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Persistence in world energy consumption: Evidence from subsampling confidence intervals

Author

Listed:
  • Firouz Fallahi

    (ESDC - Employment and Social Development Canada)

  • Mohammad Karimi

    (Carleton University)

  • Marcel-Cristian Voia

    (UO - Université d'Orléans, UniBuc - University of Bucharest)

Abstract

This paper analyzes the persistence properties of energy consumption in 107 countries over the 1971–2011 period. It uses subsampling confidence interval methods that are more informative than simple unit root tests to describe the underlying process of energy consumption. Because subsampling requires fewer assumptions on the nature of the data generating process, inference is less prone to a number of potential misspecification errors. By focusing on the degree of persistence in the process describing a country's energy consumption, the analysis not only provides evidence on the stationarity or nonstationarity of the energy consumption but also gives insight into the likely success of environmentally oriented government intervention. The analysis finds that the 107 countries can be grouped into three persistence classes: those whose energy consumption is explosive (highly populated countries with high growth rates); those with nonstationary energy consumption (developing and highly oil dependent economies); and those whose energy consumption is stationary (developed and energy-rich countries). In nonstationary cases, government intervention can be effective and produce permanent improvements in energy conservation and other environmental concerns. In stationary cases energy conservation and environmentally-oriented demand-management policies can have only temporary effects and thus designed to speed re-adjustment to the longer run underlying trend.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Firouz Fallahi & Mohammad Karimi & Marcel-Cristian Voia, 2016. "Persistence in world energy consumption: Evidence from subsampling confidence intervals," Post-Print hal-04926573, HAL.
  • Handle: RePEc:hal:journl:hal-04926573
    DOI: 10.1016/j.eneco.2016.04.021
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    Citations

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    Cited by:

    1. Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino, 2018. "Energy demand elasticities and weather worldwide," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 207-237, April.
    2. Firouz Fallahi, 2019. "Persistence and stationarity of sectoral energy consumption in the US: A confidence interval approach," Energy & Environment, , vol. 30(5), pages 882-897, August.
    3. Kassouri, Yacouba, 2022. "Boom-bust cycles in oil consumption: The role of explosive bubbles and asymmetric adjustments," Energy Economics, Elsevier, vol. 111(C).
    4. Solarin, Sakiru Adebola & Gil-Alana, Luis A. & Lafuente, Carmen, 2020. "An investigation of long range reliance on shale oil and shale gas production in the U.S. market," Energy, Elsevier, vol. 195(C).
    5. Hounyo, Ulrich & Kakeu, Johnson & Lu, Li, 2024. "Heterogeneity in carbon intensity patterns: A subsampling approach," Energy Economics, Elsevier, vol. 138(C).
    6. Burcu Kiran Baygin & Nilgün Çil, 2024. "Persistence of shocks on non-renewable and renewable energy consumption: evidence from 15 leading countries with Fourier unit root test," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(3), pages 5915-5934, March.
    7. Simionescu, Mihaela, 2022. "Stochastic convergence in per capita energy use in the EU-15 countries. The role of economic growth," Applied Energy, Elsevier, vol. 322(C).
    8. Fallahi, Firouz, 2017. "Stochastic convergence in per capita energy use in world," Energy Economics, Elsevier, vol. 65(C), pages 228-239.
    9. Firouz Fallahi, 2020. "Persistence and unit root in $$\text {CO}_{2}$$CO2 emissions: evidence from disaggregated global and regional data," Empirical Economics, Springer, vol. 58(5), pages 2155-2179, May.
    10. Mihaela Simionescu & Wadim Strielkowski & Nicolas Schneider & Luboš Smutka, 2022. "Convergence behaviours of energy series and GDP nexus hypothesis: A non-parametric Bayesian application," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-25, August.
    11. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju & Wu, Ting-Pin, 2025. "Corrigendum to “The impact of natural disaster on energy consumption: International evidence” [Energy Economics Volume 97, May 2021, 105021]," Energy Economics, Elsevier, vol. 149(C).
    12. 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).
    13. Lee, Chien-Chiang & Ranjbar, Omid & Lee, Chi-Chuan, 2021. "Testing the persistence of shocks on renewable energy consumption: Evidence from a quantile unit-root test with smooth breaks," Energy, Elsevier, vol. 215(PB).

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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