Knowledge base combinations and firm growth

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11640/19:00504796

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Knowledge base combinations and firm growth

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Knowledge base combinations and firm growth

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

<a href="/cs/project/GA17-09265S" target="_blank" >GA17-09265S: Hranice empirického výzkumu veřejného financování podnikového VaV a inovací</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Research Policy

ISSN

0048-7333

e-ISSN

—

Svazek periodika

48

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

234-247

Kód UT WoS článku

000454466400017

EID výsledku v databázi Scopus

2-s2.0-85052820967