IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v149y2025ics0140988325005572.html

Corrigendum to “The impact of natural disaster on energy consumption: International evidence” [Energy Economics Volume 97, May 2021, 105021]

Author

Listed:
  • 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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • 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).
    • Handle: RePEc:eee:eneeco:v:149:y:2025:i:c:s0140988325005572
    DOI: 10.1016/j.eneco.2025.108730
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325005572
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2025.108730?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:149:y:2025:i:c:s0140988325005572. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.