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New Explanatory Models for Analyzing Spatial Innovation: A Comparative Investigation

In: Trade, Networks and Hierarchies

Author

Listed:
  • A. Reggiani

    (University of Bologna)

  • P. Nijkamp

    (Free University)

  • E. Sabella

    (University of Bologna)

Abstract

The period of the 1980s and 1990s has witnessed a profound interest in innovation research. At first, we have seen much attention for technological innovations as part of a long-term cycle based on Schumpeterian views (see e.g. Kleinknecht, 1988). Later on, the interest shifted from macro-economic analyses to regional and urban economic investigations into the success conditions for new innovations (e.g. incubation theory; see e.g. Davelaar, 1991) as well as to the spatio-temporal diffusion and acceptance patterns of innovations (see e.g. Bertuglia et al., 1997).

Suggested Citation

  • A. Reggiani & P. Nijkamp & E. Sabella, 2002. "New Explanatory Models for Analyzing Spatial Innovation: A Comparative Investigation," Advances in Spatial Science, in: Geoffrey J. D. Hewings & Michael Sonis & David Boyce (ed.), Trade, Networks and Hierarchies, chapter 18, pages 329-346, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-04786-6_18
    DOI: 10.1007/978-3-662-04786-6_18
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    References listed on IDEAS

    as
    1. Kangasharju, Aki & Nijkamp, Peter, 2001. "Innovation dynamics in space: local actors and local factors," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 31-56, March.
    2. Cristoforo S. Bertuglia & Silvana Lombardo & Peter Nijkamp (ed.), 1997. "Innovative Behaviour in Space and Time," Advances in Spatial Science, Springer, number 978-3-642-60720-2.
    3. Fischer, Manfred M. & Gopal, Sucharita, 1994. "Artificial Neural Networks. A New Approach to Modelling Interregional Telecommunication Flows," MPRA Paper 77822, University Library of Munich, Germany.
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