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Forecasting Domestic Energy Consumption in Taiwan under Economic Shocks: An ARIMA Model Approach

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  • Cheng-Wen Lee
  • Kuei-Chiang Chen

Abstract

This study examines domestic energy consumption in Taiwan under economic shocks, with a focus on the 2008 financial crisis and crude oil price volatility. As Taiwan relies heavily on imported energy, accurate forecasting of consumption is critical for sustainable policy planning. Using monthly data from 2002 to 2019, this research applies autoregressive and ARIMA models to predict long-term demand and assess the impact of external shocks. Results indicate a steady upward trend in energy use with clear seasonal variation, but notable declines occurred during the 2008 oil price surge and financial turmoil, reflecting strong sensitivity to global instability. The AR(1) model shows high explanatory power, with predicted values closely matching observed data, and diagnostic tests confirming model robustness. Findings highlight that while energy demand recovers alongside economic growth, conservation policies during downturns alone are insufficient. The study underscores the importance of improving energy efficiency, diversifying supply, and strengthening carbon-reduction measures to ensure Taiwan’s sustainable energy security.  JEL classification numbers: Q41, Q43, Q48, C22.

Suggested Citation

  • Cheng-Wen Lee & Kuei-Chiang Chen, 2025. "Forecasting Domestic Energy Consumption in Taiwan under Economic Shocks: An ARIMA Model Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 15(6), pages 1-13.
  • Handle: RePEc:spt:admaec:v:15:y:2025:i:6:f:15_6_13
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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