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The application of industrial robots and changes in capital-labour income disparity in China

Author

Listed:
  • Zhang, Xinchun
  • Yu, Qi
  • Liu, Jianxu
  • He, Ying
  • Xu, Aijia

Abstract

The technological revolution, particularly the rise of industrial robots and artificial intelligence, has significantly impacted global economic growth and income disparity. This study examines the impact of industrial robot applications on the capital-labour income disparity in China, a country with the highest number of industrial robot applications and a commitment to reducing income inequality. The findings indicate that industrial robots intensify the income disparity between capital and labour, particularly in economically underdeveloped regions characterized by less sophisticated industrial structures, low levels of human capital, underdeveloped physical capital, and inadequate market economies. The promotion of industrial structure sophistication, enhancement of human capital levels, deepening of physical capital, and advancement of market development can mitigate the adverse impact of industrial robot applications on the income disparity between capital and labour. The study underscores the necessity of institutional reforms and targeted policies across these dimensions to address the negative impacts of new technologies.

Suggested Citation

  • Zhang, Xinchun & Yu, Qi & Liu, Jianxu & He, Ying & Xu, Aijia, 2024. "The application of industrial robots and changes in capital-labour income disparity in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 42-56.
  • Handle: RePEc:eee:ecanpo:v:84:y:2024:i:c:p:42-56
    DOI: 10.1016/j.eap.2024.08.020
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    1. Ma, Hongmei & Gao, Qian & Li, Xiuzhen & Zhang, Yun, 2022. "AI development and employment skill structure: A case study of China," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 242-254.
    2. Philip Bodman & Thanh Le, 2013. "Assessing the roles that absorptive capacity and economic distance play in the foreign direct investment-productivity growth nexus," Applied Economics, Taylor & Francis Journals, vol. 45(8), pages 1027-1039, March.
    3. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    4. Shuai Guan & Jinquan Liu & Yongfu Liu & Mingze Du, 2022. "The Nonlinear Influence of Environmental Regulation on the Transformation and Upgrading of Industrial Structure," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
    5. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    6. Dai, Yixin & Hu, Yuanhong & Tian, Chuanpeng & Jiang, Min, 2024. "China's biased technological progress, labor market allocation and the change of trade division structure," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1417-1430.
    7. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
    8. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    9. Duncan K. Foley & Thomas R. Michl, 2001. "The Production Function and Productivity: Comment," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 257-258, Summer.
    10. Fujii, Hidemichi & Managi, Shunsuke, 2018. "Trends and priority shifts in artificial intelligence technology invention: A global patent analysis," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 60-69.
    11. 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.
    12. repec:nbr:nberch:14019 is not listed on IDEAS
    13. Daron Acemoglu, 2003. "Labor- And Capital-Augmenting Technical Change," Journal of the European Economic Association, MIT Press, vol. 1(1), pages 1-37, March.
    14. Dominique Guellec, 2020. "Digital Innovation and the Distribution of Income," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 323-370, National Bureau of Economic Research, Inc.
    15. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    16. Wemy, Edouard, 2021. "Capital-labor substitution elasticity: A simulated method of moments approach," Economic Modelling, Elsevier, vol. 97(C), pages 14-44.
    17. Ann Harrison, 2022. "Has Globalization Eroded Labor’s Share? Some Cross-Country Evidence," World Scientific Book Chapters, in: Globalization, Firms, and Workers, chapter 5, pages 89-135, World Scientific Publishing Co. Pte. Ltd..
    18. Manuel Trajtenberg, 2018. "AI as the next GPT: a Political-Economy Perspective," NBER Working Papers 24245, National Bureau of Economic Research, Inc.
    19. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    20. Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
    21. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    22. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    23. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    24. 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.
    25. Daron Acemoglu & Veronica Guerrieri, 2008. "Capital Deepening and Nonbalanced Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 467-498, June.
    26. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    27. Tomohara, Akinori & Takii, Sadayuki, 2011. "Does globalization benefit developing countries? Effects of FDI on local wages," Journal of Policy Modeling, Elsevier, vol. 33(3), pages 511-521, May.
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    3. Li, Xiaofan & Wang, Qiaochu & Kong, Dongmin & Tao, Yunqing, 2025. "Intelligent manufacturing and corporate human capital upgrade in China," Journal of Asian Economics, Elsevier, vol. 97(C).

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