IDEAS home Printed from https://ideas.repec.org/a/rjr/romjef/v6y2009i3p5-21.html
   My bibliography  Save this article

Global Simulation of Quality and Security of Human Life

Author

Listed:
  • Zgurovski, M.

    (National Technical University of Ukraine “Kyiv Polytechnic Institute”, 37 Peremogy ave, Kyiv, Ukraine)

Abstract

A system of factors (indices and indicators) and a new method of quantitative and qualitative evaluation are developed. This system, named “Sustainable Development Gauging Matrix” (SDGM) and data presented by reliable international organizations culminated in a Global Simulation regarding quality of life and security of the world population. Specifically, this study focuses on the analysis of the Systematic Regularity of World Conflicts over the Course of Time. A prognosis is detailed of the next world conflict, labeled the "Conflict of XXI Century”, and an analysis is provided of its nature and main characteristics; duration, main phases of the conflict and intensity. This prognosis details a set of basic global threats that spawn this conflict. Using cluster analysis, its influence on different countries of the world is accurately defined. These results were obtained by applying the capabilities of the world data centers network as a tool for providing a variety of scientific interdisciplinary data.

Suggested Citation

  • Zgurovski, M., 2009. "Global Simulation of Quality and Security of Human Life," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(3), pages 5-21, September.
    • Handle: RePEc:rjr:romjef:v:6:y:2009:i:3:p:5-21
    as

    Download full text from publisher

    File URL: http://www.ipe.ro/rjef/rjef3_09/rjef3_09_1.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    noosphere; sustainable development; interdisciplinary data; global simulation; gauging matrix; global threats; conflict; cluster analysis;
    All these keywords.

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

    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:rjr:romjef:v:6:y:2009:i:3:p:5-21. 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: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/ipacaro.html .

    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.