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Varieties of service economies in Europe

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  • Di Meglio, Gisela
  • Pyka, Andreas
  • Rubalcaba, Luis

Abstract

This paper identifies the varieties and dynamics of service economies in Europe, analysing the role of knowledge base and innovative efforts and their evolution across time and countries. Results based on aggregated macroeconomic data indicate that there is no convergence trend towards a single service economy model. Moreover, different service economies models can be associated with institutional and welfare state diversity. When analysing a comprehensive set of indicators at a disaggregated level a more detailed pattern of service economies emerges. The structural composition of countries plays a prominent role, while heterogeneity is driven by uneven knowledge bases and innovative efforts.

Suggested Citation

  • Di Meglio, Gisela & Pyka, Andreas & Rubalcaba, Luis, 2012. "Varieties of service economies in Europe," FZID Discussion Papers 44-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    • Handle: RePEc:zbw:fziddp:442012
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    References listed on IDEAS

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    Cited by:

    1. L. Rubalcaba & P. Windrum & F. Gallouj & Meglio Di & A. Pyka & J. Sundbo & M. Weber, 2011. "ServPPIN. The Contribution of Public and Private Services to European Growth and Welfare, and the Role of Public-Private Innovation Networks. Servppin Final Publishable Summary Report," Working Papers hal-01111787, HAL.

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    More about this item

    Keywords

    services; social models; innovation; knowledge; Europe;
    All these keywords.

    JEL classification:

    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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