Statistical Assessment of the Impact of Socio-Economic Factors on the Russian Labour Force
Research Article
Acknowledgments
This research was carried out within the framework of the state task in the field of scientific activity of the Ministry of Science and Higher Education of the Russian Federation on the topic “Development of methodology and software platform for building digital twins, intelligent analysis and forecasting of complex economic systems”, project number FSSW-2020-0008.
How to Cite
Davletshina L.A., Sadovnikova N.A., Bezrukov A.V., Lebedinskaya O.G. Statistical Assessment of the Impact of Socio-Economic Factors on the Russian Labour Force. DEMIS. Demographic Research. 2022. Vol. 2. No. 4. P. 25-44. DOI: https://doi.org/10.19181/demis.2022.2.4.2 (in Russ.).
Abstract
Statistical study of the labor force allows us to solve many issues, both for the state and for enterprises of different levels by means of methodological and theoretical foundations in the field of labor force study. The article reviews the literature and methodological approaches characterizing the labor force in Russia. The authors consider information and methodological bases of the study, as well as the problems of studying the labor force in Russia. Based on the compiled information base, a system of indicators has been compiled for further research. The article analyzes the direction and speed of change in the total number of workers in the period from 2010 to 2020, both in Russia as a whole and in the context of federal districts. The territories that underwent the most significant transformations during the study period are identified. The paper considers the constituent elements of the labor force, including employment and unemployment of the population from the perspective of the direction and speed of change and structural transformations. In order to determine the key factors influencing the change in the number of workers, the article implements a correlation analysis. As a result, the dependencies of the seven most significant socio-economic indicators were revealed.
Keywords:
labor force, employment, unemployment, regional differentiation, dynamics, correlation analysis
References
1. Marx, K. Capital: Critique of Political Economy. Vol. 1. Book 1. The Process of Production of Capital / Transl. by I. I. Stepanov-Skvortsov, ver. and correct. ed. by V. Adoratsky, M. Saveliev ; Marx–Engels–Lenin Institute under the Central Committee of the All-Union Communist Party of Bolsheviks. Moscow : Partizdat, 1937. VIII, 854 p. (In Russ.)
2. Bulanov, V. S. Reproduction of Human and Labour Potentials in the Work System / V. S. Bulanov, A. B. Doktorovich. Labour and Social Relations. 2009. Vol. 20, No. 10. P. 9–17. (In Russ.)
3. Zhukov, A. L. Ways to Optimize the Ratio of Growth Rates of Labor Productivity and Wages. Social and Labour Research. 2020. No. 2 (39). P. 8–17. DOI 10.34022/2658-3712-2020-39-2-8-17. (In Russ.)
4. Zatepyakin, O. A. The Concept of Workforce: Classical and Neoclassical Approaches / O. A. Zatepyakin, D. Yu. Yasinskiy. Fundamental Research. 2017. No. 6. P. 137–142. (In Russ.)
5. Kuchmaeva, O. V. On Improvement of the Methodology for Calculating the Indicator “Average Wages” / O. V. Kuchmaeva, L. I. Ageeva, P. A. Smelov. Voprosy statistiki. 2015. No. 7. P. 3–9. (In Russ.)
6. Kovalev, V. V. Uchet, analiz i finansovyy menedzhment [Accounting, analysis and financial management] : study guide / V. V. Kovalev, Vit. V. Kovalev. Moscow : “Finansy i statistika” Publishing House, 2006. 686 p. ISBN 5-279-02862-2. (In Russ.)
7. Sadovnikova, N. A. Otsenka tendentsiy i prognoz urovnya oplaty truda regiona [Evaluation of trends and forecast of the level of remuneration in the region]. Bol’shaya Yevraziya: razvitiye, bezopasnost’, sotrudnichestvo [Greater Eurasia: development, security, cooperation]. Yearbook. Issue 3. Part 1. Proceedings of the XIX National Scientific Conference with International Participation, Moscow, December 18–19, 2019. Moscow : Institute of Scientific Information on Social Sciences of the Russian Academy of Sciences, 2020. P. 912–914. ISBN 978-5-248-00956-5. (In Russ.)
8. Dolgikh, E. A. Kharakteristika vozmozhnosti nayti rabotu v Rossiyskoy Federatsii [Characteristics of the opportunity to find a job in the Russian Federation] / E. A. Dolgikh, T. A. Pershina. Tendentsii razvitiya nauki i obrazovaniya [Trends in the development of science and education]. 2021. No. 71-5. P. 55–58. DOI 10.18411/lj-03-2021-175. (In Russ.)
