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A multivariate analysis of the causal flow between renewable energy consumption and GDP in Tunisia

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  • Ben Salha, Ousama
  • Sebri, Maamar

Abstract

This paper examines the causality linkages between economic growth, renewable energy consumption, CO2 emissions and domestic investment in Tunisia between 1971 and 2010. Using the ARDL bounds testing approach to cointegration, long-run relationships between the variables are identified. The Granger causality analysis, on the other hand, indicates that there is bi-directional causality between renewable energy consumption and economic growth, which supports the feedback hypothesis in Tunisia. In addition, the quantity of CO2 emissions collapses as a reaction to an increase in renewable energy consumption. These findings remain robust even when controlling for the presence of structural break. We conclude that more efforts should be undertaken to further develop a suitable infrastructure to the renewable energy sector, given its enhancing-effects on economic growth and reducing-effects on CO2 emissions.

Suggested Citation

  • Ben Salha, Ousama & Sebri, Maamar, 2013. "A multivariate analysis of the causal flow between renewable energy consumption and GDP in Tunisia," MPRA Paper 52572, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:52572
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    References listed on IDEAS

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    Cited by:

    1. repec:eee:rensus:v:81:y:2018:i:p2:p:2335-2342 is not listed on IDEAS
    2. Sebri, Maamar, 2015. "Use renewables to be cleaner: Meta-analysis of the renewable energy consumption–economic growth nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 657-665.
    3. Ben Jebli, Mehdi & Ben Youssef, Slim, 2015. "Renewable Energy Consumption and Agriculture: Evidence for Cointegration and Granger causality for Tunisian Economy," MPRA Paper 68018, University Library of Munich, Germany.

    More about this item

    Keywords

    ARDL; Economic growth; Granger causality; Renewable energy consumption; Structural break; Tunisia.;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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