Mathematical Modeling and Information Technologies for the Analysis of Economic Processes

  • Ivan V. Sergienko
Part of the Springer Optimization and Its Applications book series (SOIA, volume 78)


We consider information technologies that include the following interindustry aggregated balance models to identify the main lines of structural and technological changes: economic dynamics given imperfect competition in the labor market; optimal servicing of the public debt of Ukraine; planning of regional budgets and allocation of intergovernmental transfers; and sustainable environmental, social–institutional, and economic development of the society. To carry out calculations with these models, numerical algorithms were selected, modified, and improved, and computer programs were created for SCIT supercomputers. The chapter analyzes the influence of the own resources of regions and interbudgetary transfers on funding three major social programs: education, health, and social protection. A number of hypotheses and proposals concerning the optimization of the system of intergovernmental transfers are formulated. The redistributive properties of the system of intergovernmental transfers in Ukraine are investigated.


Labor Market Labor Supply Planning Horizon Transition Economy Labor Demand 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 3.
    Zgurovsky, M.Z.: Analysis of Sustainable Development: Global and Regional Contexts, Pt. 1, Global Analysis of the Quality and Safety of Human Life [in Ukrainian]. ICSU, NTUU KPI, Kyiv (2010)Google Scholar
  2. 25.
    Vernadsky, V.I.: A few words about the noosphere. Uspekhi Sovrem Biologii, No. 18, No. 2, 113–120 (1944)Google Scholar
  3. 55.
    Hulianytskyi, L.F.: Modeling and control of the external public debt of Ukraine. In: Trans. 4th Intern. School–Seminar on Decision Theory (Uzhgorod, 29 Sep–4 Oct 2008), UzhNU, Uzhgorod, pp. 72–75 (2008)Google Scholar
  4. 56.
    Hulianytskyi, L.F., Melashchenko, A.O., Sirenko, S.I.: Mathematical tools and software for modeling and optimization of the external public debt of Ukraine. Upravl. Sist. Mash., No. 1, 51–57 (2010)Google Scholar
  5. 57.
    Gulyanitskii, L.F., Sergienko, I.V.: Metaheuristic downhill simplex method in combinatorial optimization. Cybern. Syst. Anal 43(6), 822–829 (2007)CrossRefzbMATHMathSciNetGoogle Scholar
  6. 75.
    Zgurovsky, M.Z., Boldak, A.A.: System adjustment of data of various nature in multidisciplinary research. Cybern. Syst. Anal 47(4), 546–556 (2011)CrossRefGoogle Scholar
  7. 112.
    Mikhalevich, V.S., Mikhalevich, M.V.: Dynamic pricing macromodels for a transition economy. Cybern. Syst. Anal 31(3), 409–420 (1995)CrossRefzbMATHMathSciNetGoogle Scholar
  8. 114.
    Mikhalevich, V.S., Sergienko, I.V.: Modeling of Transition Economy: Models, Methods, Information Technologies [in Russian]. Naukova Dumka, Kyiv (2005)Google Scholar
  9. 115.
    Mikhalevich, M.V., Koshlai, L.B.: Labor market modeling using a labor supply function of two arguments. Cybern. Syst. Anal 46(5), 699–709 (2010)CrossRefMathSciNetGoogle Scholar
  10. 119.
    Nikaido, H.: Convex Structures and Economic Theory, Mathematics in Science and Engineering Series. Academic, New York (1968)Google Scholar
  11. 128.
    Pomerantseva, T.V., Boldak, A.A.: Multivariate statistical analysis of the influence of global threats on the security of countries of the world. Cybern. Syst. Anal 46(2), 200–210 (2010)CrossRefGoogle Scholar
  12. 136.
    World Data Center for Geoinformatics and Sustainable Development.
  13. 137.
    Semenov, V.V., Semenova, N.V.: The progressivity of tax systems. Zovn. Torgivlya: Ekonomika, Financy, Pravo, No. 2, 69–75 (2011)Google Scholar
  14. 138.
    Semenov, V.V.: Economic–Statistical Models and Methods for the Analysis of Social Processes: Inequality, Poverty, Polarization, vol. 1. Inequality [in Ukrainian]. RVV PUSKU, Poltava (2008)Google Scholar
  15. 155.
    Sergienko, I.V., Mikhalevich, M.V., Stetsyuk, P.I., Koshlai, L.B.: Models and information technologies for decision support during structural and technological changes. Cybern. Syst. Anal 45(2), 187–203 (2009)CrossRefzbMATHMathSciNetGoogle Scholar
  16. 170.
    Shor, N.Z.: Minimization Methods for Nondifferentiable Functions and Their Applications [in Russian]. Naukova Dumka, Kyiv (1979)Google Scholar
  17. 181.
    Duglas, E., Critchlow, A.: On rank statistics: an approach via metrics on the permutation group. J. Stat. Plann. Infer 32(3), 325–346 (1992)CrossRefGoogle Scholar
  18. 204.
    The world factbook. Country comparison: public debt. http://www.cia.Gov/library/publications/the-world-factbook/rankorder/
  19. 207.
    Zgurovsky, M.Z., Gvishiani, A.D., Yefremov, K.V., Pasichny, A.M.: Integration of the Ukrainian science into the world data system. Cybern. Syst. Anal 46(2), 211–219 (2010)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ivan V. Sergienko
    • 1
  1. 1.V. M. Glushkov Cybernetics InstituteNational Academy of Sciences of UkraineKievUkraine

Personalised recommendations