IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-03509092.html

International trade and technological competition in markets with dynamic increasing returns

Author

Listed:
  • Luca Fontanelli

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa])

  • Mattia Guerini

    (UniBs - Università degli Studi di Brescia = University of Brescia, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa])

  • Mauro Napoletano

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po, SKEMA Business School, SSSUP - Scuola Universitaria Superiore Sant'Anna = Sant'Anna School of Advanced Studies [Pisa])

Abstract

We build a simple dynamic model to study the effects of technological learning, market selection and international competition in the determination of export flows and market shares. The model features two countries populated by firms with heterogeneous productivity levels and sales. Market selection in each country is driven by a finite pairwise Pólya urn process. We show that market selection leads either to a national or to an international monopoly in presence of a static distribution of firm productivity levels. We then incorporate firm learning and entry-exit in the model and we show that the market structure does not converge to a monopoly. In addition, we show that the extended model is able to jointly reproduce a wide ensemble of stylized facts concerning intra-industry trade, industry and firm dynamics.

Suggested Citation

  • Luca Fontanelli & Mattia Guerini & Mauro Napoletano, 2022. "International trade and technological competition in markets with dynamic increasing returns," Working Papers halshs-03509092, HAL.
  • Handle: RePEc:hal:wpaper:halshs-03509092
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03509092v1
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-03509092v1/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Fontanelli, Luca & Guerini, Mattia & Miniaci, Raffaele & Secchi, Angelo, "undated". "Predictive AI and productivity growth dynamics: evidence from French firms," FEEM Working Papers 355806, Fondazione Eni Enrico Mattei (FEEM).
    3. Pan, Zhaoshuai & Guo, Jiaxing, 2025. "External uncertainty and raw material price in energy transition: Implications for green development," Renewable Energy, Elsevier, vol. 241(C).
    4. Luca Fontanelli & Mauro Napoletano & Angelo Secchi, 2025. "Rethinking volatility scaling in firm growth," Sciences Po Economics Publications (main) hal-05261824, HAL.
    5. Luca Fontanelli, 2023. "Theories of market selection: a survey," LEM Papers Series 2023/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Thomas Gottfried & Stefan Grosskinsky, 2025. "Wages and capital returns in a generalized Pólya urn," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 20(2), pages 477-518, April.
    7. Joseph Hickey, 2023. "Simple model of market share dynamics based on clients' firm-switching decisions," Papers 2304.08727, arXiv.org, revised Nov 2023.
    8. Hickey, Joseph, 2024. "Simple model of market share dynamics based on clients’ firm-switching decisions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    9. Ciambezi, Leonardo & Guerini, Mattia & Napoletano, Mauro & Roventini, Andrea, 2025. "Accounting for the multiple sources of inflation: An agent-based model investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 178(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • F1 - International Economics - - Trade
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

    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:hal:wpaper:halshs-03509092. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.