The structure of social capital in Austria: Subjective and objective determinants

  • Bernd Liedl (Corresponding author)
  • , Nina-Sophie Fritsch
  • , Laura Wiesböck
  • , Roland Verwiebe

Publications: Contribution to journalArticlePeer Reviewed

Abstract

This paper seeks to address the relationship between social capital and perceived social origin in contemporary Austria. While the concept of social capital has been widely adopted in social sciences, so far research on the (pre)structured shape of social capital by social origin is scarce. Our aim is to close this gap. Therefore, we use the network-as-capital approach by following the “position generator” and apply latent class analysis (LCA) and path modelling on the basis of the 2018 Austrian Social Survey. The dataset comprises a representative sample of the Austrian residential population aged 18 and older. Our findings show that the diversity of social capital, and access to networks of people in more highly ranked positions is strongly influenced by one’s social background. The higher respondents assess their social origin, the greater the probability of being in this type of network. Furthermore, education and occupation have effects on membership in a class-specific network.
Original languageEnglish
Pages (from-to)115-138
Number of pages24
JournalÖsterreichische Zeitschrift für Soziologie
Volume45
Issue number2
DOIs
Publication statusPublished - Jun 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Austrian Fields of Science 2012

  • 504003 Poverty and social exclusion
  • 504007 Empirical social research

Keywords

  • Austrian Social Survey
  • CREATION
  • EUROPE
  • GENDER-DIFFERENCES
  • GERMANY
  • HEALTH
  • INEQUALITY
  • Latent Class Analysis
  • NETWORK
  • ORIGIN
  • Path modelling
  • Position Generator
  • RESOURCES
  • Social capital
  • Social origin
  • TRENDS

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