A multi-sector model of relatedness, growth and industry clustering

Steven C. Bond-Smith*, Philip Mccann

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1145-1163
Number of pages19
JournalJournal of Economic Geography
Volume20
Issue number5
DOIs
Publication statusPublished - 1 Sept 2020

Keywords

  • clusters
  • endogenous growth
  • innovation
  • knowledge spillovers
  • O41
  • R11
  • relatedness

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