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Expenditure in R&D and local development - an analysis of Italian provinces

Authors: Michele Capriati;

Expenditure in R&D and local development - an analysis of Italian provinces

Abstract

The expenditure capacity in R&D is regarded as an important factor for the growth of modern economies. However, even more important is to understand the interaction between research resources and the single territories together with their concrete impact on innovation processes. In fact it is at the local level that the innovation dynamics based on implicit knowledge are generated and disseminated. In order to analyse these processes the present level of aggregation of R&D expenditure data is limited to administrative regions and is still high, this reducing the ability to carry out more precise investigations. The present paper makes an estimate of R&D expenditure for different institutional categories in Italian municipalities (University, Public Administration, and Business). The estimated database has been completed with economic variables referring to the individual municipalities. This has enabled us to carry out a correlation and a cluster analysis and identify groups of municipalities with different characteristics concerning innovation and local development.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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