Analysis of the Brazilian tax incentives to innovation and patent data: a Principal-Agent model approach
We propose to evaluate Lei do Bem (law 11.196/05) for Brazilian regions (North, Northeast, Center-West, Southeast and South). This is the first study that analyzes Lei do Bem using extensive game simulations for the different regions of the country. Based on data from 2006 to 2015, we find moral ha...
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Universidad Católica de Colombia
2021-08-01
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Online Access: | https://revfinypolecon.ucatolica.edu.co/article/view/3424 |
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doaj-1dc66e4b3b8f49b0b4d96127ddf828372021-09-09T01:17:03ZspaUniversidad Católica de ColombiaRevista Finanzas y Política Económica2248-60462011-76632021-08-01132Analysis of the Brazilian tax incentives to innovation and patent data: a Principal-Agent model approachFelippe ClementeEvaldo Henrique da Silva We propose to evaluate Lei do Bem (law 11.196/05) for Brazilian regions (North, Northeast, Center-West, Southeast and South). This is the first study that analyzes Lei do Bem using extensive game simulations for the different regions of the country. Based on data from 2006 to 2015, we find moral hazard between government and innovative Brazilian companies, as there was no express incentive in the Lei do Bem to stimulate the industrial sector to innovate and register the innovation as a patent. Thus, policies that review the tax incentives structure contained in the Lei do Bem as well as encourage industries and companies to file patents in public patent databases may have positive effects on the Brazilian innovation system. https://revfinypolecon.ucatolica.edu.co/article/view/3424“Lei do Bem”Principal-Agent modelInnovation |
collection |
DOAJ |
language |
Spanish |
format |
Article |
sources |
DOAJ |
author |
Felippe Clemente Evaldo Henrique da Silva |
spellingShingle |
Felippe Clemente Evaldo Henrique da Silva Analysis of the Brazilian tax incentives to innovation and patent data: a Principal-Agent model approach Revista Finanzas y Política Económica “Lei do Bem” Principal-Agent model Innovation |
author_facet |
Felippe Clemente Evaldo Henrique da Silva |
author_sort |
Felippe Clemente |
title |
Analysis of the Brazilian tax incentives to innovation and patent data: a Principal-Agent model approach |
title_short |
Analysis of the Brazilian tax incentives to innovation and patent data: a Principal-Agent model approach |
title_full |
Analysis of the Brazilian tax incentives to innovation and patent data: a Principal-Agent model approach |
title_fullStr |
Analysis of the Brazilian tax incentives to innovation and patent data: a Principal-Agent model approach |
title_full_unstemmed |
Analysis of the Brazilian tax incentives to innovation and patent data: a Principal-Agent model approach |
title_sort |
analysis of the brazilian tax incentives to innovation and patent data: a principal-agent model approach |
publisher |
Universidad Católica de Colombia |
series |
Revista Finanzas y Política Económica |
issn |
2248-6046 2011-7663 |
publishDate |
2021-08-01 |
description |
We propose to evaluate Lei do Bem (law 11.196/05) for Brazilian regions (North, Northeast, Center-West, Southeast and South). This is the first study that analyzes Lei do Bem using extensive game simulations for the different regions of the country. Based on data from 2006 to 2015, we find moral hazard between government and innovative Brazilian companies, as there was no express incentive in the Lei do Bem to stimulate the industrial sector to innovate and register the innovation as a patent. Thus, policies that review the tax incentives structure contained in the Lei do Bem as well as encourage industries and companies to file patents in public patent databases may have positive effects on the Brazilian innovation system.
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topic |
“Lei do Bem” Principal-Agent model Innovation |
url |
https://revfinypolecon.ucatolica.edu.co/article/view/3424 |
work_keys_str_mv |
AT felippeclemente analysisofthebraziliantaxincentivestoinnovationandpatentdataaprincipalagentmodelapproach AT evaldohenriquedasilva analysisofthebraziliantaxincentivestoinnovationandpatentdataaprincipalagentmodelapproach |
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