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2011 | OriginalPaper | Buchkapitel

3. Geographical Accessibility and Human Capital Accumulation

verfasst von : Riccardo Crescenzi, Andrés Rodríguez-Pose

Erschienen in: Innovation and Regional Growth in the European Union

Verlag: Springer Berlin Heidelberg

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Abstract

This chapter performs a preliminary empirical exploration of the key conceptual links developed in Chap. 2. It looks at the relationship between innovation and regional growth by means of an empirical model that explicitly accounts for the impact of spatially mediated processes (geography) and place-specific socio-institutional conditions. The cross-sectional analysis, covering the EU-25 regions, sheds light on how regional innovative activities influence differential regional growth patterns. The thrust of the analysis will be to examine how geographical accessibility and human capital accumulation, by shaping the regional system of innovation, interact with local innovative activities, thereby enhancing (or impeding) economic growth. The analysis will support the idea that an increase in innovative effort is not, per se, necessarily or likely to produce the same effect in all EU-25 regions (as the linear model would predict), whereas geography, together with human capital accumulation, does, on the contrary, influence this relationship and shall be shown to do so. This will constitute the first empirical confirmation for the theoretical hypotheses developed in the previous chapter, and which will be further analysed in Chaps. 4 and 5 with a more in depth treatment of respectively systems of innovation conditions and geography.

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Fußnoten
1
The standardisation procedure used is the common procedure whereby we subtract from the observed value of each variable the minimum value taken over the whole set of regions under analysis and divide the result by the range of variation (the maximum minus the minimum value taken) of the same variable. The final result is an indicator which ranges from 0 to 1 for each region.
 
2
We consider high-tech patents only in order to further minimize this bias introduced by differential propensity to patent of different sectors.
 
3
In the case of the New Member States data availability has prevented us from calculating the mean of the explanatory variables over the five year period (t−T−5) forcing us to use a shorter time span. For some EU 15 countries slightly differential time spans have been used according to data availability for each variable. The specification of each individual case would take up too much space.
 
4
Slovenia ranks 26th out of the 162 countries considered in Archibugi and Coco 2004 when applying their index.
 
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Metadaten
Titel
Geographical Accessibility and Human Capital Accumulation
verfasst von
Riccardo Crescenzi
Andrés Rodríguez-Pose
Copyright-Jahr
2011
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-17761-3_3