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THE SCIENTIFIC AND METHODOLOGICAL ASPECTS OF THE PROBLEM OF MIGRATION PROCESSES MODELING IN THE SUBJECTS OF THE RUSSIAN FEDERATION

https://doi.org/10.26794/2587-5671-2018-22-3-100-111

Abstract

The complexity and diversity of the processes of spatial mobility of the population make forecasting of those processes one of the most difficult in practical terms. However, without a clear understanding of trends in this area, it is impossible to effectively manage the overall development of the regional system and its financial subsystem. Based on this, the purpose of the study is to identify the current trends in the formation of migration processes in the regions of the Russian Federation and the development of model tools to formalize the processes under consideration. To achieve this goal, we carried out a statistical analysis, based on the hypothesis of the mutual influence of the socio-economic development of the region and changes in the values of indicators characterizing the migration processes that are the object of the study. We applied the methods of structural, dynamic and factor, correlation and regression analysis. We calculated a set of regression equations describing the relationship between the obtained indicators of social, economic, financial development of the territory and the coefficients of migration growth, taking into account the territorial belonging of the regions, and allowing to conduct model experiments to predict the level of migration in individual regions and in the context of territorial macro-systems. The proposed approach was based on statistical data on the constituent entities of the Russian Federation for 2010–2015. In particular, we conducted the procedure of normalization of the selected indicators by subjects of the Russian Federation (2000 figures). Further, we determined of weight characteristics, calculated integral indicators generated from a regression equation, estimated their quality and analyzed the causes of deviations of calculated values from actual ones. We developed a system of regression equations with a sufficient degree of accuracy which describes the migration processes taking place in the subjects of the Russian Federation under the influence of the combined influence of socio-economic development indicators. It can be used for practical purposes, including the terms of achieving certain financial indicators of regional development.

About the Authors

R. V. Fattakhov
Financial university
Russian Federation

Dr. Sci. (Econ.), professor, head of Macro and regional development department,

Moscow



M. M. Nizamutdinov
Institute of social and economic research, Ufa Federal Research Center of the Russian Academy of Sciences
Russian Federation

Cand. Sci. (Tech.), associate professor, head of sector of economic and mathematical modeling, 

Ufa



V. V. Oreshnikov
Institute of social and economic research, Ufa Federal Research Center of the Russian Academy of Sciences
Russian Federation

Cand. Sci. (Econ.), scientific economic-mathematical modeling sector, 

Ufa



References

1. Harker K. Immigrant generation, assimilation, and adolescent psychological well-being. Social Forces, 2001;79(3):969–1004. DOI: 10.1353/sof.2001.0010

2. Oiarzabal P.J., Reips U.-D. Migration and diaspora in the age of information and communication technologies. Journal of Ethnic and Migration Studies. 2012;38(9):1333–1338. DOI: 10.1080/1369183X.2012.698202

3. Zaionchkovskaya Zh.A. Forecast of population migration. Sotsiologicheskii zhurnal = Sociological Journal. 1995;(3):22–26. (In Russ.).

4. Ivanter V.V., Suvorov A.V., Sutyagin V.S. The main objectives and principles of socio-economic forecasting. Upravlenie. 2015;3(1):8–17. DOI: 10.12737/8785 (In Russ.).

5. Reips U.-D., Buffardi L. Studying migrants with the help of the Internet: Methods from psychology. Journal of Ethnic and Migration Studies. 2012;38(9):1405–1424. DOI: 10.1080/1369183X.2012.698208

6. Zubarevich N.V. Development of the Russian space: Barriers and opportunities for regional policy. Mir novoi ekonomiki = The World of New Economy. 2017;11(2):46–57. (In Russ.).

7. Stroyev P.V.Transformation of the spatial structure of Russia. Vestnik Instituta ekonomiki Rossiiskoi akademii nauk = Bulletin of the Institute of Economics of the Russian Academy of Sciences. 2014;(4):61–70. (In Russ.).

8. Ivanov P.A., Tyutyunnikova T.I. Financial resources of the households as a reserve for economic growth of Russian regions. Sovremennye problemy nauki i obrazovaniya. 2015;(1–1):625. URL: http://www.science-education.ru/ru/ article/view?id=18264 (accessed 18.05.2018). (In Russ.).

9. Kleyner G.B. System management in a transforming economy. Effektivnoe antikrizisnoe upravlenie. 2014;(5):54–59. (In Russ.).

10. Bun’kovskii D.V. Shadow economy: Analysis of development. Vestnik Vostochno-Sibirskogo instituta MVD Rossii. 2015;(4):107–116. (In Russ.).

11. Boneva B.S., Frieze I.H. Toward a concept of migrant personality. Journal of Social Issues. 2001;57(3):477–491. DOI: 10.1111/0022–4537.00224

12. Fattakhov R.V., Nizamutdinov M.M., Oreshnikov V.V. Tools for justifying the parameters of strategic regional development based on adaptive simulation. Region: ekonomika i sotsiologiya = Region: Economics and Sociology. 2017;(1):101–120. (In Russ.). DOI: 10.15372/REG20170105

13. Mayer A., Malin S.A., Olson-Hazboun Sh.K. Unhollowing rural America? Rural human capital flight and the demographic consequences of the oil and gas boom. Population and Environment. 2018;39(3):219–238. DOI: 10.1007/ s11111–017–0288–9

14. Lu Y., Tao R. Female migration, cultural context, and son preference in rural China. Population Research and Policy Review. 2015;34(5):665–686. DOI: 10.1007/s11113–015–9357-x

15. Huang Y., South S.J., Spring A. Racial differences in neighborhood attainment: The contributions of interneighborhood migration and in situ change. Demography. 2017;54(5):1819–1843. DOI: 10.1007/s13524–017– 0606-y

16. Duncan G.J., Kalil A., Ziol-Guest K.M.Increasing inequality in parent incomes and children’s schooling. Demography. 2017;54(5):1603–1626. DOI: 10.1007/s13524–017–0600–4

17. Fattakhov R.V., Nizamuttdinov M.M., Oreshnikov V.V. Russia regions’ population spatial mobility analysis: Trends and regulation mechanisms. Ekonomika v promyshlennosti = Economy in the Industry. 2017;10(2):162–171. DOI: 10.17073/2072–1633–2017–2–162–171 (In Russ.).

18. Plakhin A. Ye., Kokovikhin A. Yu., Ogorodnikova Ye.S., Suslov S.A. Evaluation of the influence of infrastructural projects on the development of the territory. Vestnik NGIEI = Herald of NGIEI. 2017;(11):139–147. (In Russ.).

19. Deleva Ž.Conceptualizing migration in Europe: Selected theoretical approaches. IESIR Working Paper. 2010;(4):3–40.

20. FeshchenkoV.V.Tachkova I.A., Chervakov R.O. Methodological bases of social and economic efficiency of regional development. Ekonomika i predprinimatel’stvo = Journal of Economy and Entrepreneurship. 2017;(8–4):365–372. (In Russ.).

21. Uzyakov M.N. On the quality of scientific foresight. Problemy prognozirovaniya = Studies on Russian Economic Development. 2008;(1):3–17. (In Russ.).


Review

For citations:


Fattakhov R.V., Nizamutdinov M.M., Oreshnikov V.V. THE SCIENTIFIC AND METHODOLOGICAL ASPECTS OF THE PROBLEM OF MIGRATION PROCESSES MODELING IN THE SUBJECTS OF THE RUSSIAN FEDERATION. Finance: Theory and Practice. 2018;22(3):100-111. (In Russ.) https://doi.org/10.26794/2587-5671-2018-22-3-100-111

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