Related variety, recombinant knowledge and regional innovation. Evidence for Sweden, 1991-2010
Martynovich, Mikhail LU
and Taalbi, Josef
LU
(2020)
In Papers in evolutionary economic geography
20(15).
- Abstract
- This study investigates how related variety in the regional employment mix affects the innovation output of a region. Departing from the idea of recombinant innovation, previous research has arguedthat related variety enhances regional innovation as inter-industry knowledge spillovers occur more easily between different but cognitively similar industries. This study combines a novel dataset and related variety measures based on network theory, which allows a more nuanced perspective on the relationship between related variety and regional innovation.The principal novelty of the paper lies in employing new data on product innovations commercialised by Swedish manufacturing firms between 1970 and 2013. In... (More)
- This study investigates how related variety in the regional employment mix affects the innovation output of a region. Departing from the idea of recombinant innovation, previous research has arguedthat related variety enhances regional innovation as inter-industry knowledge spillovers occur more easily between different but cognitively similar industries. This study combines a novel dataset and related variety measures based on network theory, which allows a more nuanced perspective on the relationship between related variety and regional innovation.The principal novelty of the paper lies in employing new data on product innovations commercialised by Swedish manufacturing firms between 1970 and 2013. In this respect, it allows a direct measure of regionalinnovation output as compared to patent measures, usually employed in similar studies. The second contribution of this paper is that we employ network-topologybased measuresof related variety that allowus to measure relatedness as the recombination rather than direct flow of knowledge. We argue that this measure comes closer to the notion of innovation as spurred by recombination and show that this measure is a superior predictor of innovation activity. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/af1411f3-7618-40e2-8c70-076e326646f0
- author
- Martynovich, Mikhail
LU
and Taalbi, Josef
LU
- organization
- publishing date
- 2020
- type
- Working paper/Preprint
- publication status
- published
- subject
- keywords
- Related variety, Relatedness, Innovation, Network analysis
- in
- Papers in evolutionary economic geography
- volume
- 20
- issue
- 15
- pages
- 33 pages
- publisher
- Papers in Evolutionary Economic Geography, Urban & Regional Research Centre Utrecht, Utrecht University
- language
- English
- LU publication?
- yes
- id
- af1411f3-7618-40e2-8c70-076e326646f0
- alternative location
- http://econ.geo.uu.nl/peeg/peeg2015.pdf
- date added to LUP
- 2020-03-29 13:14:50
- date last changed
- 2020-03-31 02:21:32
@misc{af1411f3-7618-40e2-8c70-076e326646f0,
abstract = {{This study investigates how related variety in the regional employment mix affects the innovation output of a region. Departing from the idea of recombinant innovation, previous research has arguedthat related variety enhances regional innovation as inter-industry knowledge spillovers occur more easily between different but cognitively similar industries. This study combines a novel dataset and related variety measures based on network theory, which allows a more nuanced perspective on the relationship between related variety and regional innovation.The principal novelty of the paper lies in employing new data on product innovations commercialised by Swedish manufacturing firms between 1970 and 2013. In this respect, it allows a direct measure of regionalinnovation output as compared to patent measures, usually employed in similar studies. The second contribution of this paper is that we employ network-topologybased measuresof related variety that allowus to measure relatedness as the recombination rather than direct flow of knowledge. We argue that this measure comes closer to the notion of innovation as spurred by recombination and show that this measure is a superior predictor of innovation activity.}},
author = {{Martynovich, Mikhail and Taalbi, Josef}},
keywords = {{Related variety; Relatedness; Innovation; Network analysis}},
language = {{eng}},
note = {{Working Paper}},
number = {{15}},
publisher = {{Papers in Evolutionary Economic Geography, Urban & Regional Research Centre Utrecht, Utrecht University}},
series = {{Papers in evolutionary economic geography}},
title = {{Related variety, recombinant knowledge and regional innovation. Evidence for Sweden, 1991-2010}},
url = {{http://econ.geo.uu.nl/peeg/peeg2015.pdf}},
volume = {{20}},
year = {{2020}},
}