IDEAS home Printed from https://ideas.repec.org/a/bas/econth/y2022i3p269-300.html
   My bibliography  Save this article

Digitalisation and Its Impact on Employment: Quantitative and Qualitative Aspects

Author

Listed:
  • Iskra Beleva

Abstract

As a stage of technological changes, digitalisation opens a new world for human society and economic development, where the traditional views on the labour market face significant challenges. The current study presents the views on the nature of digitalisation, its manifestation according to the adopted measurement indicators, and the place of Bulgaria in these processes. The study focuses on the discussions in the economic literature on two important issues about the impact of digitalisation on the labour market. The first issue is what quantitative changes are possible in labour/job demand as humans are replaced by technology. The second issue is what changes occur in the nature of labour, respectively, in the professions and skills of the employees.

Suggested Citation

  • Iskra Beleva, 2022. "Digitalisation and Its Impact on Employment: Quantitative and Qualitative Aspects," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 269-300.
    • Handle: RePEc:bas:econth:y:2022:i:3:p:269-300
    as

    Download full text from publisher

    File URL: https://etj.iki.bas.bg/storage/app/uploads/public/62e/a02/fde/62ea02fde55c8511134195.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eli Bekman & John Bound & Stephen Machin, 1998. "Implications of Skill-Biased Technological Change: International Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1245-1279.
    2. repec:oec:stiaaa:2016/2-en is not listed on IDEAS
    3. 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.
    4. Luca Marcolin & Sébastien Miroudot & Mariagrazia Squicciarini, 2016. "The Routine Content Of Occupations: New Cross-Country Measures Based On PIAAC," OECD Trade Policy Papers 188, OECD Publishing.
    5. Walwei, Ulrich., 2016. "Digitalization and structural labour market problems the case of Germany," ILO Working Papers 994936693502676, International Labour Organization.
    Full references (including those not matched with items on IDEAS)

    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. John Burgess & Julia Connell, 2020. "New technology and work: Exploring the challenges," The Economic and Labour Relations Review, , vol. 31(3), pages 310-323, September.
    2. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    3. 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).
    4. Robert Stehrer, 2022. "The Impact of ICT and Intangible Capital Accumulation on Labour Demand Growth and Functional Income Shares," wiiw Working Papers 218, The Vienna Institute for International Economic Studies, wiiw.
    5. Gravina, Antonio Francesco & Foster-McGregor, Neil, 2020. "Automation, globalisation and relative wages: An empirical analysis of winners and losers," MERIT Working Papers 2020-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Piotr Lewandowski & Albert Park & Wojciech Hardy & Yang Du & Saier Wu, 2022. "Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data," The World Bank Economic Review, World Bank, vol. 36(3), pages 687-708.
    7. Christian Gschwendt, 2022. "Routine job dynamics in the Swiss labor market," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-21, December.
    8. Rita K. Almeida & Ana M. Fernandes & Mariana Viollaz, 2017. "Does the Adoption of Complex Software Impact Employment Composition and the Skill Content of Occupations? Evidence from Chilean Firms," CEDLAS, Working Papers 0214, CEDLAS, Universidad Nacional de La Plata.
    9. Du Yuhong & Wei Xiahai, 2020. "Task content routinisation, technological change and labour turnover: Evidence from China," The Economic and Labour Relations Review, , vol. 31(3), pages 324-346, September.
    10. Parteka, Aleksandra & Wolszczak-Derlacz, Joanna & Nikulin, Dagmara, 2024. "How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    11. Emil Mihaylov & Kea Tijdens, 2019. "Measuring the Routine and Non-Routine Task Content of 427 Four-Digit ISCO-08 Occupations," Tinbergen Institute Discussion Papers 19-035/IV, Tinbergen Institute.
    12. Mariacristina Piva & Marco Vivarelli, 2018. "Innovation, jobs, skills and tasks: a multifaceted relationship," DISCE - Quaderni del Dipartimento di Politica Economica dipe0001, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    13. Asian Bank, 2018. "Asian Development Outlook (ADO) 2018: How Technology Affects Jobs," Working Papers id:12717, eSocialSciences.
    14. Prettner, Klaus & Strulik, Holger, 2017. "The lost race against the machine: Automation, education and inequality in an R&D-based growth model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 08-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    15. Piotr Lewandowski & Pawel Chrostek & Jan Baran & Iga Magda & Maciej Lis & Anna Pankowiec & Piotr Szczerba & Maciej Bitner & Magdalena Kaminska, 2014. "Employment in Poland 2013. Labour in the Age of Structural Change," Books and Reports published by IBS, Instytut Badan Strukturalnych, number zwp2013 edited by Piotr Lewandowski & Iga Magda, january.
    16. Pouliakas, Konstantinos, 2018. "Determinants of Automation Risk in the EU Labour Market: A Skills-Needs Approach," IZA Discussion Papers 11829, Institute of Labor Economics (IZA).
    17. Julia Bock-Schappelwein & Michael Böheim & Elisabeth Christen & Stefan Ederer & Matthias Firgo & Klaus Friesenbichler & Werner Hölzl & Mathias Kirchner & Angela Köppl & Agnes Kügler & Christine Mayrhu, 2018. "Politischer Handlungsspielraum zur optimalen Nutzung der Vorteile der Digitalisierung für Wirtschaftswachstum, Beschäftigung und Wohlstand," WIFO Studies, WIFO, number 61256.
    18. Paolo Epifani & Gino Gancia, 2008. "The Skill Bias of World Trade," Economic Journal, Royal Economic Society, vol. 118(530), pages 927-960, July.
    19. Loebbing, Jonas, 2018. "An Elementary Theory of Endogenous Technical Change and Wage Inequality," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181603, Verein für Socialpolitik / German Economic Association.
    20. Peter Huber & Helmut Hofer, 2001. "Teilprojekt 9: Auswirkungen der EU-Erweiterung auf den österreichischen Arbeitsmarkt," WIFO Studies, WIFO, number 19839.

    More about this item

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    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:bas:econth:y:2022:i:3:p:269-300. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    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.