Welfare of the Individual in the crisis of the regional socioeconomic system
Research Article
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
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618-9. (In Russ.).
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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
Section
ECONOMIC RESEARCH