Assessment of the Impact of Types of Economic Activities on the Formation of the Employment Structure of the Arctic Regions
DOI:
https://doi.org/10.17059/ekon.reg.2025-4-2Keywords:
Arctic regions, regional economy, sectoral priorities for increasing employment, sectoral structure of employment, types of economic activityAbstract
The negative dynamics of demographic and migration processes in the Arctic regions necessitates identifying the types of economic activity that have a primary influence on the formation of the sectoral employment structure. The development of these activities will contribute to increased employment, which explains the relevance of this research topic. The study’s hypothesis is that the primary influence on the sectoral employment structure is exerted by the types of economic activity whose share of total employment is the highest (or close to it), growing at a faster rate primarily due to employment growth within the sector itself, and contributing the greatest (or close to it) to changes in the sectoral employment structure. Statistical methods were used to analyze structural shifts in the sectoral employment structure. A criteria framework has been proposed and an algorithm for assessing the degree of influence has been developed, including an analysis of the specific weight, an assessment of the mass of structural shifts and the contribution of economic activities to changes in the regional employment structure, a classification of economic activities by the degree of influence in accordance with the developed criteria and assessment results, identification of industries with a priority impact, and, on this basis, determination of industry priorities for increasing employment in the economies of the Arctic regions. As an example of testing the developed approach, a classification of economic activities in the Arctic regions by the degree of influence on the industry structure of employment has been carried out, and industries with a priority impact (corresponding to three assessment criteria) have been identified. The contribution of economic activities related to the first and second classification groups to changes in the employment structure takes values from 73.24 % (Chukotka Autonomous Okrug) to 51.86 % (NAO), the specific weight is from 50.00 % (in Krasnoyarsk Krai) to 73.00 % (in Murmansk Oblast) with an upward trend, which is consistent with the proposed hypothesis. Based on the developed methodological approach, it is possible to develop a set of measures to increase employment.
References
Akberdina, V. V. (2008). Structural shifts in economy of Sverdlovsk region: Problems, tendency of the development. Ekonomika regiona [Economy of region], 2 (4), 149–161. (In Russ.)
Bakumenko, L. P., & Sarycheva, T. V. (2015). Statistical approaches to the analysis of labor market and employment at the regional level. Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Seriya: Ekonomika i upravlenie [Vestnik of Volga State University of Technology. Ser.: Economics and Management], (1(25)), 72–84. (In Russ.)
Blakely, E. J., & Leigh, N. G. (2013). Planning local economic development. Sage.
Byuraeva, Yu. G. (2021). Employment structure of the population of the Republic of Buryatia: Trends and shifts. Regionalistica [Regionalistics], 8 (1), 68–80. https://doi.org/10.14530/reg.2021.1.68 (In Russ.)
Costantino, S., Cracolici, M. F., & Piacentino, D. (2021). A new spatial shift-share decomposition: An application to tourism competitiveness in Italian regions. Geographical Analysis, 53 (4), 708–735. https://doi.org/10.1111/gean.12262
Doré, N. I., & Teixeira, A. A. C. (2023). The role of human capital, structural change, and institutional quality on Brazil’s economic growth over the last two hundred years (1822–2019). Structural Change and Economic Dynamics, 66, 1–12. https://doi.org/10.1016/j.strueco.2023.04.003
Dunn, E. S. (1960). A statistical and analytical technique for regional analysis. Papers in Regional Science, 6 (1), 97–112. https://doi.org/10.1111/j.1435–5597.1960.tb01705.x
Kotov, A. V. (2021). Spatial shift-share analysis as a tool for studying the economic development of Russia’s macroregions. Ekonomika regiona [Economy of region], 17 (3), 755–768. https://doi.org/10.17059/ekon.reg.2021-3-3 (In Russ.)
Krasilnikov, O. Yu. (2017). The Relationship between Structural Changes and Economic Development of Russia. Izvestiya Saratovskogo universiteta. Novaya seriya. Seriya Ehkonomika. Upravlenie. Pravo [Izvestiya of Saratov University. Economics. Management. Law], 17 (2), 127–133. https://doi.org/10.18500/1994–2540-2017-17-2-127-133 (In Russ.)
