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Co-evolutionary patterns in regional knowledge bases and economic structure: evidence from European Regions

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  • Francesco Quatraro

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

Abstract

This paper presents an analysis of 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, on the other hand, 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 workforce across sectors whereas within sector productivity is associated with high levels of both coherence and cognitive distance of the regional knowledge base.

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  • Francesco Quatraro, 2013. "Co-evolutionary patterns in regional knowledge bases and economic structure: evidence from European Regions," Working Papers hal-00992080, HAL.
  • Handle: RePEc:hal:wpaper:hal-00992080
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    Cited by:

    1. Ron Boschma, 2017. "A concise history of the knowledge base literature: challenging questions for future research," Papers in Evolutionary Economic Geography (PEEG) 1721, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2017.
    2. Blanca L. Delgado-Márquez & Marcos García-Velasco, 2018. "Geographical Distribution of the European Knowledge Base Through the Lens of a Synthetic Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 477-496, April.
    3. Eva Coll-Martinez & Malia Kedjar & Patricia Renou-Maissant, 2020. "Location Determinants Of Ecoinnovative Firms In France," Working Papers 2020.02, International Network for Economic Research - INFER.
    4. Colombelli, Alessandra & Quatraro, Francesco, 2018. "New firm formation and regional knowledge production modes: Italian evidence," Research Policy, Elsevier, vol. 47(1), pages 139-157.
    5. Orsatti, Gianluca & Quatraro,Francesco & Scandura, Alessandra, 2021. "Green Technological Diversification and Local Recombinant Capabilities: The Role of Technological Novelty and Academic Inventors," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202119, University of Turin.
    6. Quatraro, Francesco & Scandura, Alessandra, 2019. "Academic Inventors and the Antecedents of Green Technologies. A Regional Analysis of Italian Patent Data," Ecological Economics, Elsevier, vol. 156(C), pages 247-263.
    7. Gianluca Orsatti & Francesco Quatraro & Alessandra Scandura, 2020. "Regional differences in the generation of green technologies: the role of local recombinant capabilities and academic inventors," Carlo Alberto Notebooks 617, Collegio Carlo Alberto.
    8. Roberto Antonietti & Chiara Burlina, 2023. "Exploring the entropy-complexity nexus. Evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 257-283, April.

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    Keywords

    Recombinant Knowledge; Coherence; Variety; Regional Structural Change; Shift Share Analysis;
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