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Constructing a Local Innovation Index: Methodological Challenges Versus Statistical Data Availability

Constructing a Local Innovation Index: Methodological Challenges Versus Statistical Data... The measurement of territorial innovation performance has gained an increased importance in the era of differentiated innovation policy. However, practical measurement attempts hardly go beyond the regional level, in spite of the arguments on the local nature of the innovation process. In present paper we attempt to construct a local innovation index that is based on the systems of innovation theory and by which a large number of localities can be compared. We use a data set on the 174 Hungarian LAU-1 micro-regions to demonstrate the usefulness of such an index. We reflect the “systemic nature” of the innovation systems by applying the “penalty for bottleneck” method. We conclude that local innovation indexes might be useful sources of information for policy-makers, but one has to be fully aware of the limitations of such indexes and use them only for purposes they really serve. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Spatial Analysis and Policy Springer Journals

Constructing a Local Innovation Index: Methodological Challenges Versus Statistical Data Availability

Applied Spatial Analysis and Policy , Volume 6 (1) – Aug 26, 2012

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References (59)

Publisher
Springer Journals
Copyright
Copyright © 2012 by Springer Science+Business Media B.V.
Subject
Social Sciences, general; Human Geography; Landscape/Regional and Urban Planning; Regional/Spatial Science
ISSN
1874-463X
eISSN
1874-4621
DOI
10.1007/s12061-012-9080-5
Publisher site
See Article on Publisher Site

Abstract

The measurement of territorial innovation performance has gained an increased importance in the era of differentiated innovation policy. However, practical measurement attempts hardly go beyond the regional level, in spite of the arguments on the local nature of the innovation process. In present paper we attempt to construct a local innovation index that is based on the systems of innovation theory and by which a large number of localities can be compared. We use a data set on the 174 Hungarian LAU-1 micro-regions to demonstrate the usefulness of such an index. We reflect the “systemic nature” of the innovation systems by applying the “penalty for bottleneck” method. We conclude that local innovation indexes might be useful sources of information for policy-makers, but one has to be fully aware of the limitations of such indexes and use them only for purposes they really serve.

Journal

Applied Spatial Analysis and PolicySpringer Journals

Published: Aug 26, 2012

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