; Economics of Innovation and New Technology; 2022; 1-2022; 1-32
1043-8599
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/10438599.2021.2024075
info:eu-repo/semantics/altIdentifier/doi/10.1080/10438599.2021.2024075
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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