Assessing the professional structure of the employed population in Russian regions on the basis of economic complexity concept

Автор: Afanasiev M.Yu., Gusev A.A., Nanavyan A.M.

Журнал: Economic and Social Changes: Facts, Trends, Forecast @volnc-esc-en

Рубрика: Regional economy

Статья в выпуске: 6 т.16, 2023 года.

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The skill level of an employee has a significant impact on the formation of employment indicators and economic development. Current scientific discussions are devoted to assessing the prospects for development of the labor market, identifying professions that will be in demand in the future and that will determine the possibilities for the development of human capital. The aim of the work is to assess the economic complexity of professional employment structure and the economic complexity of professional groups of the employed population in Russia’s regions, and to identify trends in the development of regional labor markets on this basis. The assessment of the economic complexity of the regional structure of professional employment can be considered as a characteristic of the level of human capital development, since the region’s ability to bring the develop of professional groups with high estimates of economic complexity to the level of strong ones depends on the knowledge accumulated by employees. Estimates of the economic complexity of professional employment structure in Russia’s regions and the economic complexity of professional groups were obtained according to the data for 2018, 2020 and 2021. For five professional groups, the grades of economic complexity assessments do not change over time, including those for doctors of sciences, candidates of sciences and specialists of the highest skill level. For four professional groups, the ranks change slightly - no more than by a unit. The ranks of complexity assessments change significantly for two professional groups: “managers” (the position of this professional group is improving) and “employees of the service and trade sector and protection of citizens and property” (their position is deteriorating). The ranking of the professional group “unskilled workers” is higher than the rankings of the three groups of skilled workers. The rankings of assessments of the complexity of professional groups correspond to existing opinions about the average level of human capital development among representatives of these groups of the employed population. Estimates of the economic complexity of the structure of professional employment and professional groups can be used to develop a methodology for choosing priority areas for diversifying the region’s economy.

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Professional structure, complexity of the economy, human capital, region, assessment

Короткий адрес: https://sciup.org/147242475

IDR: 147242475   |   DOI: 10.15838/esc.2023.6.90.5

Список литературы Assessing the professional structure of the employed population in Russian regions on the basis of economic complexity concept

