Analysis of the impact of technological factors on structural unemployment in developed countries

Authors

DOI:

https://doi.org/10.26906/EiR.2024.2(93).3387

Keywords:

structural unemployment, technology, labor market, frictional unemployment, R&D, social policy

Abstract

The article analyzes the impact of technological factors on the labor market, namely on unemployment. Structural unemployment is singled out as the one that is most affected by modern technologies. The ways of empirical identification of structural unemployment are analyzed. An econometric model is formed that reflects the impact of technology on structural unemployment in some developed countries over the past 11 years. It is found that this impact is inverse and that not all indicators of technological development have an impact on unemployment. The reason for this is frictional unemployment, as well as the social policy of developed countries. The author also calculated the share of the unemployed who have not worked for more than a year and formed a correlation matrix, which, however, did not reveal a correlation between this indicator and indicators of the level of technological development. Thus, it is not appropriate to distinguish structural unemployment due to its duration. Conclusions are drawn about the impact of technological factors on structural unemployment. This influence is inverse, which proves the hypothesis that technology creates more jobs than it eliminates. However, technology is not recognized as a determining factor affecting the unemployment rate.

Author Biographies

Lidiya Yemelyanova, Ivan Franko National University of Lviv

Candidate of Economic Sciences, Associate Professor at the Department of International
Economic Analysis and Finance

Semen Mlynko, Ivan Franko National University of Lviv

Master's Student

References

Romer P. M. (1990) Endogenous Technological Change. Journal of Political Economy, no. 5, pp. S71–S102. DOI: https://doi.org/10.1086/261725

Ghobakhloo M. (2020) Industry 4.0, digitization, and opportunities for sustainability. Journal of Cleaner Production, no. 252. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0959652619347390 (accessed January 29, 2024). DOI: https://doi.org/10.1016/j.jclepro.2019.119869

Opanasiuk V. V. (2021) Neoluddites of the digital dictatorship era. Bulletin of Khmelnytsky National University. Economic Sciences, no. 1, pp. 176–179.

Autor D. (2022) The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty. SSRN Electronic Journal, no. 1. Available at: https://www.researchgate.net/publication/360965560_The_Labor_Market_Impacts_of_Technological_Change_From_Unbridled_Enthusiasm_to_Qualified_Optimism_to_Vast_Uncertainty (accessed January 29, 2024). DOI: https://doi.org/10.3386/w30074

Saoudi H. (2021) The impact of new technologies on employment and the workforce. Policy Center for the New South. Available at: https://www.policycenter.ma/sites/default/files/2022-02/Report%20-%20The%20Impact%20of%20New%20Technologies%20on%20Employment%20and%20the%20Workforce.pdf (accessed January 29, 2024).

World Bank Open Data. Available at: https://data.worldbank.org/ (accessed March 25, 2024).

Pardosi A. Y., Septriani S. (2023) Determination factors of unemployment in Banten. Jurnal Ekonomi, no. 04. Available at: https://ejournal.seaninstitute.or.id/index.php/Ekonomi/article/view/3337/2725 (accessed February 17, 2024).

Tang Y. (2024) Some Causes of Unemployment and Their Relationship with the Creation and the Destruction of Jobs. The Interdisciplinary Humanities and Communication Studies Journal, vol. 1, no. 5 Available at: https://www.deanfrancispress.com/index.php/hc/article/view/481/HC000862.pdf (accessed April 29, 2024). DOI: https://doi.org/10.61173/1asfks49

Aysun U., Bouvet F., Hofler R. (2014) An alternative measure of structural unemployment. Economic Modelling, no. 38, pp. 592–603. Available at: https://eco nomics.itweb.ucf.edu/workingpapers/2012-04.pdf (accessed March 19, 2024). DOI: https://doi.org/10.1016/j.econmod.2014.02.009

Finseraas H., & Nyhus O. H. (2024) The political consequences of technological change that benefits low-skilled workers. Political Science Research and Methods, pp. 1–17. Available at: https://www.cambridge.org/core/journals/political-science-research-and-methods/article/political-consequences-of-technological-change-that-benefits-lowskilled-workers/4764F4B14E1E075D3ED8493E1CF07514 (accessed April 29, 2024). DOI: https://doi.org/10.1017/psrm.2024.5

Reserve Bank of Australia (2024). The Non-Accelerating Inflation Rate of Unemployment. Available at: https://www.rba.gov.au/education/resources/explainers/nairu.html (accessed April 9, 2024).

OECD Economic Outlook (2023). Interim Report September 2023. OECD Library. Available at: https://www.oecd.org/economy/outlook/18464874.pdf (accessed March 13, 2024).

Ceic Data (2023). NAIRU. website. Available at: https://www.ceicdata.com/ datapage/en/search?search_query=NAIRU (accessed January 29, 2024).

Global Innovation Index (2023). World Intellectual Property Organization. website. Available at: https://www.wipo.int/global_innovation_index/en/ (accessed January 29, 2024).

Lederman D. & Zouaidi M. (2020) Incidence of the Digital Economy and Frictional Unemployment. Policy Research Working Paper 9170. World Bank Group. Available at: https://openknowledge.worldbank.org/server/api/core/bitstreams/58117071-3ec0-57bc-aab8-b4da1c0a60d7/content (accessed March 13, 2024).

OECD Statistics. Available at: https://data-explorer.oecd.org/ (accessed April 13, 2024)

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Published

2024-06-07

How to Cite

Yemelyanova, L., & Mlynko, S. (2024). Analysis of the impact of technological factors on structural unemployment in developed countries. Economics and Region, (2(93), 62–70. https://doi.org/10.26906/EiR.2024.2(93).3387

Issue

Section

WORLD ECONOMY AND INTERNATIONAL ECONOMIC RELATIONS