IDEAS home Printed from https://ideas.repec.org/a/cii/cepiie/2012-q1-129-4.html
   My bibliography  Save this article

Energy consumption and economic growth in sub-Saharan Africa: An asymmetric cointegration analysis

Author

Listed:
  • Olayeni Olaolu Richard

Abstract

This paper investigates the asymmetric effect in the energy-growth nexus. Using the data for real GDP per capita and energy consumption per capita over the period 1971-2008, we examine the relationship for 12 sub-Saharan African countries employing hidden cointegration approach. For Gabon, Nigeria and Côte d’Ivoire, the results show that their growth rates could be adversely affected by conservation policies. However, for Benin, Kenya and Sudan the results show that conservation policies could enhance the growth process in these countries. We also find instances of policy dilemma for Nigeria and Benin that conform to both the growth and the conservation hypotheses.

Suggested Citation

  • Olayeni Olaolu Richard, 2012. "Energy consumption and economic growth in sub-Saharan Africa: An asymmetric cointegration analysis," International Economics, CEPII research center, issue 129, pages 99-118.
  • Handle: RePEc:cii:cepiie:2012-q1-129-4
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2110701713600505
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Imisi Aiyetan & Adeleke Aremo & Philip Olomola, 2020. "Assessing the Impact of Electricity Production on Industrial and Agricultural Output Growth in Nigeria," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 13(3), pages 83-97, December.
    2. Bothwell Nyoni & Andrew Phiri, 2020. "Renewable Energy - Economic Growth Nexus in South Africa: Linear, Nonlinear or Non-existent?," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 635-644.
    3. Wesseh, Presley K. & Lin, Boqiang, 2020. "Energy substitution and technology costs in a transitional economy," Energy, Elsevier, vol. 203(C).
    4. Patterson C. Ekeocha & Dinci J. Penzin & Jonathan Emenike Ogbuabor, 2020. "Energy Consumption and Economic Growth in Nigeria: A Test of Alternative Specifications," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 369-379.
    5. Kouton, Jeffrey, 2019. "The asymmetric linkage between energy use and economic growth in selected African countries: Evidence from a nonlinear panel autoregressive distributed lag model," Energy Economics, Elsevier, vol. 83(C), pages 475-490.
    6. Kassi, Diby François & Sun, Gang & Gnangoin, Yobouet Thierry & Edjoukou, Akadje Jean Roland & Assamoi, Guy Roland, 2019. "Dynamics between Financial development, Energy consumption and Economic growth in Sub-Saharan African countries: Evidence from an asymmetrical and nonlinear analysis," MPRA Paper 93462, University Library of Munich, Germany, revised 23 Apr 2019.
    7. Dakpogan, Arnaud & Smit, Eon, 2018. "Effect of negative shocks to electricity consumption on negative shocks to economic growth in Benin," MPRA Paper 89539, University Library of Munich, Germany.
    8. Wesseh, Presley K. & Lin, Boqiang, 2017. "Is renewable energy a model for powering Eastern African countries transition to industrialization and urbanization?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 909-917.
    9. Wesseh, Presley K. & Lin, Boqiang, 2018. "Energy consumption, fuel substitution, technical change, and economic growth: Implications for CO2 mitigation in Egypt," Energy Policy, Elsevier, vol. 117(C), pages 340-347.
    10. Obukohwo Oba EFAYENA & Enoh Hilda OLELE & Ngozi Patricia BUZUGBE, 2022. "Energy consumption and economic growth nexus in Africa: New insights from emerging economies," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(633), W), pages 185-196, Winter.
    11. Amine Lahiani & Sinha Avik & Muhammad Shahbaz, 2018. "Renewable energy consumption, income, CO2 emissions and oil prices in G7 countries: The importance of asymmetries," Post-Print hal-03677233, HAL.
    12. Adebumiti, Qazeem & Masih, Mansur, 2018. "Economic growth, energy consumption and government expenditure:evidence from a nonlinear ARDL analysis," MPRA Paper 87527, University Library of Munich, Germany.
    13. Kassouri, Yacouba & Altıntaş, Halil, 2020. "Commodity terms of trade shocks and real effective exchange rate dynamics in Africa's commodity-exporting countries," Resources Policy, Elsevier, vol. 68(C).
    14. Wesseh, Presley K. & Lin, Boqiang, 2016. "Factor demand, technical change and inter-fuel substitution in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 979-991.
    15. Lin, Boqiang & Ankrah, Isaac, 2019. "On Nigeria's renewable energy program: Examining the effectiveness, substitution potential, and the impact on national output," Energy, Elsevier, vol. 167(C), pages 1181-1193.
    16. Lin, Boqiang & Abudu, Hermas, 2019. "Changes in Energy Intensity During the development Process:Evidence in Sub-Saharan Africa and Policy Implications," Energy, Elsevier, vol. 183(C), pages 1012-1022.
    17. Olaoye, Olumide O. & Eluwole, Oluwatosin O. & Ayesha, Aziz & Afolabi, Olugbenga O., 2020. "Government spending and economic growth in ECOWAS: An asymmetric analysis," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).

    More about this item

    Keywords

    Energy; Growth; Asymmetric Cointegration; Sub-Saharan Africa;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:cii:cepiie:2012-q1-129-4. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cepiifr.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.