IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v89y2024ipap940-953.html
   My bibliography  Save this article

The changing dynamics of crypto mining and environmental impact

Author

Listed:
  • Kumari, Pooja
  • Mamidala, Vasanthi
  • Chavali, Kavita
  • Behl, Abhishek

Abstract

This study investigates the association between energy consumption in Bitcoin mining and energy indices. The study also examines the moderating effect of COVID-19 on the relationships between energy consumption in Bitcoin mining and energy indices. We applied vector autoregression and vector error correction models. Before COVID-19, the relationship between Bitcoin mining and the clean energy index was significant. However, after the pandemic, this relation was found to be less significant compared to Bitcoin mining and the dirty energy index association. The findings help investors and policymakers to understand the environmental impact of Bitcoin mining.

Suggested Citation

  • Kumari, Pooja & Mamidala, Vasanthi & Chavali, Kavita & Behl, Abhishek, 2024. "The changing dynamics of crypto mining and environmental impact," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 940-953.
  • Handle: RePEc:eee:reveco:v:89:y:2024:i:pa:p:940-953
    DOI: 10.1016/j.iref.2023.08.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056023003246
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2023.08.004?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 search for a different version of it.

    More about this item

    Keywords

    Bitcoin; Energy consumption; Energy indices; Vector autoregression; Vector error correction model;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F18 - International Economics - - Trade - - - Trade and Environment
    • P33 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - International Trade, Finance, Investment, Relations, and Aid

    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:reveco:v:89:y:2024:i:pa:p:940-953. 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/inca/620165 .

    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.