IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-031-09600-6_4.html
   My bibliography  Save this book chapter

More on Growth Dynamics: Endogenous Growth and Beyond

In: Intertemporal and Strategic Modelling in Economics

Author

Listed:
  • Orlando Gomes

    (Lisbon Polytechnic Institute (ISCAL—IPL) and CEFAGE research center (Évora University—ISCAL))

Abstract

Whether assuming exogenous savings or optimal intertemporal plans, the neoclassical growth model attributes to exogenous factors the process of growth. In this interpretation, the factors that eventually boost growth (e.g., innovation or education) are maintained inside a black box. Endogenous growth models are a class of growth models that explores the main determinants of sustained growth within the modeling framework. This chapter explores models of endogenous growth, with human capital and technology being the fundamental sources of sustained growth. The chapter also discusses a few other models that shed light on such relevant topics as the implications of automation to growth and the impact of agent heterogeneity regarding the accumulation of wealth and intertemporal consumption choices.

Suggested Citation

  • Orlando Gomes, 2022. "More on Growth Dynamics: Endogenous Growth and Beyond," Lecture Notes in Economics and Mathematical Systems, in: Intertemporal and Strategic Modelling in Economics, chapter 0, pages 83-108, Springer.
    • Handle: RePEc:spr:lnechp:978-3-031-09600-6_4
    DOI: 10.1007/978-3-031-09600-6_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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:spr:lnechp:978-3-031-09600-6_4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.