Comprehensive assessment of the citizen wellbeing in the territory of residence: taking into account the changing influence of indicators economic security
Research Article
Acknowledgments
The article was prepared with the financial support of the RFBR grant No.19-010-00100 «Harmonization of the population–power–business triad as a basis for progressive socio-economic development of Russian regions»
How to Cite
Kuklin A.A., Okhotnikov S.A. Comprehensive assessment of the citizen wellbeing in the territory of residence: taking into account the changing influence of indicators economic security. Living Standards of the Population in the Regions of Russia. 2021. Vol. 17. No. 4. P. 491-502. DOI: https://doi.org/10.19181/lsprr.2021.17.4.6 (in Russ.).
Abstract
The article considers a generalizing characteristic of the citizen's wellbeing in the territory of residence, assesses indicators based on statistical data, and makes adjustments due to safety indicators. The author's diagnostic technique was used, which includes corrective indicators. For this purpose, the method of express diagnostics was applied, which made it possible to select the 8 most significant from 12 modules and 43 indicators of economic security. The rate of change of each of the 8 indicators was taken into account, which made it possible to determine the changes in these indicators and the predisposition to one degree or another of the socio-economic crisis. A change in the trend of an indicator can lead to the opposite effect at the expense of other main influencing indexes. This takes into account the borderline state of the indicator, namely, its rate of growth or decline and predisposition to a particular crisis zone. The turning zones of the trend of changes in indicators have been determined. The object of the research is the well-being of the individual in the territory of residence for each subject of the Ural Federal District. The authors made an attempt to consider in the analysis not just the population of the subject (the number of people), but also to assess the personality from the standpoint of moral development, the level of education, the available opportunities for spiritual development, the provision of benefits necessary to maintain life and the degree of satisfaction of the needs of the population. This will allow to carry out the current analysis of the state, but also to consider the forecast dynamics of change for the next 2 to 3 years. The results obtained can be used in the current assessment of the socio-economic situation in the regions of Russia, as well as in planning and forecasting individual indicators of individual citizen wellbeing in the territory of residence
Keywords:
citizen wellbeing, a territory of residence, economic security, socioeconomic threats, express diagnostics, correction factors
References
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2. Anan'yev B.G. Izbrannyye psikhologicheskiye trudy: v 2 t. [Selected psychological works in two volumes]. Ed. by A.A. Bodaleva, B.F. Lomova, N.V. Kuz'mina. Moscow: Pedagogika. 1980. Vol. 2. 286 p. (In Russ.).
3. Glaz'ev, S.Yu. Genotsid. Rossiya i novyy mirovoy poryadok. Strategiya ekono-micheskogo rosta na poroge XXI veka [Genocide. Russia and new world order. The Strategy of the economics growth on the threshold of the 21st century]. Moscow: Astra sem'. 188 p. (In Russ.).
4. Kuklin A.A., Klevakin A.N. Socioeconomic consequences of illicit trafficking in psychoactive substances in the region. Ekaterinburg: Institute of Economics of the Ural Branch of the Russian Academy of Sciences. 2019. 257 p. (In Russ.).
5. Kuklin, A. A., & Okhotnikov, S. A. Assessment of Regional Economic Security: Reality vs. Pseudo-Security. Journal of Economic Theory. 2020. Vol. 17. No. 3. 600-613. DOI: 10.31063/2073-6517/2020.17-3.7 (In Russ.).
6. Complex methodology for assessing the wellbeing of citizens in the territory of their residence. Ed. by Kuklin A.A., Chichkanov V.P et al. second edition. Ekaterinburg: Institute of Economics of the Ural Branch of RAS. 2017. 164 p. (In Russ.).
7. Platonov K.K. Struktura i razvitiye lichnosti [Structure and development of a personality]. Moscow: Nauka. 1986. 256 p. (In Russ.).
8. Senchagov, V.K. Economic security as the basis for ensuring the national security of Russia. Voprosy ekonomiki. 2001. No. 8. P.64-79. (In Russ.).
9. Senchagov V.K. Ekonomicheskaya bezopasnost’ Rossii. Obshchiy kurs [Economic security of Russia. General course]. Moscow: Delo. 2005. 896 p. (In Russ.).
10. Senchagov, V.K. On the essence and foundations of the strategy of economic security of Russia. Voprosy ekonomiki. 1995. No. 1. P. 97-106 (In Russ.).
11. Shcherbatykh U.V. Obshchaya psikhologiya [General psychology]. Zavtra ekzamen. Saint Petersburg. 2008. 272 p. (In Russ.).
12. Blanchard O., Katz L. Regional Evolutions. Brookings Papers on Economic Activity. 1992. No. 1. P. 1-75. DOI: 10.2307/2534556.
13. Doran J., Fingleton B. Economic shocks and growth: Spatio-temporal perspectives on Europe’s economies in a time of crisis. Papers in Regional Science. 2014. Vol. 93 (Suppl. 1). P. 137-166. DOI: 10.1111/pirs.12048.
14. Ferreira P., de Area LeãoPereira É.J., Fernandes da Silva M., Borges Pereira H. Detrended correlation coefficients between oil and stock markets: The effect of the 2008 crisis. Physica A: Statistical Mechanics and its Applications. 2019. Vol. 517. P. 86-96. DOI: 10.1016/j.physa.2018.11.021.
15. Galbraith J. The Affluent society. Cambridge: The Riverside Press. 1958. 286 p.
16. İşcanoğlu-Çekiç A., Gülteki̇n H. Are cross-correlations 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. DOI: 10.1016/j.physa.2019.03.074.
17. Dean R.T., Dunsmuir W.T.M. Dangers and uses of cross-correlation in analyzing time series in perception, performance, movement, and neuroscience: The importance of constructing transfer function autoregressive model. Behavior Research Methods. 2016. Vol. 48. No. 2. P. 783-802. DOI: 10.3758/s13428-015-0611-2.
18. Qin J, Ge J, Lu X. 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. DOI: 10.1016/j.physa.2018.04.068.
19. 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. P. 122960. DOI: 10.1016/j.physa.2019.122960.
Article
Received: 10.08.2021
Accepted: 03.12.2021
Citation Formats
Other cite formats:
APA
Kuklin, A. A., & Okhotnikov, S. A. (2021). Comprehensive assessment of the citizen wellbeing in the territory of residence: taking into account the changing influence of indicators economic security. Living Standards of the Population in the Regions of Russia, 17(4), 491-502. https://doi.org/10.19181/lsprr.2021.17.4.6
Section
ECONOMIC RESEARCH
