Published July 15, 2020 | Version v1
Journal article Open

Addressing the Problem of Regional socio-economic System Management with a manpower effective volume taken into account

Authors/Creators

  • 1. Kalashnikov Izhevsk State Technical University

Description

In the paper, a problem of regional socio-economic system management is solved, as exemplified by one of Russia’s regions. An optimal management algorithm is created, with an effective capacity of the workforce taken into account. The statement of the problem is implemented based on a regional economic system macro model, with an effective capacity of a labor force and a physical capital to be viewed as development factors. The underscore preliminary proposition of the model is the fact that labor force effective capacity consists of both qualitative (labor productivity of a worker) and quantitative (labor pool) properties. The product is distributed into consumption, capital widening and sustainment investments, and regional socio-educational development potential. The qualitative property of the workforce is derived from these socio-educational potential investments. Adding a workforce effective capacity factor to the model is the key feature of the management problem statement. The problem-solving algorithm comprises two stages: building an objective optimal balanced growth trajectory and building an optimal trajectory of socio-economic system motion which would propel it to the balanced growth trajectory. The time of the transitional period up to reaching an objective balanced growth trajectory can be changed by varying build-up rates of a socio-educational potential. The paper is first to use a two-factor approach in building an optimal investment distribution to solve the problem of socio-economic system management with a workforce effective capacity taken into consideration. Data on demography and volume of investments in educational, production, and social fields of the Udmurt Republic served as an information base of the model. Due to identify unknown parameters of the model, the data as of 2000-2019 was used. Optimal investment rates were calculated which would enable the socio-economic system to reach a balanced growth trajectory by the year 2025. The suggested method can also be used for building a development trajectory for a given socio-economic system, as well as for handling parametrical model calculations to determine their factors.

Files

КетоваКВ, РусякИГ, СедовРА.pdf

Files (656.7 kB)

Additional details

Identifiers

ISSN
2414-2948

References

  • Ketova, K. V. (2013). Matematicheskie modeli ekonomicheskoi dinamiki. Izhevsk, IzhGTU, 281. (in Russian).
  • Ukaz Prezidenta Rossiiskoi Federatsii ot 13.05.2017 g. no. 208 O Strategii ekonomicheskoi bezopasnosti Rossiiskoi Federatsii na period do 2030 goda. https://clck.ru/PKgRJ
  • Federal'naya sluzhba gosudarstvennoi statistiki. Informatsiya dlya analiza pokazatelei sostoyaniya ekonomicheskoi bezopasnosti Rossiiskoi Federatsii. https://clck.ru/PKgS5
  • Shumilina, V. E., & Tsvil, M. M. (2019). Statistical modeling and forecasting of the index of labor productivity in the Russian Federation. The Eurasian Scientific Journal, 11(1), 46. (in Russian).
  • Galiullin, Kh. Ya., Ermakov, G. P., & Simonova, M. V. (2017). Concept of labor efficiency. Russian Journal of Labor Economics, 4(3), 183-196. (in Russian). https://doi.org/10.18334/et.4.3.38263
  • Sotsial'nyi byulleten'. Proizvoditel'nost' truda v Rossiiskoi Federatsii. https://ac.gov.ru/files/publication/a/13612.pdf
  • Shevyakova, C. Z. (2014). Salary, its function, its interaction with labor productivity. Business. Education. Law, (2), 249-252. (in Russian).
  • Aranzhin, V. V. (2019). The relationship of wages and productivity: trends in the conditions of economy digitization. Russian Journal of Labor Economics, 6(1), 523-534. (in Russian). https://doi.org/10.18334/et.6.1.39938
  • Adilova, K. Z. (2013). Salaries and labour productivity. Business. Education. Law, (3), 96-99.
  • Smirnov, M. A., & Sannikov, O. V. (2008). Proizvoditel'nost' truda, zarabotnaya plata i ekonomicheskaya effektivnost' truda. Uroven' zhizni naseleniya regionov Rossii, (2), 5-22. (in Russian).
  • Kabanov, V. N. (2012). Economic assessment in management (on example of application of the accounting model of the breakeven point). Business. Education. Law, (2). 28-38. (in Russian).
  • Polovkina, E. A. (2009). Vzaimosvyaz' zarabotnoi platy i proizvoditel'nosti truda v sovremennoi ekonomike. Vestnik of the Kazan State Agrarian University, 4(4), 75-77. (in Russian).
  • Belavin, D. Ya. (2008). Vzaimosvyaz' zarabotnoi platy i proizvoditel'nosti truda v innovatsionnoi ekonomike: autoref. Ph.D. diss. Kazan. (in Russian).
  • Samoylov, A. V., & Molchanova, S. M. (2020). Inequality in payment of labour. Market segmentation. Russian Journal of Labor Economics, 7(1), (in Russian). https://doi.org/10.18334/et.7.1.41491
  • Rodionova, I. V., & Reznichenko, V. D. (2014). Differentiation of population incomes: the regional dimension. Russian Journal of Entrepreneurship, 15(23), 147-153. (in Russian).
  • Kostyleva, L. V. (2011). Neravenstvo naseleniya Rossii: tendentsii, faktory, regulirovanie. Vologda. (in Russian).
  • Makarov, I. N., Drobot, E. V., Avtsinova, A. A., & Filonenko, N. Yu. (2019). The spatial development of Russia: problems of interregional differentiation. Journal of International Economic Affairs, 9(4), 2953-2964. (in Russian). https://doi.org/10.18334/eo.9.4.41347
  • Igosheva, A. P., & Ketova, K. V. (2013). Analiz differentsiatsii urovnya zhizni naseleniya po regionam Privolzhskogo federal'nogo okruga. In Molodye uchenye - uskoreniyu nauchno-tekhnicheskogo progressa v XXI veke, 661-665. (in Russian).
  • Ketova, K. V., Vavilova, D. D., & Rusyak, I. G. (2020). Construction of Mathematical Assessment of the Potential of the Economically active population in the Regional System. Nauchnyi elektronnyi zhurnal Meridian, (6), С. 300-302. (in Russian).
  • Ketova, K. V. (2008). Razrabotka metodov issledovaniya i optimizatsiya strategii razvitiya ekonomicheskoi sistemy regiona: Dr. diss. Izhevsk. (in Russian).
  • Intriligator, M. (2002). Matematicheskie metody optimizatsii i ekonomicheskaya teoriya. Moscow, Airis Press, 564. (in Russian).
  • Belenky, V. Z., & Ketova, K. V. (2006). The complete analytical solution of the macro-model of regional development for the exogenous demographic prognosis Economics and Mathematical Methods, 42(4), 85-95. (in Russian).
  • Belenky, V. Z. (2007). Optimizatsionnye modeli ekonomicheskoi dinamiki. Ponyatiinyi apparat. Odnomernye modeli. Moscow, Nauka, 253. (in Russian).
  • Pontryagin, L. S., Boltyansky, V. G., Gamkrelidze, R. V., & Mishchenko, E. F. (1961). Matematicheskaya teoriya optimalnykh protsessov. Moscow, 391 (in Russian).
  • Ramsey, F. P. (1928). A mathematical theory of saving. The economic journal, 38(152), 543-559. https://doi.org/10.2307/2224098
  • Cass, D. (1965). Optimum growth in an aggregative model of capital accumulation. The Review of economic studies, 32(3), 233-240. https://doi.org/10.2307/2295827
  • Koopmans, T. C. (1963). On the concept of optimal economic growth. Cowles Foundation for Research in Economics, Yale University, (163).
  • Kalitkin, N. N. (2011). Chislennye metody. Moscow, Nauka, 587. (in Russian).