Affiliation:
1. Department of Applied Economics, University of Murcia, Campus Universitario de Espinardo , Murcia , Spain
2. Department of Applied Economics, University of Murcia , Murcia , Spain
Abstract
AbstractThe aim of this study is to examine the digital gender divide in the European Union (EU) countries by applying two widely used indicators: percentage of the population who has used the Internet in the last 3 months (ICT-USE indicator) and percentage of the population who has made an online purchase in the last 3 months (ICT-PURCHASE indicator). With these indicators, the digital gender gaps are shown in absolute and relative terms. In addition, the European convergence beta and sigma, between the years 2007 and 2019, is also analyzed. The results among European countries show that the ICT-USE indicator has a lower dispersion than the ICT-PURCHASE indicator; hence, in general, the digital gender divide or gap is usually lower when ICT-USE is used in comparison with ICT-PURCHASE. The highest values of the digital gender gap in the EU, regardless of the indicator used, are found in Croatia and Italy, reflecting an unfavorable position for women. Ireland is also in this group, but in its case, the results show an unfavorable position for men. Additionally, Cyprus does not register gender differences in either of the two indicators analyzed. Finally, the convergence between European countries is corroborated, both in the indicators analyzed and in the different gender digital gaps built.
Subject
General Economics, Econometrics and Finance
Reference44 articles.
1. Acemoğlu, D. (2021). Remaking the post-COVID world. To reverse widening inequality, keep a tight rein on automation. Finance & Development, 58(1), 4–9.
2. Acemoğlu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30.
3. Antonio, A., & Tuffley, D. (2014). The gender digital divide in developing countries. Future Internet, 6(4), 673–687. 10.3390/fi6040673.
4. Autor, D. H. (2015). Why are there still so many jobs? the history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.
5. Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration, Quarterly Journal of Economics, 118(4), 1279–1333.
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献