The Digital Use Divide Between Males and Females at Different Levels of Aggregation
Jeffrey James ()
Additional contact information
Jeffrey James: Tilburg University
Chapter Chapter 5 in Gender, Internet Use, and Covid-19 in the Global South, 2022, pp 49-62 from Springer
Abstract:
Abstract This chapter departs from most studies of the gender use divide in the mobile Internet, in that it deals with the topic at different levels of aggregation, namely the global, the regions of the world, developing countries and intra-country. Broadly, the results accord with what one would expect, namely, that there is a bias against females in the use of the mobile Internet at the different levels (using the most recent data from international institutions that are concerned with the issue). But at lower levels of aggregation, there are cases where relatively poor countries perform much better than expected, or where cases can be found that are intended to, and are in some cases, successful in reducing the gender digital divide in mobile Internet use. Many of these are to be found in India and have already spread to other countries in the Global South. Overall, these examples support the view that a reduction in the gender divide requires much more attention than it has hitherto been granted.
Keywords: Gender digital use divide; Levels of aggregation; Poor countries; Outliers; India (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:spbchp:978-3-031-15576-5_5
Ordering information: This item can be ordered from
http://www.springer.com/9783031155765
DOI: 10.1007/978-3-031-15576-5_5
Access Statistics for this chapter
More chapters in SpringerBriefs in Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().