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
Sprache
Englisch

Erschienen in
Series: Hamburg Contemporary Economic Discussions ; No. 02/2005

Klassifikation
Wirtschaft
Thema
knowledge
innovation
innovative production
vector representation
complementarity

Ereignis
Geistige Schöpfung
(wer)
Sievers, Tim
Ereignis
Veröffentlichung
(wer)
University of Hamburg, Faculty of Business, Economics and Social Sciences, Chair for Economic Policy
(wo)
Hamburg
(wann)
2005

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

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

Entstanden

  • 2005

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