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Are Fluctuations in Energy Consumption Transitory or Permanent? Evidence From a Panel of East Asia & Pacific Countries

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  • Hakan Kum

    (Faculty of Economics and Administrative Sciences,Department of Economics, Nevsehir University)

Abstract

This paper examines the unit root properties of energy consumption per capita for 15 East Asia & Pacific countries employing the Lagrange Multiplier (LM) panel unit root test with one structural break for 1971-2007. When we apply the LM univariate test without break, we find a unit root in per capita consumption for Brunei Darussalam, Indonesia, Japan, North Korea, South Korea and Myanmar. However, when we apply LM unit root with structural break, we find overwhelming evidence that there is no unit root in per capita energy consumption for these 15 East Asia & Pacific countries.

Suggested Citation

  • Hakan Kum, 2012. "Are Fluctuations in Energy Consumption Transitory or Permanent? Evidence From a Panel of East Asia & Pacific Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 2(3), pages 92-96.
  • Handle: RePEc:eco:journ2:2012-03-1
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    Cited by:

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    2. Lean, Hooi Hooi & Smyth, Russell, 2013. "Will policies to promote renewable electricity generation be effective? Evidence from panel stationarity and unit root tests for 115 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 371-379.
    3. Oluwasola E Omoju & Jinkai Li & Jin Zhang & Abdul Rauf & Victor Edem Sosoo, 2020. "Implications of shocks in energy consumption for energy policy in sub-Saharan Africa," Energy & Environment, , vol. 31(6), pages 1077-1097, September.
    4. Dmitry Burakov, 2019. "Are Oil Shocks Permanent or Temporary? Panel Data Evidence from Crude Oil Production in 15 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 295-298.
    5. Lean, Hooi Hooi & Smyth, Russell, 2014. "Are shocks to disaggregated energy consumption in Malaysia permanent or temporary? Evidence from LM unit root tests with structural breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 319-328.
    6. Akram, Vaseem & Sahoo, Pradipta Kumar & Jangam, Bhushan Praveen, 2019. "Do shocks to electricity consumption revert to its equilibrium? Evidence from Indian states," Utilities Policy, Elsevier, vol. 61(C).
    7. Borozan, Djula, 2017. "Testing for convergence in electricity consumption across Croatian regions at the consumer's sectoral level," Energy Policy, Elsevier, vol. 102(C), pages 145-153.
    8. Ozcan, Burcu & Ozturk, Ilhan, 2016. "A new approach to energy consumption per capita stationarity: Evidence from OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 332-344.
    9. Erdogan, Sinan & Akalin, Guray & Oypan, Oguz, 2020. "Are shocks to disaggregated energy consumption transitory or permanent in Turkey? New evidence from fourier panel KPSS test," Energy, Elsevier, vol. 197(C).
    10. Bozoklu, Seref & Yilanci, Veli & Gorus, Muhammed Sehid, 2020. "Persistence in per capita energy consumption: A fractional integration approach with a Fourier function," Energy Economics, Elsevier, vol. 91(C).
    11. Guglielmo Maria Caporale & Luis A. Gil-Alana & Manuel Monge, 2019. "Energy Consumption in the GCC Countries: Evidence on Persistence," CESifo Working Paper Series 7470, CESifo.
    12. Akram, Vaseem & Rath, Badri Narayan & Sahoo, Pradipta Kumar, 2020. "Stochastic conditional convergence in per capita energy consumption in India," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 224-240.
    13. Smyth, Russell, 2013. "Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production," Applied Energy, Elsevier, vol. 104(C), pages 371-378.
    14. Ahmed Qahtan, Anwar Saeed & Xu, Helian & Abdo, AL-Barakani, 2021. "Stochastic convergence of disaggregated energy consumption per capita and its catch-up rate: An independent analysis of MENA net oil-exporting and importing countries," Energy Policy, Elsevier, vol. 150(C).
    15. repec:ipg:wpaper:2014-589 is not listed on IDEAS
    16. Yifei Cai & Cosimo Magazzino, 2019. "Are shocks to natural gas consumption transitory or permanent? A more powerful panel unit root test on the G7 countries," Natural Resources Forum, Blackwell Publishing, vol. 43(2), pages 111-120, May.
    17. Shahbaz, Muhammad & Khraief, Naceur & Mahalik, Mantu Kumar & Zaman, Khair Uz, 2014. "Are fluctuations in natural gas consumption per capita transitory? Evidence from time series and panel unit root tests," Energy, Elsevier, vol. 78(C), pages 183-195.
    18. Lean, Hooi Hooi & Smyth, Russell, 2014. "Will initiatives to promote hydroelectricity consumption be effective? Evidence from univariate and panel LM unit root tests with structural breaks," Energy Policy, Elsevier, vol. 68(C), pages 102-115.
    19. Mohamed Osman & Ariful Hoque & Geoffrey Gachino, 2018. "Structural Breaks and Energy Consumption in the Gulf Cooperation Council Countries: Are Random Shocks Transitory or Permanent?," Australian Economic Papers, Wiley Blackwell, vol. 57(4), pages 446-455, December.
    20. Yilanci, Veli & Tunali, Çiğdem Börke, 2014. "Are fluctuations in energy consumption transitory or permanent? Evidence from a Fourier LM unit root test," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 20-25.
    21. Lin, Boqiang & Omoju, Oluwasola E. & Okonkwo, Jennifer U., 2015. "Will disruptions in OPEC oil supply have permanent impact on the global oil market?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1312-1321.
    22. Shahbaz, Muhammad & Omay, Tolga & Roubaud, David, 2019. "Sharp and Smooth Breaks in Unit Root Testing of Renewable Energy Consumption: The Way Forward," MPRA Paper 92176, University Library of Munich, Germany, revised 11 Feb 2019.

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    More about this item

    Keywords

    Energy consumption; Unit root; Stationarity; Lagrange Multiplier; Panel unit root test.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single 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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