IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v34y2023i4d10.1134_s1075700723040056.html
   My bibliography  Save this article

On Assessment Indicators for Russia’s Demographic Security

Author

Listed:
  • V. V. Eremin

    (Financial University under the Government of the Russian Federation)

  • S. A. Pobyvaev

    (Financial University under the Government of the Russian Federation)

  • S. N. Sil’vestrov

    (Financial University under the Government of the Russian Federation)

Abstract

— The article considers the issues of creating assessment indicators for national demographic security for the purposes of governance decision-making. The result of the study is the calculation of a generalized indicator that characterizes the status of demographic security of the Russian Federation based on statistical data and querying 40 experts. The values established for the indicator for the period 2000–2021 are negative (with the exception of 2008–2012), which is associated with a low birth rate and negative influence of other factors on the demographic situation in Russia. Factor analysis of changes of the generalized demographic indicator for the beginning of the period of improvement of its values (2007–2008) confirms this conclusion. A target value for the indicator is proposed and substantiated; it can be used for comparison with estimates of actual values and for factor analysis that aims to identify main obstacles to achieving that target value. The presented calculations of demographic security assessment are an example application of the proposed methodology, which can be used to calculate generalized indicators for any area of Russia’s national security.

Suggested Citation

  • V. V. Eremin & S. A. Pobyvaev & S. N. Sil’vestrov, 2023. "On Assessment Indicators for Russia’s Demographic Security," Studies on Russian Economic Development, Springer, vol. 34(4), pages 500-506, August.
    • Handle: RePEc:spr:sorede:v:34:y:2023:i:4:d:10.1134_s1075700723040056
    DOI: 10.1134/S1075700723040056
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700723040056
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1134/S1075700723040056?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fuad Aleskerov & Hasan Ersel & Reha Yolalan, 2004. "Multicriterial Ranking Approach For Evaluating Bank Branch Performance," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 321-335.
    2. De Smet, Yves & Montano Guzman, Linett, 2004. "Towards multicriteria clustering: An extension of the k-means algorithm," European Journal of Operational Research, Elsevier, vol. 158(2), pages 390-398, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fernandez, Eduardo & Navarro, Jorge & Bernal, Sergio, 2010. "Handling multicriteria preferences in cluster analysis," European Journal of Operational Research, Elsevier, vol. 202(3), pages 819-827, May.
    2. Li, Hui & Sun, Jie, 2009. "Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II," European Journal of Operational Research, Elsevier, vol. 197(1), pages 214-224, August.
    3. San Martín Albizuri, Nerea & Rodríguez Castellanos, Arturo, 2008. "¿Reflejan los índices de riesgo país las variables relevantes en el desencadenamiento de las crisis externas? Un análisis sobre el periodo 1994-2001," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    4. Khaled Belahcène & Vincent Mousseau & Wassila Ouerdane & Marc Pirlot & Olivier Sobrie, 2023. "Multiple criteria sorting models and methods—Part I: survey of the literature," 4OR, Springer, vol. 21(1), pages 1-46, March.
    5. Juan Carlos Leyva Lopez & Jesus Jaime Solano Noriega & Diego Alonso Gastelum Chavira, 2017. "A Multi-Criteria Approach to Rank the Municipalities of the States of Mexico by its Marginalization Level: The Case of Jalisco," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 473-513, March.
    6. Chakhar, Salem & Ishizaka, Alessio & Thorpe, Andy & Cox, Joe & Nguyen, Thang & Ford, Liz, 2020. "Calculating the relative importance of condition attributes based on the characteristics of decision rules and attribute reducts: Application to crowdfunding," European Journal of Operational Research, Elsevier, vol. 286(2), pages 689-712.
    7. Sarah Ben Amor & Fateh Belaid & Ramzi Benkraiem & Boumediene Ramdani & Khaled Guesmi, 2023. "Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda," Annals of Operations Research, Springer, vol. 325(2), pages 771-793, June.
    8. Sarrazin, R. & De Smet, Y. & Rosenfeld, J., 2018. "An extension of PROMETHEE to interval clustering," Omega, Elsevier, vol. 80(C), pages 12-21.
    9. Meyer, Patrick & Olteanu, Alexandru-Liviu, 2013. "Formalizing and solving the problem of clustering in MCDA," European Journal of Operational Research, Elsevier, vol. 227(3), pages 494-502.
    10. Burkina Natalia V. & Naumova Maryna A., 2014. "Application of Distribution-free Methods of Study for Identifying the Degree of Reliability of Ukrainian Banks," Business Inform, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics, issue 3, pages 104-109.
    11. Piotr Zielniewicz, 2017. "A Ranking Method Based on the Aggregate Distance Measure Function in the Value Space," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 685-710, May.
    12. Pereira, Javier & Contreras, Pedro & Morais, Danielle C. & Arroyo-López, Pilar, 2022. "Multi-criteria ordered clustering of countries in the Global Health Security Index," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    13. Boujelben, Mohamed Ayman, 2017. "A unicriterion analysis based on the PROMETHEE principles for multicriteria ordered clustering," Omega, Elsevier, vol. 69(C), pages 126-140.
    14. Díaz, Raymundo & Fernández, Eduardo & Figueira, José-Rui & Navarro, Jorge & Solares, Efrain, 2023. "A new hierarchical multiple criteria ordered clustering approach as a complementary tool for sorting and ranking problems," Omega, Elsevier, vol. 117(C).
    15. Abascal, E. & Garcia Lautre, I. & Mallor, F., 2006. "Data mining in a bicriteria clustering problem," European Journal of Operational Research, Elsevier, vol. 173(3), pages 705-716, September.
    16. Araz, Ceyhun & Ozkarahan, Irem, 2007. "Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure," International Journal of Production Economics, Elsevier, vol. 106(2), pages 585-606, April.
    17. San-Martín-Albizuri, Nerea & Rodríguez-Castellanos, Arturo, 2012. "Globalisation And The Unpredictability Of Crisis Episodes: An Empirical Analysis Of Country Risk Indexes / La Imprevisibilidad De Los Episodios De Crisis: Un Análisis Sobre Los Índices De Riesgo País ," Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 18(2), pages 148-155.
    18. Chistyakov, V. & Chumakova, K., 2018. "Restoring Indifference Classes via Ordinal Numbers under the Discrete Leximin and Leximax Preference Orderings," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 12-31.
    19. Liu, Jiapeng & Liao, Xiuwu & Zhao, Wenhong & Yang, Na, 2016. "A classification approach based on the outranking model for multiple criteria ABC analysis," Omega, Elsevier, vol. 61(C), pages 19-34.
    20. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.

    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:spr:sorede:v:34:y:2023:i:4:d:10.1134_s1075700723040056. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.