Dynamic recombinant relatedness and its role for regional innovation
Martynovich, Mikhail LU
and Taalbi, Josef
LU
(2023)
In European Planning Studies
31(5).
p.1070-1094
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5bff0677-b577-4e25-b68c-9ed41010dd2f
- author
- Martynovich, Mikhail
LU
and Taalbi, Josef
LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Related variety, Relatedness, Knowledge recombination, Innovation, Network analysis, Sweden, L16, O31, R11, R12
- in
- European Planning Studies
- volume
- 31
- issue
- 5
- pages
- 25 pages
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85138406347
- ISSN
- 1469-5944
- DOI
- 10.1080/09654313.2022.2121154
- project
- SWINNO 3.0 Significant Swedish technological Innovations from 1970 until now
- language
- English
- LU publication?
- yes
- id
- 5bff0677-b577-4e25-b68c-9ed41010dd2f
- date added to LUP
- 2022-08-31 09:54:03
- date last changed
- 2024-01-18 15:29:31
@article{5bff0677-b577-4e25-b68c-9ed41010dd2f,
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.}},
author = {{Martynovich, Mikhail and Taalbi, Josef}},
issn = {{1469-5944}},
keywords = {{Related variety; Relatedness; Knowledge recombination; Innovation; Network analysis; Sweden; L16; O31; R11; R12}},
language = {{eng}},
number = {{5}},
pages = {{1070--1094}},
publisher = {{Taylor & Francis}},
series = {{European Planning Studies}},
title = {{Dynamic recombinant relatedness and its role for regional innovation}},
url = {{http://dx.doi.org/10.1080/09654313.2022.2121154}},
doi = {{10.1080/09654313.2022.2121154}},
volume = {{31}},
year = {{2023}},
}