Arbeitspapier

Information-driven clustering: An alternative to the knowledge spillover story

This paper builds a model in which clustering emerges as the equilibrium outcome driven by informational imperfections and the importance of knowledge and uncertainty in innovative production even when knowledge is fully exclusive and appropriable. This motive for clustering will be stronger the more important new knowledge in the industry. It thereby helps to account for the empirical finding that economic activity clusters more strongly in industries where new knowledge plays a bigger role. It weakens the case for local knowledge spillovers to explain innovative clustering.

ISBN
978-3-940369-03-1
Language
Englisch

Bibliographic citation
Series: Hamburg Contemporary Economic Discussions ; No. 02/2005

Classification
Wirtschaft
Subject
knowledge
innovation
innovative production
vector representation
complementarity

Event
Geistige Schöpfung
(who)
Sievers, Tim
Event
Veröffentlichung
(who)
University of Hamburg, Faculty of Business, Economics and Social Sciences, Chair for Economic Policy
(where)
Hamburg
(when)
2005

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Sievers, Tim
  • University of Hamburg, Faculty of Business, Economics and Social Sciences, Chair for Economic Policy

Time of origin

  • 2005

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