IDEAS home Printed from https://ideas.repec.org/p/mnd/wpaper/1708.html
   My bibliography  Save this paper

Does renewable energy consumption drive economic growth: Evidence from granger-causality techniques

Author

Listed:
  • Hlalefang Khobai

    () (Department of Economics, Nelson Mandela University)

  • Pierre Le Roux

    () (Department of Economics, Nelson Mandela University)

Abstract

This study investigates the causal relationship between renewable energy consumption and economic growth in South Africa. It incorporates carbon dioxide emissions, capital formation and trade openness as additional variables to form a multivariate framework. Quarterly data is used for the period 1990 – 2014 and is tested for stationarity using the Augmented Dickey Fuller (ADF), Dickey Fuller Generalised Least Squares (DF-GLS) and Phillips and Perron (PP) unit root tests. The study employs the Autoregressive distributed lag (ARDL) model to examine the long run relationship among the variables. Lastly, the study determines the direction of causality between the variables using the Vector Error Correction Model (VECM). The results validated an existence of a long run relationship between the variables. Moreover, a unidirectional causality flowing from renewable energy consumption to economic growth was established in the long run. The short run results suggested a unidirectional causality flowing from economic growth to renewable energy consumption. The findings of the study suggest that an appropriate and effective public policy is required in the long run, while considering sustainable economic growth and development.

Suggested Citation

  • Hlalefang Khobai & Pierre Le Roux, 2017. "Does renewable energy consumption drive economic growth: Evidence from granger-causality techniques," Working Papers 1708, Department of Economics, Nelson Mandela University, revised Aug 2017.
  • Handle: RePEc:mnd:wpaper:1708
    as

    Download full text from publisher

    File URL: http://repec.mandela.ac.za/RePEc/mnd/wpaper/paper.1708.pdf
    File Function: First version, 2017
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Wolde-Rufael, Yemane, 2009. "Energy consumption and economic growth: The experience of African countries revisited," Energy Economics, Elsevier, vol. 31(2), pages 217-224.
    2. Ohler, Adrienne & Fetters, Ian, 2014. "The causal relationship between renewable electricity generation and GDP growth: A study of energy sources," Energy Economics, Elsevier, vol. 43(C), pages 125-139.
    3. Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "Energy consumption, pollutant emissions and economic growth in South Africa," Energy Economics, Elsevier, vol. 32(6), pages 1374-1382, November.
    4. Sebri, Maamar & Ben-Salha, Ousama, 2014. "On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 14-23.
    5. Apergis, Nicholas & Payne, James E., 2011. "The renewable energy consumption-growth nexus in Central America," Applied Energy, Elsevier, vol. 88(1), pages 343-347, January.
    6. Nicholas Apergis & Dan Constantin Danuletiu, 2014. "Renewable Energy and Economic Growth: Evidence from the Sign of Panel Long-Run Causality," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 578-587.
    7. repec:eco:journ2:2017-06-6 is not listed on IDEAS
    8. Omri, Anis & Ben Mabrouk, Nejah & Sassi-Tmar, Amel, 2015. "Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1012-1022.
    9. Al-Mulali, Usama & Saboori, Behnaz & Ozturk, Ilhan, 2015. "Investigating the environmental Kuznets curve hypothesis in Vietnam," Energy Policy, Elsevier, vol. 76(C), pages 123-131.
    10. Halkos, George E. & Tzeremes, Nickolaos G., 2014. "The effect of electricity consumption from renewable sources on countries׳ economic growth levels: Evidence from advanced, emerging and developing economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 166-173.
    11. Apergis, Nicholas & Payne, James E., 2012. "Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 34(3), pages 733-738.
    12. repec:eco:journ2:2017-03-13 is not listed on IDEAS
    13. Odhiambo, Nicholas M., 2010. "Energy consumption, prices and economic growth in three SSA countries: A comparative study," Energy Policy, Elsevier, vol. 38(5), pages 2463-2469, May.
    14. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. repec:eco:journ2:2018-04-37 is not listed on IDEAS
    2. repec:eee:renene:v:138:y:2019:i:c:p:620-627 is not listed on IDEAS
    3. repec:eco:journ2:2019-01-23 is not listed on IDEAS
    4. repec:gam:jeners:v:11:y:2018:i:10:p:2668-:d:174083 is not listed on IDEAS
    5. repec:eur:ejmejr:68 is not listed on IDEAS
    6. Nyoni, Bothwell & Phiri, Andrew, 2018. "Renewable energy-economic growth nexus in South Africa: Linear, nonlinear or non-existent?," MPRA Paper 89761, University Library of Munich, Germany.

    More about this item

    Keywords

    Renewable energy consumption; Economic growth; Causality; South Africa.;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:mnd:wpaper:1708. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Andrew Phiri). General contact details of provider: http://edirc.repec.org/data/denmmza.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.