IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v242y2022i5-6p669-689n3.html
   My bibliography  Save this article

Tracking the Rise of Robots: The IFR Database

Author

Listed:
  • Jurkat Anne

    (Goethe University Frankfurt, Frankfurt am Main, Germany)

  • Klump Rainer

    (Goethe University Frankfurt, Frankfurt am Main, Germany)

  • Schneider Florian

    (Goethe University Frankfurt and VDMA, Frankfurt am Main, Germany)

Abstract

We present and analyze the dataset on the international distribution of industrial robots by country, industry, and application provided by the International Federation of Robotics (IFR) since 1993. After describing the IFR we point out specificities and limitations of its dataset. We explain the process of data collection, develop a correspondence table between the IFR industry classification and the ISIC rev. 4 industry classification, and clarify the applied compliance rules. We further compute average implicit depreciation rates inherent to the robot stocks in the IFR dataset in the range of 4–7% per year between 1993 and 2019. We also find that the share of industrial robots that are not classified to any industry or application has sharply declined since 2005.

Suggested Citation

  • Jurkat Anne & Klump Rainer & Schneider Florian, 2022. "Tracking the Rise of Robots: The IFR Database," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(5-6), pages 669-689, December.
  • Handle: RePEc:jns:jbstat:v:242:y:2022:i:5-6:p:669-689:n:3
    DOI: 10.1515/jbnst-2021-0059
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2021-0059
    Download Restriction: no

    File URL: https://libkey.io/10.1515/jbnst-2021-0059?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
    ---><---

    Citations

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


    Cited by:

    1. Nikolova, Milena & Cnossen, Femke & Nikolaev, Boris, 2024. "Robots, meaning, and self-determination," Research Policy, Elsevier, vol. 53(5).
    2. Prettner, Klaus, 2023. "Stagnant wages in the face of rising labor productivity: The potential role of industrial robots," Finance Research Letters, Elsevier, vol. 58(PD).
    3. Kunkel, S. & Neuhäusler, P. & Matthess, M. & Dachrodt, M.F., 2023. "Industry 4.0 and energy in manufacturing sectors in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).

    More about this item

    Keywords

    robots; automation; industry classification; depreciation rates;
    All these keywords.

    JEL classification:

    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

    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:jns:jbstat:v:242:y:2022:i:5-6:p:669-689:n:3. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.