BIO Web Conf.
Volume 83, 2024International Conference Scientific and Technological Development of the Agro-Industrial Complex for the Purposes of Sustainable Development (STDAIC-2023)
|Number of page(s)
|Economy of Agro-Industrial Complex and Sustainable Development of Agricultural Regions
|04 January 2024
Interdependence of the rural housing stock and the rural population: a scientific perspective
1 Kyrgyz-Russian Slavic University named after the First President of the Russian Federation B.N. Yeltsin, Department of Construction, Bishkek, Kyrgyz Republic
2 Kyrgyz-Russian Slavic University named after the First President of the Russian Federation B.N. Yeltsin, Department of Economic Theory, Bishkek, Kyrgyz Republic
* Corresponding author: firstname.lastname@example.org
This scientific article addresses the pressing issue of providing decent housing for the rural population of the Kyrgyz Republic, which has arisen due to uneven development of demographic and housing trends in rural areas. The research aims to solve this regional problem by managing interdependent demographic and housing trends. The study employs a general scientific methodology to analyze the relationship between the rural population and the volume of rural housing stock. A methodological approach to solving the regional problem of housing provision is presented, including a statistical analysis of demographic and housing aspects in time and space. The main results of the study include data on the mutual influence of demographic and housing dynamics in rural areas and a comparative forecast of demographic and housing parameters of rural development until 2030. Recommendations are provided within the framework of the Republican housing program “My Home” for 2021-2026. This study is highly significant in terms of its practical applicability and relevance for the development of regional policy.
Key words: rural housing stock / rural population / village / housing supply / relationship / correlation.
© The Authors, published by EDP Sciences, 2024
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.
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