Preview

Economy: strategy and practice

Advanced search

Assessment of the Impact of the Digital Economy on Labor Resources Transformation in Kazakhstan

https://doi.org/10.51176/1997-9967-2025-1-19-30

Abstract

The present paper analyzed the impact of the digital economy and innovations on Kazakhstan’s labor resource transformation from theoretical and empirical perspectives. By means of correlation analysis the factors that were the most significant for the result variable - the employed population in high-tech and knowledge-intensive sectors of the economy were determined (R2>0,8). However, the correlation analysis revealed the multicollinearity - close linear relationship between all factors. In this regard, the method of statistical equations of dependencies was applied for further research. During the study, a multifactorial equation of dependencies was calculated. Key socio-economic factors influencing population employment in high-tech and knowledge-intensive sectors of the economy were determined. The degree of influence of each factor on the result variable was calculated. Thus, the level of employment in high-tech and knowledge-intensive industries of Kazakhstan is most influenced by four key factors: the share of Internet users, the degree of influence of this indicator is the most significant and amounted to 38.28%; the share of computer users – 28.27%; gross domestic product per capita - 19.47%; and internal expenditure on research and development work – 11.69%. Taking into account the fact that the digital innovation era today is almost at the very beginning of its development, the digital processes occurring in the economy, in particular in the labor market, require monitoring and in-depth analysis for the timely development of management levers and control of their impact, that only emphasizes the relevance of this study.

About the Authors

S. A. Kaliyeva
Institute of Economics CS MSHE RK
Kazakhstan

Saule A. Kaliyeva – Doc. Sc. (Econ.), Associate Professor, Institute of Economics CS MSHE RK.

28 Shevchenko Str., A25K1B0, Almaty

87013969630



A. F. Maxyutova
Institute of Economics CS MSHE RK
Kazakhstan

Ainura F. Maxyutova – PhD, researcher Institute of Economics CS MSHE RK.

28 Shevchenko Str., A25K1B0, Almaty



R. U. Rakhmetova
Institute of Economics CS MSHE RK
Kazakhstan

Rakhila U. Rakhmetova – Doc. Sc. (Econ.), Professor, Institute of Economics CS MSHE RK.

28 Shevchenko Str., A25K1B0, Almaty



S. E. Alpeissova
S. Seifullin Kazakh Agro Technical Research University
Kazakhstan

Sholpan E. Alpeissova – PhD, Associate Professor, S. Seifullin Kazakh Agro Technical Research University.

62 Zhenis ave., Astana



References

1. Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488-1542. https://doi.org/10.1257/aer.20160696

2. Acemoglu, D., & Restrepo, P. (2019). Automation and New Tasks: How Technology Displaces and Reinstates Labor. Journal of Economic Perspectives 33(2), 3–30. https://doi.org/10.1257/jep.33.2.3

3. Autor, D. H., & Dorn, D. (2013). The growth of low-skill service jobs and the polarization of the US labor market. American Economic Review, 103(5), 1553-1597. https://doi.org/10.1257/aer.103.5.1553

4. Bashieva, Zh., Mukhamediyeva, G., Syzdykova, K., Bokishanova, F., & Maulina, N. (2023). Digital economy in the republic of Kazakhstan. Bulletin the National academy of sciences of the Republic of Kazakhstan, 5(405), 348-364. https://journals.nauka-nanrk.kz/bulletin-science/article/view/5834/4095 (In Russ.)

5. Bolt, E., Winterton, J., & Cafferkey, K. (2022). A century of labour turnover research: A systematic literature review. International Journal of Management Reviews, 24(4). https://doi.org/10.1111/ijmr.12294

6. Brynjolfsson, E., & McAfee, A. (2016). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, W. W. Norton & Company.

7. Bureau of National Statistics. (2024). Bureau of National Statistics of the Republic of Kazakhstan. Retrieved from https://stat.gov.kz/en

8. Chebakova, A. A., & Knyazeva, A. A. (2024). Анализ эффективности труда в условиях цифровой трансформации [Analysis of labor efficiency in the context of digital transformation]. Scientific Aspect, 9(2), 1103-1108. https://na-journal.ru/arhiv/9874-zhurnal-nauchnyj-aspekt-2-2024-tom9 (In Russ.)

9. Chen, N., Sun, D., & Chen, J. (2022). Digital transformation, labour share, and industrial heterogeneity. Journal of Innovation & Knowledge, 7(2),100173. https://doi.org/10.1016/j.jik.2022.100173

10. Chen, W., & Srinivasan, S. (2023). Going digital: Implications for firm value and performance. Review of Accounting Studies (Forthcoming). http://dx.doi.org/10.2139/ssrn.4177947

11. Gaggl, P., & Wright, G.C. (2017). A Short-Run View of What Computers Do: Evidence from a UK Tax Incentive. American Economic Journal: Applied Economics, 9(3), 262-294. https://doi.org/10.1257/app.20150411

12. Graetz, G., & Michaels, G. (2018). Robots at work. The Review of Economics and Statistics, 100(5), 753– 768. https://doi.org/10.1162/rest_a_00754

13. Karabarbounis, L., & Neiman, B. (2014). The global decline of the labor share. The Quarterly Journal of Economics, 129(1), 61–103. https://doi.org/10.1093/qje/qjt032

14. Oberfield, E., & Raval, D. (2021). Micro data and macro technology. Econometrica, 89(2), 703-732. https://doi.org/10.3982/ECTA12807

15. On approval of the Concept of digital transformation, development of the information and communication technology industry and cybersecurity for 2023-2029 Resolution of the Government of the Republic of Kazakhstan dated March 28, 2023 No. 269. Retrieved from https://adilet.zan.kz/rus/docs/P2300000269

16. Rakhmetova, R. U., & Dubrova, T. A. (2011). Prikladnye modeli ekonometriki [Applied econometrics models]. (R. U. Rakhmetova & T. A. Dubrova, Eds.). Economy. (In Russ.)

17. Qin, Sh., Liu, Z., Wang, J., & Wu, Y. (2024). The impact of digital transformation on labor demand quantity and structure: Evidence from China. Economic Analysis and Policy, 84, 1452-1469. https://doi.org/10.1016/j.eap.2024.10.036

18. Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114-123.


Review

For citations:


Kaliyeva S.A., Maxyutova A.F., Rakhmetova R.U., Alpeissova S.E. Assessment of the Impact of the Digital Economy on Labor Resources Transformation in Kazakhstan. Economy: strategy and practice. 2025;20(1):19-30. https://doi.org/10.51176/1997-9967-2025-1-19-30

Views: 187


ISSN 1997-9967 (Print)
ISSN 2663-550X (Online)