IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/340839.html

Unleashing productivity growth in the age of digitalisation: Evidence from German SMEs

Author

Listed:
  • Bertschek, Irene
  • Erdsiek, Daniel
  • Niebel, Thomas
  • Sack, Robin
  • Zimmermann, Volker

Abstract

Recent literature has increasingly focused on deciphering the modern productivity puzzle, with particular attention given to the link between digital technologies and firm-level productivity. So far, much of this research has primarily focused on large and publicly listed firms. Leveraging a panel dataset covering German small- and medium-sized enterprises (SMEs) over the period 2016 to 2021, we investigate whether digitalisation can help revive the sluggish productivity growth and narrow the gap between productivity frontrunners and laggards. We measure digitalisation through firms' digital capital stocks (DK) that we derive from a broad measure of digitalisation expenditures. Building on an augmented Cobb-Douglas production function, we examine the relationship between DK and labour productivity (LP ). Our findings show that higher DK is positively associated with higher LP levels, with the effect being even stronger for firms that are already more digitally advanced. Moreover, higher digitalisation expenditures appear to be related to narrowing the productivity gap between laggards and the frontier.

Suggested Citation

  • Bertschek, Irene & Erdsiek, Daniel & Niebel, Thomas & Sack, Robin & Zimmermann, Volker, 2026. "Unleashing productivity growth in the age of digitalisation: Evidence from German SMEs," ZEW Discussion Papers 26-016, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:340839
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/340839/1/1969824557.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eller, Robert & Alford, Philip & Kallmünzer, Andreas & Peters, Mike, 2020. "Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization," Journal of Business Research, Elsevier, vol. 112(C), pages 119-127.
    2. Avi Goldfarb & Catherine Tucker, 2019. "Digital Economics," Journal of Economic Literature, American Economic Association, vol. 57(1), pages 3-43, March.
    3. Bertschek Irene & Briglauer Wolfgang & Hüschelrath Kai & Kauf Benedikt & Niebel Thomas, 2015. "The Economic Impacts of Broadband Internet: A Survey," Review of Network Economics, De Gruyter, vol. 14(4), pages 201-227, December.
    4. Jörg Thomä & Volker Zimmermann, 2020. "Interactive learning — The key to innovation in non-R&D-intensive SMEs? A cluster analysis approach," Journal of Small Business Management, Taylor & Francis Journals, vol. 58(4), pages 747-776, July.
    5. Sabien Dobbelaere & Jacques Mairesse, 2013. "Panel data estimates of the production function and product and labor market imperfections," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 1-46, January.
    6. Duso, Tomaso & Nardotto, Mattia & Schiersch, Alexander, 2025. "Broadband and productivity: Structural estimates for Germany," Journal of Economic Behavior & Organization, Elsevier, vol. 237(C).
    7. Papaioannou, Sotiris K., 2023. "ICT and economic resilience: Evidence from the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 128(C).
    8. Timothy DeStefano & Richard Kneller & Jonathan Timmis, 2025. "Cloud Computing and Firm Growth," The Review of Economics and Statistics, MIT Press, vol. 107(6), pages 1638-1651, November.
    9. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    10. André Pahnke & Friederike Welter & David B. Audretsch, 2023. "In the eye of the beholder? Differentiating between SMEs and Mittelstand," Small Business Economics, Springer, vol. 60(2), pages 729-743, February.
    11. Duso, Tomaso & Schiersch, Alexander, 2025. "Let's switch to the cloud: Cloud usage and its effect on labor productivity," Information Economics and Policy, Elsevier, vol. 70(C).
    12. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    13. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    14. Michael Koch & Ilya Manuylov & Marcel Smolka, 2021. "Robots and Firms," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2553-2584.
    15. Mattsson, Pontus & Reshid, Abdulaziz, 2023. "Productivity divergence and the role of digitalisation," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 942-966.
