Open Access Peer-reviewed Research Article

Research on the impact of artificial intelligence on the employment environment of labors in China

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Submitted   Sep 20, 2023
Published   Nov 29, 2023
Issue    Vol 4 No 2 (2023)
DOI   10.25082/FMB.2023.02.003

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Nannan Shan corresponding author
Management and Science University, Selangor, Malaysia

Abstract

Purpose: The development of artificial intelligence technology can undoubtedly trigger profound changes in the labor market. Empirical analysis of the impact of artificial intelligence on the employment environment and its mechanism can propose effective paths to optimize the employment environment, which can effectively promote the improvement of the employment environment for Chinese labors and the stability of the employment situation. Based on the limitations of the development of artificial intelligence technology in China, this study focuses on studying its impact on the employment environment in the short term, and the long-term effects on the employment environment in China will become the author's future focus and research direction.
Methodology: This study uses quantitative research methods, based on Panel data of 30 provinces in China from 2009 to 2019, and uses program computer software Stata 17.0 for data processing and empirical analysis.
Conclusion: AI technology has a significant positive role in promoting the employment environment, and the new Information infrastructure represented by the Internet is conducive to promoting the positive moderating of AI on the employment environment. Through further research, it was found that the employment environment improvement effect of AI technology has regional differences, with a greater impact on the employment environment in the eastern region than in the western region, while the impact on the central region is not significant.

Keywords
AI technology, employment environment, information infrastructure, empirically analysis

Article Details

Supporting Agencies
Management and Science University
How to Cite
Shan, N. (2023). Research on the impact of artificial intelligence on the employment environment of labors in China. Frontiers in Management and Business, 4(2), 330-339. https://doi.org/10.25082/FMB.2023.02.003
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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  28. Han J, Yan XF, Wei NN. Regional Differences in the Impact of AI on China's Employment Skills Structure. Northwest Population. 2022, 3(49): 45-57.
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  31. Acemoglu D, Restrepo P. Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation. American Economic Review. 2017, 107(5): 174-179. https://doi.org/10.1257/aer.p20171101
  32. Acemoglu D, Restrepo P. Modeling Automation. AEA Papers and Proceedings. 2018, 108: 48-53. https://doi.org/10.1257/pandp.20181020
  33. Acemoglu D, Restrepo P. Automation and New Tasks: How Technology Displaces and Reinstates Labor. Journal of Economic Perspectives. 2019, 33(2): 3-30. https://doi.org/10.1257/jep.33.2.3
  34. Frey CB, Osborne MA. The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change. 2017, 114: 254-280. https://doi.org/10.1016/j.techfore.2016.08.019
  35. Acemoglu D, Autor D. Skills, Tasks and Technologies: Implications for Employment and Earnings. Handbook of Labor Economics. Published online 2011: 1043-1171. https://doi.org/10.1016/s0169-7218(11)02410-5
  36. Mao YF, Hu WX. The impact of AI application on the employment quality of human resources practitioners. Economic Management. 2020, 7(11): 92-108 .
  37. Chen Z, Cheng CP, Chen A. AI promotes high-quality employment research in China. Economic Issues. 2022, 9: 41-51.
  38. Sui X. AI technology and improvement of labor employment environment. Economic issues. 2022, 10: 73-82.
  39. Guo CX, Fang AO. AI promotes high-quality economic development: mechanism, problems and countermeasures. Guangxi Social Sciences, 2021, 8.
  40. Zhang X. How to understand the impact of AI on the future economy and society (People's Daily Online), 2020. https://it.people.com.cn/n1/2020/0903/c1009-31847145.html
  41. Qi YD, Liu CH, Ding SL. Digital Economy Development, Employment Structure Optimization and Employment Quality Improvement. Economic Momentum. 2020, 11: 11-35.
  42. Zhang S, Guo JJ. The impact of employment quality on the unemployment rate of urban residents. Chinese Population Science, 2020, 1: 73-84.
  43. Lu J, Du CW, Li YX. Will the application of industrial robots force the transformation of a country's manufacturing labor force structure? --Based on the empirical analysis of 22 countries from 1990 to 2015. Technology Management Research, 2017, 22: 32-41.
  44. Han MC, Qiao G. The structural impact and regional differences of industrial robots on labor employment in manufacturing. Sankei Review. 2020, 5(3): 49-63.
  45. Kang X, Lin GH. Industrial Robots and Employment of Migrant Laborers: Substitution or Promotion. Journal of Shanxi University of Finance and Economics. 2021, 43(2): 43-56.
  46. Lu TT, Zhu ZY. Will AI Reduce Labor Income Share--A Test Based on Fixed Effect Model and Panel Quantile Model. Journal of Shanxi University of Finance and Economics. 2021, 43(11): 29-41.
  47. Tan YS, Wang LH, Hu SM. Can AI technology promote the improvement of employment quality? Journal of Harbin University of Commerce (Social Science Edition). 2022, 3(3): 65-89.