The Impact of Advanced Industry 4.0 Technologies on Unemployment in Russian Regions
DOI:
https://doi.org/10.17059/ekon.reg.2021-1-14Keywords:
unemployment, technological paradigm, advanced technologies, industry 4:o, automation, psychosocial well-being of workers, population with higher education, population with vocational education, spatial analysis, high-tech regions, technological regions, medium-tech regions, low-tech regionsAbstract
The introduction of advanced technologies requires restructuring the labour market and redistributing the workforce. Therefore, the study of the demand for workers in the digital economy is necessary for preventing unemployment. We examine the impact of advanced technologies on unemployment in Russian regions. The transition to a new technological wave and the development of advanced technologies will differently affect the unemployment among various categories of population depending on their educational level. Using the combination of spatial analysis, statistical and econometric methods, we identified clusters of high-tech, medium-tech, and low-tech regions of the Russian Federation, described the impact and confirmed the proposed hypothesis. We have discovered that most Russian regions have a low potential to transition to a new technological wave. Simultaneously, in high-tech regions with sufficient potential to develop a new technological wave, digital economy does not require a large number of employees with university education. Moreover, such regions are experiencing an acute shortage of people with vocational education. Currently, selected Russian regions have resources, potential and reserves to develop the sixth technological wave, while others provide human resources. This situation leads not only to deepening regional differentiation but also to severance of economic relations between regions, hindering their interaction in the new conditions. The obtained results can be used to support proposals and measures for regulating labour market processes to develop scientific, technological and economic potential of the country.
References
Harris, K., Kimson, A. & Schwedel, A. (2018). Labor 2030: The collision of demographics, automation and inequality. Bain & Company, 7, 63. Retrieved from: http://www.bain.com/publications/articles/labor-2030-the-collision-of-demographics-automation-and-inequality.aspx (Date of access: 28.07.2020).
Ghobakhloo, M. & Fathi, M. (2019). Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing. Journal of Manufacturing Technology Management, 31(1), 1–30. DOI: https://doi.org/10.1108/JMTM-11–2018–0417.
Romanova, O. A. (2018). Industrial Policy Priorities of Russia in the Context of Challenges of the Fourth Industrial Revolution. Pt. 1. Ekonomika regiona [Economy of Region], 14(2), 420–432. DOI: 10.17059/2018–2-7. (In Russ.)
Zemtsov, S. (2017). Robots and potential technological unemployment in the Russian regions: Review and preliminary results. Voprosy ekonomiki, 7, 142–157. (In Russ.)
Kelchevskaya, N. R. & Shirinkina, E. V. (2019). Regional Determinants of Effective Use of Human Capital in the Digital Economy. Ekonomika regiona [Economy of region], 15(2), 465–482. DOI: 10.17059/2019–2-12. (In Russ.)
Arkhipova, M. Yu. & Sirotin, V. P. (2019). Development of digital technologies in Russia: regional aspects. Ekonomika regiona [Economy of region], 15(3), 670–683. DOI: 10.17059/2019–3-4. (In Russ.)
Larsson, Ö., Wiktorsson, M. & Cedergren, S. (2014). The third wave of automation: critical factors for industrial digitization. In: 6th Swedish Production Symposium SPS 2014 (pp. 1–8).
Frey, C. B. & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological forecasting and social change, 114, 254–280. DOI: https://doi.org/10.1016/j.techfore.2016.08.019.
Hawksworth, J., Berriman, R. & Goel, S. (2018). Will robots really steal our jobs? An international analysis of the potential long-term impact of automation. PricewaterhouseCoopers, 43. Retrieved from: https://www.pwc.co.uk/services/economics-policy/insights/the-impact-of automation-on-jobs.htm (Date of access: 28.07.2020).
Sorokina, N. D. (2019). Social changes and prestige of the profession of an engineer in modern Russian society. Nauchnyy rezultat. Sotsiologiya i upravlenie [Research Result. Sociology and management], 5(3), 63–77. DOI: 10.18413/2408–9338–2019–5-3–0-5. (In Russ.)
Nunez, E. C. А. & Dubolazov, V. A. (2018). Labor market and education in the conditions of fourth industrial revolution. Nauchno-tekhnicheskie vedomosti Sankt-peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki [St. Petersburg State Polytechnical University Journal. Economics], 11(5), 38–45. DOI: 10.18721/JE.11503. (In Russ.)
