Ufa, Ufa, Russian Federation
Ufa, Russian Federation
Socio-economic development of territories depends on many factors, one of which is the region population. Therefore, managing the migration flows is an important tool for solving various demographic, socio-economic and other problems. In recent years, the Republic of Bashkortostan has seen a continuous migration population outflow both to different regions of the Russian Federation and to other countries, which indicates that for the effective development of the territories it is necessary to regulate the region migration flows. To do this, it seems appropriate to increase the attractiveness level of the region municipalities. In this regard, this article is devoted to the intellectual analysis of the attractiveness of the Bashkortostan Republic municipalities based on scenario forecasting and geo information technologies, which will improve the decision-making efficiency in forming the Republic of Bashkortostan migration policy. In the study course, an analysis of existing approaches used in this subject area is carried out, a methodology for determining the attractiveness coefficient of municipalities is considered, and the results of predictive calculations of the region territory attractiveness are presented.
geo-information system, monitoring the attractiveness of municipalities, coefficient of territory attractiveness, scenario forecasting of the attractiveness of the Bashkortostan Republic municipalities
1. Akhmetzyanova M.I. Geoinformation Systems and Technologies: Master’s Thesis on Specialty: 09.04.02. Ufa: Ufa State Aviation Technical University; 2021.
2. Territorial Body of the Federal State Statistics Service for the Republic of Bashkortostan [Internet]. Ufa [cited 2022 Sep 30]. Available from: https://bashstat.gks.ru/folder/21308
3. Christodulo O.I., Akhmetzyanova M.I. De-velopment of a Geo-Information System for Monitoring the Attractiveness of Municipalities Using Parametric, Structural Approaches (Case of Republic of Bashkortostan). International Journal of Open Information Technologies. 2021;9(9):122-132.
4. Denisenko M., Mukomel V. Labour Migration in Russia during the Coronovirus Pandemic. Demographic Review. 2020;7(3):84-107.
5. RIA Rating [Internet]. Moscow [cited 2022 Sep 30]. Available from: https://riarating.ru/infografika/20210531/630201353.html
6. Rozenberg I.N., Geoinformation Modelling as a Fundamental Method of Cognition. Perspectives of Science and Education. 2016;3(21):12-15.
7. Atnabaeva A.R., Akhmetzyanova M.I. Geo-graphical Information System for Monitoring the Attractiveness of Municipalities in the Republic of Bashkortostan. The Eurasian Scientific Journal. [Internet] [cited 2022 Oct 29]. Available from: https://esj.today/PDF/24ECVN621.pdf. doi:https://doi.org/10.15862/24ECVN621
8. Suprunchuk IP, Chichikhin VV, Polyan PM. Multi-Scale Analysis of Migration Processes in the South of Russia Using Geoinformation Monitoring Tools. In: Proceedings of the 21st International Conference: Advanced Science; 2020 Jan 17; Penza: Science and Education: 2020. p. 283-287.
9. Shitova Yu.Yu., Shitov Yu.A. Gis Monitoring Pendulum Labour Migration as a Problem of Regional Governance. Modern Management Tech-nology [Internet]. 2022 Feb. Available from: https://sovman.ru/article/6206/
10. Akhmetzyanova M.I. Atnabaev A.R. Research of the Attractiveness of Municipal Districts and Cities of the Republic of Bashkortostan Using Component and Cluster Analyzes. The Eurasian Scientific Journal [Internet] [cited 2022 Apr 8]. Available from: https://esj.today/PDF/06ECVN520.pdf
11. Decree of the Government of the Republic of Bashkortostan No. 624. On the Strategy of Social and Economic Development of the Republic of Bashkortostan for the Period until 2030. Ufa (Bashkortostan); 2018.
12. Decree No. 42-p. Regional Programme: Integrated Development of Single-Industry Towns of the Republic of Bashkortostan: Ufa (Bashkortostan); 2019.