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Learning from Clusters

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Cover of 'Learning from Clusters'

Table of Contents

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    Book Overview
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    Chapter 1 Clustering, Learning and Regional Development
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    Chapter 2 A Systematic Perspective on Local Development
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    Chapter 3 Cluster Dynamics
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    Chapter 4 Embedded Local Growth: A Theory Taken too Far?
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    Chapter 5 Beyond the Learning Region: The Dialectics of Innovation and Culture in Territorial Development
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    Chapter 6 Economic Development, Institutions and Trust
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    Chapter 7 Social Capital and Regional Development: An Empirical Analysis of the Third Italy
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    Chapter 8 Regional Innovation Systems, Varieties of Capitalism and Non-Local Relations: Challenges from the Globalising Economy
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    Chapter 9 Delirious Rotterdam: The Formation of an Innovative Cluster of Architectural Firms
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    Chapter 10 Competitiveness in Regional Clusters. The Case of Océ's ‘Knowledge Industry Clustering’ Project
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    Chapter 11 Urban Milieux: From Theory to Empirical Findings
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    Chapter 12 The Spatial Clustering of Knowledge-Intensive Services: Computing Services in the Netherlands
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    Chapter 13 Dynamic Information Externalities and Employment Growth in the Netherlands
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    Chapter 14 New Regional Economics: About Virtual Agglomeration Effects
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    Chapter 15 'Old’ and ‘New’ Economy and Services
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    Chapter 16 Economic Capabilities and Strategic Clusters: New Perspectives for National and Regional Economic Policy
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    Chapter 17 Further Learning from Clusters
Attention for Chapter 9: Delirious Rotterdam: The Formation of an Innovative Cluster of Architectural Firms
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Chapter title
Delirious Rotterdam: The Formation of an Innovative Cluster of Architectural Firms
Chapter number 9
Book title
Learning from Clusters
Published by
Springer Netherlands, February 2016
DOI 10.1007/1-4020-3679-5_9
Book ISBNs
978-1-4020-3671-2, 978-1-4020-3679-8
Authors

Eva Stegmeijer, Robert C. Kloosterman

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 20%
Researcher 1 20%
Student > Postgraduate 1 20%
Student > Doctoral Student 1 20%
Unknown 1 20%
Readers by discipline Count As %
Arts and Humanities 1 20%
Computer Science 1 20%
Earth and Planetary Sciences 1 20%
Social Sciences 1 20%
Unknown 1 20%