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Panel Granger causality between oil consumption and GDP: evidence from BRICS countries

Author

Listed:
  • T. Chang
  • O.A. Gadinabokao
  • R. Gupta
  • R. Inglesi-Lotz
  • P. Kanniah
  • B.D. Simo-Kengne

Abstract

This paper examines the causal relationship between oil consumption and economic growth in the BRICS countries for the period from 1985 to 2011. We employ a panel causality approach which accounts for both cross-sectional dependency and heterogeneity across countries. The empirical results support the view that oil consumption and economic growth are not sensitive to each other for the panel of BRICS countries. Looking at the individual country results, there is only some evidence for China of a bidirectional causality. The lack of sensitivity between oil consumption and GDP for the BRICS countries indicates that policies aiming at reducing the use of crude oil will have minor to no effect on the economic growth and development of the BRICS countries.

Suggested Citation

  • T. Chang & O.A. Gadinabokao & R. Gupta & R. Inglesi-Lotz & P. Kanniah & B.D. Simo-Kengne, 2015. "Panel Granger causality between oil consumption and GDP: evidence from BRICS countries," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 7(1), pages 30-41.
    • Handle: RePEc:ids:ijsuse:v:7:y:2015:i:1:p:30-41
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    Cited by:

    1. Avazbek Sadikov & Nargiza Kasimova & Arletta Isaeva & Anastas Khachaturov & Raufhon Salahodjaev, 2020. "Pollution, Energy and Growth: Evidence from Post-Communist Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 656-661.
    2. Uktam Umurzakov & Bakhodir Mirzaev & Raufhon Salahodjaev & Arletta Isaeva & Shakhnoza Tosheva, 2020. "Energy Consumption and Economic Growth: Evidence from Post-Communist Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 59-65.

    More about this item

    Keywords

    economic growth; dependency; heterogeneity; oil consumption; BRICS countries; panel causality test; crude oil.;
    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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