IDEAS home Printed from https://ideas.repec.org/a/kap/jtecht/v46y2021i5d10.1007_s10961-020-09819-0.html
   My bibliography  Save this article

Robotisation of the manufacturing industries in the EU: Convergence or divergence?

Author

Listed:
  • Andre Jungmittag

    (DG Joint Research Centre of the European Commission
    Frankfurt University of Applied Sciences)

Abstract

This paper investigates whether convergence or divergence of robot densities in the manufacturing industries of 24 EU countries occurred over the period from 1995 to 2015. An answer to this question permits immediate conclusions with regard to the success of convergence of labour productivities within the manufacturing industries of the EU, since it is expected that the use of robots will contribute to the growth of labour productivity. The empirical analysis is based on the robot data of the International Federation of Robotics and uses the convergence testing approach proposed by Rodrik (Q J Econ 128(1):165–204, 2013). Taking all results together, empirical evidence points to non-convergence of robot densities for a first period from 1995 to 2005, while there is relatively fast conditional as well as unconditional convergence for the second period from 2005 to 2015.

Suggested Citation

  • Andre Jungmittag, 2021. "Robotisation of the manufacturing industries in the EU: Convergence or divergence?," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1269-1290, October.
    • Handle: RePEc:kap:jtecht:v:46:y:2021:i:5:d:10.1007_s10961-020-09819-0
    DOI: 10.1007/s10961-020-09819-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10961-020-09819-0
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10961-020-09819-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    2. Leonardo Becchetti & Fabrizio Adriani, 2005. "Does the digital divide matter? The role of information and communication technology in cross-country level and growth estimates," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(6), pages 435-453.
    3. Joseph Zeira, 1998. "Workers, Machines, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1091-1117.
    4. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    5. Andre Jungmittag & Annarosa Pesole, 2019. "The impact of robots on labour productivity: A panel data approach covering 9 industries and 12 countries," JRC Working Papers on Labour, Education and Technology 2019-08, Joint Research Centre.
    6. Lene Kromann & Nikolaj Malchow-Møller & Jan Rose Skaksen & Anders Sørensen, 2020. "Automation and productivity—a cross-country, cross-industry comparison," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(2), pages 265-287.
    7. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    8. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    9. Michael Koch & Ilya Manuylov & Marcel Smolka, 2021. "Robots and Firms," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2553-2584.
    10. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
    11. Robert J. Barro, 2015. "Convergence and Modernisation," Economic Journal, Royal Economic Society, vol. 125(585), pages 911-942, June.
    12. Dani Rodrik, 2013. "Unconditional Convergence in Manufacturing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 165-204.
    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. Natália Barbosa & Ana Paula faria, 2022. "Digital adoption and productivity: understanding micro drivers of the aggregate effect," GEE Papers 0162, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jun 2022.
    2. Amaresh K Tiwari, 2023. "Automation In An Open, Catching-Up Economy: Aggregate And Microeconometric Evidence," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 144, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    3. Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
    4. Martin R. W. Hiebl & David I. Pielsticker, 2023. "Automation, organizational ambidexterity and the stability of employee relations: new tensions arising between corporate entrepreneurship, innovation management and stakeholder management," The Journal of Technology Transfer, Springer, vol. 48(6), pages 1978-2006, December.
    5. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2024. "The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach," Journal of Productivity Analysis, Springer, vol. 61(2), pages 157-181, April.
    6. Oscar Afonso & Tiago Sequeira & Derick Almeida, 2023. "Technological knowledge and wages: from skill premium to wage polarization," Journal of Economics, Springer, vol. 140(2), pages 93-119, October.

    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. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    2. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    3. Jakub Growiec, 2019. "The Hardware–Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," Working Paper series 19-18, Rimini Centre for Economic Analysis.
    4. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
    5. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2024. "The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach," Journal of Productivity Analysis, Springer, vol. 61(2), pages 157-181, April.
    6. Juan F. Jimeno, 2019. "Fewer babies and more robots: economic growth in a new era of demographic and technological changes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 93-114, June.
    7. 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.
    8. 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).
    9. Hémous, David & Dechezleprêtre, Antoine & Olsen, Morten & Zanella, carlo, 2019. "Automating Labor: Evidence from Firm-level Patent Data," CEPR Discussion Papers 14249, C.E.P.R. Discussion Papers.
    10. repec:hal:spmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
    11. A. Bergeaud & G. Cette & R. Lecat, 2016. "The role of production factor quality and technology diffusion in 20th century productivity growth," Working papers 588, Banque de France.
    12. Antón, José-Ignacio & Fernández-Macías, Enrique & Winter-Ebmer, Rudolf, 2020. "Does Robotization Affect Job Quality? Evidence from European Regional Labour Markets," IZA Discussion Papers 13975, Institute of Labor Economics (IZA).
    13. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
    14. Sakari Lähdemäki, 2017. "Traditional convergence tests with Penn World Table 9.0," Working Papers 309, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    15. Cui, Huijie & Liang, Shangkun & Xu, Canyu & Junli, Yu, 2024. "Robots and analyst forecast precision: Evidence from Chinese manufacturing," International Review of Financial Analysis, Elsevier, vol. 94(C).
    16. Zoltan Csefalvay & Petros Gkotsis, 2020. "Global race for robotisation - Looking at the entire robotisation chain," JRC Research Reports JRC121184, Joint Research Centre.
    17. Philippe Aghion & Céline Antonin & Simon Bunel, 2019. "Artificial Intelligence, Growth and Employment: The Role of Policy," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 149-164.
    18. repec:spo:wpmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
    19. repec:spo:wpmain:info:hdl:2441/3n1gbsj6rs80ipqv9d42nfd0ge is not listed on IDEAS
    20. Daria A. Starovatova, 2023. "The relationship between robots and labour productivity: Does business scale matter?," Journal of New Economy, Ural State University of Economics, vol. 24(1), pages 81-103, April.
    21. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
    22. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    23. Sarah J. Carrington & Pablo Jiménez‐Ayora, 2021. "Shedding light on the convergence debate: Using luminosity data to investigate economic convergence in Ecuador," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 200-227, February.

    More about this item

    Keywords

    Convergence; Labour productivity; Robots; European Union;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:kap:jtecht:v:46:y:2021:i:5:d:10.1007_s10961-020-09819-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.