Impact of technological progress on the structure of the labor force
Yuyang Ping
Xiangtan University
Jiaxing Li
Xiangtan University
Yitong Han
Xiangtan University
Jiuzhen Yan
Xiangtan University
Siying Wang
Xiangtan University
DOI: https://doi.org/10.59429/bam.v6i4.8368
Keywords: Technological progress; Labor market; Eastern and mid-west regions; Income inequality
Abstract
This paper explores how technological progress affects China’s labor market, leading to job polarization with a rise in high-skilled positions and a decline in medium- and low-skilled roles. It discusses regional impacts, with eastern ragion gaining high-skill jobs and mid-west losing low-skill ones. The study calls for educational reforms to bridge skill gaps and reduce unemployment. It notes that while progress boosts growth, it also increases income inequality, requiring policy attention. Future research is needed to guide policy on technology’s long-term employment effects.
References
[1] Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives, 29(3), 3-30.
[2] Lucero, K. (2019). Artificial intelligence regulation and China's future. Colum. J. Asian L., 33, 94.
[3] Goos, M., Manning, A., & Salomons, A. (2014). Explaining job polarization: Routine-biased technological change and offshoring. American economic review, 104(8), 2509-2526.
[4] Cortes, G. M., Jaimovich, N., & Siu, H. E. (2017). Disappearing routine jobs: Who, how, and why?. Journal of Monetary Economics, 91, 69-87.
[5] 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.
[6] Chen, H. C., Li, X., Frank, M., Qin, X., Xu, W., Cebrian, M., & Rahwan, I. (2022). Automation impacts on China’s polarized job market. Journal of Computational Social Science, 1-19.
[7] Acemoglu, D. (1998). Why do new technologies complement skills? Directed technical change and wage inequality. The quarterly journal of economics, 113(4), 1055-1089.
[8] Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly journal of economics, 118(4), 1279-1333.
[9] 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.
[10] Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & company.
[11] Bessen, J. (2018). AI and jobs: The role of demand (No. w24235). National Bureau of Economic Research.
[12] Shen, Y., & Zhang, X. (2024). The impact of artificial intelligence on employment: the role of virtual agglomeration. Humanities and Social Sciences Communications, 11(1), 1-14.
[13] Acemoglu, D., & Autor, D. H. (2011). Skills, tasks and technologies: Implications for employment and earnings. Handbook of Labor Economics, 4, 1043-1171.
[14] Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of political economy, 128(6), 2188-2244.
[15] 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.
[16] Autor, D., & Salomons, A. (2018). Is automation labor-displacing? Productivity growth, employment, and the labor share (No. w24871). National Bureau of Economic Research.
[17] Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & company.
[18] Bessen, J. (2018). AI and jobs: The role of demand (No. w24235). National Bureau of Economic Research.
[19] Chen, P., & Kim, S. (2023). The impact of digital transformation on innovation performance-The mediating role of innovation factors. Heliyon, 9(3).
[20] 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.
[21] Goos, M., Manning, A., & Salomons, A. (2014). Explaining job polarization: Routine-biased technological change and offshoring. American Economic Review, 104(8), 2509-2526.
[22] Luo, J., Wang, Z., & Wu, M. (2021). Effect of place-based policies on the digital economy: Evidence from the Smart City Program in China. Journal of Asian Economics, 77, 101402.