Nested Methodological Approaches for Cluster Policy Evaluation: An Application to the Basque Country

Mari Jos� Aranguren, Xabier De La Maza (), Mario Davide Parrilli, Ferran Vendrell-Herrero and James Wilson

Regional Studies, 2014, vol. 48, issue 9, 1547-1562

Abstract: Aranguren M. J., de la Maza X., Parrilli M. D., Vendrell-Herrero F. and Wilson J. R. Nested methodological approaches for cluster policy evaluation: an application to the Basque Country, Regional Studies . This paper explores the evaluation of cluster policies designed to support cooperation and networking. It examines the case of the long-running Basque policy, where support is provided for 'cluster associations'. It first examines empirically the effects of the cluster associations on firm productivity performance, alongside other variables including agglomeration and firm behavioural characteristics. The results provide some weak evidence for the existence of additionality associated with the policy. This empirical work is complemented with context-specific knowledge of the policy in question to show that the nesting of both empirical and contextual approaches is crucial for effectively evaluating such policies.

Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://hdl.handle.net/10.1080/00343404.2012.750423 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:regstd:v:48:y:2014:i:9:p:1547-1562

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CRES20

DOI: 10.1080/00343404.2012.750423

Access Statistics for this article

Regional Studies is currently edited by Ivan Turok

More articles in Regional Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().