IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_10694.html
   My bibliography  Save this paper

Mind the Knowledge Gap! The Origins of Declining Business Dynamism in a Macro Agent-Based Model

Author

Listed:
  • Domenico Delli Gatti
  • Roberta Terranova
  • Enrico Maria Turco

Abstract

In this paper we replicate most of the stylized facts characterizing the decline in business dynamism in the USA highlighted by Akcigit and Ates (2021) and provide an explanation of their emergence by means of a macroeconomic agent-based model populated by two types of firms: innovators who generate new and more productive capital goods, and entrepreneurs who employ labor and capital goods to produce consumption goods. A key ingredient of the model is the assumption that the entrepreneurs’ access to new and better capital goods depends on the knowledge gap, i.e., the wedge between the firm’s technical knowledge and the state of technology embodied in new capital goods. Within this framework, we investigate the obstacles to knowledge diffusion subsequently leading to declining business dynamism. Our findings indicate that only when knowledge diffusion decreases in both the technology imitation and adoption processes does it lead to high market concentration and markups, falling labor share and productivity growth. Patents are an important obstacle to knowledge diffusion. We find an inverse U-shaped relationship between patent strength and growth: moderate levels of patent protection can stimulate growth, but strong protection leads to rising market power and slower growth.

Suggested Citation

  • Domenico Delli Gatti & Roberta Terranova & Enrico Maria Turco, 2023. "Mind the Knowledge Gap! The Origins of Declining Business Dynamism in a Macro Agent-Based Model," CESifo Working Paper Series 10694, CESifo.
  • Handle: RePEc:ces:ceswps:_10694
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp10694.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fabiani, S. & Druant, M. & Hernando, I. & Kwapil, C. & Landau, B. & Loupias, C. & Martins, F. & Mathä, T. & Sabbatini, R. & Stahl, H. & Stockman, A., 2005. "The Pricing Behaviour of Firms in the Euro Area: New Survey Evidence," Working papers 135, Banque de France.
    2. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    3. Nathalie Greenan & Jacques Mairesse & Agnès Topiol-Bensaid, 2001. "Information Technology and Research and Developement Impacts on Productivity and Skills: Looking for Correlations on French Firm-Level Data," Working Papers hal-02104933, HAL.
    4. Gustavo Grullon & Yelena Larkin & Roni Michaely, 2019. "Are US Industries Becoming More Concentrated?," Review of Finance, European Finance Association, vol. 23(4), pages 697-743.
    5. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    6. Silvia Fabiani & Martine Druant & Ignacio Hernando & Claudia Kwapil & Bettina Landau & Claire Loupias & Fernando Martins & Thomas Mathä & Roberto Sabbatini & Harald Stahl & Ad Stokman, 2006. "What Firms' Surveys Tell Us about Price-Setting Behavior in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 2(3), September.
    7. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    8. Herbert Dawid & Philipp Harting & Sander Hoog & Michael Neugart, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 467-538, March.
    9. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    10. Dawid, Herbert, 2006. "Agent-based Models of Innovation and Technological Change," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 25, pages 1235-1272, Elsevier.
    11. Dawid, H. & Harting, P. & Neugart, M., 2018. "Cohesion policy and inequality dynamics: Insights from a heterogeneous agents macroeconomic model," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 220-255.
    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. Valentina Colombo & Alessia Paccagnini, 2024. "Uncertainty and the Federal Reserve’s Balance Sheet Monetary Policy," DISCE - Working Papers del Dipartimento di Economia e Finanza def131, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

    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. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    2. Herbert Dawid & Michael Neugart, 2023. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 35-63, January.
    3. Hötte, Kerstin, 2020. "How to accelerate green technology diffusion? Directed technological change in the presence of coevolving absorptive capacity," Energy Economics, Elsevier, vol. 85(C).
    4. Kerstin Hötte, 2021. "Skill transferability and the stability of transition pathways- A learning-based explanation for patterns of diffusion," Journal of Evolutionary Economics, Springer, vol. 31(3), pages 959-993, July.
    5. Marco Hoeberichts & Ad Stokman, 2010. "Price setting behaviour in the Netherlands: results of a survey," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(2-3), pages 135-149.
    6. Sarah Arndt & Zeno Enders, 2023. "The Transmission of Supply Shocks in Different Inflation Regimes," CESifo Working Paper Series 10839, CESifo.
    7. Patrick Mellacher, 2021. "Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model," Papers 2111.09407, arXiv.org, revised Nov 2023.
    8. Forni, L. & Gerali, A. & Pisani, M., 2010. "Macroeconomic Effects Of Greater Competition In The Service Sector: The Case Of Italy," Macroeconomic Dynamics, Cambridge University Press, vol. 14(5), pages 677-708, November.
    9. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    10. Bampinas, Georgios & Panagiotidis, Theodore, 2016. "Hedging inflation with individual US stocks: A long-run portfolio analysis," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 374-392.
    11. Martha Misas A. & Enrique López E. & Juan Carlos Parra A., 2013. "La formación de precios en las empresas colombianas: evidencia a partir de una encuesta directa," Investigación Conjunta-Joint Research, in: Laura Inés D'Amato & Enrique López Enciso & María Teresa Ramírez Giraldo (ed.), Dinámica inflacionaria, persistencia y formación de precios y salarios, edition 1, chapter 11, pages 273-348, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    12. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2013. "Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(3), pages 300-328, April.
    13. Daniel Levy & Andrew T. Young, 2021. "Promise, trust, and betrayal: Costs of breaching an implicit contract," Southern Economic Journal, John Wiley & Sons, vol. 87(3), pages 1031-1051, January.
    14. van der Cruijsen, Carin A.B. & Eijffinger, Sylvester C.W. & Hoogduin, Lex H., 2010. "Optimal central bank transparency," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1482-1507, December.
    15. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2021. "Public policies and the art of catching up: matching the historical evidence with a multicountry agent-based model [Catching up, forging ahead, and falling behind]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 1011-1036.
    16. Emmanuel Dhyne & Luis J. Alvarez & Herve Le Bihan & Giovanni Veronese & Daniel Dias & Johannes Hoffmann & Nicole Jonker & Patrick Lunnemann & Fabio Rumler & Jouko Vilmunen, 2006. "Price Changes in the Euro Area and the United States: Some Facts from Individual Consumer Price Data," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 171-192, Spring.
    17. Jang, Tae-Seok & Sacht, Stephen, 2021. "Forecast heuristics, consumer expectations, and New-Keynesian macroeconomics: A Horse race," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 493-511.
    18. Yoann Barbesol & Thomas Heckel & Simon Quantin, 2008. "Élasticité de la production au capital informatique : estimations à l’aide de données d’entreprises," Économie et Statistique, Programme National Persée, vol. 419(1), pages 55-71.
    19. Gullstrand, Joakim & Olofsdotter, Karin & Thede, Susanna, 2011. "Markups and export pricing," Working Papers 2011:37, Lund University, Department of Economics.
    20. Loupias, C. & Ricart, R., 2004. "Price Setting in France: new Evidence from Survey Data," Working papers 120, Banque de France.

    More about this item

    Keywords

    innovation; imitation; knowledge diffusion; knowledge gap; patents;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

    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:ces:ceswps:_10694. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.