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The causal relationship between coal consumption and economic growth in the BRICS countries: Evidence from panel Granger causality tests

Author

Listed:
  • Tsangyao Chang

    (Department of Finance, Feng Chia University, Taichung, Taiwan)

  • Frederick W. Deale

    (Department of Economics, University of Pretoria)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Roulof Hefer

    (Department of Economics, University of Pretoria)

  • Roula Inglesi-Lotz

    (Department of Economics, University of Pretoria)

  • Beatrice D. Simo-Kengne

    (Department of Economics, University of Pretoria)

Abstract

This paper empirically analyses the causal linkages between coal consumption and economic growth in the BRICS countries using annual data from 1985 to 2009. We apply a panel causality methodology that accounts for both cross-section dependence and heterogeneity across countries. Empirical results provide evidence of no causal relationship between the two variables; suggesting that neither coal consumption nor economic growth is sensitive to each other. While this finding vindicates the neutrality hypothesis for the BRICS countries, the individual country results, however, provide support for a unidirectional causality running from coal consumption to economic growth for India and the opposite for South Africa. Therefore, increasing coal consumption might not have a significant impact on economic growth for the BRICS countries.

Suggested Citation

  • Tsangyao Chang & Frederick W. Deale & Rangan Gupta & Roulof Hefer & Roula Inglesi-Lotz & Beatrice D. Simo-Kengne, 2013. "The causal relationship between coal consumption and economic growth in the BRICS countries: Evidence from panel Granger causality tests," Working Papers 201369, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201369
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    More about this item

    Keywords

    Coal Consumption; Economic Growth; Dependency and Heterogeneity; Panel Causality;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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