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The impact of automation on human capital investment

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  • Yang, Jia
  • Pei, Yu
  • Qiang, Wei

Abstract

This paper examines the impact of automation on household human capital investment using a micro-sample from the China Family Tracking Survey (CFPS). The findings suggest that the advance of automation stimulates household human capital investment. This impact is heterogeneous at both the household level and the regional level. For households where the head of the household is male or where the head of the household has a low level of education, it is easier to invest in education due to technological advances. In addition, mechanism analysis suggests that automation positively affects household human capital investment indirectly through public spending on education. This study contributes to a better understanding of how governments and households can cope with the technological shocks brought about by automation.

Suggested Citation

  • Yang, Jia & Pei, Yu & Qiang, Wei, 2024. "The impact of automation on human capital investment," Finance Research Letters, Elsevier, vol. 62(PB).
    • Handle: RePEc:eee:finlet:v:62:y:2024:i:pb:s1544612324002484
    DOI: 10.1016/j.frl.2024.105218
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    1. Christophe Combemale & Kate S Whitefoot & Laurence Ales & Erica R H Fuchs, 2021. "Not all technological change is equal: how the separability of tasks mediates the effect of technology change on skill demand [Patterns of industrial innovation]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1361-1387.
    2. Manabu Nose, 2017. "Estimation of drivers of public education expenditure: Baumol’s effect revisited," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(3), pages 512-535, June.
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    5. Schclarek, Alfredo, 2007. "Fiscal policy and private consumption in industrial and developing countries," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 912-939, December.
    6. Heß, Pascal & Janssen, Simon & Leber, Ute, 2023. "The effect of automation technology on workers’ training participation," Economics of Education Review, Elsevier, vol. 96(C).
    7. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    8. Dilip Mookherjee & Debraj Ray, 2022. "Growth, Automation and the Long-Run Share of Labor," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 46, pages 1-26, October.
    9. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    10. Pengqing Zhang, 2022. "Can public subsidy on education reduce wage inequality in the presence of automation?," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 6850-6866, December.
    11. Sierdjan Koster & Claudia Brunori, 2021. "What to do when the robots come? Non-formal education in jobs affected by automation," International Journal of Manpower, Emerald Group Publishing Limited, vol. 42(8), pages 1397-1419, April.
    12. Terry Gregory & Anna Salomons & Ulrich Zierahn, 2022. "Racing With or Against the Machine? Evidence on the Role of Trade in Europe," Journal of the European Economic Association, European Economic Association, vol. 20(2), pages 869-906.
    13. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    14. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    15. Dilip Mookherjee & Debraj Ray, 2022. "Growth, Automation and the Long-Run Share of Labor," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 46, pages 1-26, October.
    16. Búi K Petersen & James Chowhan & Gordon B Cooke & Ray Gosine & Peter J Warrian, 2023. "Automation and the future of work: An intersectional study of the role of human capital, income, gender and visible minority status," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(3), pages 703-727, August.
    17. Chi, Wei & Qian, Xiaoye, 2016. "Human capital investment in children: An empirical study of household child education expenditure in China, 2007 and 2011," China Economic Review, Elsevier, vol. 37(C), pages 52-65.
    18. Shimizu, Ryosuke & Momoda, Shohei, 2023. "Does automation technology increase wage?," Journal of Macroeconomics, Elsevier, vol. 77(C).
    19. Yuan, Cheng & Zhang, Lei, 2015. "Public education spending and private substitution in urban China," Journal of Development Economics, Elsevier, vol. 115(C), pages 124-139.
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