279
Views
7
CrossRef citations to date
0
Altmetric
Economic and urban development

Local strategies and networks as keys for reversing urban shrinkage: Challenges and responses in two medium-size Spanish cities

Pages 238-247 | Received 16 May 2013, Accepted 31 Mar 2014, Published online: 23 Jun 2014
 

Abstract

The article examines the role of ‘local paths’ and ‘substrates’ (networks, stakeholders, and human and economic capital) in the revitalization strategies of shrinking cities. Relationships between local stakeholders as well as their initiatives to revitalize declining cities determine not only future decision-making but also the demographic, economic, environmental, and social evolution of those cities. The article analyses two medium-sized declining cities in the old industrial region of Asturias, Spain. After a presentation of the processes that led to the studied cities' rise and decline, their revitalization strategies are analysed and interpreted on the basis of the local stakeholders' role. In these cities, the impact of local factors may largely explain the uneven evolutionary path in each city following crisis in their respective leading industries.

Acknowledgements

The author is most grateful for the cooperation and contribution of the 30 local stakeholders interviewed in Langreo and Avilés. Special thanks are due to Ricardo Méndez for his comments on a draft of this article. The article has been strengthened by helpful and detailed comments from two anonymous reviewers.

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 111.00 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.