IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7703-d591610.html
   My bibliography  Save this article

Impact of Industry 4.0 and Digitization on Labor Market for 2030-Verification of Keynes’ Prediction

Author

Listed:
  • Gábor Szabó-Szentgróti

    (Institute of Economic Sciences, Department of Management and Leadership Sciences, Hungarian University of Agriculture and Life Sciences, Guba Sándor Road 40, H-7400 Kaposvár, Hungary)

  • Bence Végvári

    (Institute of Economic Sciences, Department of Management and Leadership Sciences, Hungarian University of Agriculture and Life Sciences, Guba Sándor Road 40, H-7400 Kaposvár, Hungary)

  • József Varga

    (Institute for Business Regulation and Information Management, Hungarian University of Agriculture and Life Sciences, Guba Sándor Road 40, H-7400 Kaposvár, Hungary
    Corvinus University of Budapest, Fővám Square 8, H-1093 Budapest, Hungary)

Abstract

The research objective of this study is to examine the changes in technological unemployment and to evaluate Keynes’ theory based on a literature analysis concerning the fourth industrial revolution. The methodology used in this study is a literature analysis of 86 papers published between 2011 and 2020 on topics related to Industry 4.0, the labor market, and technological unemployment. The change caused by the labor market raises employment sustainability issues. Among the goals adopted at the 2012 UN Rio+20 Conference on Sustainable Development, this study is directly related to goals 8 and 9, and indirectly to goal 10. Research evidence suggests that the impact of Industry 4.0 processes will reduce the amount of labor needed, bringing us closer to Keynes’ vision of three hours a day. The analysis suggests that reduced working hours will increase economic efficiency through more intensive work. The literature is used to determine whether the trend of reduced working hours can be interpreted as a positive or negative phenomenon. The extent of technological unemployment is determined by the digitalization strategy of each country and the speed of its introduction, as well as the readiness of the education system in a given country to retrain vulnerable groups in the labor market. However, the overall picture is positive: on the one hand, digital transformation opens up a wide range of opportunities for a more human life, and on the other hand, from an economic point of view, digitalization will become an inescapable element of competition by reducing marginal costs. The study’s novelty is that the effects of Industry 4.0 and technological unemployment on the labor market are analyzed in the context of Keynes’ theory.

