IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2014i23p61-88.html
   My bibliography  Save this article

Financial Solvency of Russian Regions in 2005-2011: Experience of Classification Analysis

Author

Listed:
  • Blagoveschensky, Yu.

    (INDEM Foundation, Moscow, Russia)

  • Vinukov, I.

    (Financial University under the Government of the Russian Federation, Moscow, Russia)

Abstract

The article is devoted to the development of classification of the territorial entities of the Russian Federation based on the data of the State statistical reporting for 2005-2011 and aimed at assessment of financial solvency of regions concerning budget support, attracting of investments, promoting export-import relationships with foreign countries and inter-government relations with the Federal center. The main achievement is a new approach to formation of integrated characteristics (indexes) which work equally well in different periods of economic development (in the period 2005-2011 we could observe uprising, crisis and an initial stage of the recovery). As a result 4 indexes reflecting different aspects of affluence on the regions' were designed, and common criteria of classification created, all the regions were divided into 6 well interpreted classes.

Suggested Citation

  • Blagoveschensky, Yu. & Vinukov, I., 2014. "Financial Solvency of Russian Regions in 2005-2011: Experience of Classification Analysis," Journal of the New Economic Association, New Economic Association, vol. 23(3), pages 61-88.
  • Handle: RePEc:nea:journl:y:2014:i:23:p:61-88
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2014-23-61-88r.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Rusanovskiy, Viktor (Русановский, Виктор) & Markov, Vladimir (Марков, Владимир) & Brovkova, Anna (Бровкова, Анна), 2018. "Modeling the Effects of Spatial Localization in Urban Agglomerations of Russia [Моделирование Эффекта Пространственной Локализации В Городских Агломерациях России]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, December.

    More about this item

    Keywords

    classification of territorial entities of the Russia; financial indicators number; principal component; robust normalizing; abutment regions; rating;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • G39 - Financial Economics - - Corporate Finance and Governance - - - Other
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    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:nea:journl:y:2014:i:23:p:61-88. 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 Tcharykov (email available below). General contact details of provider: https://edirc.repec.org/data/nearuea.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.