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Development of statistical classifications to study the content and structure of the primary real estate market

https://doi.org/10.21686/2500-3925-2019-2-4-14

Abstract

Statistical study of the primary real estate market is always associated with the problem that the object is in a constant, and very intense change, both in quantitative terms and in its internal content. Therefore, the issues of constant adaptation of statistical methodology in relation to the primary real estate market are relevant continuously. Among the tasks that are constantly in the field of statistical science and practice in relation to the primary real estate market are the following. First, a critical analysis of the content of the modern primary real estate market, which should allow to identify its fundamental features as an object of statistical research, to systematize the economic relations of the subjects of this market segment for a comprehensive statistical analysis of its functioning and development in any region of Russia. Secondly, it is the construction of analytical classifications of the primary real estate market, systematization of criteria for their construction, which should allow for a qualitative analysis of the structure of this market segment in the modern market economy. Third, the continuous improvement of the system of statistical indicators of the primary real estate market, which should be constantly supplemented by various blocks of indicators, the use of which will link the development of the primary real estate market with indicators of the standard of living of the population and socio-economic development of a particular region on the basis of the formation and ordering of its various subsystems, which will increase their consistency with indicators of living standards and socio-economic development. To Develop the theory and statistical methodology of the complex study of the primary real estate market in terms of the development of criteria for the division of the object into homogeneous groups by typological characteristics and the construction on their basis of statistical classifications necessary for the structural analysis of the primary real estate market. To obtain scientific results in this article, General scientific methods of cognition, such as scientific abstraction, analysis and synthesis, are used, since it is a question of dividing a single whole into typologically homogeneous complexes, the organic relationship between which ensures the integrity and unity of the studied object – the primary real estate market. In addition, the use of the statistical grouping method is considered throughout the work, as it is an applied application of typological criteria. The main classification features of economic assets traded in the primary real estate market of the region are Substantiated and formulated. The development of criteria for the typological division of the object allowed to build statistical classifications necessary for a comprehensive analysis of the structure and structural changes in the primary real estate market. In the scientific article deals with the problematic aspects of a statistical study of the primary real estate market in parts of its etymology on the basis of clear criteria against which to understand the quality and properties of the traded on its economic assets, to build a statistical classification. All this is a step in the first stage of the statistical study in the sequence that is classically considered by the General theory of statistics. Statistical classifications and groupings by typological features precede the science-intensive substantiation and application of complex mathematical and static methods for factor analysis and forecasting of primary real estate market indicators.

About the Authors

D. V. Dianov
Kikot Moscow University of Russian MIA, Moscow
Russian Federation
Dr. Sci. (Economics), Professor, Professor of the Department of Economic Security, Finance and Economic Analysis


P. A. Smelov
Plekhanov Russian University of Economics, Moscow
Russian Federation
Cand. Sci. (Economics), Associate Professor, Director of Center of Statistics and Data science


References

1. Grishina O.P. Cadastral value = market value. From what moment do we apply? Aktual’nyye voprosy bukhgalterskogo ucheta i nalogooblozheniya = Actual issues of accounting and taxation. 2014; 15: 51–60. (In Russ.)

2. Suslov D.A. Reproduction cycle of socioeconomic development of regions. Ekonomika, Statistika i Informatika. Vestnik UMO = Economy, Statistics and Informatics. UMO Bulletin. 2008; 1: 19–23. (In Russ.)

3. Epikhin N.P. From 2015, some organizations on the simplified payment system will start paying property tax. Uproshchenka = Simplified system. 2014; 5: 46–52. (In Russ.)

4. Nakova M.R. Analysis of the use of cadastral registration and cadastral valuation of land in Russia for market operations and taxation. Ekonomika, statistika i informatika. Vestnik UMO = Economy, Statistics and Informatics. Bulletin of UMO. 2012; 2: 60–64. (In Russ.)

5. Gaunova M.R., Dianov D.V. Analysis of the best and most efficient use of land resources. Ekonomika, statistika i informatika. Vestnik UMO = Economics, statistics and computer science. Bulletin of UMO. 2009; 1–2: 35–38. (In Russ.)

6. Luk’yanchenko N. YU. Specially Protected Natural Territories of Russia [Internet]. Molodoy uchenyy = Young scientist. 2015; 24: 740–743. URL: https://moluch.ru/archive/104/24460/ (In Russ.)

