Which projects are selected for an innovation subsidy? The Portuguese case
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/20057 |
Resumo: | Several empirical studies have analyzed which firm characteristics influence government evaluators in the decision to select specific firms to participate in Research and Develop- ment and Innovation subsidy programs. However, few authors have provided a precise analysis about the selection process of applications submitted for public support. The aim of the present article is to assess differences in investment project characteristics (expected impact) between firms with approved and non-approved applications and to understand which kinds of projects are selected for a subsidy. The analysis is focused on the case study of applications submitted to the Portuguese Innovation Incentive System (SI Innovation) between 2007 and 2013. The impact variables under study are those used in the selection procedure to grant the firm a subsidy, namely the expected impact on exports, value creation, productivity, patent application and qualified employment. Using a counterfactual analysis and Propensity Score Matching estimators, the results show that firms with approved applications are those that expect to invest more and forecast a higher increase in exports and productivity as the result of the investment project. However, these firms in comparison with the control group (those with non-approved applications) have investment projects with a lower contribution to growth and lower economic efficiency (return on investment in terms of productivity). The conclusions of this study could be useful for policy-makers since it provides evidence about firms’ strategic choice concerning investment projects submitted for an Innovation subsidy. |
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Which projects are selected for an innovation subsidy? The Portuguese caseSubsidyInnovationSelection procedurePropensity score matchingSeveral empirical studies have analyzed which firm characteristics influence government evaluators in the decision to select specific firms to participate in Research and Develop- ment and Innovation subsidy programs. However, few authors have provided a precise analysis about the selection process of applications submitted for public support. The aim of the present article is to assess differences in investment project characteristics (expected impact) between firms with approved and non-approved applications and to understand which kinds of projects are selected for a subsidy. The analysis is focused on the case study of applications submitted to the Portuguese Innovation Incentive System (SI Innovation) between 2007 and 2013. The impact variables under study are those used in the selection procedure to grant the firm a subsidy, namely the expected impact on exports, value creation, productivity, patent application and qualified employment. Using a counterfactual analysis and Propensity Score Matching estimators, the results show that firms with approved applications are those that expect to invest more and forecast a higher increase in exports and productivity as the result of the investment project. However, these firms in comparison with the control group (those with non-approved applications) have investment projects with a lower contribution to growth and lower economic efficiency (return on investment in terms of productivity). The conclusions of this study could be useful for policy-makers since it provides evidence about firms’ strategic choice concerning investment projects submitted for an Innovation subsidy.SpringerRepositório da Universidade de LisboaSantos, AnabelaCincera, MicheleNeto, PauloSerrano, Maria Manuel2020-05-06T10:47:09Z2019-102019-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/20057engSantos, Anabela ... [et al.] (2019). "Which projects are selected for an innovation subsidy? The Portuguese case". Portuguese Economic Journal, 18(3):165-2021617-982X (Print)10.1007/s10258-019-00159-ymetadata only accessinfo: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:RCAAP2024-11-20T19:27:35Zoai:repositorio.ul.pt:10400.5/20057Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-20T19:27:35Repositório 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 |
Which projects are selected for an innovation subsidy? The Portuguese case |
title |
Which projects are selected for an innovation subsidy? The Portuguese case |
spellingShingle |
Which projects are selected for an innovation subsidy? The Portuguese case Santos, Anabela Subsidy Innovation Selection procedure Propensity score matching |
title_short |
Which projects are selected for an innovation subsidy? The Portuguese case |
title_full |
Which projects are selected for an innovation subsidy? The Portuguese case |
title_fullStr |
Which projects are selected for an innovation subsidy? The Portuguese case |
title_full_unstemmed |
Which projects are selected for an innovation subsidy? The Portuguese case |
title_sort |
Which projects are selected for an innovation subsidy? The Portuguese case |
author |
Santos, Anabela |
author_facet |
Santos, Anabela Cincera, Michele Neto, Paulo Serrano, Maria Manuel |
author_role |
author |
author2 |
Cincera, Michele Neto, Paulo Serrano, Maria Manuel |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Santos, Anabela Cincera, Michele Neto, Paulo Serrano, Maria Manuel |
dc.subject.por.fl_str_mv |
Subsidy Innovation Selection procedure Propensity score matching |
topic |
Subsidy Innovation Selection procedure Propensity score matching |
description |
Several empirical studies have analyzed which firm characteristics influence government evaluators in the decision to select specific firms to participate in Research and Develop- ment and Innovation subsidy programs. However, few authors have provided a precise analysis about the selection process of applications submitted for public support. The aim of the present article is to assess differences in investment project characteristics (expected impact) between firms with approved and non-approved applications and to understand which kinds of projects are selected for a subsidy. The analysis is focused on the case study of applications submitted to the Portuguese Innovation Incentive System (SI Innovation) between 2007 and 2013. The impact variables under study are those used in the selection procedure to grant the firm a subsidy, namely the expected impact on exports, value creation, productivity, patent application and qualified employment. Using a counterfactual analysis and Propensity Score Matching estimators, the results show that firms with approved applications are those that expect to invest more and forecast a higher increase in exports and productivity as the result of the investment project. However, these firms in comparison with the control group (those with non-approved applications) have investment projects with a lower contribution to growth and lower economic efficiency (return on investment in terms of productivity). The conclusions of this study could be useful for policy-makers since it provides evidence about firms’ strategic choice concerning investment projects submitted for an Innovation subsidy. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10 2019-10-01T00:00:00Z 2020-05-06T10:47:09Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/20057 |
url |
http://hdl.handle.net/10400.5/20057 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Santos, Anabela ... [et al.] (2019). "Which projects are selected for an innovation subsidy? The Portuguese case". Portuguese Economic Journal, 18(3):165-202 1617-982X (Print) 10.1007/s10258-019-00159-y |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817549524190625792 |