Knowledge licensing in a model of R&D-driven endogenous growth
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F16%3A00462434" target="_blank" >RIV/00216208:11640/16:00462434 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1515/bejm-2015-0132" target="_blank" >http://dx.doi.org/10.1515/bejm-2015-0132</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/bejm-2015-0132" target="_blank" >10.1515/bejm-2015-0132</a>
Alternative languages
Result language
angličtina
Original language name
Knowledge licensing in a model of R&D-driven endogenous growth
Original language description
I model knowledge (patent) licensing and evaluate intellectual property regulation in an endogenous growth framework where the engine of growth is in-house R&D performed by high-tech firms. I show that high-tech firms innovate more and economic growth is higher when there is knowledge licensing, and when intellectual property regulation facilitates excludability of knowledge, than when knowledge is not excludable and there are knowledge spillovers among high-tech firms. However, the number of high-tech firms is lower, and welfare is not necessarily higher when there is knowledge licensing than when there are knowledge spillovers.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
The B.E. Journal of Macroeconomics
ISSN
1935-1690
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
25
Pages from-to
555-579
UT code for WoS article
000383406700008
EID of the result in the Scopus database
2-s2.0-84973869994