Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/111895
Authors: 
Duschl, Matthias
Brenner, Thomas
Year of Publication: 
2013
Series/Report no.: 
Working Papers on Innovation and Space 12.13
Abstract: 
This paper analyses the causal relationships in regional technological systems within a structural vector autoregression (SVAR) framework. Applying a data-driven identification strategy based on Independent Component Analysis, it shows how the regional growth dynamics of economic, research, innovation and educational activities affect each other instantaneously and over time in five different industries. Referring to the type of industry and its knowledge base, expectations are derived on how industry-specific growth processes unfold. Knowledge on the causal relations among the various activities in such regional technological systems is of utmost relevance to the design and implementation of efficient policy instruments.
Subjects: 
regional growth
SVAR
non-normality
innovations
universities
R&D
regional technological systems
JEL: 
C33
O30
R11
Document Type: 
Working Paper

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