  • Abuzyarova D., Belousova V., Krayushkina Zh. et al. (2019). The role of human capital in science, technology and innovation. Forsait=Foresight and STI Governance, 13(S2), 107–119. DOI: 10.17323/2500-2597.2019.2.107.119 (in Russian).
  • Afanas’ev M.Yu., Aivazyan S.A., Kudrov A.V. (2018). On accounting for natural rent in regional development indicators. Vestnik TsEMI, 1, 7 (in Russian).
  • Afanasiev M.Yu., Ilin N.I. (2022). New guidelines for choosing priority areas of economic diversification based on a system of sustainable centers. Ekonomika i matematicheskie metody=Economics and Mathematical Methods, 58(4), 29–44. DOI: 10.31857/S042473880023017-7 (in Russian).
  • Afanasiev M.Yu., Kudrov A.V. (2020). Methodology for assessing the socio-economic development of the constituent entities of the Russian Federation. In: Gracheva M.V. (Ed.). Aktual’nye napravleniya i metody analiza ekonomicheskikh system [Current Directions and Methods of Analyzing Economic Systems]. Moscow: Ekonomicheskii fakul’tet MGU imeni M.V. Lomonosova (in Russian).
  • Afanasiev M.Yu., Kudrov A.V. (2021). Economic complexity and embedding of regional economies’ structure. Ekonomika i matematicheskie metody=Economics and Mathematical Methods, 57(3), 67–78. DOI: 10.31857/S042473880016410-0 (in Russian).
  • Balassa B. (1965). Lafayrade liberalization and “revealed” comparative advantage. The Manchester School, 33, 99–123.
  • Chernenko I.M, Kel’chevskaya N.R., Pelymskaya I.S., Almusaedi Kh.K.A. (2021). Opportunities and threats of digitalization for human capital development at the individual and regional levels. Ekonomika regiona=Economy of Regions, 17(4), 1239–1255. DOI: 10.17059/ekon.reg.2021-4-14 (in Russian).
  • Crouch C. (2010). Occupational Structure and Social Models in European Societies: Working Paper. University of Warwick Business School.
  • Gimpelson V.E., Kapeliushnikov R.I. (2022). Dinamika struktury rabochikh mest v Rossii: polyarizatsiya, uluchshenie, zastoi?: preprint WP3/2022/05/ [Dynamics of the Structure of Jobs in Russia: Polarization, Improvement, Stagnation?: Preprint WP3/2022/05/]. Moscow: Izd. dom Vysshei shkoly ekonomiki (in Russian).
  • Gimpelson V.E., Zudina A.A., Kapeliushnikov R.I. et al. (2017). Professii na rossiiskom rynke truda: Analiticheskii doklad NIU VShE [Professions in the Russian Labor Market: Analytical Report of the National Research University Higher School of Economics]. Moscow: Natsional’nyi issledovatel’skii universitet “Vysshaya shkola ekonomiki”. ISBN 978-5-7598-1576-1
  • Hartmann D., Guevara M.R., Jara-Figueroa C. et al. (2017). Linking economic complexity, institutions, and income inequality. World Development, 93, 75–93. DOI: 10.1016/j.worlddev.2016.12.020
  • Hausmann R., Hwang J., Rodrik D. (2007). What you export matters. Journal of Economic Growth, 12(1), 1–25. DOI: 10.1007/s10887-006-9009-4
  • Hausmann R., Klinger B. (2006). Structural Transformation and Patterns of Comparative Advantage in the Product Space. Available at: http://www.tinyurl.com/2bdm7aml (accessed: September 8, 2023).
  • Hausmann R., Rodrik D. (2003). Economic development as self-discovery. Journal of Development Economics, 72(2), 603–633. DOI: 10.3386/w8952
  • Hidalgo C. (2015). Why Information Grows: The Evolution of Order, from Atoms to Economies. CFA Institute.
  • Hidalgo C.A., Hausmann R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences, 106(26), 10570–10575. DOI: 10.1073/pnas.0900943106
  • Mealy P., Farmer J.D., Teytelboym A. (2019). Interpreting economic complexity. Science Advances, 5(1). DOI: 10.1126/sciadv.aau1705
  • Nanavyan A.M. (2020). Work experience and length of service of the population in various regions of Russia. Obshchestvo i ekonomika, 9, 49–58. DOI: 10.31857/S020736760011347-0 (in Russian).
  • Rumyantsev N.M., Leonidova E.G., Gubanova E.S. (2022). Defining sectoral priorities of the region’s structural transformation by searching for promising economic specializations. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 15(6), 94–109. DOI: 10.15838/esc.2022.6.84.5 (in Russian).
  • Sciarra C., Chiarotti G., Ridolfi L., Laio F. (2020). Reconciling contrasting views on economic complexity. Nature Communications, 11, 3352. DOI: 10.1038/s41467-020-16992-1
  • Soboleva I.V., Sobolev E.N. (2021). Open and latent unemployment in the context of the pandemic. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 14(5), 186–201. DOI: 10.15838/ esc.2021.5.77.11 (in Russian).
  • Tikhonova N.E. (2020). Russian professionals: Specifics of jobs and of human potential. Sotsiologicheskie issledovaniya=Sociological Studies, 10, 71–83. DOI: 10.31857/S013216250010300-3 (in Russian).
  • Tkachenko A.A., Ginoyan A.B. (2021). Assessment of the occupational structure of employed in regions. Ekonomika regiona=Economy of Regions, 17(4), 1224–1238. DOI: 10.17059/ekon.reg.2021-4-13 (in Russian).
  • Toksanbaeva M.S., Popova R.I. (2021). Characteristics of industries determining high differentiation of wages in Russia. Narodonaselenie=Population, 24(3), 162–174. DOI: 10.19181/population.2021.24.3.13 (in Russian).
  • Vishnevskaya N.T., Zudina A.A. (2017). Occupational structure in European countries: What do forecasts predict? Vestnik mezhdunarodnykh organizatsii: obrazovanie, nauka, novaya ekonomika=International Organizations Research Journal, 12(4), 109–129. DOI: 10.17323/1996-7845-2017-04-109 (in Russian).
  • Walter S., Lee J. (2022). How susceptible are skills to obsolescence? A task-based perspective of human capital depreciation. Forsait-T=Foresight and STI Governance, 16(2), 32–41. DOI: 10.17323/2500-2597.2022.2.32.41 (in Russian).
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