IDEAS home Printed from https://ideas.repec.org/a/cup/macdyn/v25y2021i5p1303-1330_9.html

Variety, Competition, And Population In Economic Growth: Theory And Empirics

Author

Listed:
  • Bucci, Alberto
  • Carbonari, Lorenzo
  • Trovato, Giovanni

Abstract

We provide aggregate macroeconomic evidence on how, in the long run, a diverse degree of complexity in production may affect not only the rate of economic growth, but also the correlation between the latter, population growth and the monopolistic (intermediate) markups. For a sample of Organisation for Economic Co-operation and Development (OECD) countries, we find that the impact of population change on economic growth is slightly positive. According to our theoretical model, this implies that the losses due to more complexity in production are lower than the corresponding specialization gains. Using a finite mixture model, we also classify the countries in the sample and verify for each cluster the impact that the population growth rate and the intermediate sector’s markups exert on the 5-year average real gross domestic product (GDP) growth rate.

Suggested Citation

  • Bucci, Alberto & Carbonari, Lorenzo & Trovato, Giovanni, 2021. "Variety, Competition, And Population In Economic Growth: Theory And Empirics," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1303-1330, July.
  • Handle: RePEc:cup:macdyn:v:25:y:2021:i:5:p:1303-1330_9
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1365100519000919/type/journal_article
    File Function: link to article abstract page
    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. Noda, Hideo & Fang, Fengqi, 2025. "Pro-Patent Policy in the Knowledge-Based Economy," MPRA Paper 125646, University Library of Munich, Germany.
    2. repec:rim:rimwps:24-05 is not listed on IDEAS
    3. Sagheer, Muneeb & Ashraf, Alia, 2024. "Insights on China's economic and environmental dynamics for integrating growth and sustainability," Innovation and Green Development, Elsevier, vol. 3(4).
    4. Sequeira, Tiago Neves & Gil, Pedro Mazeda & Afonso, Oscar, 2018. "Endogenous growth and entropy," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 100-120.
    5. Alberto Bucci, 2022. "P. Aghion, C. Antonin, S. Bunel, The power of creative destruction: Economic upheaval and the wealth of nations," Journal of Economics, Springer, vol. 135(3), pages 299-306, April.
    6. Bucci, Alberto & Carbonari, Lorenzo & Trivin, Pedro & Trovato, Giovanni, 2025. "Human capital-based growth with depopulation and class-size effects: theory and empirics," Macroeconomic Dynamics, Cambridge University Press, vol. 29, pages 1-1, January.
    7. Antonelli, Cristiano & Crespi, Francesco & Quatraro, Francesco, 2022. "Knowledge complexity and the mechanisms of knowledge generation and exploitation: The European evidence," Research Policy, Elsevier, vol. 51(8).
    8. repec:rim:rimwps:22-06 is not listed on IDEAS
    9. Bucci, Alberto & Carbonari, Lorenzo & Gil, Pedro Mazeda & Trovato, Giovanni, 2021. "Economic growth and innovation complexity: An empirical estimation of a Hidden Markov Model," Economic Modelling, Elsevier, vol. 98(C), pages 86-99.
    10. Sakiru, Solarin Adebola & Gil-Alana, Luis A. & Gonzalez-Blanch, Maria Jesus, 2022. "Persistence of economic complexity in OECD countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).

    More about this item

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • J1 - Labor and Demographic Economics - - Demographic Economics

    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:cup:macdyn:v:25:y:2021:i:5:p:1303-1330_9. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/mdy .

    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.