IDEAS home Printed from https://ideas.repec.org/a/bic/journl/v11y2011i2p59-80.html
   My bibliography  Save this article

Building methodology, assessing the risks: the case of energy security in the Baltic States

Author

Listed:
  • Arūnas Molis

    (Vytautas Magnus University)

Abstract

The purpose of this article is not confined to analysis of risks to the Baltic States' energy security. The research aimed to develop methods for risk intensity assessment tools as well empirical examples. It encompasses an effort to tailor a system of damage and probability (i.e. risk intensity) assesment used by other authors to risk analysis. The analysis performed by using this methodology shows the existence of at least two major energy security risks of intolerable intensity for the Baltic States: dependency on a single energy resources supplier and a wrong (in the terms of transparency, competence and knowledge) decision making process. Neutralization of these two risks or mitigation of the negative consequences caused by these should become the energy security priorities for Lithuania, Latvia and Estonia.

Suggested Citation

  • Arūnas Molis, 2011. "Building methodology, assessing the risks: the case of energy security in the Baltic States," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(2), pages 59-80, December.
  • Handle: RePEc:bic:journl:v:11:y:2011:i:2:p:59-80
    as

    Download full text from publisher

    File URL: https://www.tandfonline.com/doi/epdf/10.1080/1406099X.2011.10840501
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Furuoka, Fumitaka, 2017. "Renewable electricity consumption and economic development: New findings from the Baltic countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 450-463.
    2. Meriküll, Jaanika & Eamets, Raul & Humal, Katrin & Espenberg, Kerly, 2012. "Power without manpower: Forecasting labour demand for Estonian energy sector," Energy Policy, Elsevier, vol. 49(C), pages 740-750.

    More about this item

    Keywords

    Baltic States; energy risks; assessment methodology;
    All these keywords.

    JEL classification:

    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

    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:bic:journl:v:11:y:2011:i:2:p:59-80. 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: Anna Zasova (email available below). General contact details of provider: https://edirc.repec.org/data/biceplv.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.