Economic Analysis: Theory and Practice
 

A structural typology of economic systems based on a rank analysis of economic development of the subjects of the Russian Federation

Vol. 17, Iss. 4, APRIL 2018

Received: 25 January 2018

Received in revised form: 15 February 2018

Accepted: 26 February 2018

Available online: 27 April 2018

Subject Heading: ECONOMIC ADVANCEMENT

JEL Classification: C43, O10, R10

Pages: 614–636

https://doi.org/10.24891/ea.17.4.614

Buletova N.E. Volgograd Institute of Management, Branch of RANEPA, Volgograd, Russian Federation
buletovanata@gmail.com

ORCID id: not available

Zlochevskii I.A. Volgograd Institute of Management, Branch of RANEPA, Volgograd, Russian Federation
i_zlochevsky@mail.ru

ORCID id: not available

Importance The article addresses rank distribution of the subjects of the Russian Federation as objects of State management and monitoring, taking into account the results of structural analysis of their economic systems and changing socio-economic situation.
Objectives We focus on determining the content and advantages of applying the method of structural-and-rank analysis of the subjects of the Russian Federation with the diagnostics of condition of their economic systems and the place they occupy in the analyzed population, taking into account the non-linearity of distribution over the rank parameter.
Methods The study employs indicators of the theory of statistics coordination, correlation of methods of structural and rank analysis, typological grouping, nonlinear distribution, effective rank method, and a systems approach.
Results We developed our own algorithm to perform a structural-and-rank analysis, having its own logic and sequence of implementation. The method of structural analysis is fundamental; is rests on cross-cutting comparison of elements of gross value added, and further scaling and classifying the analyzed objects by the level of economic systems' development. The developed method can be considered as a supplement to the methodology of economic analysis. It assesses the results of the State structural economic policy implementation enabling to reliably determine the condition and results of socio-economic development of analyzed systems of any type and scale.
Conclusions Distributing the objects of ranking into separate types based on the results of structural analysis makes the ranking results more accurate while using this approach in the ratings of national and international organizations.

Keywords: structural economic policy, effective rank, nonlinear distribution, typology, classification

References:

  1. Sukharev O.S. Strukturnye problemy ekonomiki Rossii: teoreticheskoe obosnovanie i prakticheskie resheniya [Structural problems of the Russian economy: Theoretical justification and practical solutions]. Moscow, Finansy i statistika Publ., 2010, 192 p.
  2. Krasil'nikov O.Yu. Strukturnye sdvigi v ekonomike sovremennoi Rossii [Structural shifts in the economy of modern Russia]. Saratov, Nauchnaya kniga Publ., 2000, 183 p.
  3. Sukharev O.S., Il'ina O.B. [Analyzing the dynamics of structural changes in the regional economic system of a special economic zone type]. Vestnik YuRGTU (NPI). Ser.: Sotsial'no-ekonomicheskie nauki = Bulletin of South-Russian State Polytechnic University (Novocherkassk Polytechnic Institute). Series: Social and Economic Science, 2012, no. 4, pp. 79–100. (In Russ.)
  4. Sukharev O.S. [The structural analysis and structural changes of the economy of Russia]. Investitsii v Rossii = Investments in Russia, 2013, no. 1, pp. 29–35. (In Russ.)
  5. Aivazyan S.A. Razrabotka i analiz integral'nykh indikatorov kachestva zhizni naseleniya Samarskoi oblasti: monografiya [Development and analysis of integrated indicators of living standards in the Samara oblast: a monograph]. Moscow, CEMI RAS Publ., 2005, 124 p.
  6. Kalinina A.E. [Integral multiple-factor performance evaluation of region administration under the conditions of informatization development]. Vestnik Volgogradskogo gosudarstvennogo universiteta. Ser. 3: Ekonomika. Ekologiya = Science Journal of Volgograd State University. Global Economic System, 2012, no. 1, pp. 75–83. (In Russ.)
  7. Kozakov E.M., Pilyugin E.A. [The method principles of the estimation of the social investment results in the industrial territories]. Ekonomika regiona = Economy of Region, 2008, no. 1, pp. 9–19. (In Russ.)
  8. Filimonenko I.V. [The modeling of the relationship between GDP growth and structural change of employment in the economy of Russia]. Vestnik Novosibirskogo gosudarstvennogo universiteta. Ser.: Sotsial'no-ekonomicheskie nauki = Vestnik of Novosibirsk State University. Series: Social and Economic Sciences, 2011, vol. 11, no. 1, pp. 16–25. (In Russ.)
  9. Khrustalev E.Yu., Slavyanov A.S. [Innovation-oriented evaluation methodology of the status and potential for growth of national economic system]. Politematicheskii setevoi elektronnyi nauchnyi zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta, 2016, no. 115, pp. 98–116. (In Russ.) URL: Link
  10. Klimova N.I., Gafarova E.A. [The choice of parameters for steering the regional economy with panel data models]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2016, no. 1, pp. 183–196. URL: Link (In Russ.)
  11. Gorid'ko N.P., Nizhegorodtsev R.M. [Regressional modeling and forecasting of economic growth Arkhangelsk region]. Ekonomika regiona = Economy of Region, 2012, no. 4, pp. 122–130. (In Russ.)
  12. Mitsek S.A., Mitsek E.B. [Econometric estimates, indexes and rank correlations in the analysis of investments in Russian regions]. Finansy i kredit = Finance and Credit, 2010, no. 12, pp. 17–21. URL: Link (In Russ.)
  13. Shamilev S.R., Shamilev R.V. [The analysis of per capita GRP in the subjects of the North-Caucasian Federal District]. Sovremennye problemy nauki i obrazovaniya, 2011, no. 6. (In Russ.) URL: Link
  14. Bat'kovskii A.M., Trofimets V.Ya., Trofimets E.N. [Developing methods to assess financial and economic state of enterprises of military-industrial complex]. Finansy i kredit = Finance and Credit, 2014, no. 48, pp. 34–45. URL: Link (In Russ.)
  15. Bedash V.V., Gurina R.V. [The method of rank analysis in managing the quality of education]. Mezhdunarodnyi zhurnal eksperimental'nogo obrazovaniya = International Journal of Experimental Education, 2014, no. 7-1, pp. 108–111. (In Russ.)
  16. Lagutkin O.E. [Theory and practice of rank analysis in determining the power consumption parameters]. Elektrika, 2008, no. 9, pp. 43–48. (In Russ.)
  17. Hettmansperger T. Statisticheskie vyvody, osnovannye na rangakh [Statistical Inference Based on Ranks]. Moscow, Finansy i statistika Publ., 1987, 334 p.
  18. Sharkevich I.V., Buletova N.E. Strukturnyi i rangovyi analiz regional'nykh sotsial'no-ekonomicheskikh sistem [Structural and rank analysis of regional socio-economic systems]. Volgograd, Vladimir Branch of RANEPA Publ., 2016, 60 p.
  19. Buletova N.E., Zlochevsky I.A., Sharkevich I.V., Stepanova E.V. Structural Analysis and Criteria for Assessment of State Economic Policy. International Journal of Applied Engineering Research, 2017, vol. 12, no. 17, pp. 6603–6614. URL: Link
  20. Buletova N.E., Sharkevich I.V. [State structural economic policy: Regional level of structural analysis and development trends]. ETAP: ekonomicheskaya teoriya, analiz, praktika = ETAP: Economic Theory, Analysis, Practice, 2017, no. 6, pp. 57–66. (In Russ.)

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