Issue |
E3S Web Conf.
Volume 431, 2023
XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023)
|
|
---|---|---|
Article Number | 07034 | |
Number of page(s) | 7 | |
Section | Environmental Economic, Policy and Law | |
DOI | https://doi.org/10.1051/e3sconf/202343107034 | |
Published online | 13 October 2023 |
Social stratification of households in the context of the digital divide
1 Kazan Federal University, Kremlevskaya str. 18, 420018 Kazan, Russia
2 Moscow Metropolitan Governance University, Sretenka str. 28, 107045 Moscow, Russia
* Corresponding author: s_ryslan@mail.ru
To study issues of social deprivation and inequality, scientists explore factors, correlations and various indices and models. The deprivation indices are used in many countries to target interventions and policies to populations with the greatest needs. The aim of this research is to construct stratification scale of Russian households for the period of Covid-19 pandemic to study their social deprivation. The data source for household social deprivation is the Russian Longitudinal Monitoring Survey (RLMS-HSE). The results show that the digital divide of households in extreme poverty greatly increases their social exclusion and increases social deprivation. About 50% of extremely poor households live in rural areas. It confirms the ongoing income stratification of urban and rural residents. About 30% of households do not own a car. In the context of the restrictions of the self-isolation regime, this is a significant factor in social exclusion. Low incomes and material deprivation do not allow such households to change this situation. Even not all rich households have access to high-speed Internet. This may be due to the underdevelopment of high-speed Internet infrastructure.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.