Suggested Citation

  • Gábor Szabó-Szentgróti & Bence Végvári & József Varga, 2021. "Impact of Industry 4.0 and Digitization on Labor Market for 2030-Verification of Keynes’ Prediction," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7703-:d:591610
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7703/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/14/7703/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    2. Marcin J. Piątkowski, 2020. "Expectations and Challenges in the Labour Market in the Context of Industrial Revolution 4.0. The Agglomeration Method-Based Analysis for Poland and Other EU Member States," Sustainability, MDPI, vol. 12(13), pages 1-29, July.
    3. Johansson, Jan & Abrahamsson, Lena & Kåreborn, Birgitta Bergvall & Fältholm, Ylva & Grane, Camilla & Wykowska, Agnieszka, 2017. "Work and Organization in a Digital Industrial Context," management revue - Socio-Economic Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 28(3), pages 281-297.
    4. Alexandre Moeuf & Robert Pellerin & Samir Lamouri & Simon Tamayo-Giraldo & Rodolphe Barbaray, 2018. "The industrial management of SMEs in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1118-1136, February.
    5. John Maynard Keynes, 2010. "Essays in Persuasion," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-59072-8.
    6. Kinga Hat & Gernot Stoeglehner, 2020. "Spatial Dimension of the Employment Market Exposition to Digitalisation—The Case of Austria," Sustainability, MDPI, vol. 12(5), pages 1-29, March.
    7. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    8. John Maynard Keynes, 2010. "Economic Possibilities for Our Grandchildren," Palgrave Macmillan Books, in: Essays in Persuasion, chapter 2, pages 321-332, Palgrave Macmillan.
    9. Kamerāde, Daiga & Wang, Senhu & Burchell, Brendan & Balderson, Sarah Ursula & Coutts, Adam, 2019. "A shorter working week for everyone: How much paid work is needed for mental health and well-being?," Social Science & Medicine, Elsevier, vol. 241(C).
    10. Majid Ziaei Nafchi & Hana Mohelská, 2018. "Effects of Industry 4.0 on the Labor Markets of Iran and Japan," Economies, MDPI, vol. 6(3), pages 1-13, July.
    11. Judit Nagy & Judit Oláh & Edina Erdei & Domicián Máté & József Popp, 2018. "The Role and Impact of Industry 4.0 and the Internet of Things on the Business Strategy of the Value Chain—The Case of Hungary," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
    12. Eichhorst, Werner & Hinte, Holger & Rinne, Ulf & Tobsch, Verena, 2017. "How Big is the Gig? Assessing the Preliminary Evidence on the Effects of Digitalization on the Labor Market," management revue - Socio-Economic Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 28(3), pages 298-318.
    13. Novakova, Lucia, 2020. "The impact of technology development on the future of the labour market in the Slovak Republic," Technology in Society, Elsevier, vol. 62(C).
    14. Mikhail V. Vinichenko & Alexander V. Melnichuk & Peter Karácsony, 2020. "Technologies of improving the university efficiency by using artificial intelligence: motivational aspect," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(4), pages 2696-2714, June.
    15. 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.
    16. Guilherme Luz Tortorella & Diego Fettermann, 2018. "Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2975-2987, April.
    17. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    18. Robert J. Gordon, 2012. "Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds," NBER Working Papers 18315, National Bureau of Economic Research, Inc.
    19. Bikash Koli Dey & Sarla Pareek & Muhammad Tayyab & Biswajit Sarkar, 2021. "Autonomation policy to control work-in-process inventory in a smart production system," International Journal of Production Research, Taylor & Francis Journals, vol. 59(4), pages 1258-1280, February.
    20. Stepan Zemtsov, 2020. "New technologies, potential unemployment and ‘nescience economy’ during and after the 2020 economic crisis," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(4), pages 723-743, August.
    21. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elmohandes, Nirmeen & Csobán, Katalin, 2022. "The Industrial 4.0 Revolution: Can it Positively Step into Sustainable Hospitality?," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 16(2), December.
    2. Aleksandra Kuzior, 2022. "Technological Unemployment in the Perspective of Industry 4.0," Virtual Economics, The London Academy of Science and Business, vol. 5(1), pages 7-23, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Bürgisser, Reto, 2023. "Policy Responses to Technological Change in the Workplace," SocArXiv kwxn2, Center for Open Science.
    3. Grybauskas, Andrius & Stefanini, Alessandro & Ghobakhloo, Morteza, 2022. "Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0," Technology in Society, Elsevier, vol. 70(C).
    4. Julia Bock-Schappelwein & Michael Böheim & Elisabeth Christen & Stefan Ederer & Matthias Firgo & Klaus S. Friesenbichler & Werner Hölzl & Mathias Kirchner & Angela Köppl & Agnes Kügler & Christine May, 2018. "Politischer Handlungsspielraum zur optimalen Nutzung der Vorteile der Digitalisierung für Wirtschaftswachstum, Beschäftigung und Wohlstand," WIFO Studies, WIFO, number 61256, April.
    5. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    6. Eliza Forsythe, 2020. "Automation and Technological Change: The Outlook for Workers and Economies," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 27-30, September.
    7. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    8. Ilona Pavlenkova & Luca Alfieri & Jaan Masso, 2021. "Effects Of Automation On The Gender Pay Gap: The Case Of Estonia," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 131, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    9. Fernández-Macías, Enrique & Klenert, David & Antón, José-Ignacio, 2021. "Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 76-89.
    10. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
    11. Miriam A. CHERRY, 2020. "Back to the future: A continuity of dialogue on work and technology at the ILO," International Labour Review, International Labour Organization, vol. 159(1), pages 1-23, March.
    12. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Does technological innovation bring destruction or creation to the labor market?," Technology in Society, Elsevier, vol. 68(C).
    13. Kaltenberg, Mary & Foster-McGregor, Neil, 2020. "The impact of automation on inequality across Europe," MERIT Working Papers 2020-009, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Zuazu-Bermejo, Izaskun, 2022. "Robots and women in manufacturing employment," ifso working paper series 19, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    15. Damioli, G. & Van Roy, V. & Vertesy, D. & Vivarelli, M., 2021. "May AI revolution be labour-friendly? Some micro evidence from the supply side," GLO Discussion Paper Series 823, Global Labor Organization (GLO).
    16. Foster-McGregor, Neil & Nomaler, Önder & Verspagen, Bart, 2021. "Job Automation Risk, Economic Structure and Trade: a European Perspective," Research Policy, Elsevier, vol. 50(7).
    17. Ramos, Minerva E. & Garza-Rodríguez, Jorge & Gibaja-Romero, Damian E., 2022. "Automation of employment in the presence of industry 4.0: The case of Mexico," Technology in Society, Elsevier, vol. 68(C).
    18. Gersbach, Hans & Schmassmann, Samuel, 2019. "Skills, Tasks, and Complexity," IZA Discussion Papers 12770, Institute of Labor Economics (IZA).
    19. Kerstin Hotte & Angelos Theodorakopoulos & Pantelis Koutroumpis, 2021. "Automation and Taxation," Papers 2103.04111, arXiv.org, revised Apr 2022.
    20. Silvio Traverso & Massimiliano Vatiero & Enrico Zaninotto, 2023. "Robots and labor regulation: a cross-country/cross-industry analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(7), pages 977-999, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7703-:d:591610. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.