From theory to practice in smart specialization strategy: emerging limits and possible future trajectories

Capello, Roberta; Kroll, Henning

doi:10.4324/9781315180021-1

Cited by 30 publications

(52 citation statements)

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“…There is a growing recognition that our S3 understanding has to shift attention from theory (design) to practice (implementation); for example, see the work of (Gianelle et al 2014;Capello and Kroll 2016;McCann, Van Oort, and Goddard 2016). At a theoretical level, the value of S3 has been well embedded in the regional innovation agenda (OECD 2013b;McCann, Van Oort, and Goddard 2016), concentrating both policymaking and academic interest.…”

Section: Implementing S3: Critical Research In Progressmentioning

confidence: 99%

“…In this regard, inefficiency takes the form of a less systematic implementation of the entrepreneurial discovery where efforts to identify new entrepreneurial opportunities for the regions will be limited and rather weak. In this respect, almost any S3 study highlights that the self-discovery process requires constant and in-depth investigations which cannot be merely based on the outcome of temporary inter-organisational linkages, see for instance Capello and Kroll (2016). Rather, it should be based on processes where all participatory bodies will be oriented to develop strong networking capacity for building meaningful inter-organisational linkages for the purpose of S3.…”

Section: Networking Capabilities At the Institutional Levelmentioning

confidence: 99%

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Capacity-building barriers to S3 implementation: an empirical framework for catch-up regions

Papamichail

Rosiello

Wield

2018

Innovation: The European Journal of Social Science Research

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In this paper, we investigate the implementation challenge of Smart Specialisation Strategies (S3) in catch-up regional environments, through the lens of capacity building. We analyse capacity building at two levels: micro-level (individual organisations) and meso-level (regional inter-organisational networks). We use empirical evidence from 50 interviews conducted in the period 2015-2017 from two Greek regions dramatically hit by the economic crisis (Crete and Central Macedonia). We argue that in the Cretan and Central Macedonian context, the difficulty of implementing S3 is directly linked with firms' lack of adsorptive capability to exploit university-generated knowledge, university knowledge that is too abstract for firm's to easily acquire, as well as to the capability of regional actors to build inter-organisational networking that fits their strategic needs.

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Section: Implementing S3: Critical Research In Progressmentioning

confidence: 99%

Section: Networking Capabilities At the Institutional Levelmentioning

confidence: 99%

Capacity-building barriers to S3 implementation: an empirical framework for catch-up regions

Papamichail

Rosiello

Wield

2018

Innovation: The European Journal of Social Science Research

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“…Despite the fact that the importance of targeting related domains in the implementation of S3 is widely acknowledged, only a minority of regions addressed the question of relatedness in choosing the specialisation domains and none of them attempted to use specific measures of relatedness (Capello & Kroll, ; Iacobucci, ; Iacobucci & Guzzini, ). There are two main reasons for this fact.…”

Section: S3 and The Concept Of Relatedness: Theoretical Arguments Andmentioning

confidence: 99%

Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment

D'Adda

Iacobucci

Palloni³

2020

Papers in Regional Science

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Smart Specialisation Strategy required regional authorities to identify technological domains where to concentrate investment in R&D and innovation. Their choices should originate from an analysis of regional strengths, aiming to identify those domains with the greatest potential for innovation and diversification. This paper aim to assess the degree of relatedness between chosen technological domains. We use patent data to categorize technological domains and the revealed associations methodology to measure their degree of relatedness. We find that the choices made by Italian regions show a significant higher relatedness as compared to a random choice, though with notable exceptions. KEYWORDS regional development, regional innovation policy, smart specialisation strategy, technological relatedness JEL CLASSIFICATIONO38; R11; R58 | INTRODUCTIONThe EU Cohesion Policy is one of the western world's largest, if not the largest, regional development policy operating under broadly one overall legal and institutional framework. Following the so-called Lisbon strategy, the main aim of the 2014-2020 program is to foster the innovative performance of EU regions and promoting a better link ---

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“…The goal of such policies is not to make the industry structure of regions more specialised (or less diverse) but rather to build on the existing strengths of a region as reflected in the common processes and skills used by the region's firms (Balland et al, 2018). Capello and Kroll (2016) noted that there are six elements that must be present for smart specialisation to take place: (i) entrepreneurial spirit, (ii) industrial diversity, (iii) high quality local governance, (iv) a critical mass of capabilities to develop collective learning processes, (v) adequate market potential, and (vi) industry connectedness. Foray (2014) argues that smart specialisation is essentially a spontaneous process and that the role of smart specialisation policy is to identify the market and coordination failures that are likely to impede that spontaneity.…”

Section: Related Variety and Smart Specialisationmentioning

confidence: 99%

The Importance of Regional Export Development and a Specialised Local Supply Chain on the Development of Australia's Regions

Murphy

Hicks

Morrison

et al. 2019

J of App Econs and Policy

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The nature of the relationship between industry specialisation and employment growth is uncertain. We use regression analysis to examine the effect of changes in forward and backward industry linkages, and of changes in the spread of each of these linkages, on regional competitive employment effects. The study utilises census data from 2006 and 2011 of 46 Australian nonurban regions and the results suggest that regional industry specialisation in firms that export from the region, or in firms that supply to local firms exporting from the region, will have a positive impact on the region's employment. This finding is supportive of smart specialisation policies which are in keeping with a market approach to regional development.

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From theory to practice in smart specialization strategy: emerging limits and possible future trajectories

Cited by 30 publications

References 1 publication

Capacity-building barriers to S3 implementation: an empirical framework for catch-up regions

Capacity-building barriers to S3 implementation: an empirical framework for catch-up regions

Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment

The Importance of Regional Export Development and a Specialised Local Supply Chain on the Development of Australia's Regions

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