Количественная оценка уровня жизни населения регионов Российской Федерации
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Quantitative evaluation of the living standards of the Russian Federation regions

idShchukina N.A. Golub A.V.  

UDC 519.237.8
DOI: 10.26102/2310-6018/2020.29.2.014

  • Abstract
  • List of references
  • About authors

The study is devoted to the issue of assessing the living standards and quality of the Russian Federation regions in 2010-2018. An integral indicator is formed on the basis of the values of 33 socioeconomic indicators and acts as an indicator of assessing the living standards. Selected for the study indicators are combined into seven groups: the income level of the population, the level of development of the consumer market, the standard of housing and quality of housing conditions, level of development and availability of health and education, demographic indicators, employment and unemployment, as well as the environment. The information base of the study consists of official statistics for 2010-2018. Based on the results of the integral indicator calculations the distribution of Russian regions by the living standards is obtained. The changes dynamics in the average Russian integral indicator indicates a decrease in the living standards of over the period under review. To conduct a comparative analysis of changes in the living standard in the Russian Federation regions for each region, the total increments of the integral indicator and its components were obtained. These values formed a feature space for identifying homogeneous groups of regions by the total increment of each of the seven indicators using cluster analysis methods. As a result of the stable classification procedure, the Russian Federation regions were divided into three homogeneous groups and 13 atypical regions were identified. Atypical regions differ in subindex increments that are not typical for the selected groups. A significant disparity in the rate of change in the living standard was revealed. This characterizes the lack of effectiveness of state planning and implementation of social programs at the regional level.

1. Order of the Russian Federation Government of 13.02.2019 #207-r «On approval of the spatial development Strategy of the Russian Federation for the period up to 2025». Available at: http://static.government.ru/media/files/UVAlqUtT08o60RktoOXl22JjAe7irNxc.pdf (accessed 10.03.2020)

2. Kharitonova, T.V., Alexeyeva S.N. Living standard of the population: the main approaches to the evaluation of indexes. Volga Region Farmland. 2016; 2(39):133-140. (In Russ)

3. Bobkov V.N., Gulyugina A.A., Zlenko E.G., Odintsova E.V. Comparative Characteristics of Indicators of Living Standards and Quality of Life in Russian Regions: Subjects, Federal Districts, the Arctic Regions. The living standards of Russian regions. 2017;1(203):50-64. (In Russ)

4. Rudneva L.N., Mosyakina E. A. Assessment of the quality population life in the Russian Federation regions. Tyumen: TIU; 2016. (In Russ)

5. Zhmachinskii V.I., Сherneva R.I. Living standard evaluation technique. Economic Analysis: Theory and Practice. 2016;15(9):55-66. (In Russ)

6. Zhmachinskii V.I., Сherneva R.I. Analysis and assessment of poverty parameters by expert methods. Economic Analysis: Theory and Practice. 2018;17(6):1088–1099. (In Russ)

7. Zharomsky V. S. Building an integrated poverty measure by three poverty profiles. Population. 2019;22(1): 92-105. (In Russ)

8. Glushchenko K.P. The evaluation of inter-regional inequality. Spatial Economics. 2015;4:39-58. (In Russ)

9. Zubarevich N.V., Makarentseva A.O., Mkrtchyan N.V. Socio-demographic indicators: regional dimension. Economic development of Russia. 2017;3:90-100. (In Russ.)

10. Nikonets O.E., Sevryukova S.V. Socioeconomic situation of the Russian population in terms of income: an assessment of the development of the middle class. NGIEI Bulletin. 2018;1(92):117-129. (In Russ)

11. Bikeeva M.V. Analysis of the subsistence minimum as the criterion for assessing the poverty level of the population: the cluster approach. Social'no-ekonomicheskoe upravlenie: teoriya i praktika. 2018;1 (32):7-12. (In Russ)

12. Sobol T.S. Modern level and the living quality of the Russian population. Moscow Witte University. 2018;2(25):7-14. (In Russ)

13. Dendak G.M., Ivanova L.A., Afanasyeva L.A., Afanasiev A.A. Socio-economic inequality in Russia: the causes and ways to reduce inequalities in modern conditions. Journal of Economy and entrepreneurship. 2018;9(98):506-511. (In Russ)

14. Mishnina E.I., Mishnin M.N. Dynamics of the quality of life and human development in the Ryazan region. Economics: Yesterday, Today and Tomorrow. 2016;3:149-162. (In Russ)

15. Belekhova G.V., Rossoshanskii A.I. Standard of living as assessed by the population. Problems of territory's development. 2015;5(79):77-96. (In Russ)

16. Pishnyak A.I., Popova D.O. households’ standard of living and quality of life in Moscow: objective and subjective indicators. The Journal of Social policy studies. 2015;13(2):257- 272. (In Russ)

17. Grishina E.N., Lapteva I.P., Trusova L.N. Monetary revenues as a major indicator of the living standards of the population of Russia. Statistics and Economics. 2019;16(3):15-23. (In Russ)

18. Regions of Russia. Socio-economic indicators. Federal State of Statistics Service. Russia. 2019. Available at: https://www.gks.ru/folder/210/document/13204 (accessed 20.02.2020)

19. Tikhomirova T.M. Quantitative methods for assessing the state and loss of public health in Russian Regions. Federalism. 2016;1(81):43-64. (In Russ)

20. Tikhomirova T.M. Disease rates and losses: classification of Russian Regions on panel data/ Transport Business in Russia. 2012;3:3-8. (In Russ)

21. Tikhomirova T.M., Sukiasyan A.G. Influence of social adversity on assessments human potential. Federalism. 2018; 2: 64-78. (In Russ).

Shchukina Natalia Aleksandrovna
candidate of technical sciences
Email: shchukinan@yandex.ru

ORCID |

Plekhanov Russian University of Economics
Financial University under the Government of the Russian Federation

Moscow, Russian Federation

Golub Anton Vladimirovich

Email: a.golub@qiwi.com

QIWI Plc

Moscow, Russian Federation

Keywords: living standards, integral indicator, ranking, classification of regions, cluster analysis

For citation: Shchukina N.A. Golub A.V. Quantitative evaluation of the living standards of the Russian Federation regions. Modeling, Optimization and Information Technology. 2020;8(2). Available from: https://moit.vivt.ru/wp-content/uploads/2020/05/ShchukinaGolub_2_20_1.pdf DOI: 10.26102/2310-6018/2020.29.2.014 (In Russ).

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