IDEAS home Printed from https://ideas.repec.org/a/ura/ecregj/v1y2014i2p248-254.html
   My bibliography  Save this article

Optimization of finances into regional energy

Author

Listed:
  • Aleksey Domnikov
  • Mikhail Khodorovskiy
  • Pavel Khomenko

    (Ural Federal University named after the first President of Russia B. N. Yeltsin)

Abstract

The development of modern Russian energy collides with the need for major investments in the modernization and renewal of generation and transmission capacity. In terms of attracting sufficient financial resources and find ways to increase, energy sector profitability and investment attractiveness of particular importance is the problem of investment financing optimizing aimed at minimizing the cost of financing while maintaining financial stability of the power companies and the goals and objectives of Russian energy system long-term development. The article discusses the problem of investment projects financing in power generation from the point of view of the need to achieve optimal investment budget. Presents the author’s approach to the investment financing optimization of power generation company that will achieve the minimum cost of resources involved, taking into account the impact of the funding structure for the power generating company financial sustainability. The developed model is applied to the problem of investment budget optimiz ing, for example, regional power generating company. The results can improve the efficiency of investment in energy, sustainable and competitive development of regional energy systems.

Suggested Citation

  • Aleksey Domnikov & Mikhail Khodorovskiy & Pavel Khomenko, 2014. "Optimization of finances into regional energy," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 248-254.
  • Handle: RePEc:ura:ecregj:v:1:y:2014:i:2:p:248-254
    as

    Download full text from publisher

    File URL: http://economyofregion.ru/Data/Issues/ER2014/June_2014/ERJune2014_248_254.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Gaynanov, D. A. & Kantor, O. G. & Kashirina, E. S., 2015. "Synergetic modelling of the Russian Federation’s energy system parameters," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 1(4), pages 618-628.
    2. Damir Gaynanov & Olga Kantor & Ekaterina Kashirina, 2015. "Synergetic Modelling of the Russian Federation’s Energy System Parameters," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 357-369.

    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:ura:ecregj:v:1:y:2014:i:2:p:248-254. 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: Alexey Naydenov (email available below). General contact details of provider: http://www.economyofregion.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.