IDEAS home Printed from https://ideas.repec.org/p/nmp/nuland/4327.html

Firm size and innovative performance: a meta-analysis across of 25 years of evidence

Author

Listed:
  • Bachmann, Federico
  • Kataishi, Rodrigo

Abstract

This study conducts a comprehensive meta-regression analysis to examine the relationship between firm size and innovative performance, utilizing 95 empirical studies published between 1993 and 2017. By incorporating 655 econometric estimations from these studies, we aim to identify key factors contributing to the heterogeneity observed in the empirical literature. Our findings confirm a positive average effect of firm size on innovative performance, reinforcing the theoretical expectation that larger firms tend to be more innovative due to economies of scale and greater resource availability. However, this relationship is moderated by various contextual and methodological factors that affect results, such as the measures used for firm size and innovation, the type of innovation considered (product or process), and the geographic context (developed or developing countries). This study contributes to the literature by presenting one of the most comprehensive meta-analyses on this topic to date, introducing new moderator variables, and offering deeper insights into the sources of heterogeneity. The results not only reinforce the most common hypotheses on the size-innovation relationship but also provide a nuanced understanding of the variations in empirical results. By highlighting the importance of measurement choices and firm characteristics in understanding the firm size-innovation nexus, this study offers valuable guidance for future research, enabling a more refined approach to investigating this complex relationship.

Suggested Citation

  • Bachmann, Federico & Kataishi, Rodrigo, 2025. "Firm size and innovative performance: a meta-analysis across of 25 years of evidence," Nülan. Deposited Documents 4327, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
  • Handle: RePEc:nmp:nuland:4327
    as

    Download full text from publisher

    File URL: https://nulan.mdp.edu.ar/id/eprint/4327/1/bachmann-kataishi-2025.pdf
    File Function: published
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Young, Allyn A., 1928. "Increasing Returns and Economic Progress," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 38, pages 527-542.
    2. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    3. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    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 A. Mathews, 2020. "Schumpeterian economic dynamics of greening: propagation of green eco-platforms," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 929-948, September.
    2. Catherine Baumont, 1995. "Urban economics and endogenous dynamics in regional growth [Economies d'agglomération et dynamique endogène de croissance des régions]," Working Papers hal-01527237, HAL.
    3. Wilson, E.J. & Chaudhri, D.P., 2000. "Endogeneity, Knowledge and Dynamics of Long Run Capitalist Economic Growth," Economics Working Papers wp00-03, School of Economics, University of Wollongong, NSW, Australia.
    4. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    5. Francesca Pilotto & Ingolf Kühn & Rita Adrian & Renate Alber & Audrey Alignier & Christopher Andrews & Jaana Bäck & Luc Barbaro & Deborah Beaumont & Natalie Beenaerts & Sue Benham & David S. Boukal & , 2020. "Meta-analysis of multidecadal biodiversity trends in Europe," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    6. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
    7. Andrés Rodríguez-Pose & Michael Storper, 2006. "Better Rules or Stronger Communities? On the Social Foundations of Institutional Change and Its Economic Effects," Economic Geography, Taylor & Francis Journals, vol. 82(1), pages 1-25, January.
    8. Bert Minne & Marc van der Steeg & Dinand Webbink, 2008. "Skill gaps in the EU: role for education and training policies," CPB Document 162, CPB Netherlands Bureau for Economic Policy Analysis.
    9. Bretschger, Lucas, 2021. "Getting the Costs of Environmental Protection Right: Why Climate Policy Is Inexpensive in the End," Ecological Economics, Elsevier, vol. 188(C).
    10. Cristiano Antonelli & Christophe Feder, 2022. "Knowledge properties and the creative response in the global economy: European evidence for the years 1990–2016," The Journal of Technology Transfer, Springer, vol. 47(2), pages 459-475, April.
    11. Mario Herberz & Tobias Brosch & Ulf J. J. Hahnel, 2020. "Kilo what? Default units increase value sensitivity in joint evaluations of energy efficiency," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(6), pages 972-988, November.
    12. Yang, X. & Liu, P.W., 1999. "Division of Labor Transaction Cost, Emergence of the Firm and Firm Size," Papers 10, Chicago - Graduate School of Business.
    13. repec:osf:metaar:tp45u_v1 is not listed on IDEAS
    14. John Finch, 2000. "Is post-Marshallian economics an evolutionary research tradition?," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 7(3), pages 377-406.
    15. Piers Steel & Sjoerd Beugelsdijk & Herman Aguinis, 2021. "The anatomy of an award-winning meta-analysis: Recommendations for authors, reviewers, and readers of meta-analytic reviews," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(1), pages 23-44, February.
    16. Neves, Pedro Cunha & Afonso, Oscar & Silva, Diana & Sochirca, Elena, 2021. "The link between intellectual property rights, innovation, and growth: A meta-analysis," Economic Modelling, Elsevier, vol. 97(C), pages 196-209.
    17. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    18. repec:wly:econjl:v::y:2017:i:605:p:f236-f265 is not listed on IDEAS
    19. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    20. Andre Lorentz & Tommaso Ciarli & Maria Savona & Marco Valente, 2019. "Structural Transformations and Cumulative Causation: Towards an Evolutionary Micro-foundation of the Kaldorian Growth Model," Working Papers of BETA 2019-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    21. Stephan Kambach & Ingolf Kühn & Bastien Castagneyrol & Helge Bruelheide, 2016. "The Impact of Tree Diversity on Different Aspects of Insect Herbivory along a Global Temperature Gradient - A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    22. Nan Wang & Yuxiang Luan & Rui Ma, 2024. "Detecting causal relationships between work motivation and job performance: a meta-analytic review of cross-lagged studies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:nmp:nuland:4327. 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: Cristian Merlino S. (email available below). General contact details of provider: https://edirc.repec.org/data/femdpar.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.