Krammer, MS orcid.org/0000-0002-5773-9514 (2017) Science, technology, and innovation for economic competitiveness: the role of smart specialization in less-developed countries. Technological Forecasting and Social Change, 123. pp. 95-107. ISSN 0040-1625
Abstract
Smart specialization (SS) is a policy concept that has gained significant momentum in Europe despite a frail theoretical background and implementation difficulties. These challenges become critical in the case of less-developed economies that often lack regional autonomy, a strong STI base, and local capabilities to identify and sustain such SS strategies. Combining elements from evolutionary economics and the export-led literature, I propose a framework that anchors the role of SS in the national innovation policy of such laggards, as a complementary avenue for improving competitiveness and growth. Moreover, to assist policy makers in lagging regions or countries, I advance a diagnostic tool to identify potential areas for SS, and also address the systemic and the regional-sectoral bottlenecks in these domains. I exemplify the use of this tool in the case of Bulgaria by using a large battery of quantitative and qualitative indicators from publicly available data. This type of investigation may be useful for other less-developed economies to kick-start this process and identify prima facie SS candidates.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier Inc. This is an author produced version of a paper published in Technological Forecasting and Social Change. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Smart specialization; Innovation systems; Exports; Patents; Scientific publications |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > International Business Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Jul 2017 14:22 |
Last Modified: | 27 Dec 2018 01:38 |
Status: | Published |
Publisher: | Elsevier BV |
Identification Number: | 10.1016/j.techfore.2017.06.028 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118782 |