IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/83279.html
   My bibliography  Save this paper

Renewable energy consumption and unemployment in South Africa

Author

Listed:
  • Moyo, Clement
  • Dingela, Siyasanga
  • Kolisi, Nwabisa
  • Khobai, Hlalefang
  • Anyikwa, Izunna

Abstract

The importance of renewable energy consumption has grown to a large extent over the recent years. The benefits of renewable energy consumption ranging from improved environmental quality to higher economic growth are well documented. However, the impact of renewable energy consumption on unemployment has received relatively less attention. This study examines the relationship between renewable energy consumption and unemployment in South Africa over the period 1990-2014. The Autoregressive Distributed Lag (ARDL) model was employed to test the long-run and short-run impacts of renewable energy consumption on unemployment. The results reveal that renewable energy consumption has a negative and significant effect on unemployment in the long-run. However, in the short-run the variables have an insignificant relationship. The study therefore advocates for an increase in the production and consumption of renewable energy in order to boost employment levels.

Suggested Citation

  • Moyo, Clement & Dingela, Siyasanga & Kolisi, Nwabisa & Khobai, Hlalefang & Anyikwa, Izunna, 2017. "Renewable energy consumption and unemployment in South Africa," MPRA Paper 83279, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:83279
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/83279/1/MPRA_paper_83279.pdf
    File Function: original version
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    3. Salim, Ruhul A. & Hassan, Kamrul & Shafiei, Sahar, 2014. "Renewable and non-renewable energy consumption and economic activities: Further evidence from OECD countries," Energy Economics, Elsevier, vol. 44(C), pages 350-360.
    4. Guglielmo Maria Caporale & Christophe Rault & Robert Sova & Anamaria Sova, 2009. "Financial Development and Economic Growth: Evidence from Ten New EU Members," Discussion Papers of DIW Berlin 940, DIW Berlin, German Institute for Economic Research.
    5. Laura Cojocaru & Evangelos M. Falaris & Saul Hoffman & Jeffrey B. Miller, 2015. "Financial System Development and Economic Growth in Transition Economies:New Empirical Evidence from the CEE and CIS Countries," Working Papers 15-04, University of Delaware, Department of Economics.
    6. Guglielmo Maria Caporale & Christophe Rault & Anamaria Diana Sova & Robert Sova, 2015. "Financial Development and Economic Growth: Evidence from 10 New European Union Members," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(1), pages 48-60, January.
    7. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    8. repec:wbk:wbpubs:26447 is not listed on IDEAS
    9. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    10. 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.
    11. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    12. Lehr, Ulrike & Nitsch, Joachim & Kratzat, Marlene & Lutz, Christian & Edler, Dietmar, 2008. "Renewable energy and employment in Germany," Energy Policy, Elsevier, vol. 36(1), pages 108-117, January.
    13. 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.
    14. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    15. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    16. Kahia, Montassar & Ben Aïssa, Mohamed Safouane & Charfeddine, Lanouar, 2016. "Impact of renewable and non-renewable energy consumption on economic growth: New evidence from the MENA Net Oil Exporting Countries (NOECs)," Energy, Elsevier, vol. 116(P1), pages 102-115.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Renewable energy consumption; unemployment; ARDL; South Africa;

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General

    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:pra:mprapa:83279. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.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.