Abstract and keywords
Abstract (English):
he dynamic socio-economic development of Russia depends on the growth of labor force and productivity. This article introduces an analysis of labor productivity in coal-mining regions and the experience of Kuzbass mining. The authors explored the twelve-year dynamics of the labor productivity index both for the Russian economy as a whole and for its coal-mining regions. They identified the main trends in the management of labor productivity at the coal enterprises of the Kemerovo Region. The statistical analysis showed that the labor productivity index in Russia is slightly declining, especially in the mining industry. This negative trend can be avoided by applying new methods of personnel management, developing social and labor relations, involving employees in the labor process and encouraging their labor awareness, digitalizing all technological processes, and developing an effective contract.

Keywords:
abor productivity, coal mining region, personnel management, social and labor relations, digitalization of production, quality of labor resources of the enterprise
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References

1. Krivolapova K. O. Analysis of labor productivity and assessment of the effect of individual factors on labor productivity. Financial, economic and technological problems of regional development: Proc. Intern. Sci.-Prac. Conf. of Young Scientists, Stavropol, 11–12 Apr 2019. Stavropol: Sekvoiia, 2019, 120–122. (In Russ.)

2. Yurkova S. Yu. Problems of labor productivity in Russia. Student science near Moscow: Proc. Intern. Sci. Conf. of Young Scientists, Orekhovo-Zuevo, 25–26 Apr, 2017. Orekhovo-Zuevo: MGOGI, 2017, 718–720. (In Russ.)

3. Battisti M., Vallanti G. Flexible wage contracts, temporary jobs and worker performance: evidence from Italian firms. CeLEG Working Paper Series. 2011, (5): 29. URL: http://static.luiss.it/RePEc/pdf/celegw/1105.pdf (accessed 20 Oct 2021).

4. Cirillo V., Fana M., Guarascio D. Labour market reforms in Italy: evaluating the effects of the Jobs Act. Economia Politica, 2017, 34(2): 211–232. https://doi.org/10.1007/s40888-017-0058-2

5. Dosi G., Pereira M. C., Roventini A., Virgillito M. E. The effects of labour market reforms upon unemployment and income inequalities: an agent based model. 2016. 33 p. http://dx.doi.org/10.2139/ssrn.2804220

6. Kleinknecht A., Kwee Z., Budyanto L. Rigidities through flexibility: flexible labour and the rise of management bureaucracies. Cambridge Journal of Economics, 2016, 40(4): 1137–1147. https://doi.org/10.1093/cje/bev056

7. Nasedkina L. V., Chirukhina T. K. Factors and incentives for the growth of labor productivity at modern industrial enterprises in Russia. Enigma, 2021, (29-1): 11–20. (In Russ.)

8. Pak O. A. Types and kinds of strategic planning of labor productivity in the context of ensuring the business structures development. Economics and society: contemporary models of development, 2020, 10(1): 41–48. (In Russ.) https://doi.org/10.18334/ecsoc.10.1.100613

9. Smirnov V. V., Mulendeeva A. V. Priorities of the current structure of the Russian macroeconomics. Natsional'nye interesy: prioritety i bezopasnost', 2020, 16(4): 613–630. (In Russ.) https://doi.org/10.24891/ni.16.4.613

10. Alferov A. E., Kremlev N. D. Improving the system of strategic planning and management of sustainable development of municipalities. The concept of the development of the productive forces of the Kurgan region: Proc. Sci.-Prac. Conf., Kurgan, 17 Nov 2017. Kurgan: Kurgan State University, 2017, 37–49. (In Russ.)

11. Mikhnenko O. E., Salin V. N. From statistical analysis of data to the analysis of real phenomena based on statistical information. Data Science: Proc. Intern. Sci.-Prac. Conf., St. Petersburg, 5–7 Feb 2020. St. Petersburg: SPbSUE, 2020, 196–199. (In Russ.)

12. Mikhnenko O. E. Digital technologies and the efficiency of statistical indicators. Digital transformation in transport economics: Proc. Intern. Sci.-Prac. Conf., Moscow, 5–6 Dec 2018. Moscow: RUT (MIIT), 2019, 207–216. (In Russ.)

13. Shamsutdinova T. M. Technologies for the intellectual analysis of statistical data: a cluster analysis of indicators of agricultural production in the constituent entities of the Russian Federation. Modern scientific and practical solutions in the agro-industrial complex: Proc. Intern. Sci.-Prac. Conf., Voronezh, 6–7 Jun 2017. Voronezh: Voronezh SAU, 2017, 467–473. (In Russ.)

14. Pochekutova E. N. Labor productivity dynamics evaluation in Russia. St. Petersburg Economic Journal, 2018, (3): 6–15. (In Russ.) https://doi.org/10.25631/PEJ.2018.3.1

15. Korkina T. A., Makarova V. A. Development of an organizational mechanism for increasing labor productivity of workers of a mining enterprise. Sovremennye issledovaniya sotsialnykh problem, 2014, (4). (In Russ.) https://doi.org/10.12731/2218-7405-2014-4-9

16. Batievskaya V. B., Khaes B. B. Diversification of the economy of an industrial region as a way of its strategic development, on the example of the Kemerovo region – Kuzbass. Competition of student papers: Proc. X Intern. Sci.-Research Competition, Penza, 15 Oct 2021. Penza: Nauka i Prosveshchenie, 2021, 89–94. (In Russ.)

17. Batievskaya V. B. Dynamics of General, occupational morbidity and industrial injuries of miners of Kuzbass under the infl uence of technological changes and technical re-equipment of coal mines. Med. truda i prom. ekol, 2019, 59(4): 242–247. (In Russ.) https://doi.org/10.31089/1026-9428-2019-59-4-242-247

18. Kharlampenkov E. I., Kudryashova I. A. Factor model of labor productivity in the coal industry. Vestnik Kemerovskogo gosudarstvennogo universiteta. Seriia: Politicheskie, sotsiologicheskie i ekonomicheskie nauki, 2020, 5(4): 557–567. (In Russ.) https://doi.org/10.21603/2500-3372-2020-5-4-557-567


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