IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa14p732.html
   My bibliography  Save this paper

Rural Mortality from External Causes in Russian Regions

Author

Listed:
  • Tatiana Blinova

    ()

Abstract

Rural Mortality from External Causes in Russian Regions Tatiana Blinova ? Doctor of Economics, Professor, Deputy Director on Science of the Institute of Agrarian Problems of the Russian Academy of Sciences (RAS). Svetlana Bylina ? Scientific Researcher. Institute of Agrarian Problems of the RAS Victor Rusanovskiy ? Doctor of Economics, Professor, Saratov State Socio-Economic University Abstract. The paper addresses the factors that affect the reduction of rural mortality from external causes in the regions of RF of different types and contains an estimation of the degree of their impact. We made a quantitative analysis and built models of the factors and determinants of the existing interregional differences in the pattern of rural mortality from external causes of death (road traffic accidents of all kinds, accidental alcohol poisoning, murder and suicide). The paper presents the results of the study of the dynamics and pattern of external causes of rural mortality with the use of Rosstat's data for Russian regions (2000-2012), and describes the nosological, gender and regional profile of rural mortality from external causes. We also identified the social problem, which is a steadily high rate of mortality from external causes in a certain group of regions. We found that the impact of federal social policies on the reduction of rural mortality from external causes is asymmetric in the regions of different types. On the basis of our cluster analysis we developed taxonomy of Russian regions according to the pattern of external causes of rural mortality, formed seven groups of Russian regions and characterized them. The hypotheses were statistically tested by making a correlation, regression and factor analyses. We estimated the regression models that had been constructed for Russia in general and for two types of regions (with the highest and the lowest mortality from external causes) separately and included economic, social and behavioral explanatory variables, which made it possible to identify the determinants of rural mortality from external causes and describe their spatial combinations. The results of the analysis and modeling of spatial differences in the pattern of external causes of rural mortality can be used when developing regional programs for reducing mortality from external causes of death. This study is supported by the Russian Foundation for Basic Research (project # 12-06-00012). JEL Classification: R1, J1, I1 Keywords: Russian regions, rural population, mortality, external causes, taxonomy, regression analysis, regional data, determinants, social policy

Suggested Citation

  • Tatiana Blinova, 2014. "Rural Mortality from External Causes in Russian Regions," ERSA conference papers ersa14p732, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa14p732
    as

    Download full text from publisher

    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa14/e140826aFinal00732.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Kunst, A.E. & Mackenbach, J.P., 1994. "The size of mortality differences associated with educational level in nine industrialized countries," American Journal of Public Health, American Public Health Association, vol. 84(6), pages 932-937.
    2. Mansfield, C.J. & Wilson, J.L. & Kobrinski, E.J. & Mitchell, J., 1999. "Premature mortality in the United States: The roles of geographic area, socioeconomic status, household type, and availability of medical care," American Journal of Public Health, American Public Health Association, vol. 89(6), pages 893-898.
    3. Shkolnikov, Vladimir M. & Leon, David A. & Adamets, Sergey & Eugeniy Andreev & Deev, Alexander, 1998. "Educational level and adult mortality in Russia: An analysis of routine data 1979 to 1994," Social Science & Medicine, Elsevier, vol. 47(3), pages 357-369, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Russian regions; rural population; mortality; external causes; taxonomy; regression analysis; regional data; determinants; social policy R1; J1; I1;

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • I1 - Health, Education, and Welfare - - Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wiwrsa:ersa14p732. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier). General contact details of provider: http://www.ersa.org .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.