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JCMS Journal of Common Market Studies
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
EconStor
Research . 2020
Data sources: EconStor
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How ‘Smart’ Are Smart Specialization Strategies?

Authors: Marco Di Cataldo; Vassilis Monastiriotis; Andrés Rodríguez‐Pose;

How ‘Smart’ Are Smart Specialization Strategies?

Abstract

AbstractThe introduction of smart specialization (S3) as a fundamental pillar of the 2014 reform of the EU cohesion policy is a significant strategic shift in European development intervention. S3 strategies aimed at mobilizing the economic potential of each country and region of the EU by allowing a more place‐based and bottom‐up approach to development. However, despite the salience that S3 has acquired in a short period of time, there has been no European‐wide evaluation of the extent to which S3 strategies truly reflect the economic characteristics and potential of the territories where they are being implemented. This article examines the characteristics of S3 strategies across Europe – by focusing on their development axes, economic or scientific domains and policy priorities – to assess whether this is the case. The results show that S3 strategies display a proliferation of objectives, a problem that particularly affects areas with weaker quality of government. Moreover, strategies are generally loosely connected with the intrinsic conditions of each region and mostly mimic what neighbouring areas are doing. The lack of more concise and focused S3 strategies is likely to undermine the effectiveness of what is, otherwise, a very interesting and worthwhile policy experiment.

Countries
United Kingdom, Italy
Keywords

Europe, EU policy; Europe; regions; smart specialization, smart specialization, ddc:330, EU policy, regions, EU Policy, Smart Specialisation

  • BIP!
    Impact byBIP!
    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).
    47
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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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!
47
Top 1%
Top 10%
Top 1%
Green
bronze