Learning from Clusters A Critical Assessment from an Economic-Geographical Perspective /

Jan Lambooy retired in October 2002. When Jan was asked how he wanted to celebrate this occasion, he was adamant that no great festivities should take place. Characteristically, Jan wanted just a scientific conference so he “could learn something from it” and, as he insisted, no great festivities. S...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Boschma, Ron A. (Επιμελητής έκδοσης), Kloosterman, Robert C. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands, 2005.
Σειρά:The GeoJournal Library, 80
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • The ‘Cluster’ Model
  • A Systematic Perspective on Local Development
  • Cluster Dynamics
  • Embedded Local Growth: A Theory Taken too Far?
  • Beyond the Learning Region: The Dialectics of Innovation and Culture in Territorial Development
  • Economic Development, Institutions and Trust
  • Social Capital and Regional Development: An Empirical Analysis of the Third Italy
  • Regional Innovation Systems, Varieties of Capitalism and Non-Local Relations: Challenges from the Globalising Economy
  • Delirious Rotterdam: The Formation of an Innovative Cluster of Architectural Firms
  • Competitiveness in Regional Clusters. The Case of Océ's ‘Knowledge Industry Clustering’ Project
  • Clustering, Learning and Regional Development
  • The Impacts of ICT and Externalities on Urban Development
  • Urban Milieux: From Theory to Empirical Findings
  • The Spatial Clustering of Knowledge-Intensive Services: Computing Services in the Netherlands
  • Dynamic Information Externalities and Employment Growth in the Netherlands
  • New Regional Economics: About Virtual Agglomeration Effects
  • 'Old’ and ‘New’ Economy and Services
  • Economic Capabilities and Strategic Clusters: New Perspectives for National and Regional Economic Policy
  • Concluding Remarks
  • Further Learning from Clusters.