| Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
|---|---|---|
| Article Number | 07043 | |
| Number of page(s) | 7 | |
| Section | Psychology of Environmentally Responsible Behavior | |
| DOI | https://doi.org/10.1051/e3sconf/202125807043 | |
| Published online | 20 May 2021 | |
Sustainable housing in the Russian regions
1 Ufa state petroleum technological university, 1, Kosmonavtov str., 450062, Ufa, Russia
2 Bashkir State University, 32, Zaki Validi str., 450076, Ufa, Russia
3 Chelyabinsk State University, Chelyabinsk, Russia
4 State Autonomous Scientific Department Institute of Oil and Gas Technologies and New Materials, 129/3, pr. Oktyabtya, 450075, Ufa, Russia
* Corresponding author: nur125@yandex.ru
Social living conditions and related problems are one of the key indicators of the level and rate of socio-economic development of modern society. The housing problem is characterized by several indicators: the housing deficit (quantitative indicator); high cost of housing (financial indicator); the incompatibility of the structure of the housing stock to the demographic structure of families (structural indicator); the incompatibility of existing housing stock requirements to consumer housing quality (quality indicator); the incompatibility of the requirements to maintenance condition of the housing stock (operational indicator); location of housing (infrastructure, environmental and logistics indicators). The purpose of this study is to analyze and highlight the degree of influence of the main factors on the quantitative indicators of the housing problem based on statistical data over the past few years. A statistical analysis of the impact of various factors on the price of housing in three regions of the Russian Federation is conducted. It is established that the main factor influencing the price of housing is the average per capita income of the population.
© The Authors, published by EDP Sciences, 2021
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.