Brynjolfsson, E. & McAfee, A. (2012). Winning the race with ever-smarter machines. MIT Sloan Management Review, 53(2), 53–60.
Koropets, O. (2019). Toxic workplace: Problem description and search for management solutions. In: European Conference on Management, Leadership & Governance (pp. 505–508). Academic Conferences International Limited DOI: 10.34190/MLG.19.060.
Pesha, A. V. (2018). The impact of precarious employment on the physical and psychosocial health of women. Research Overview. Vestnik Omskogo universiteta. Seriya «Ekonomika» [Herald of Omsk University. Series “Economics”], 4, 111–125. DOI: 10.25513/1812–3988.2018.4.111–125. (In Russ.)
Stremousova, E. G. (2018). Socio-economic risks of Industry 4.0]. In: Sbornik dokladov XIII Mezhdunarodnoy konferentsii „Rossiyskie regiony v fokuse peremen” [Reports of the XIII International Conference „Russian Regions in the Focus of Changes”] (pp. 730–737). Ekaterinburg, UMC UPI. (In Russ.)
Koropets, O. & Plutova, M. (2020, April). The influence of employment precarization on the women’s psychological safety in the workplace. In: ICGR 2020 3rd International Conference on Gender Research (pp. 131–137). Academic Conferences and publishing limited. DOI: 10.34190/IGR.20.073.
Keynes, J. M. (2010). Economic possibilities for our grandchildren. In: Essays in persuasion (pp. 321–332). Palgrave Macmillan, London.
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of industrial information integration, 6, 1–10. DOI: https://doi.org/10.1016/j.jii.2017.04.005.
Kaeser, J. (2018). The world is changing. Here’s how companies must adapt. Retrieved from: https://www.weforum.org/agenda/2018/01/theworld-is-changing-here-s-how-companies-must-adapt (Date of access: 28.07.2020).
Postel-Vinay, F. (2002). The dynamics of technological unemployment. International Economic Review, 43(3), 737–760. DOI: https://doi.org/10.1111/1468–2354.t01–1-00033.
Balatsky, E. V. (2019). Global challenges of the Fourth Industrial Revolution. Terra Economicus, 17(2), 6–22. DOI: 10.23683/2073–6606–2019–17–2-6–22. (In Russ.)
Kapelyushnikov, R. (2018). Impact of the fourth industrial revolution on the labor market. Aist na kryshe. Demograficheskiy zhurnal [Stork on the Roof. Demographic Journal], 6, 32–36. (In Russ.)
Arntz, M., Gregory, T. & Zierahn, U. (2017). Revisiting the risk of automation. Economics Letters, 159, 157–160. DOI: https://doi.org/10.1016/j.econlet.2017.07.001.
Grigoli, F., Koczan, Z. & Topalova, P. (2020). Automation and Labor Force Participation in Advanced Economies: Macro and Micro Evidence. European Economic Review, 103443. DOI: https://doi.org/10.1016/j.euroecorev.2020.103443.
Lahera Sánchez, A. (2019). Digitalization, robotization, work and life: Cartographies, debates and practices. Cuadernos de Relaciones Laborales, 37(1), 249–273. (In Spanish).
Kim, Y. J., Kim, K. & Lee, S. (2017). The rise of technological unemployment and its implications on the future macroeconomic landscape. Futures, 87, 1–9. DOI: https://doi.org/10.1016/j.futures.2017.01.003.
Angeloni, S. (2020). Education first: What really matters in working for sustainability. Futures, 120, 102552. DOI: https://doi.org/10.1016/j.futures.2020.102552.
Lankisch, C., Prettner, K. & Prskawetz, A. (2019). How can robots affect wage inequality? Economic Modelling, 81, 161–169. DOI: https://doi.org/10.1016/j.econmod.2018.12.015.
David, H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives, 29(3), 3–30. DOI: 10.1257/jep.29.3.3.
Zemtsov, S. (2020). New technologies, potential unemployment and ‘nescience economy’ during and after the 2020 economic crisis. Regional Science Policy & Practice, 1–21. DOI: https://doi.org/10.1111/rsp3.12286.
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Copyright (c) 2021 Olga A. Koropets, Evgeniya Kh. Tukhtarova
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