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The long-run causal relationship between transport energy consumption and GDP: Evidence from heterogeneous panel methods robust to cross-sectional dependence

Author

Listed:
  • Liddle, Brantley
  • Lung, Sidney
Abstract
This paper employs panel methods that address/mitigate heterogeneity and cross-sectional dependence to determine the direction and sign of long-run causality between transport energy consumption per capita and real GDP per capita. Granger-causality was determined to run from GDP to energy.

Suggested Citation

  • Liddle, Brantley & Lung, Sidney, 2013. "The long-run causal relationship between transport energy consumption and GDP: Evidence from heterogeneous panel methods robust to cross-sectional dependence," Economics Letters, Elsevier, vol. 121(3), pages 524-527.
    • Handle: RePEc:eee:ecolet:v:121:y:2013:i:3:p:524-527
    DOI: 10.1016/j.econlet.2013.10.011
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    References listed on IDEAS

    as
    1. Narayan, Paresh Kumar & Narayan, Seema & Popp, Stephan, 2010. "Does electricity consumption panel Granger cause GDP? A new global evidence," Applied Energy, Elsevier, vol. 87(10), pages 3294-3298, October.
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    19. David Canning & Peter Pedroni, 2008. "Infrastructure, Long‐Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, September.
    20. Payne, James E., 2010. "A survey of the electricity consumption-growth literature," Applied Energy, Elsevier, vol. 87(3), pages 723-731, March.
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    More about this item

    Keywords

    Transport energy consumption; Panel Granger causality; Cross-sectional dependence; Heterogeneous panels; Developed and developing countries;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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