Co-evolutionary Patterns in Regional Knowledge Bases and Economic Structure: Evidence from European Regions

Francesco Quatraro

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Abstract: This paper analyses the co-evolutionary patterns of structural change in knowledge and economics. The former is made operational through an analysis of co-occurrences of technological classes in patent documents in order to derive indicators of coherence, variety and cognitive distance. The latter is made operational in a synthetic way by implementing shift-share analysis which decomposes labour productivity growth into effects caused by changes in the allocation of employment, those ascribed to intra-sector productivity growth, and those caused by interaction of these two components. The results of the analysis conducted on a sample of 227 European regions show that increasing variety is associated with the reallocation of the workforce across sectors whereas within-sector productivity is associated with high levels of both coherence and cognitive distance of the regional knowledge base.

Keywords: Recombinant knowledge; Coherence; Variety; Regional structural change; Shift-share analysis (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-cse, nep-eff, nep-evo, nep-knm and nep-ure
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01070548
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Citations: View citations in EconPapers (7)

Published in Regional Studies, 2016, 50 (3), pp.513-539. ⟨10.1080/00343404.2014.92795⟩

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Journal Article: Co-evolutionary Patterns in Regional Knowledge Bases and Economic Structure: Evidence from European Regions (2016)
Working Paper: Co-evolutionary patterns in regional knowledge bases and economic structure: evidence from European Regions (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01070548

DOI: 10.1080/00343404.2014.92795

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