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Stationarity Properties of Renewable Energy Consumption in the Commonwealth of Independent States

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  • Nermin Yasar

    (Department of Foreign Trade, Cankaya University, Ankara, Turkey.)

Abstract

This study investigates the stochastic properties of renewable energy consumption series across 11 Commonwealth of Independent States countries through the period of 1990-2015. For this purpose, along with traditional stationarity analysis recently improved unit root techniques which allows for nonlinear adjustments in the data generating process are used in this paper. Based on our findings we may conclude that, consideration of nonlinearity in regression process causes to more frequent non rejection of the null hypothesis of stationarity. It implies that ignoring possible nonlinearities in time series regression process may lead to some misleading results. Hereby, fluctuations in global energy supply and trade systems influence renewable energy consumption in nonlinear pattern and policy-makers should take it into consideration in terms of proper energy policy implication.

Suggested Citation

  • Nermin Yasar, 2020. "Stationarity Properties of Renewable Energy Consumption in the Commonwealth of Independent States," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 155-159.
    • Handle: RePEc:eco:journ2:2020-01-23
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    References listed on IDEAS

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    More about this item

    Keywords

    Renewable energy consumption; Panel Unit Root; Nonlinearity; ESTAR Panel Unit Root;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment

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