Multidimensional Demography: A New Approach to Assessing the Human Resources of the Russian North
DOI:
https://doi.org/10.17059/ekon.reg.2024-2-4Keywords:
Russian North, human resources, demographic structures, education, labour, censuses, multidimensional demographyAbstract
Over the past three decades, the population of the Russian North has decreased by almost a quarter. Simultaneously, an increasing share of pensioners may negatively affect the availability and quality of labour resources in northern regions. The article examines the dynamics and structure of human resources in 13 regions of the Russian North in the 21st century using multidimensional demography. This approach, along with the main demographic indicators (sex, age) varying in time and space, involves considering such additional characteristics as education and labour force participation. This view of demographic processes can reveal whether an increase in education or employment (qualitative characteristics) can help reduce negative trends in the quantitative characteristics of human resources. The average duration of education of the total and employed population was compared. Indicators of the total duration of education and education costs were used to assess the value of the accumulated educational potential. According to the calculations, in 2002–2010, the total duration of education of the employed population decreased only in 3 of the 13 northern regions and remained at the 2002 level in 3 regions. In 2010–2021, this indicator already decreased in seven constituent entities and remained at the 2010 level in three regions. The total loss of educational potential of human resources amounted to 4.1 million person years of education. To remedy the educational potential in 2020 prices, more than 600 billion roubles of budgetary funds would be needed. The occurred transformations are clearly demonstrated by sex-age-educational pyramids. The study showed that negative demographic trends in the Russian North almost cannot be reduced by improving qualitative characteristics. The findings can be applied to develop demographic, social and labour policies, and to construct demographic forecasts.
References
Anikin, V. A. (2017). Human Capital: Genesis of Basic Concepts and Interpretations. Ekonomicheskaya sotsiologiya [Journal of Economic Sociology], 18 (4), 120-156. (In Russ.)
Bobylev, S. N. (2005). Development of human potential in Russia. Vestnik Moskovskogo universiteta. Seriya 6. Ekonomika [Moscow University Economic Bulletin], (1), 41-61. (In Russ.)
Fauzer, V. V. (2010). Demograficheskaya differentsiatsiya sotsialno-trudovykh otnosheniy: dis. … kand. ekon. nauk: 08.00.05 [Demographic differentiation of social and labor relations: Thesis of Cand. Sci. (Econ): 08.00.05]. Moscow: ISPI RAN, 163. (In Russ.)
Fauzer, V. V., Lytkina, T. S., Fauzer, G. N., Zalevsky, V. A. (2016). Naselenie severnykh regionov: ot kolichestvennykh pokazateley k kachestvennomu izmereniyu [Population of the northern regions: from quantitative indicators to qualitative measurement]. Syktyvkar: Publishing House of Pitirim Sorokin SSU, 240. (In Russ.)
Fauzer, V. V., Smirnov, A. V., & Fauzer, G. N. (2023). Demographic trends and transformation of population distribution in the north of Russia: insights from the 2021 census. Sever i rynok: formirovanie ekonomicheskogo poryadka [The North and the Market: Forming the Economic Order], 26 (1), 64-79. https://doi.org/10.37614/2220-802X.1.2023.79.004 (In Russ.)
Hanushek, E., & Woessmann, L. (2022). The Knowledge Capital of Nations: Education and the Economics of Growth [Intellektualnyy kapital v raznykh stranakh mira. Obrazovanie i ekonomicheskaya teoriya rosta]. Trans. from English. Moscow: HSE Publishing House, 349. (In Russ.)
Healy, A. (2017). Innovation in Circumpolar Regions: New Challenges for Smart Specialization. The Northern Review, (45), 11-32. https://doi.org/10.22584/nr45.2017.002
Ilyin, V. I. (2022). Individual Generational Situation: A Biographical Study of the Northern Hinterland. Mir Rossii [Universe of Russia], 31 (4), 6-32. https://doi.org/10.17323/1811-038X-2022-31-4-6-32 (In Russ.)
Jungsberg, L., Herslun, L. B., Nilsson, K., Umander, K., Kantola, A., Teräs, J., & Weber, R. (2020). Local smart specialisation: An approach to increasing preparedness in rural communities with resource-based industries in the Northern Periphery. European Journal of Spatial Development, 18 (1), 1-25.
