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Demography, Unemployment, Automation, and Digitalization: Implications for the Creation of (Decent) Jobs, 2010–2030

Author

Listed:
  • Bloom, David E.

    (Harvard School of Public Health)

  • McKenna, Matthew J.

    (Data for Decisions LCC)

  • Prettner, Klaus

    (Vienna University of Economics and Business)

Abstract

Globally, an estimated 734 million jobs will be required between 2010 and 2030 to accommodate recent and ongoing demographic shifts, account for plausible changes in labour force participation rates, and achieve target unemployment rates of at or below 4 percent for adults and at or below 8 percent for youth. The facts that i) most new jobs will be required in countries where "decent" jobs are less prevalent and ii) workers in many occupations are increasingly subject to risks of automation further compound the challenge of job creation, which is already quite sizable in historical perspective. Failure to create the jobs that are needed through 2030 would put currently operative social security systems under pressure and undermine efforts to guarantee the national social protection floors enshrined in the Sustainable Development Goals (SDGs).

Suggested Citation

  • 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).
  • Handle: RePEc:iza:izadps:dp11739
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    References listed on IDEAS

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    Cited by:

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    2. Rod Tyers & Yixiao Zhou, 2023. "Automation and inequality with taxes and transfers," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(1), pages 68-100, February.
    3. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    4. Zhang, Xinchun & Sun, Murong & Liu, Jianxu & Xu, Aijia, 2024. "The nexus between industrial robot and employment in China: The effects of technology substitution and technology creation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    5. Klaus Kornwachs & Nico Stehr, 2021. "Die Frage der Qualifizierung in einer digitalisierten Gesellschaft [The Question of Qualification in a Digitalised Society]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(1), pages 33-39, January.
    6. Debelak, Katja & Grah, Barbara & Penger, Sandra, 2023. "Ageing Workforce's Impact on Modern Organizations: How to Extend Working Lives?," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2023), Hybrid Conference, Dubrovnik, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 4-6 September, 2023, pages 166-180, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    7. Guimarães, Luís & Mazeda Gil, Pedro, 2022. "Looking ahead at the effects of automation in an economy with matching frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    8. 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.
    9. Ghannouchi, Imen, 2023. "Examining the dynamic nexus between industry 4.0 technologies and sustainable economy: New insights from empirical evidence using GMM estimator across 20 OECD nations," Technology in Society, Elsevier, vol. 75(C).
    10. Alarco, Germán, 2023. "Concentration of wealth and income in post-pandemic Latin-America: Measurement, results, and perspective," MPRA Paper 119516, University Library of Munich, Germany.
    11. Mirzaei Abbasabadi, Hamed & Soleimani, Mohammad, 2021. "Examining the effects of digital technology expansion on Unemployment: A cross-sectional investigation," Technology in Society, Elsevier, vol. 64(C).
    12. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
    13. Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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    More about this item

    Keywords

    demography; unemployment; job creation; automation; digitalization;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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