IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201483.html
   My bibliography  Save this paper

The Causal Relationship between Energy Consumption and Economic Growth in South Africa: New Evidence from Asymmetric Causality in Frequency Domain

Author

Listed:
  • Omid Ranjbar

    (Ministry of Industry, Mine and Trade, Tehran, Iran)

  • Tsangyao Chang

    (Department of Finance, Feng Chia University, Taichung, Taiwan)

  • Elmarie Nel

    (Department of Economics, University of Pretoria)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

Abstract

In this paper, we analyze symmetric and asymmetric causal relationship between energy consumption and economic growth in time and frequency domains, using annual data covering the period of 1965-2012. In general, our results tend to suggest that energy consumption causes growth, especially the negative component of energy consumption. However, when accounting for structural breaks, results are mixed, with some evidence of growth leading energy consumption as well. Overall however, using asymmetric causality in both time and frequency domains, we tend to show that a reduction in energy consumption is likely to reduce growth, however, there is no guarantee that increases in energy consumption will boost economic growth.

Suggested Citation

  • Omid Ranjbar & Tsangyao Chang & Elmarie Nel & Rangan Gupta, 2014. "The Causal Relationship between Energy Consumption and Economic Growth in South Africa: New Evidence from Asymmetric Causality in Frequency Domain," Working Papers 201483, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201483
    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

    Keywords

    Energy consumption; Growth; Granger Causality; Symmetry and Asymmetry; Time and Frequency Domains; South Africa;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    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:pre:wpaper:201483. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.