Provision of Housing for Residents of the Far East: Statistical Analysis
https://doi.org/10.34023/2313-6383-2023-30-3-53-63
Abstract
Building on state statistics, the authors analyzed the situation with providing housing opportunities for residents of the Far Eastern Federal District (FEFD). The objective of the study is to define the housing stock characteristics of the macroregion. Based on the methods of statistical analysis applied by the authors, the following parameters of the FEFD housing stock are identified: differentiation of regions – constituent entities of the Russian Federation in terms of housing provision and housing improvement, the degree of housing satisfaction according toresident surveys, debt on housing loans and affordability of rental housing. The paper demonstrates differences in the positions of FEFD regions. The article concludes that additional funding of the FEFD regions through state programs since 2014 has not affected the growth of the FEFD housing stock, which in terms of specific indicators of housing provision, is below the Russian average (2018–2020). The authors argue that for several FEFD regions, there is a dire need to improve housing quality (this applies particularly to the Republic of Buryatia and the Trans-Baikal Territory).
About the Authors
I. M. SchneidermanRussian Federation
Inna M. Schneiderman – Cand. Sci. (Econ.), Head, Laboratory of Socio-Economic Problems of Housing Policy
32, Nakhimovsky Prospect, Moscow, 117218
A. V. Yarasheva
Russian Federation
Aziza V. Yarasheva – Dr. Sci. (Econ.), Professor, Head, Laboratory for Studies of Behavioral Economics
32, Nakhimovsky Prospect, Moscow, 117218
S. V. Makar
Russian Federation
Svetlana V. Makar – Dr. Sci. (Econ.), Associate Professor, Leading Researcher, Institute of Regional Economics and Inter-Budgetary Relations, Financial University under the Government of the Russian Federation; Professor, Department of Physical and Socio-Economic Geography, National Research Mordovia State University (MRSU)
49, Leningradsky Prospekt, Moscow, 125009
68, Bolshevistskaya Str., Saransk, 430005
References
1. Lubyanyi I.D. Improvement of Institutional Conditions of Quality of Life as One of the Aspects of the Problem of Quality-of-Life Management. Voprosy Ekonomicheskikh Nauk. 2017;4(86):8–14. (In Russ.)
2. Aleksandrova O.A., Yarasheva A.V. The Impact of the Economic Expectations on Financial Behavior of the Russian Population. Voprosy Statistiki. 2016;(5):70–79. (In Russ.)
3. Elakhovsky V.S. Measuring Regional Differen ces in Living Standards in Russia. Voprosy Statistiki. 2020;27(5):48–57. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-2020-27-5-48-57.
4. Makar S.V., Yarasheva A.V. Transformation of the Eurasian Space: The Influence of Demographic Factors on the Labor Potential of the Regions of the Russian Far East. In: Baklanov P.Ya., Moshkov A.V. (ed.) Socio-Geographical Structure and Dynamics of the Modern Eurasian Space: Challenges and Opportunities for Russia and Its Regions: Proceedings of the International Scientific Conference Within the Framework of the XI Annual Scientific Assembly ofAssociation of Russian Human Geographers (ARHG), Vladivostok, September 14–20, 2020. Vladivostok: Pacific Institute of Geography FEB RAS; 2020. P. 409–412. (In Russ.)
5. Fomin M.V. et al. Socio-Economic and Demographic Analysis of Spatial Development of the Republic of Sakha (Yakutia). Voprosy Statistiki. 2021;28(4):96–106. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-2021-28-4-96-106.
6. Parfenova K.V., Faleychik L.M. Demographic Behavior of the Population of the Trans-Baikal Territory. Voprosy Statistiki. 2020;27(2):63–73. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-2020-27-2-63-73.
7. Bochenina M.V. The Application of Cointegration Method for Structural Data in the Estate Market Analysis. Voprosy Statistiki. 2021;28(5):79–85. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-2021-28-5-79-85.
8. Yarasheva A.V., Makar S.V. Regional Housing Problems of the Population: Far Eastern Federal District. Population. 2022;25(3):89–102. Available from: https://doi.org/10.19181/population.2022.25.3.7.
