HomePsychology and Education: A Multidisciplinary Journalvol. 38 no. 6 (2025)

Digital Transformation and Employment Patterns among Manufacturing and Service Enterprises in China: A Model Analysis

Jianyou Lu | Althea U. Denuevo

Discipline: media studies

 

Abstract:

This study examines the relationship between digital transformation and employment patterns among 364 manufacturing and service enterprises in Guangdong Province, China. Using correlation and regression analyses, the research reveals that digital transformation significantly affects employment opportunities and structure in manufacturing firms, particularly in the areas of marketing and sales and partner relationships. However, its influence on service enterprises is confined to employment structure, with minimal impact on turnover rates in both sectors. Notably, digital transformation in partner relationships emerged as the strongest predictor of an upskilled workforce in both enterprise types. These findings highlight the nuanced labor market implications of digitalization and suggest that sector-specific strategies and government support are vital to maximizing the benefits of digital transformation while mitigating employment risks.



References:

  1. Acemoglu, D., and Restrepo, P., 2020, Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188-2244.
  2. Angelini, E. C., Farina, F., and Valentini, E., 2020, Wage and employment by skill levels in technological evolution of South and East Europe. Journal of Evolutionary Economics, 30(5), 1497-1514.
  3. Bai, P., and Zhang, Y., 2021, Digital economy, declining demographic dividend, and the rights of low- and middle-skilled workers. Economic Research, 56(5), 18.
  4. Chen, Y., Huang, Q., and Wang, M., 2023, Effects of Digital Transformation on Manufacturing Employment: Substitution and Creation Effects in China. Sustainability, 15(19), 14647.
  5. China Academy of Information and Communications Technology, 2021, White Paper on China’s Digital Economy Development. http://www.caict.ac.cn/.
  6. Fleisher, B. M., McGuire, W. H., Su, Y., and Zhao, M. Q., 2023, Polarization of employment and wages in China. Economics of Transition and Institutional Change, 32(1), 49-71.
  7. Huang, Q., Wang, N., and Yang, G., 2023, Employment effects of digital economy development: A heterogeneous analysis based on three industries. Economic and Management Research, 44(11), 62-83.
  8. Mahlasela, S., and Chinyamurindi, W. T., 2020, Technology-related factors and their influence on turnover intentions: A case of government employees in South Africa. The Electronic Journal of Information Systems in Developing Countries, 86(3), e12126.
  9. Meng, Q., 2021, Digital Economy and High-Quality Employment: Theory and Empirical Evidence. Social Sciences, 02, 47-58.
  10. Ramazan Uctu, Nadide Sevil Halici Tuluce, Mustafa Aykac. (2024). Creative destruction and artificial intelligence: the transformation of industries during the sixth wave. Microelectronics Journal, 02, 296-309.
  11. Ren, T., and Liu, X., 2021, Creating or destroying: The impact of digital applications of enterprises on employment. Journal of Nanjing University of Finance and Economics, 06, 66-76.
  12. Rodionov, D., & Rudskaia, I., (2019). Problems of infrastructural development of “industry 4.0” in Russia on sibur experience. Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020, 3534-3544.
  13. Sharfiei, S., 2024, Robots and employment: A review. International Labour Review, 163(2), 271-293.
  14. Tian, X., and Pei, J., 2021, The impact of digital economy on employment: Thinking based on the epidemic situation in 2020. E3S Web of Conferences, 235, 03034.
  15. Wang, Y., Liu, L., and Wei, W., 2023, Research on Employment Risks and Governance Mechanisms Faced by China in the Era of Digital Economy. Journal of Jinan University: Social Sciences Edition, 33(4), 98-107.
  16. Yildirim, D. Ç., Yildirim, S., Erdogan, S., and Kantarci, T., 2022, Innovation—Unemployment Nexus: The case of EU countries. International Journal of Financial Economics, 27, 1208-1219.
  17. Zhang, X., and Dong, C., 2019, Where to Go for “All-round Human Development” under the Condition of Artificial Intelligence Technology - Also Discussing the General Characteristics of Labor under New Technologies. Economist, 2(1), 43-52.