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Public Sector Policy of Estimating Model for Renewable Energy

Author

Listed:
  • Saring Suhendro

    (Department of Accounting, Faculty of Economics and Business, Universitas Lampung, Indonesia)

  • Mega Matalia

    (Department of Accounting, Faculty of Economics and Business, Universitas Lampung, Indonesia)

  • Sari Indah Oktanti Sembiring

    (Department of Accounting, Faculty of Economics and Business, Universitas Lampung, Indonesia)

Abstract

Renewable energies are crucially needed right now. One of the them is ethanol as a non-fossil energy source. Data time-series of world demand for ethanol are very interesting to find its forecasting models, so that the production targets can be more accurate. Generalised auto-regressive conditional heteroscedasticity is one of the best models we use. Our findings AR(1) - Generalised Auto-Regressive Conditional Heteroskedasticity (GARCH) (1,1) modelsare considered as a good-fit measurement in predicting ethanol demand. Increasing the number of demand should be considered with the number of its processes. In this paper, we combine an analysis of economic considerations (predicting demand levels) with a political analysis of policies (describing renewable energy policy options).

Suggested Citation

  • Saring Suhendro & Mega Matalia & Sari Indah Oktanti Sembiring, 2021. "Public Sector Policy of Estimating Model for Renewable Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 609-613.
    • Handle: RePEc:eco:journ2:2021-05-70
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    References listed on IDEAS

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    More about this item

    Keywords

    Renewable energies; Ethanol; GARCH model; Forecasting; Energy policy;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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