Jungsberg, L., Turunen, E., Heleniak, T., Wang, S., Ramage, J., & Roto, J. (2019). Atlas of population, society and economy in the Arctic. Stockholm: Nordregio, 80. https://doi.org/10.30689/WP2019:3.1403–2511
Kalmykova, N. M. (2022). Does demography need a unified theory? Demograficheskoe obozrenie [Demographic Review], 9 (4), 160-166. https://doi.org/10.17323/demreview.v9i4.16748 (In Russ.)
Kull, M., Refsgaard, K., Sigurjonsdottir, H. R., Bogason, Á., Meijer, M. W., Sanchez-Gassen, N., & Turunen, E. (2020). Attractive Rural Municipalities in the Nordic countries: Jobs, People and Reasons for Success from 14 Case Studies. Stockholm: Nordregio, 240. https://doi.org/10.6027/PB2020:3.2001–3876
Kuzminov, Ya. I., & Yudkevich, M. M. (2021). Universitety v Rossii: kak eto rabotaet [Russian Universities: how the system works]. Moscow: HSE Publishing House, 616. (In Russ.)
Lavrikova, Yu. G. (Ed.). (2020). Prioritety nauchno-tekhnologicheskogo razvitiya regionov: mekhanizmy realizatsii [Priorities of scientific and technological development of regions: implementation mechanisms]. Ekaterinburg: Institute of Economics UB RAS, 603. (In Russ.)
Lutz, W. (2021). Advanced Introduction to Demography. Cheltenham, UK; Northampton, USA: Edward Elgar Publishing, 224.
Lutz, W., Cuaresma, J. C. & Sanderson, W. (2008). The demography of educational attainment and economic growth. Science, 319 (5866), 1047–1048. https://doi.org/10.1126/science.1151753
Lutz, W., Goujon, A., KC, S., Stonawski, M., & Stilianakis N. (2018). Demographic and Human Capital Scenarios for the 21st Century: 2018 assessment for 201 countries. Luxembourg: Publications Office of the European Union, 598. https://doi.org/10.2760/835878
Lutz, W., Reiter, C., Özdemir, C., Yildiz, D., Guimaraes, R., & Goujon, A. (2021). Skills-adjusted human capital shows rising global gap. Proceedings of the National Academy of Sciences, 118 (7), 1-5. https://doi.org/10.1073/pnas.2015826118
Marois, G., Bélanger, A. & Lutz, W. (2020). Population aging, migration, and productivity in Europe. Proceedings of the National Academy of Sciences, 117 (14), 7690–7695. https://doi.org/10.1073/pnas.1918988117
Moskvina, V. A. (2019). Modelling interregional mobility of university graduates in Russia. Prikladnaya ekonometrika [Applied Econometrics], (56), 99-122. https://doi.org/10.24411/1993-7601-2019-10019 (In Russ.)
Petrenko, K. V. (2016). Trudovoy potentsial neftegazodobyvayushchikh regionov Rossii. Demograficheskie i sotsialnye aspekty [Labor potential of oil and gas producing regions of Russia. Demographic and social aspects]. Moscow: Ekon-Inform, 201. (In Russ.)
Petrov, A. N., Zbeed, S. O., & Cavin, Ph. A. (2018). Arctic’s knowledge economy: spatial patterns of knowledge and technology production in the Arctic. Arktika i Sever [Arctic and North], (30), 5-22. https://doi.org/10.17238/issn2221–2698.2018.30.5 (In Russ.)
Pilyasov, A. N. (2009). I poslednie stanut pervymi: severnaya periferiya na puti k ekonomike znaniya [And the last shall be first: Northern periphery on the way to knowledge economy]. Moscow: “LIBROKOM”, 544. (In Russ.)
Poole, M. & Warner M. (2002). Introduction. In: Human Resource Management [Upravlenie chelovecheskimi resursami]. Trans. from English. Saint Petersburg: Piter, 13. (In Russ.)
Rimashevskaya, N. M. (2001). Qualitative potential of the Russian population: a look into the 21st century. Problemy prognozirovaniya [Studies on Russian Economic Development], (3), 34-48. (In Russ.)
Samoilov, V. A. (2004). Modernization of education and human capital. Vysshee obrazovanie segodnya [Higher education today], (11), 16-20. (In Russ.)
Stanton, E. (2007). The Human Development Index: A History. Amherst: Political Economy Research Institute, 37.
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