Knowledge base combinations and innovation performance in Swedish regions

Result code in 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>

Alternative codes found

RIV/00216208:11640/17:00483651

Result on the web

<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>

Result language

angličtina

Original language name

Knowledge base combinations and innovation performance in Swedish regions

Original language description

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.

Czech name

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Czech description

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Type

J_imp - 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

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

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

Name of the periodical

Economic Geography

ISSN

0013-0095

e-ISSN

—

Volume of the periodical

93

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

22

Pages from-to

458-479

UT code for WoS article

000418681300003

EID of the result in the Scopus database

2-s2.0-84981508152