IDEAS home Printed from https://ideas.repec.org/a/igg/jssmet/v8y2017i2p79-90.html
   My bibliography  Save this article

Empirical Analysis of the Relationship Between Energy Consumption, CO2 Emissions and Economic Growth in Tunisia

Author

Listed:
  • Sana Essaber Jouini

    (Laboratoire d'Economie et de Gestion Industrielle (LEGI), Tunisia Polytechnic School, University of Carthage, Tunis, Tunisia & ISCAE, University of Manouba, Tunis, Tunisia)

  • Etidel Labidi

    (Laboratoire d'Economie et de Gestion Industrielle (LEGI), Tunisia Polytechnic School, University of Carthage, Tunis, Tunisia & ESCT, University of Manouba, Tunis, Tunisia)

Abstract

This paper examines the long run and causal relationship issues between economic growth, energy consumption and carbon emissions by using vector error correction model for the case of Tunisia within 1970-2010. Empirical results using time series data suggest an evidence of a long-run relationship between the variables at 5% significance level in Tunisia. A Granger causality analysis is conducted amongst the variables. The overall results indicate bidirectional causality between energy consumption and CO2 emissions and a unidirectional causality running from pollutant emissions to economic growth. But there is no direct relation between energy consumption and economic growth. Thus, our results reveal that in short term energy conservation policies, such as rationing energy consumption have no effect on the real output growth of Tunisia.

Suggested Citation

  • Sana Essaber Jouini & Etidel Labidi, 2017. "Empirical Analysis of the Relationship Between Energy Consumption, CO2 Emissions and Economic Growth in Tunisia," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 8(2), pages 79-90, April.
  • Handle: RePEc:igg:jssmet:v:8:y:2017:i:2:p:79-90
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSSMET.2017040107
    Download Restriction: no
    ---><---

    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:igg:jssmet:v:8:y:2017:i:2:p:79-90. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.