Kuznetsov, S. G. (2020). Structural employment shifts and the quality of economic growth. Nauchnye Trudy [Scientific papers] (pp. 504–520). Moscow: MAKS Press. (In Russ.)
Lahr, M. L., & Ferreira, J. P. (2021). A reconnaissance through the history of shift-share analysis. In P. Batey (Ed.), Handbook of regional science (pp. 25–39). Springer.
McLean, M. L. (1992). Understanding your economy: Using analysis to guide local strategic planning. American Planning Association.
McMillan, M., Rodrik, D., & Sepulveda, C. (2017). Structural change, fundamentals and growth: A framework and case studies (No. w23378). National Bureau of Economic Research. https://doi.org/10.3386/w23378
Milyaeva, L. G., & Prokolov, I. V. (2014). Technique of express diagnostics of employment policy in administrative-territorial formations. Vestnik Omskogo universiteta. Seriya “Ekonomika” [Herald of Omsk University. Series: Economics], (4), 102–108. (In Russ.)
Montania, C. V., Marquez, M. A., Fernández-Núñez, T., & Hewings, G. J. (2024). Toward a more comprehensive shift-share analysis: An illustration using regional data. Growth and change, 55 (1), e12693. https://doi.org/10.1111/grow.12693
Myakshin, V. (2024). The regional shifts in public employment: Russian Arctic. Structural Change and Economic Dynamics, 69, 488–494. https://doi.org/10.1016/j.strueco.2024.03.004
Ovchinnikova, A. V., & Bogachev, E. A. (2024). Industrial Structural Changes in the Economy of the Udmurt Republic. Ekonomika regiona [Economy of regions], 20 (1), 189–204. https://doi.org/10.17059/ekon.reg.2024-1-13 (In Russ.)
Ruault, J. F., & Schaeffer, Y. (2020). Scalable shift-share analysis: Novel framework and application to France. Papers in Regional Science, 99 (6), 1667–1690. https://doi.org/10.1111/pirs.12558
Sarycheva, T. V. (2016). Employment structure by economic activity and the dynamics of its changes. Regional’naya ehkonomika i upravlenie: ehlektronnyi nauchnyi zhurnal [Regional economics and management: electronic scientific journal], (4(48)), 253–269. (In Russ.)
Serova, N. A., & Skufyna, T. P. (2023). Analyzing the Structural Development of Industrial Production in the Regions of the Russian Arctic. Sever i rynok: formirovanie ekonomicheskogo poryadka [The North and the Market: Forming the Economic Order], (1), 108–119. https://doi.org/10.37614/2220-802X.1.2023.79.007 (In Russ.)
Sukharev, O. S. (2020). Main Features of the Theory of Structural Dynamics and their Application in Macroeconomic Analysis. Zhurnal Economicheskoj Teorii [Russian Journal of Economic Theory], 17 (1), 33–52. https://doi.org/10.31063/2073–6517/2020.17-1.3 (In Russ.)
Terbeck, F. J. (2022). The impact of regional and local population trends on suburban poverty and ethnoracial composition change: A shift-share analysis of the Chicago metropolitan area in the 2000s. Population, Space and Place, 28 (6), e2549. https://doi.org/10.1002/psp.2549
Uzyakov, R. M. (2020). Metrics of structural changes and the necessity of considering interindustry relationships. Studies on Russian Economic Development, 31 (2), 145–152. https://doi.org/10.1134/S1075700720020136
Vasiliev, V. V. (2021). Structural changes in the economy of the Northern zone in the modern period. Sever i rynok: formirovanie ekonomicheskogo poryadka [The North and the Market: Forming the Economic Order], (4), 56–70. https://doi.org/10.37614/2220-802X.4.2021.74.005 (In Russ.)
Vu, K. M. (2017). Structural change and economic growth: Empirical evidence and policy insights from Asian economies. Structural Change and Economic Dynamics, 41, 64–77. https://doi.org/10.1016/j.strueco.2017.04.002
Zhang, X., Zhang, Y., & Fan, S. (2024). The multiple roles of crop structural change in productivity, nutrition and environment in China: A decomposition analysis. Journal of Integrative Agriculture, 23 (5), 1763–1773. https://doi.org/10.1016/j.jia.2024.03.064
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