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About

  • About us

    • About
    • Contact us
  • Media

    • News archive
  • Cooperations

    • Eli F. Heckscher Lectures

Research

  • Areas

    • Labour Market Research
    • Competitiveness Research
    • Climate and Environmental Research
  • Ongoing research

    • Working Paper Series
  • People
  • Publications

    • Publications

      • Publications

    Hur växer kunskapsintensiva företag som sysslar med företagstjänster?

    PublicationReports
    Daniel Halvarsson, Företag, Företagandets villkor, Karl Wennberg, Kompetens, Kompetens för tillväxt, Kompetensförsörjning, Kunskapsintensiva företag, Sysselsättning, Tillväxt
    Hur växer kunskapsintensiva företag
    Download

    Abstract

    I rapporten analyseras sysselsättningstillväxt i nystartade kunskapsintensiva tjänsteföretag (KIBS). Författarna presenterar en heltäckande studie av samtliga nya svenska KIBS-företag under slutet av 1990-talet och början av 2000-talet, en mycket expansiv period. Datamaterialet som används består av samtliga nya svenska KIBS-företag registrerade någon gång under perioden 1995-2002. Rapporten visar hur den teknologiska kunskapen hos företagens anställda tillsammans med företagsledningens erfarenhetsbaserade kompetens ger förutsättningarna att växa.

    Resultaten indikerar att det i huvudsak är de interna resurserna, såsom andelen anställda med en teknologisk examen samt ledningsgruppens erfarenhetsbaserade kompetenser, som driver sysselsättningstillväxten i de nya KIBS-företagen. Slutsatserna visar att KIBS-företag är en viktig källa till nya jobb i Sverige och att de nya jobben främst skapas av erfarna entreprenörer som lyckas rekrytera kompetent teknisk personal.

    Halvarsson, D. & Wennberg, K. (2014). Hur växer kunskapsintensiva företag som sysslar med företagstjänster? Kompetens för tillväxt, rapport nr 11. Stockholm: Ratio.

    Details

    Author

    Halvarsson, D. & Wennberg, K.

    Publication year

    2014

    Published in

    Kompetens för tillväxt

    Related

    Daniel Halvarsson
    Ph.D.

    +460760184541

    daniel.halvarsson@ratio.se

    Karl Wennberg
    Professor

    +46705105366

    karl.wennberg@ratio.se


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    Configurational research has great promise in entrepreneurship. There are few universal laws or relationships that hold under all circumstances. More often, optimal entrepreneurial outcomes are contingent on many factors. Consequently, configurational analysis using qualitative comparative analysis (QCA) has become increasingly popular. However, methodological research in sociology and political science has raised concerns about possible false positive findings produced by this method. In this editorial, we explore the potential and the common pitfalls of QCA in entrepreneurship research, as well as guidelines for its use.

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    This study investigates the relationship between the urban wage premium and employer concentration using Swedish full population employer-employee data. Departing from an AKM modeling framework to distinguish worker from firm specific heterogeneity – a measure of rent-sharing – we then measure the urban wage premium using differences in the estimated firm fixed effects at the level of local industries, nested within local labor markets. Our results suggest that labor market employer concentration, as calculated using the Hirschman-Herfindahl index and a leave-one-out instrumental variable design, can account for a significant share of the estimated urban wage premium (UWP). Addressing city-level wage income inequality by applying our model to different segments of the local labor market income distribution, we find that while the UWP pertains to all income segments, it is largest for top-income levels (above the 90th percentile), and within this segment employer concentration also has the largest explanatory power. Thus, while being an important explanatory factor for all percentiles of the local income distribution, a relatively lower employer concentration within larger cities, and vice versa, higher concentration within smaller cities, primarily help explain the variance of top wages within these cities/labor markets.

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