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Growth dynamics in regional systems of technological activities – A SVAR approach

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  • Matthias Duschl

    (Economic geography and Location Research, Philipps-Universität Marburg)

  • Thomas Brenner

    (Economic geography and Location Research, Philipps-Universität Marburg)

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.

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Bibliographic Info

Paper provided by Philipps University Marburg, Department of Geography in its series Working Papers on Innovation and Space with number 2013-12.

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Length: 28 pages
Date of creation: 09 Oct 2013
Date of revision:
Handle: RePEc:pum:wpaper:2013-12

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Related research

Keywords: regional growth; SVAR; non-normality; innovations; universities; R&D; regional technological systems;

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References

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