National Income, Political Freedom, and Investments in R&D and Education: A Comparative Analysis of the Second Digital Divide Among 15-Year-Old Students

Josef Kuo Hsun Ma, Todd E. Vachon, Simon Cheng

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Digital technology has become an indispensable component in education around the world. Despite its growing importance, a gap in students’ digital skills and usage based on their socioeconomic status—known as the second digital divide—has been identified in a wide range of countries. Using data from the 2009 OECD Programme for International Student Assessment, we consider two aspects of the second digital divide for 15-year-olds across 55 countries: the gaps in use of educational software at home and Internet literacy. Specifically, we ask whether national income, political freedom, and national investments in research and development (R&D) and secondary education are associated with the second digital divide. We find that national income predicts the digital divide and that national investments have differential effects depending upon a country’s income. R&D spending reduces the socioeconomic gap in educational software use only in low-income countries. Educational expenditures reduce the Internet literacy gap in high-income countries while exacerbating it in low-income ones. Additional analyses suggest that income inequality increases the digital divide, but like political freedom, the effects become non-significant when national income is considered. We conclude by discussing the implications of these findings for policymakers interested in reducing the digital divide.

Original languageEnglish (US)
Pages (from-to)133-166
Number of pages34
JournalSocial Indicators Research
Volume144
Issue number1
DOIs
StatePublished - Jul 15 2019

All Science Journal Classification (ASJC) codes

  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Sociology and Political Science
  • General Social Sciences

Keywords

  • Educational expenditures
  • Multilevel modeling
  • PISA
  • R&D
  • Second digital divide

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