IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-52493-6_20.html
   My bibliography  Save this book chapter

Non-Homothetic Multi-Sector Growth Models

In: The Elements and Dynamic Systems of Economic Growth and Trade Models

Author

Listed:
  • Bjarne S. Jensen

    (University of Southern Denmark (SDU))

Abstract

Multi-Sector Growth (MSG) models are dynamic versions of Computable General Equilibrium (CGE) models. Non-homothetic preference (utility) functions are required for the evolution of factor allocations and industrial structures in accordance with consumption expenditure patterns implied by the non-unitary income elasticities observed in all budget data since Engel (1857). But comparative static general equilibrium solutions and particularly solving the dynamics of MSG models require explicit specifications of all demand and cost (price) functions. On the demand side, the CDES (constant differences of elasticity of substitution) non-homothetic indirect utility functions and Roy’s identity provide the explicit Marshallian demand functions and budget shares. Sectorial CES cost functions and Shephard’s lemma provide the explicit relative commodity price functions and the sectorial cost shares and capital-labor ratios. Walrasian equilibria are given by one equation and the multi-sector dynamics by three differential equations. Benchmark solutions are given for three cost regimes of a ten-sector MSG model. History patterns of industrial/allocational evolutions are recognized.

Suggested Citation

  • Bjarne S. Jensen, 2025. "Non-Homothetic Multi-Sector Growth Models," Springer Books, in: The Elements and Dynamic Systems of Economic Growth and Trade Models, edition 0, chapter 0, pages 587-613, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-52493-6_20
    DOI: 10.1007/978-3-031-52493-6_20
    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.

    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:sprchp:978-3-031-52493-6_20. 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.