IDEAS home Printed from https://ideas.repec.org/a/ids/ajesde/v7y2020i4p307-330.html
   My bibliography  Save this article

The impact of energy intensity, urbanisation, industrialisation, and income on CO 2 emissions in South Africa: an ARDL bounds testing approach

Author

Listed:
  • Chali Nondo
  • Mulugeta S. Kahsai

Abstract

We examine the dynamic short and long-run relationship between urbanisation, industrialisation, energy intensity, per capita GDP, and CO2 emissions in South Africa from 1970 to 2016. The Autoregressive Distributed Bounds Testing Approach (ARDL) is employed to calculate short-run and long-run relationships in the presence of structural breaks and the vector error correction model is applied to determine the direction of causality. The bounds tests suggest that the five variables are bound together in the long run when CO2 emission is the dependent variable and that urbanisation has the largest impact on CO2 emissions. Granger causality tests show a strong bidirectional causality among all the variables, with the exception of GDP and energy intensity where there is a strong unidirectional relationship running from energy intensity to GDP per capita. Our findings suggest that policymakers must develop comprehensive policies for mitigating CO2 emissions, particularly those that focus on managing rapid urbanisation.

Suggested Citation

  • Chali Nondo & Mulugeta S. Kahsai, 2020. "The impact of energy intensity, urbanisation, industrialisation, and income on CO 2 emissions in South Africa: an ARDL bounds testing approach," African Journal of Economic and Sustainable Development, Inderscience Enterprises Ltd, vol. 7(4), pages 307-330.
  • Handle: RePEc:ids:ajesde:v:7:y:2020:i:4:p:307-330
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=106826
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Keren & Qammar, Rabia & Quddus, Abdul & Lyu, Ning & Alnafrah, Ibrahim, 2024. "Interlinking dynamics of natural resources, financial development, industrialization, and energy intensity: Implications for natural resources policy in emerging seven countries," Resources Policy, Elsevier, vol. 90(C).
    2. Etienne Inedit Blaise Tsomb Tsomb & Lyvane Pervange Nembot Nguitchou, 2024. "The vulnerability to climate change in Africa: Does industrial development matter?," African Development Review, African Development Bank, vol. 36(2), pages 222-238, June.

    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:ids:ajesde:v:7:y:2020:i:4:p:307-330. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=382 .

    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.