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

Author

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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.

Suggested Citation

  • Matthias Duschl & Thomas Brenner, 2013. "Growth dynamics in regional systems of technological activities – A SVAR approach," Working Papers on Innovation and Space 2013-12, Philipps University Marburg, Department of Geography.
  • Handle: RePEc:pum:wpaper:2013-12
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    Cited by:

    1. Alexander Coad & Nicola Grassano, 2016. "Whos doing who? Growth of sales, employment, assets, profits and R&D entangled in a curious five-way love triangle," JRC Working Papers on Corporate R&D and Innovation 2016-03, Joint Research Centre.
    2. Alex Coad & Marc Cowling & Josh Siepel, 2017. "Growth processes of high-growth firms as a four-dimensional chicken and egg," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 537-554.

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    More about this item

    Keywords

    regional growth; SVAR; non-normality; innovations; universities; R&D; regional technological systems;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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