Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/111895 
Erscheinungsjahr: 
2013
Schriftenreihe/Nr.: 
Working Papers on Innovation and Space No. 12.13
Verlag: 
Philipps-University Marburg, Department of Geography, Marburg
Zusammenfassung: 
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.
Schlagwörter: 
regional growth
SVAR
non-normality
innovations
universities
R&D
regional technological systems
JEL: 
C33
O30
R11
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
1.19 MB





Publikationen in EconStor sind urheberrechtlich geschützt.