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New explanatory models for analysing spatial innovation: a comparative investigation

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  • Reggiani, Aura
  • Sabella, E.
  • Nijkamp, Peter

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).
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  • Reggiani, Aura & Sabella, E. & Nijkamp, Peter, 1999. "New explanatory models for analysing spatial innovation: a comparative investigation," ERSA conference papers ersa99pa129, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa99pa129
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    References listed on IDEAS

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    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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