Welfare of the Individual in the crisis of the regional socioeconomic system

Research Article
  • Valery P. Chichkanov RAS Presidium, Moscow, Russian Federation vpchichkanov@yandex.ru ORCID ID https://orcid.org/0000-0002-3586-7486
    Elibrary Author_id 547330
  • Alexander A. Kuklin Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation alexkuklin49@mail.ru
    Elibrary Author_id 147036
  • Sergey A. Okhotnikov Oxford Language Centre, Ekaterinburg, Russian Federation sohotnikov@gmail.com ORCID ID https://orcid.org/0000-0002-5320-3130
    Elibrary Author_id 511720
  • Ilya V. Korobkov Closed Joint Stock Company «Vostochnii veter», Ekaterinburg, Russian Federation handfullofvoid@g.mail.ru
Acknowledgments
This article was supported by of the Russian Foundation of Basic Research grant №20-010-00100 «Harmonization of the «society-authority-business» triad as the basis for the progressive socio-economic development of Russian regions»
How to Cite
Chichkanov V.P., Kuklin A.A., Okhotnikov S.A., Korobkov I.V. Welfare of the Individual in the crisis of the regional socioeconomic system. Living Standards of the Population in the Regions of Russia. 2020. Vol. 16. No. 3. P. 49-58. DOI: https://doi.org/10.19181/lsprr.2020.16.3.4 (in Russ.).

Abstract

The object of the study. Regional economy. The subject of the study. Socio-economic relations, which transform into conditions that cause threats and affect the level of personal welfare in the territory of residence. The Purpose of the study. Diagnosing the welfare of the individual in the territory of residence taking into account the impact of the security and cooperation in the region. The Main Aspects of the Article. 1. A modular scheme of the welfare of the individual in the territory of residence is presented. Two insignificant modules for diagnosing the well-being of an individual in the territory of residence were removed and multicollenarity of indicators was excluded. 2. We developed an express-diagnostics of the welfare of the individual in the territory of residence taking into account the security and cooperation in the region based on cross-correlation function. The analysis of the mutual influence of economic security and welfare of the individual in the territory of residence with a gradation in the types of interaction is given. Three types of interaction have been identified: a) a simultaneous increase in indicators of welfare of individual in the territory of residence and indicators of economic security; b) indicators of economic security act as supporting elements for indicators of welfare of the individual in the territory of residence; c) stationary behavior of indicators of both modules. 3. The scalar potential of the interaction between economic security and of the welfare of individual in the territory is proposed, for which a stable position is allocated. This potential takes into account all three types of interaction of personal welfare in the territory of residence with economic potential. 4. The results of the subjects of the Ural Federal District are classified according to main types of crises. Comparison of the situation of the subjects of the Ural Federal District during the financial and economic crisis of 2008-2009 is considered in detail and that of stagnation period of 2016-2019.
Keywords:
express-diagnostics of the welfare of the individual in the territory of residence, security, potential, classification of the levels of crisis, crosscorrelation, an interaction matrix, a mutual influence function

Author Biographies

Valery P. Chichkanov, RAS Presidium, Moscow, Russian Federation
Advisor to the President of the Russian Academy of Sciences, corresponding member of RAS
Alexander A. Kuklin, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation
Doctor of Economics, Professor, Chief Researcher, Institute of Economics
Sergey A. Okhotnikov, Oxford Language Centre, Ekaterinburg, Russian Federation
Lecturer in Mathematics and Physics, Oxford Language Centre (11, Titova St., Ekaterinburg, Russian Federation, 620085)
Ilya V. Korobkov, Closed Joint Stock Company «Vostochnii veter», Ekaterinburg, Russian Federation
Developer

References

Aganbegyan A.G. Saving of the Russian population is questionable. Population. 2018. Vol. 21. No. 4. P. 4-13. DOI: 10.26653/1561-7785-2018-21-4-01 (In Russ.).

Aganbegyan A.G. On urgent measures to resume social and economic growth. Studies on Russian Economic Development. 2019. No.1. P.3-15. (In Russ.).

