Bond-Smith, S.C. and McCann, P. (2020) A multi-sector model of relatedness, growth and industry clustering. Journal of Economic Geography, 20 (5). pp. 1145-1163. ISSN 1468-2702
Abstract
This article builds an understanding of regional innovation specialisation by developing a multi-sector model with endogenous growth through quality improving innovations and spillovers from related technologies. The model provides an approach to incorporate the relatedness literature within the mainstream theoretical frameworks of endogenous growth and economic geography. Each firm’s technology sector and the location of other firms play a role in each firm’s ability to improve its own technology. As a result, firms prefer to co-locate in technologically compatible clusters. Without relying on scale assumptions, the model for the first time coherently links related variety knowledge spillovers to mainstream urban economic frameworks and demonstrates that clustering is possible in both core and peripheral areas.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) (2019). Published by Oxford University Press. This is an author-produced version of a paper subsequently published in Journal of Economic Geography. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Innovation; endogenous growth; knowledge spillovers; relatedness; clusters |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 May 2020 15:25 |
Last Modified: | 23 Nov 2021 11:02 |
Status: | Published |
Publisher: | Oxford University Press (OUP) |
Refereed: | Yes |
Identification Number: | 10.1093/jeg/lbz031 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160247 |