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2017 | OriginalPaper | Buchkapitel

Innovation Networks to Cope with the Geographical Distribution of Technological Knowledge. An Empirically Calibrated Spatial Agent-Based Model Study

verfasst von : Ben Vermeulen

Erschienen in: Innovation Networks for Regional Development

Verlag: Springer International Publishing

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Abstract

Over the last decades, research and development of technology has become a collaborative activity of firms creating new by combining existing knowledge. In stimulating technology development, the European Commission pursues ‘smart specialization of regions’ and thus creates a patchwork of regions in which firms collaboratively extend local, technologically specialized knowledge bases. However, creating genuinely path-breaking technological knowledge often requires combining knowledge from different sectors, possibly found in different regions. In this chapter, a fundamental spatial agent-based model is used to study which network structures are conducive to technological knowledge development given a particular geographical distribution and structure of technological knowledge. Unlike the technology discovery models found in literature, which predominantly use a highly simplified technology structure being searched, the model in this chapter is empirically calibrated to the structural features of the OECD patent database. Ultimately, it is concluded that technological knowledge progresses faster and becomes more advanced under regional diversification and does so for a wider variety of network structures. Smart specialization requires a smart or complete network with a high number of ties to attain a similar level of technological knowledge progress.

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Fußnoten
1
Patents are classified according the International Patent Classification (IPC) of the World Intellectual Property Organization (WIPO). The IPC consists of eight sections (Section A: Human Necessities. Section B: Performing operations; Transporting. Section C: Chemistry; Metallurgy. Section D: Textiles; Paper. Section E: Fixed constructions. Section F: Mechanical engineering; Lighting; Heating; Weapons; Blasting. Section G: Physics. Section H: Electricity.), each divided into subsections further subdivided into classes, subclasses, and, finally, groups.
 
2
Studies showed that this matrix is quite similar to the outcome if one aggregates over all IPC sections in cited and citing patents.
 
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Metadaten
Titel
Innovation Networks to Cope with the Geographical Distribution of Technological Knowledge. An Empirically Calibrated Spatial Agent-Based Model Study
verfasst von
Ben Vermeulen
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-43940-2_13