IDEAS home Printed from https://ideas.repec.org/a/aft/journl/v1812021janjunp115-142.html
   My bibliography  Save this article

Internal And External Obstacles To The Growth And Performance Of The Brazilian Industry - An Analysis Based On Ardl Cointegration Models From 2006 To 2018

Author

Listed:
  • Rafael Moraes de Sousa

    (Universidade Federal de Uberlândia (UFU))

  • Karina Palmieri de Almeida

    (Universidade Federal de Uberlândia (UFU))

Abstract

This paper performs an empirical analysis of some internal and external obstacles to the growth of the industry, as well as the determinants of performance (industrial exports), for the period from 2006 to 2018, highlighting a variable for the quality of exports. The methodology consists of Auto Regressive Models with Distributed Lags (ARDL) for cointegration. The results suggest that the variables identified as obstacles, in fact, have negative impacts on growth in the long term. For exports, the exchange rate and price developments were components with a negative impact, while the dynamics of world income is beneficial. Finally, the results for the variable quality of exports explain that production and export composition is not conducive to industrial growth.

Suggested Citation

  • Rafael Moraes de Sousa & Karina Palmieri de Almeida, 2021. "Internal And External Obstacles To The Growth And Performance Of The Brazilian Industry - An Analysis Based On Ardl Cointegration Models From 2006 To 2018," Revista de Economia Mackenzie (REM), Mackenzie Presbyterian University, Social and Applied Sciences Center, vol. 18(1), pages 115-142, January-J.
    • Handle: RePEc:aft:journl:v:18:1:2021:jan:jun:p:115-142
    DOI: 105935/1808-2785/rem.v18n1p.115-142
    as

    Download full text from publisher

    File URL: http://editorarevistas.mackenzie.br/index.php/rem/article/view/13598
    Download Restriction: no
    File URL: https://libkey.io/105935/1808-2785/rem.v18n1p.115-142?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Industry; performance; growth; models; ARDL.;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:aft:journl:v:18:1:2021:jan:jun:p:115-142. 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: Instituto Presbiteriano Mackenzie (IPM) (email available below). General contact details of provider: https://edirc.repec.org/data/fcmacbr.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.