Knowledge base combinations and innovation performance in Swedish regions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F17%3A00481477" target="_blank" >RIV/67985998:_____/17:00481477 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11640/17:00483651

Výsledek na webu

<a href="http://dx.doi.org/10.1080/00130095.2016.1154442" target="_blank" >http://dx.doi.org/10.1080/00130095.2016.1154442</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/00130095.2016.1154442" target="_blank" >10.1080/00130095.2016.1154442</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Knowledge base combinations and innovation performance in Swedish regions

Popis výsledku v původním jazyce

The literature on geography of innovation suggests that innovation outcomes depend on a diversity of knowledge inputs, which can be captured with the differentiated knowledge base approach. While knowledge bases are distinct theoretical categories, existing studies stress that innovation often involves combinations of analytical, synthetic, and symbolic knowledge. It remains unclear, though, which combinations are most conducive to innovation at the level of the firm and how this is influenced by the knowledge bases available in the region. This article fills this gap by reviewing the conceptual arguments on how and why certain firm and regional knowledge base combinations relate to firm innovativeness and by investigating these relationships econometrically. The knowledge base is captured using detailed occupational data derived from linked employer–employee data sets merged at the firm level with information from Community Innovation Surveys in Sweden. The results indicate that analytical knowledge outweighs the importance of synthetic and symbolic knowledge and that, however, firms benefit most from being located in a region with a balanced mix of all three knowledge bases.

Název v anglickém jazyce

Knowledge base combinations and innovation performance in Swedish regions

Popis výsledku anglicky

The literature on geography of innovation suggests that innovation outcomes depend on a diversity of knowledge inputs, which can be captured with the differentiated knowledge base approach. While knowledge bases are distinct theoretical categories, existing studies stress that innovation often involves combinations of analytical, synthetic, and symbolic knowledge. It remains unclear, though, which combinations are most conducive to innovation at the level of the firm and how this is influenced by the knowledge bases available in the region. This article fills this gap by reviewing the conceptual arguments on how and why certain firm and regional knowledge base combinations relate to firm innovativeness and by investigating these relationships econometrically. The knowledge base is captured using detailed occupational data derived from linked employer–employee data sets merged at the firm level with information from Community Innovation Surveys in Sweden. The results indicate that analytical knowledge outweighs the importance of synthetic and symbolic knowledge and that, however, firms benefit most from being located in a region with a balanced mix of all three knowledge bases.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Economic Geography

ISSN

0013-0095

e-ISSN

—

Svazek periodika

93

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

22

Strana od-do

458-479

Kód UT WoS článku

000418681300003

EID výsledku v databázi Scopus

2-s2.0-84981508152