This paper performs a fine-grained analysis of regional innovation models discussed in the literature, using a combination of quantitative (co-word analysis) and qualitative (meta-synthesis) methods applied to 300 papers from the Scopus and Sage databases covering the period 1990–2013. The co-word analysis produced knowledge maps that identify the most frequently occurring regional innovation models and group them into three clusters: Cluster 1 (industrial districts, local production systems), Cluster 2 (industrial clusters and regional clusters), and Cluster 3 (innovative milieus, regional innovation systems, innovation networks and learning regions). The meta-synthesis analysis used for exploring the content of these models identified three main themes, each with several sub-themes, as well as distinct features of the regions implementing them. Based on these distinctions, a typology of regions was derived, distinguishing between Early Innovators, Transitional Innovators and Advanced Innovators, which can serve as a useful instrument for academic researchers, policy-makers and practitioners involved in regional innovation.
Quality & Quantity – Springer Journals
Published: Nov 11, 2014
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