Public Support for Innovation: Changes in Turnover of Granted Companies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F22%3A00129182" target="_blank" >RIV/00216224:14560/22:00129182 - isvavai.cz</a>
Result on the web
<a href="https://sciendo.com/article/10.2478/bsrj-2022-0008" target="_blank" >https://sciendo.com/article/10.2478/bsrj-2022-0008</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/bsrj-2022-0008" target="_blank" >10.2478/bsrj-2022-0008</a>
Alternative languages
Result language
angličtina
Original language name
Public Support for Innovation: Changes in Turnover of Granted Companies
Original language description
Background: Innovation policy supports innovation in companies, as it is crucial for economic, social and environmental development. Objectives: The research aims to verify whether companies that have received public support for innovation are experiencing turnover growth. Methods/Approach: The research is carried out on the example of the Czech Innovation Programme, and the analysis included 276 projects in the manufacturing industry. The study compares the turnover of enterprises one year before receiving the aid and two years after the granting. The analysis is performed regarding the size of companies, industries and regions. Results: When the companies are assessed at the median level, the largest turnover growth was found in the category of small enterprises. Regarding industry, the largest increase was recorded in NACE sections 22, 27, 26, 29 and 30. The lowest increase in turnover was recorded for enterprises in sections 21, 23, 24 and 28. Differences in turnover growth were also observed across regions. Conclusions: Providing support for innovation contributes to the growth of turnover. A larger share of public aid should be allocated to the category of small and medium-sized enterprises and knowledge-intensive industries.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
<a href="/en/project/GA20-03037S" target="_blank" >GA20-03037S: Towards a dynamic knowledge-based business model for open innovations</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Business Systems Research Journal
ISSN
1847-8344
e-ISSN
1847-9375
Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
PL - POLAND
Number of pages
18
Pages from-to
120-137
UT code for WoS article
000868351200008
EID of the result in the Scopus database
2-s2.0-85140320657