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Digital inequality in Austria: Empirical evidence from the survey of the OECD “Programme for the International Assessment of Adult Competencies”

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  • Zilian, Stella Sophie
  • Zilian, Laura Samantha

Abstract

Digitisation and rapidly emerging new technologies are transforming many aspects of life such as education, work, and leisure. These changes lead to a growing demand for new skills related to ICT use, computer literacy, internet use, or technical digital skills. However, the extensive literature on digital inequality provides evidence for significant differences in computer skills along the usual dimensions of social inequality. Due to the omnipresence of digital technologies in everyday life, it is all the more important to know the extent of digital inequality to be able to take appropriate measures to ensure that social participation does not degenerate into a question of social stratification in the Digital Age. In this paper, we provide empirical evidence for socio-economic digital inequality in Austria using survey data from the “Programme for the International Assessment of Adult Competencies” (PIAAC) conducted in 2011/2012.11The data set that supports the findings of this study is available as a scientific use file (SUF) for scientific research made available by Statistics Austria free of charge after conclusion of a data use agreement. We show, for Austria, that higher socio-economic background is positively related to digital problem-solving while being female is negatively correlated. However, when controlling for ICT engagement in everyday life, the positive effect of the socio-economic background only remains significant for groups of people with a very high socio-economic background while the effect of gender becomes statistically insignificant. Furthermore, based on Eurostat data we cannot identify a uniform trend towards a decline of digital inequality since 2012. Our results indicate that disadvantaged population groups in Austria should be encouraged and enabled to integrate ICT usage in their everyday life to reduce digital inequality.

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  • Zilian, Stella Sophie & Zilian, Laura Samantha, 2020. "Digital inequality in Austria: Empirical evidence from the survey of the OECD “Programme for the International Assessment of Adult Competencies”," Technology in Society, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20303249
    DOI: 10.1016/j.techsoc.2020.101397
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    1. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    2. Hanushek, Eric A. & Woessmann, Ludger, 2011. "The Economics of International Differences in Educational Achievement," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 2, pages 89-200, Elsevier.
    3. Oecd, 2001. "Understanding the Digital Divide," OECD Digital Economy Papers 49, OECD Publishing.
    4. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    5. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    6. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    7. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    8. Chetty, Krish & Qigui, Liu & Gcora, Nozibele & Josie, Jaya & Wenwei, Li & Fang, Chen, 2018. "Bridging the digital divide: Measuring digital literacy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-20.
    9. Nicole Zillien & Eszter Hargittai, 2009. "Digital Distinction: Status‐Specific Types of Internet Usage," Social Science Quarterly, Southwestern Social Science Association, vol. 90(2), pages 274-291, June.
    10. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    11. Robert Grundke & Luca Marcolin & The Linh Bao Nguyen & Mariagrazia Squicciarini, 2018. "Which skills for the digital era?: Returns to skills analysis," OECD Science, Technology and Industry Working Papers 2018/09, OECD Publishing.
    12. Riina Vuorikari & Yves Punie & Stephanie Carretero Gomez & Godelieve Van Den Brande, 2016. "DigComp 2.0: The Digital Competence Framework for Citizens. Update Phase 1: the Conceptual Reference Model," JRC Research Reports JRC101254, Joint Research Centre.
    13. Judy Wajcman, 2010. "Feminist theories of technology," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 34(1), pages 143-152, January.
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