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The impact of natural disaster on energy consumption: International evidence

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  • Lee, Chien-Chiang
  • Wang, Chih-Wei
  • Ho, Shan-Ju
  • Wu, Ting-Pin

Abstract

This research shows that natural disasters may hurt energy consumption by using data on 123 countries over the period 1990–2015 and classifying them according to their economic development level and region based on World Development Indicators. We employ a two-step system-GMM method to examine the effect of natural disasters on energy consumption, presenting findings that support our hypotheses in the models and show a strong negative effect for low-income countries or those in the Africa region. After considering an alternative proxy for natural disaster, we implement quantile regression methods. Their results find that natural disasters exhibit a negative and significant impact on oil, renewable, and nuclear energy consumptions. The quantile regression models used in the robustness check present that the effects are stronger for low-level energy consumption economies.

Suggested Citation

  • Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju & Wu, Ting-Pin, 2021. "The impact of natural disaster on energy consumption: International evidence," Energy Economics, Elsevier, vol. 97(C).
  • Handle: RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988320303613
    DOI: 10.1016/j.eneco.2020.105021
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    More about this item

    Keywords

    Natural disaster; Energy consumption; System-GMM method; Quantile regression;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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    Access and download statistics

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