7. YAkovleva I.A. Topical issues of the development of a system of specially protected natural areas [Internet]. Fundamental’nyye issledovaniya = Basic research. 2015; 12–2: 438–443. URL: http:// fundamental-research.ru/ru/article/view?id=39435 (In Russ.)

8. Damdyn O: Territorial Land Management [Internet]. Molodoy uchenyy = Young scientist. 2011; 5; 1: 172–174. URL: https://moluch.ru/ archive/28/3143/ (In Russ.)

9. Sutyagin V.YU. Notes on expert amendments. Imushchestvennyye otnosheniya v Rossiyskoy Federatsii = Property relations in the Russian Federation. 2015; 4 (163). (In Russ.)

10. Limonov S.V. Non-criminal methods of tax evasion. Vestnik akademii ekonomicheskoy bezopasnosti MVD Rossii = Bulletin of the Academy of Economic Security Ministry of Internal Affairs of Russia. 2011; 5: 100–112. (In Russ.)

11. Mustakimov N.S., Kondratenko Z.K. Privatization of land plots under immovable property in modern civil and land legislation. Istoricheskaya i sotsial’no-obrazovatel’naya mysl’ = Historical and socio-educational thought. 2015; 7; 7 (2): 139–142. (In Russ.)

12. Dianov D.V., Radugina E.A. Opportunities of statistical methodology in the study of the economic security of the region. Statistika i Ekonomika = Statistics and Economics. 2018; 15(6): 4–14. https://doi.org/10.21686/2500-3925-2018-6-4-14 (In Russ.)

13. Mikheyeva M.V. The main directions of ensuring the economic security of Russia in modern conditions. Vestnik Akademii Sledstvennogo komiteta Rossiyskoy Federatsii = Bulletin of the Academy of the Investigative Committee of the Russian Federation. 2016; 2 (8): 146–150. (In Russ.)

14. ZHechko O.O. Features of the acquisition of ownership of objects of shared unfinished construction. Sovremennaya nauka: aktual’nyye problemy teorii i praktiki. Seriya «Ekonomika i pravo» = Modern science: actual problems of theory and practice. Series «Economics and Law». 2017; 10: 79–82. (In Russ.)

15. Selezneva V.YU. Comparative characteristics of national tax consulting structures: current issues. Vestnik moskovskogo universiteta. Seriya 26. Gosudarstvennyy audit. = Bulletin of Moscow University. Series 26. State Audit. 2017; 1: 44–55. (In Russ.)

16. Borisova N.I., Zlobina K.A. Regional aspects of the functioning and modernization of housing and communal services in modern conditions [Internet]. Ekonomika i menedzhment innovatsionnykh tekhnologiy = Economics and management of innovative technologies. 2017; 3. URL: http://ekonomika.snauka.ru/2017/03/14364 (In Russ.)

17. Bezverbnaya M.YU. On the issue of classification and typology of real estate. Prolog: zhurnal o prave = Prologue: a journal of law. 2016; 4: 21–24. (In Russ.)

18. SHeremet N. G., Korotkov A; Economicstatistical analysis of the housing market [Internet]. Molodoy uchenyy = Young scientist. 2016; 5: 446– 452. URL: https://moluch.ru/archive/109/26373/ (In Russ.)

19. Volkov A. The main factors in the attraction of guests will always remain comfort, attention and service with a soul [Internet]. Akademiya gostepriimstva = Academy of Hospitality. 2018; 6. URL: http://hotel-rest.biz/article/aleksey-volovosnovnymi-faktorami-prityazheniya-gostey-vsegdabudut-ostavatsya-komfort (In Russ.)

20. Mikheyeva M.V. The theoretical basis for predicting the shadow segment of the corporate property market in Russia. Vestnik Moskovskogo universiteta MVD Rossii = Bulletin of Moscow University of the Ministry of Internal Affairs of Russia. 2014; 7: 79–80. (In Russ.)

21. Tuskayeva Z.R., Alikova Z.R. Regulation of the process of reproduction of fixed assets through the development of regional building clusters. Ekonomika stroitel’stva = Economics of construction. 2015; 5 (35): 52–59. (In Russ.)


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For citations:


Dianov D.V., Smelov P.A. Development of statistical classifications to study the content and structure of the primary real estate market. Statistics and Economics. 2019;16(2):4-14. (In Russ.) https://doi.org/10.21686/2500-3925-2019-2-4-14

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ISSN 2500-3925 (Print)