Applied Regional Growth and Innovation Models by Karima Kourtit, Peter Nijkamp, Robert Stimson

By Karima Kourtit, Peter Nijkamp, Robert Stimson

Modern spatial-economic platforms convey a excessive measure of dynamics due to technological growth, demographic evolution or worldwide switch. long ago decade, an avalanche of recent local financial development and innovation versions has been recommend. This quantity incorporates a exact choice of operational types of a powerful utilized nature which may be obvious as unique landmarks within the wealthy culture of spatial-economic development modelling. The participants are famous specialists from diverse components of the area. ​

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Present or absent: (PK), (SP); (Mg); (PRD); (KT); (SE); (NPD); (PPC); (AET); (Or). 1 Innovative institutions were classified following the previous research in Vicente et al. (2010). 3 The Spatial-Institutional Architecture of Innovative Behaviour 43 Fig. 3 Steps for external logistic biplot (Source: Vicente et al. (2010)) The applied statistical algorithm was described in Demey et al. (2008). The procedure to perform the External Logistic Biplot method is based on a Principal Coordinates Analysis, while, next, in a second step of the algorithm, a logistic regression model was used for each variable as illustrated, in Fig.

To produce an elegant solution, we may present a Voronoi diagram of the spatial relationships. The method described above was applied to our data sample, thus eventually indicating the existing force field of the Portuguese innovation system. 4a represents a Voronoi diagram of the existing spatial relationships. Four well defined clusters can be detected, each characterized by the presence or the absence of the different sets of variables. Cluster 1 is characterized by the presence of SP, AET, and NPD and the absence of SE; Cluster 2 is characterized by the presence of PK, 44 E.

1007/978-3-642-37819-5_4, © Springer-Verlag Berlin Heidelberg 2014 51 52 M. Mukim Fig. 1 Distribution of FDI (Source: fDi Markets. Note: There is no information available for the countries shown as semi-transparent) there is much research to show how attributes of a location matter at smaller spatial scales, such as states or metropolitan regions, there is little research to provide an understanding of these affects at the level of national decision-making. Indeed, if one were mainly concerned with being a magnet for large-scale and long-term foreign direct investments, then cross-country analysis might provide useful insights.

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