455
Views
6
CrossRef citations to date
0
Altmetric
Articles

Learning City Regions: Theory and Practice in Private and Public Sector Spatial Planning

Pages 423-439 | Published online: 21 May 2012
 

Abstract

In this article, it is argued that there are at least two different conceptual definitions of the learning region. The first sees them as localities that are spatially differentiated by capacities to collaborate and generate new economically valuable knowledge. The second sees them as an alternative policy prescription to overcome the persistent disadvantages of lagging regions. These different definitions lead to a lack of conceptual clarity in what empirical characteristics might count as a learning region. There is some agreement between them on the significance of knowledge networks as vehicles for the development of trust relations and the acquisition of tacit knowledge. In this context, the relationships between spatial planning and the development of soft and hard connectivity to facilitate networking are examined in the contrasting city-regions of Cambridge and Swansea. It is concluded that less favoured regions require demand-led increases in the proportions of innovative firms in order to accelerate their economic development based on learning region strategies.

Acknowledgements

The author would like to thank two anonymous referees for their constructive and helpful comments. Any faults that remain despite their best endeavours remain the responsibility of the author.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 396.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.