Diagnostika i reagirovanie na ugrozy social'noekonomicheskomu razvitiyu regionov [Diagnostics and response to threats to the socioeconomic development of regions]. Ed. by V. A. Chereshnev, V. P. Chichkanov, A. A. Kuklin. Yekaterinburg: Institute of Economics, Ural branch of the Russian Academy of Sciences. 2019. P. 383. ISBN 978-5-94646-626-4 (In Russ.).

Kompleksnaya metodika diagnostiki blagosostoyaniya lichnosti i territorii prozhivaniya [Complex method of diagnostics of welfare of the individual and territory of residence] / Kuklin A. A., Chichkanov V. P. and others; ed. by A. A. Kuklin and V. P. Chichkanov. 2nd ed., Yekaterinburg:

Institute of Economics, Ural branch of the Russian Academy of Sciences, 2017, 164 p. (In Russ.).

Kuklin A. A., Klevakin A. N. Social'no-ekonomicheskie posledstviya nezakonnogo oborota psihoaktivnyh veshchestv v regione [Socio-economic consequences of illegal turnover of psychoactive substances in the region]. Ed. V. P. Chichkanov. – Yekaterinburg: Institute of Economics, Ural branch of the Russian Academy of Sciences. 2019. 257 p. ISBN 978-5-94646-

618-9. (In Russ.).

Shirov A.A. Russian economy in 2019: problems and solution. Society and Economics 2019. No.10. P.5-12. DOI: 10.31857/S020736760007142-5 (In Russ.).

Frenkel A.A., Sergeenko Y.V., Surkov A.A. et al. Stagnation: for how long? Economic strategies 2019. No.6. P.90–96. DOI: 10.33917/es-6.164.2019.90-95 (In Russ.).

Attrd F. Thermodynamics and statistical mechanics. Elsevier Ltd. 2002. 450 p.

Ayşegül İşcanoğlu-Çekiç, Havva Gültekin Are crosscorrelations between Turkish Stock Exchange and three major country indices multifractal or monofractal? Physica A: Statistical Mechanics and its Applications. 2019. Vol. 525. P. 978-990. https://doi.org/10.1016/j.physa.2019.03.074

Boyd D.W. Systems analysis and modeling. A macro-to-micro approach with multidisciplinary applications. Elsevier Inc, 2001. 365 p.

Catlow C. R. A., Veronique Van Speybroeck and Rutger A. van Santen Modelling and Simulation in the Science of Micro- and Meso-Porous Materials. Elsevier Inc. 2018. 300 p.

Jing Qin, Jintian Ge, Xinsheng Lu The effectiveness of the monetary policy in China: New evidence from long-range cross-correlation analysis and the components of multifractality.

Physica A: Statistical Mechanics and its Applications. 2018. Vol. 506. P. 1026-1037. https://doi.org/10.1016/j.physa.2018.04.068

Hatutale J., Sheefeni S.J.P. Cross-Correlation Analysis of Interest Rates and Inflation in Namibia. Journal of Emerging Issues in Economics. Finance and Banking. 2013. Vol.2. P. 847-857.

Israelachvili J.N. Intermolecular and surface forces. Elsevier Inc. 2011. 704 p.

Matyjaszewski K., Möller M. Polymer Science: A Comprehensive Reference. Elsevier Science. 2012. 7760 p.

Menke W. and Menke J. Environmental Data Analysis with Matlab. Elsevier Inc. 2016. 342 p.

Roger T. D., William T. M. D. Dangers and uses of crosscorrelation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive models. Behav Res Methods. 2016. Vol.48(2). P. 783-802. DOI: 10.3758/s13428-015-0611-2

Zhang N., Lin A., Yang P. Detrended moving average partial cross-correlation analysis on financial time series. Physica A: statistical mechanics and its applications. 2020. Vol. 542. DOI: 10.1016/j.physa.2019.122960
Article

Received: 23.06.2020

Accepted: 14.08.2020

Citation Formats
Other cite formats:

APA
Chichkanov, V. P., Kuklin, A. A., Okhotnikov, S. A., & Korobkov, I. V. (2020). Welfare of the Individual in the crisis of the regional socioeconomic system. Living Standards of the Population in the Regions of Russia, 16(3), 49-58. https://doi.org/10.19181/lsprr.2020.16.3.4