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On the Substitution and Complementarity between Robots and Labor: Evidence from Advanced and Emerging Economies

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  • Jing Li

    (Intellectual Property Research Institute, Xiamen University, Xiamen 361005, China)

  • Zidong An

    (School of Applied Economics, Renmin University of China, Beijing 100872, China)

  • Yan Wang

    (School of Applied Economics, Renmin University of China, Beijing 100872, China)

Abstract

This paper aims to empirically study the short-term relationship between robot adoption and the labor market across a diverse set of advanced and emerging economies. Additionally, it seeks to analyze the impact of macroeconomic and institutional factors on this relationship. This study reveals robot adoption promotes employment growth in advanced economies, while it has a negative effect on employment in emerging economies. This heterogeneity can be attributed to both direct and indirect linkages between robots and labor in production. Directly, robots can either substitute or complement human labor. Indirectly, robot adoption stimulates output growth, leading to increased labor demand. We also show that the robot–labor relationship is influenced by macroeconomic variables such as development stage, unemployment rate, and education level, as well as institutional variables such as business regulation and structural reforms. These findings suggest the need for a more inclusive and sustainable approach to the advancement of robot adoption and automation.

Suggested Citation

  • Jing Li & Zidong An & Yan Wang, 2023. "On the Substitution and Complementarity between Robots and Labor: Evidence from Advanced and Emerging Economies," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9790-:d:1174607
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    1. Lorenzo E Bernal-Verdugo & Davide Furceri & Dominique Guillaume, 2012. "Labor Market Flexibility and Unemployment: New Empirical Evidence of Static and Dynamic Effects," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 54(2), pages 251-273, June.
    2. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    3. repec:hal:spmain:info:hdl:2441/170cd4sul89ddpnfuomvfm0jc0 is not listed on IDEAS
    4. 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.
    5. 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.
    6. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    7. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    8. 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.
    9. Philippe Aghion & Céline Antonin & Simon Bunel & Xavier Jaravel, 2020. "What Are the Labor and Product Market Effects of Automation? New Evidence from France," SciencePo Working papers Main hal-03403062, HAL.
    10. Paul Gaggl & Greg C. Wright, 2017. "A Short-Run View of What Computers Do: Evidence from a UK Tax Incentive," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 262-294, July.
    11. Bloom, David E. & McKenna, Matthew J. & Prettner, Klaus, 2018. "Demography, Unemployment, Automation, and Digitalization: Implications for the Creation of (Decent) Jobs, 2010–2030," IZA Discussion Papers 11739, Institute of Labor Economics (IZA).
    12. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    13. Alesina, Alberto & Furceri, Davide & Ostry, Jonathan D. & Papageorgiou, Chris & Quinn, Dennis, 2020. "Structural Reforms and Elections: Evidence from a World-Wide New Dataset," CEPR Discussion Papers 14371, C.E.P.R. Discussion Papers.
    14. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
    15. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.
    16. Zidong An & John Bluedorn & Gabriele Ciminelli, 2022. "Okun’s Law, development, and demographics: differences in the cyclical sensitivities of unemployment across economy and worker groups," Applied Economics, Taylor & Francis Journals, vol. 54(36), pages 4227-4239, August.
    17. 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.
    18. Ceyhun Elgin & Oguz Oztunali, 2014. "Institutions, Informal Economy, and Economic Development," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(4), pages 145-162.
    19. repec:hal:spmain:info:hdl:2441/3n1gbsj6rs80ipqv9d42nfd0ge is not listed on IDEAS
    20. Daniel Susskind, 2017. "A Model of Technological Unemployment," Economics Series Working Papers 819, University of Oxford, Department of Economics.
    21. Alonso, Cristian & Berg, Andrew & Kothari, Siddharth & Papageorgiou, Chris & Rehman, Sidra, 2022. "Will the AI revolution cause a great divergence?," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 18-37.
    22. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    23. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
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