    16. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    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. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2025. "Big data and firm-level productivity – A cross-country comparison," Information Economics and Policy, Elsevier, vol. 71(C).
    2. Pastor-Merino, Ana & Martínez-Barbero, Xavier & Vicente, María R. & Domenech, Josep, 2026. "Does AI boost firm productivity? A web scraping and LLMs approach," Telecommunications Policy, Elsevier, vol. 50(2).
    3. Flavio Calvino & Luca Fontanelli, 2026. "Decoding AI: an early look at how French firms use AI," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 16(1), pages 51-93, March.
    4. Roth, Felix & Rammer, Christian, 2025. "Intangible Assets and Productivity at the Firm Level: R&D versus non-R&D Intangibles," Hamburg Discussion Papers in International Economics 20, University of Hamburg, Department of Economics.
    5. gert Bijnens & Joep Konings & Aaron Putseys, 2025. "Unveiling the J-curve: How Intangibles Drive Productivity Mismeasurement," Working Papers of VIVES - Research Centre for Regional Economics 779815, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
    6. Cariolle, Joël, 2021. "International connectivity and the digital divide in Sub-Saharan Africa," Information Economics and Policy, Elsevier, vol. 55(C).
    7. Giuseppe Pulito & Mariola Pytlikova & Sarah Schroeder & Magnus Lodefalk, 2026. "Who Adopts AI? Evidence on Firms, Technologies and Workers," CERGE-EI Working Papers wp818, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    8. Standaert, Thomas & Andries, Petra, 2026. "Overcoming difficulties in knowledge transfer: Harnessing the power of AI to drive process innovation," Technovation, Elsevier, vol. 149(C).
    9. Alexander Bick & Adam Blandin & David J. Deming & Nicola Fuchs-Schündeln & Jonas Jessen, 2026. "Mind the Gap: AI Adoption in Europe and the U.S," NBER Working Papers 34995, National Bureau of Economic Research, Inc.
    10. Banal-Estanol, Albert & Seldeslachts, Jo & Vives, Xavier, 2022. "Ownership Diversification and Product Market Pricing Incentives," CEPR Discussion Papers 17686, Centre for Economic Policy Research.
    11. Wang, Zongrun & Zhang, Taiyu & Ren, Xiaohang & Shi, Yukun, 2024. "AI adoption rate and corporate green innovation efficiency: Evidence from Chinese energy companies," Energy Economics, Elsevier, vol. 132(C).
    12. Cirillo, Valeria & Mina, Andrea & Ricci, Andrea, 2024. "Digital technologies, labor market flows and training: Evidence from Italian employer-employee data," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    13. Antonio Minniti & Klaus Prettner & Francesco Venturini, 2024. "Unslicing the pie: AI innovation and the labor share in European regions," Department of Economics Working Papers wuwp369, Vienna University of Economics and Business, Department of Economics.
    14. Fontanelli, Luca & Guerini, Mattia & Miniaci, Raffaele & Secchi, Angelo, 2025. "Predictive AI and productivity growth dynamics: Evidence from French firms," Journal of Economic Behavior & Organization, Elsevier, vol. 240(C).
    15. Richard Fabling & Arthur Grimes, 2019. "Ultra-fast broadband, skill complementarities, gender and wages," Motu Working Papers 19_23, Motu Economic and Public Policy Research.
    16. Kroeger Thilo & Schaffranka Claudia & Schnitzer Monika, 2025. "Strukturwandel in den Regionen: Was sich ändert und wie die Politik reagieren sollte," Wirtschaftsdienst, Sciendo, vol. 105(8), pages 546-553.
    17. Torrent-Sellens, Joan, 2024. "Digital transition, data-and-tasks crowd-based economy, and the shared social progress: Unveiling a new political economy from a European perspective," Technology in Society, Elsevier, vol. 79(C).
    18. Fu, Yu & Chen, Yijun & Zhang, Yulin & Wang, Menghan & Yu, Yuanchun, 2026. "Corporate productivity transformation under the innovation paradigm: The role and impact of artificial intelligence," Technology in Society, Elsevier, vol. 84(C).
    19. Anwar Adem & Richard Kneller & Cher Li, 2023. "Information constraints and technology efficiency: Field experiments benchmarking firms website performance," Discussion Papers 2023-07, University of Nottingham, GEP.
    20. Hennessy, David A., 2025. "Information as a catalyst for industrialization," Journal of Economic Behavior & Organization, Elsevier, vol. 230(C).

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:zewdip:340839. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.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.