9. Davletshina, L. A. Statistical Analysis of the Generalized Integral Indicator of the Socio-Economic Situation of the Subjects of the Russian Federation / L. A. Davletshina, T. A. Pershina. Vestnik Universiteta. 2018. No. 5. P. 11–19. DOI 10.26425/1816-4277-2018-5-11-19. (In Russ.)
10. Demografiya [Demography] : textbook and workshop / M. V. Karmanov, O. V. Kuchmaeva, E. A. Egorova [and ors]. 1st ed. Ser. 58 “Bachelor. Academic Course”. Moscow: Yurayt Publishing House, 2019. 287 p. ISB 978-5-534-01598-0. (In Russ.)
2. Bulanov, V. S. Reproduction of Human and Labour Potentials in the Work System / V. S. Bulanov, A. B. Doktorovich. Labour and Social Relations. 2009. Vol. 20, No. 10. P. 9–17. (In Russ.)
3. Zhukov, A. L. Ways to Optimize the Ratio of Growth Rates of Labor Productivity and Wages. Social and Labour Research. 2020. No. 2 (39). P. 8–17. DOI 10.34022/2658-3712-2020-39-2-8-17. (In Russ.)
4. Zatepyakin, O. A. The Concept of Workforce: Classical and Neoclassical Approaches / O. A. Zatepyakin, D. Yu. Yasinskiy. Fundamental Research. 2017. No. 6. P. 137–142. (In Russ.)
5. Kuchmaeva, O. V. On Improvement of the Methodology for Calculating the Indicator “Average Wages” / O. V. Kuchmaeva, L. I. Ageeva, P. A. Smelov. Voprosy statistiki. 2015. No. 7. P. 3–9. (In Russ.)
6. Kovalev, V. V. Uchet, analiz i finansovyy menedzhment [Accounting, analysis and financial management] : study guide / V. V. Kovalev, Vit. V. Kovalev. Moscow : “Finansy i statistika” Publishing House, 2006. 686 p. ISBN 5-279-02862-2. (In Russ.)
7. Sadovnikova, N. A. Otsenka tendentsiy i prognoz urovnya oplaty truda regiona [Evaluation of trends and forecast of the level of remuneration in the region]. Bol’shaya Yevraziya: razvitiye, bezopasnost’, sotrudnichestvo [Greater Eurasia: development, security, cooperation]. Yearbook. Issue 3. Part 1. Proceedings of the XIX National Scientific Conference with International Participation, Moscow, December 18–19, 2019. Moscow : Institute of Scientific Information on Social Sciences of the Russian Academy of Sciences, 2020. P. 912–914. ISBN 978-5-248-00956-5. (In Russ.)
8. Dolgikh, E. A. Kharakteristika vozmozhnosti nayti rabotu v Rossiyskoy Federatsii [Characteristics of the opportunity to find a job in the Russian Federation] / E. A. Dolgikh, T. A. Pershina. Tendentsii razvitiya nauki i obrazovaniya [Trends in the development of science and education]. 2021. No. 71-5. P. 55–58. DOI 10.18411/lj-03-2021-175. (In Russ.)
9. Davletshina, L. A. Statistical Analysis of the Generalized Integral Indicator of the Socio-Economic Situation of the Subjects of the Russian Federation / L. A. Davletshina, T. A. Pershina. Vestnik Universiteta. 2018. No. 5. P. 11–19. DOI 10.26425/1816-4277-2018-5-11-19. (In Russ.)
10. Demografiya [Demography] : textbook and workshop / M. V. Karmanov, O. V. Kuchmaeva, E. A. Egorova [and ors]. 1st ed. Ser. 58 “Bachelor. Academic Course”. Moscow: Yurayt Publishing House, 2019. 287 p. ISB 978-5-534-01598-0. (In Russ.)
Article
Received: 21.09.2022
Accepted: 28.12.2022
Citation Formats
Other cite formats:
APA
Davletshina, L. A., Sadovnikova, N. A., Bezrukov, A. V., & Lebedinskaya, O. G. (2022). Statistical Assessment of the Impact of Socio-Economic Factors on the Russian Labour Force. DEMIS. Demographic Research, 2(4), 25-44. https://doi.org/10.19181/demis.2022.2.4.2
Section
Demographics of the Labor Market
