IDEAS home Printed from https://ideas.repec.org/a/spr/eaiere/v21y2024i2d10.1007_s40844-023-00255-x.html
   My bibliography  Save this article

Statistical laws observed in earthquakes using mesh statistics: an econophysical point of view

Author

Listed:
  • Atushi Ishikawa

    (Kanazawa Gakuin University)

  • Shouji Fujimoto

    (Kanazawa Gakuin University)

  • Takayuki Mizuno

    (The Graduate University for Advanced Studies)

Abstract

This paper analyzes earthquakes of intensity 1 or greater in Japan from 1982 to 2021 using seismic data published by the Japan Meteorological Agency. After measuring the transition of the Gutenberg–Richter law, we identified a positive correlation between the number of annual earthquakes and b values. Using mesh statistics, we also compiled the seismic energy and number of earthquakes for each mesh to confirm their power laws, the correlation between the seismic energy and the number of earthquakes, and the existence of time-reversal symmetry. We concluded that Gibrat’s law does not exist and discussed the properties that exist in its place.

Suggested Citation

  • Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno, 2024. "Statistical laws observed in earthquakes using mesh statistics: an econophysical point of view," Evolutionary and Institutional Economics Review, Springer, vol. 21(2), pages 203-216, September.
    • Handle: RePEc:spr:eaiere:v:21:y:2024:i:2:d:10.1007_s40844-023-00255-x
    DOI: 10.1007/s40844-023-00255-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40844-023-00255-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40844-023-00255-x?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

    Gutenberg–Richter law; b value; Mesh statistics; Power law; Time-reversal symmetry; Gibrat’s law;
    All these keywords.

    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts

    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:spr:eaiere:v:21:y:2024:i:2:d:10.1007_s40844-023-00255-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.