Dynamic recombinant relatedness and its role for regional innovation

Mikhail Martynovich; Josef Taalbi

doi:10.1080/09654313.2022.2121154

Dynamic recombinant relatedness and its role for regional innovation

Research output: Contribution to journal › Article › peer-review

Abstract

Previous research has argued that related variety enhances regional innovation as inter-industry knowledge spillovers occur more easily between cognitively similar industries. In this study, we engage with empirical operationalization of what is ‘related’ in related variety. We argue, based on theoretical grounds, that estimating regional knowledge production functions requires related variety measures that capture the recombination of knowledge explicitly. To test this proposition, we develop a set of related variety indicators that account for indirect linkages between industries and allow these linkages to vary over time. Empirically, we estimate the relationship between regional innovation output and regional industry mix in Swedish regions between 1991 and 2010. Our results suggest that related variety measures based on dynamic recombinant relatedness are superior in predicting regional innovation output.

Original language	English
Pages (from-to)	1070-1094
Number of pages	25
Journal	European Planning Studies
Volume	31
Issue number	5
Early online date	2022 Sept 13
DOIs	https://doi.org/10.1080/09654313.2022.2121154
Publication status	Published - 2023

Subject classification (UKÄ)

Economic History
Human Geography

Free keywords

Related variety
Relatedness
Knowledge recombination
Innovation
Network analysis
Sweden
L16
O31
R11
R12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/09654313.2022.2121154Licence: CC BY

SWINNO 3.0 Significant Swedish technological Innovations from 1970 until now
Taalbi, J. (PI), Chaminade, C. (Researcher), Fink, J. (Researcher), Hylmö, A. (Researcher), Kander, A. (Researcher), Kreutzer, P. J. (Researcher), Torregrosa Hetland, S. (Researcher), van der Most, F. (Research engineer), Kilicaslan, A. (Research assistant), Krumova, R. (Research assistant) & Nyqvist, J. (Research assistant)
Swedish Government Agency for Innovation Systems (Vinnova)
2020/03/06 → 2025/01/30
Project: Research

Cite this

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title = "Dynamic recombinant relatedness and its role for regional innovation",

abstract = "Previous research has argued that related variety enhances regional innovation as inter-industry knowledge spillovers occur more easily between cognitively similar industries. In this study, we engage with empirical operationalization of what is {\textquoteleft}related{\textquoteright} in related variety. We argue, based on theoretical grounds, that estimating regional knowledge production functions requires related variety measures that capture the recombination of knowledge explicitly. To test this proposition, we develop a set of related variety indicators that account for indirect linkages between industries and allow these linkages to vary over time. Empirically, we estimate the relationship between regional innovation output and regional industry mix in Swedish regions between 1991 and 2010. Our results suggest that related variety measures based on dynamic recombinant relatedness are superior in predicting regional innovation output.",

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T1 - Dynamic recombinant relatedness and its role for regional innovation

AU - Martynovich, Mikhail

AU - Taalbi, Josef

PY - 2023

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AB - Previous research has argued that related variety enhances regional innovation as inter-industry knowledge spillovers occur more easily between cognitively similar industries. In this study, we engage with empirical operationalization of what is ‘related’ in related variety. We argue, based on theoretical grounds, that estimating regional knowledge production functions requires related variety measures that capture the recombination of knowledge explicitly. To test this proposition, we develop a set of related variety indicators that account for indirect linkages between industries and allow these linkages to vary over time. Empirically, we estimate the relationship between regional innovation output and regional industry mix in Swedish regions between 1991 and 2010. Our results suggest that related variety measures based on dynamic recombinant relatedness are superior in predicting regional innovation output.

KW - Related variety

KW - Relatedness

KW - Knowledge recombination

KW - Innovation

KW - Network analysis

KW - Sweden

KW - L16

KW - O31

KW - R11

KW - R12

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EP - 1094

JO - European Planning Studies

JF - European Planning Studies

IS - 5

ER -

Dynamic recombinant relatedness and its role for regional innovation

Abstract

Subject classification (UKÄ)

Free keywords

UN SDGs

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Projects

SWINNO 3.0 Significant Swedish technological Innovations from 1970 until now

Cite this