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Is there a "Machine Substitution"? How does the digital economy reshape the employment structure in emerging market countries

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  • Qu, Yingzi
  • Fan, Sha

Abstract

The exponential growth of the digital economy, particularly in emerging market countries, has significantly reshaped employment structures characterized by substitution and supplementation effects. Will "machine substitution" result in labor flow between sectors, or will it precipitate a polarization of employment skills akin to the patterns observed in industrialized countries and lead to structural unemployment? These issues have not yet been adequately addressed. This study aims to fill this gap by examining the impact of digital economy development on the employment structure, considering both sectoral and skill perspectives. Using a panel dataset encompassing 30 emerging market countries between 2006 and 2020, we find that as the digital economy grows, the employment structure from the sectoral perspective improves in a way that favors the tertiary sector, while the employment structure from the skill perspective shows an evolutionary process from a monotonically upgrading effect to "polarization," which differs from the pattern observed in developed countries. The digital economy’s impact on emerging market countries displays discernible heterogeneity and stage-specific characteristics. The mechanism analysis underscores the role of entrepreneurial activity and the relative importance of the tertiary sector compared to the primary sector, as measured by value-added, in mediating the digital economy's effect on the employment structure. Finally, our threshold test reveals a nonlinear regulatory effect of the digital economy on the employment structure, highlighting its critical implications for policymakers and businesses.

Suggested Citation

  • Qu, Yingzi & Fan, Sha, 2024. "Is there a "Machine Substitution"? How does the digital economy reshape the employment structure in emerging market countries," Economic Systems, Elsevier, vol. 48(4).
  • Handle: RePEc:eee:ecosys:v:48:y:2024:i:4:s0939362524000591
    DOI: 10.1016/j.ecosys.2024.101237
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    1. Roberto BASILE & Cristiana DONATI & Rosanna PITTIGLIO, 2013. "Industry Structure And Employment Growth: Evidence From Semiparametric Geoadditive Models," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 121-160.
    2. Lordan, Grace & Neumark, David, 2018. "People versus machines: The impact of minimum wages on automatable jobs," Labour Economics, Elsevier, vol. 52(C), pages 40-53.
    3. Apella,Ignacio Raul & Zunino,Gonzalo, 2017. "Technological change and the labor market in Argentina and Uruguay : a task content analysis," Policy Research Working Paper Series 8215, The World Bank.
    4. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    5. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    6. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    7. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    8. 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.
    9. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2018. "Internationalisation, innovation and productivity in services: evidence from Germany, Ireland and the United Kingdom," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(3), pages 585-615, August.
    10. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    11. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    12. Daron Acemoglu & Fabrizio Zilibotti, 2001. "Productivity Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 563-606.
    13. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    14. Rafael Novella & David Rosas-Shady & Alfredo Alvarado, 2023. "Are we nearly there yet? New technology adoption and labor demand in Peru," Science and Public Policy, Oxford University Press, vol. 50(4), pages 565-578.
    15. Finkelstein Shapiro, Alan & Mandelman, Federico S., 2021. "Digital adoption, automation, and labor markets in developing countries," Journal of Development Economics, Elsevier, vol. 151(C).
    16. Pfeiffer, Sabine, 2018. "The "future of employment" on the shop floor: Why production jobs are less susceptible to computerization than assumed," International Journal for Research in Vocational Education and Training (IJRVET), European Research Network in Vocational Education and Training (VETNET), European Educational Research Association, vol. 5(3), pages 208-225.
    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. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    19. Yhlas Sovbetov, 2018. "Impact of Digital Economy on Female Employment: Evidence from Turkey," International Economic Journal, Taylor & Francis Journals, vol. 32(2), pages 256-270, April.
    20. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    21. Edward L. Glaeser & Sari Pekkala Kerr & William R. Kerr, 2015. "Entrepreneurship and Urban Growth: An Empirical Assessment with Historical Mines," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 498-520, May.
    22. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    23. 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.
    24. Elia, Gianluca & Margherita, Alessandro & Passiante, Giuseppina, 2020. "Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    25. Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018. "The Impact of Automation on Employment: Just the Usual Structural Change?," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    26. Yantong Zhao & Rusmawati Said, 2023. "The Effect of the Digital Economy on the Employment Structure in China," Economies, MDPI, vol. 11(9), pages 1-14, September.
    27. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    28. Jinqi Su & Ke Su & Shubin Wang, 2021. "Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    29. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    30. Wu, Bangzheng & Yang, Weiguo, 2022. "Empirical test of the impact of the digital economy on China's employment structure," Finance Research Letters, Elsevier, vol. 49(C).
    31. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    32. David Audretsch & Diana Heger & Tobias Veith, 2015. "Infrastructure and entrepreneurship," Small Business Economics, Springer, vol. 44(2), pages 219-230, February.
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