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What if Energy Time Series are not Independent? Implications for Energy-GDP Causality Analysis

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  • Bruns, Stephan B.

    () (Max Planck Institute of Economics)

  • Gross, Christian

    () (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

Abstract

Time series of electricity, petroleum products, and renewables are found to be highly correlated with total energy consumption. Applying this insight to the huge literature on energy-GDP causality explains that the results of energy-GDP causality tests frequently coincide with the results of energy type-GDP tests. Using the test by Toda-Yamamoto in combination with a cointegration-based testing approach, we detect such cases of concordance for 92 per cent of the countries in our sample of 65 countries. As a consequence, it is difficult to draw specific economic conclusions regarding single types of energy from bivariate causality analysis.

Suggested Citation

  • Bruns, Stephan B. & Gross, Christian, 2013. "What if Energy Time Series are not Independent? Implications for Energy-GDP Causality Analysis," FCN Working Papers 10/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  • Handle: RePEc:ris:fcnwpa:2013_010
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    1. Frondel, Manuel & Ritter, Nolan & Schmidt, Christoph M. & Vance, Colin, 2010. "Economic impacts from the promotion of renewable energy technologies: The German experience," Energy Policy, Elsevier, vol. 38(8), pages 4048-4056, August.
    2. Payne, James E., 2009. "On the dynamics of energy consumption and output in the US," Applied Energy, Elsevier, vol. 86(4), pages 575-577, April.
    3. James E. Payne, 2010. "Survey of the international evidence on the causal relationship between energy consumption and growth," Journal of Economic Studies, Emerald Group Publishing, vol. 37(1), pages 53-95, January.
    4. Zapata, Hector O & Rambaldi, Alicia N, 1997. "Monte Carlo Evidence on Cointegration and Causation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(2), pages 285-298, May.
    5. Zamani, Mehrzad, 2007. "Energy consumption and economic activities in Iran," Energy Economics, Elsevier, vol. 29(6), pages 1135-1140, November.
    6. Stephan B. Bruns, Christian Gross and David I. Stern, 2014. "Is There Really Granger Causality Between Energy Use and Output?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    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. Altinay, Galip & Karagol, Erdal, 2005. "Electricity consumption and economic growth: Evidence from Turkey," Energy Economics, Elsevier, vol. 27(6), pages 849-856, November.
    9. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    10. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    11. David I. Stern and Astrid Kander, 2012. "The Role of Energy in the Industrial Revolution and Modern Economic Growth," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    12. Vaona, Andrea, 2012. "Granger non-causality tests between (non)renewable energy consumption and output in Italy since 1861: The (ir)relevance of structural breaks," Energy Policy, Elsevier, vol. 45(C), pages 226-236.
    13. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    14. 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.
    15. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    16. Chor Foon Tang and Eu Chye Tan, 2012. "Electricity Consumption and Economic Growth in Portugal: Evidence from a Multivariate Framework Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    17. Lotfalipour, Mohammad Reza & Falahi, Mohammad Ali & Ashena, Malihe, 2010. "Economic growth, CO2 emissions, and fossil fuels consumption in Iran," Energy, Elsevier, vol. 35(12), pages 5115-5120.
    18. Hongyi Li & Huang Liang, 2010. "Health, education, and economic growth in East Asia," Journal of Chinese Economic and Foreign Trade Studies, Emerald Group Publishing, vol. 3(2), pages 110-131, June.
    19. Stern, David I. & Enflo, Kerstin, 2013. "Causality between energy and output in the long-run," Energy Economics, Elsevier, vol. 39(C), pages 135-146.
    20. Zou, Gaolu & Chau, K.W., 2006. "Short- and long-run effects between oil consumption and economic growth in China," Energy Policy, Elsevier, vol. 34(18), pages 3644-3655, December.
    21. Gross, Christian, 2012. "Explaining the (non-) causality between energy and economic growth in the U.S.—A multivariate sectoral analysis," Energy Economics, Elsevier, vol. 34(2), pages 489-499.
    22. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    23. Toda, Hiro Y., 1995. "Finite Sample Performance of Likelihood Ratio Tests for Cointegrating Ranks in Vector Autoregressions," Econometric Theory, Cambridge University Press, vol. 11(05), pages 1015-1032, October.
    24. Wolde-Rufael, Yemane, 2010. "Coal consumption and economic growth revisited," Applied Energy, Elsevier, vol. 87(1), pages 160-167, January.
    25. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    26. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    27. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    28. Zachariadis, Theodoros, 2007. "Exploring the relationship between energy use and economic growth with bivariate models: New evidence from G-7 countries," Energy Economics, Elsevier, vol. 29(6), pages 1233-1253, November.
    29. Liyan Han & Donghui Li & Fariborz Moshirian & Yanhui Tian, 2010. "Insurance Development and Economic Growth*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(2), pages 183-199, April.
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    Cited by:

    1. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    2. Rohlfs, Wilko & Madlener, Reinhard, 2013. "Challenges in the Evaluation of Ultra-Long-Lived Projects: Risk Premia for Projects with Eternal Returns or Costs," FCN Working Papers 13/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    3. Bennouna, Amin & El Hebil, Charaf, 2016. "Energy needs for Morocco 2030, as obtained from GDP-energy and GDP-energy intensity correlations," Energy Policy, Elsevier, vol. 88(C), pages 45-55.
    4. Stephan B. Bruns, Christian Gross and David I. Stern, 2014. "Is There Really Granger Causality Between Energy Use and Output?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Dutta, Champa Bati & Das, Debasish Kumar, 2016. "Does disaggregated CO2 emission matter for growth? Evidence from thirty countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 825-833.
    6. Burke, Paul J. & Csereklyei, Zsuzsanna, 2016. "Understanding the energy-GDP elasticity: A sectoral approach," Energy Economics, Elsevier, vol. 58(C), pages 199-210.
    7. Hasanov, Fakhri & Bulut, Cihan & Suleymanov, Elchin, 2017. "Review of energy-growth nexus: A panel analysis for ten Eurasian oil exporting countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 369-386.
    8. Hasanov, Akram Shavkatovich & Do, Hung Xuan & Shaiban, Mohammed Sharaf, 2016. "Fossil fuel price uncertainty and feedstock edible oil prices: Evidence from MGARCH-M and VIRF analysis," Energy Economics, Elsevier, vol. 57(C), pages 16-27.
    9. Paresh Narayan & Russell Smyth, 2014. "Applied Econometrics and a Decade of Energy Economics Research," Monash Economics Working Papers 21-14, Monash University, Department of Economics.
    10. Ikegami, Masako & Wang, Zijian, 2016. "The long-run causal relationship between electricity consumption and real GDP: Evidence from Japan and Germany," Journal of Policy Modeling, Elsevier, vol. 38(5), pages 767-784.

    More about this item

    Keywords

    Energy; GDP; Granger causality; Correlation; Electricity; Petroleum products; Renewables; Toda-Yamamoto; Johansen-Juselius;

    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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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