Abstract
Technological change seems to be making innovation not only more “globalised” but also more “territorially-specific”. Innovation relies on “global” knowledge flows of formal codified knowledge, but as these flows become progressively easier to access and exchange, the territorial aspect of innovation and learning has become a key resource in competitive advantage. In order to understand this process, however, it is necessary to reconsider the linear model of innovation. As we will discuss in this chapter, innovation is a collective learning and socially embedded process that is crucially dependent on tacit knowledge and “untraded interdependencies”. Consequently a dialectical linkage has been established between innovation and space. While territories, with their social, cultural and institutional realm, are crucial for successful innovation, innovation is in turn a key source of competitive advantage for territories and regions. However, different streams of literature have shed light upon specific factors and “conditions” involved in the process without bringing them together in an analytical model.
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- 1.
Evolutionary and interactive learning approaches can be easily reconciled when, following Edquist (1997), interactive learning is considered as a selection mechanism in an evolutionary process.
- 2.
In this area there is no agreement in the literature about the most convincing approach. Some authors (Nelson and Rosemberg, 1993 and Lundvall 1993) even question the rationale for the study of national systems of innovation preferring the idea of the emergence of a truly global system.
- 3.
“Each (…) set of conventions describes a framework of action, different for each basic kind of product, which we label a world of production.” (Storper 1997, p. 112).
- 4.
Henderson et al. (1995) find that Jacobs-type externalities prevail in high tech and MAR in capital goods industries.
- 5.
Duranton and Puga (2001) suggest that firms develop new products in diversified creative urban contexts, subsequently, relocating to specialised cities in the mass production phase in order to exploit cost advantage.
- 6.
“… at the present state of the art, defining the limits of a system of innovation in this way (as all determinants) is a “catch 22” problem. (…) We will, for the time being, specify systems as including all important determinants of innovation. (…) In this way the approaches serve as ‘focusing devices’ (…): interesting conjectures that need to be specified and then verified or disproved through further research.”(Edquist 1997, p. 15).
- 7.
Cantwell and Iammarino (2003) make this specificity explicit when stating that “proper regional systems of innovation are found only in a few well-defined areas: in most regions systemic interactions and knowledge flows between relevant actors are simply too sparse and too weak to reveal the presence of systems of innovation at work” (p. 5).
- 8.
“(…) the mere introduction of sets of social and political variables into linear models of growth does not by itself solve the problem of what type of relationship there is between the socio-political setting and economic growth” (Rodríguez-Pose 1998, p. 46).
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Crescenzi, R., Rodríguez-Pose, A. (2011). Theoretical Framework: A Spatial Perspective On Innovation and the Genesis of Regional Growth. In: Innovation and Regional Growth in the European Union. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17761-3_2
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