9. Yarasheva A.V., Makar S.V., Reshetnikov S.B. The Credit Strategies of the Russians as the Reflection of the Mo del of Financial Behaviour. Finance: Theory and Practice. 2017;21(6):138–153. (In Russ.) Available from: https://doi.org/10.26794/2587-5671-2017-21-6-242-249.
10. Shneiderman I.M., Yarasheva A.V. Population Borrowing Behavior: Trends and Risks. Voprosy Statistiki. 2019;26(3):15–22. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-2019-26-3-15-22.
11. Shneiderman I.M., Yarasheva A.V., Makar S.V. Financial Behavior of the Russian Population: Regional Differences. Voprosy Statistiki. 2021;28(6):59–68. (In Russ.) Available from: https://doi.org/10.34023/2313-6383-2021-28-6-59-68.
12. Obukhova O.V., Polyakova E.M. State Program «Far-Eastern Mortgage» as the Means of Solving Social and Economic Problems of Russian Far East. International Research Journal. 2020;8-2(98):142–144. (In Russ.) Available from: https://doi.org/10.23670/IRJ.2020.98.8.059.
13. Yarasheva A.V., Makar S.V. The impact of demographic factors on labor potential of the Far East regions. Ekonomika. Nalogi. Pravo = Economics, Taxes & Law. 2019;12(2):103–114. (In Russ.) Available from: https://doi.org/10.26794/1999–849X2019–12–2-103-114.
14. Gnezdilov E. A., Mannapova A.N. Housing Construction as the Basis of Security Social Stability in the Region. Fundamental Research. 2018;12(2):234–239. (In Russ.)
15. Nozdrina N.N., Minchenko M.M., Yankov K.V. Analysis of the State of the Housing Stock of the Far Eastern Regions. Problems of Forecasting. 2021;5(188):111–123. (In Russ.). Available from: https://doi.org/10.47711/0868-6351-188-111-123.
16. Yarasheva A.V., Makar S.V. Regional Housing Problems of the Population: Far Eastern Federal District. Population. 2022;25(3):89–102. (In Russ.) Available from: https://doi.org/10.19181/population.2022.25.3.7.
17. Obukhova O.V., Matveeva A.V. Preliminary Results of the Implementation of the State Program «Far Eastern Mortgage». In: Modernization of Scientific Infrastructure and Digitalization of Education. In 2 Parts. Materials oftheXIInternational Scientific and Practical Conference, Rostov-on-Don, June 23, 2021. Rostov-on-Don; 2021. P. 462–465. (In Russ.)
18. Cherkasova S.A. Development of the Market of Affordable Rental Housing and Non-Commercial Housing Stock. In: Mullahmedova S.S. (ed.) Management: Theory, Methodology and Practice. Materials of the Regional Scientific and Practical Conference Dedicated to the Memory of Professor T.K. Abdullayev, Doctor of Economic Sciences. Information and Printing Center of DSTU; 2019. P. 250–252. (In Russ.)
19. Tsypin A.P., Ledneva O.V. Statistical Analysis of Regularities of the Market of Rent Housing of Kazan. The Eurasian Scientific Journal. 2020;12(6):21. (In Russ.)
20. Gasilov V.V., Pol’shchikov D.V. Methodology for Assessing the Socio-Economic Efficiency of Rental Housing Construction Projects. Yuriskonsul't v Stroitel'stve. 2021;(2):33–38. (In Russ.)
21. Borisenko A.V. Rental (Hire) Housing as a Way to Satisfy the Housing Needs of Citizens. In: Society, Economics and Law: Challenges of the Present and Tendencies of Development: electronic collection of articles based on the materials of the III International Scientific and Practical Conference, Held on December 23, 2021. Volgograd: Sfera Publ.; 2021. P. 47–50. (In Russ.)
22. Schneiderman I.M. et al. The Problems of Dilapidated and Emergency Housing in Russia. Population. 2019;22(4):18–35. Available from: https://doi.org/10.24411/1561-7785-2019-00036.
Review
For citations:
Schneiderman I.M., Yarasheva A.V., Makar S.V. Provision of Housing for Residents of the Far East: Statistical Analysis. Voprosy statistiki. 2023;30(3):53-63. (In Russ.) https://doi.org/10.34023/2313-6383-2023-30-3-53-63