Knowledge base combinations and firm growth
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F19%3A00517851" target="_blank" >RIV/67985998:_____/19:00517851 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11640/19:00504796
Result on the web
<a href="https://doi.org/10.1016/j.respol.2018.08.009" target="_blank" >https://doi.org/10.1016/j.respol.2018.08.009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.respol.2018.08.009" target="_blank" >10.1016/j.respol.2018.08.009</a>
Alternative languages
Result language
angličtina
Original language name
Knowledge base combinations and firm growth
Original language description
The link between knowledge and firm growth has been a core topic in economics of innovation for a long time. However, despite strong theoretical arguments, empirical evidence remains inconclusive. One important reason for this conundrum may be the failure of standard indicators to capture firm innovation activities comprehensively. We contribute to overcoming this limitation by looking in the knowledge processes that drive variegated forms of innovation and aim thereby to establish a solid relationship with firm growth in more detail. Our arguments draw on the differentiated knowledge base approach, distinguishing between analytical, synthetic, and symbolic knowledge. We measure the three types of knowledge bases with detailed longitudinal linked-employer-employee micro-data from Sweden. Econometric findings based on a very large sample of small and medium-sized firms indicate significantly positive effects of the three knowledge types, and in particular combinations thereof, on firm growth. In addition, we show that not only high-growth but also slow-growth firms benefit immensely from the use of combinatory knowledge bases. We find evidence on a curvilinear relation between knowledge bases and growth of firms. Beyond certain thresholds increasing the knowledge bases further results in decreasing firm growth. Our results remain robust in a wide range of specifications and econometric models.
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/GA17-09265S" target="_blank" >GA17-09265S: Frontiers of empirical research on public financing of business R&D and innovation</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Research Policy
ISSN
0048-7333
e-ISSN
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Volume of the periodical
48
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
234-247
UT code for WoS article
000454466400017
EID of the result in the Scopus database
2-s2.0-85052820967