Effectiveness of Assessment Methodology for Forecasting Sustainable Development of Russian Regions

  • Inna Kulalaeva
  • Evgeny Tsaregorodtsev
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

The article addresses the following issues: development of the methods for calculating the effectiveness of the investment process, taking into account the delay in putting the assets into operation; creation of a program for the development of а subsidized region and determination of the necessary volume of investment in the innovative development of industries by the method of simulation modeling; building of macroeconomic models, taking into account the innovative component for estimating and forecasting the GDP of the Russian Federation and the GRP of Federal Regions and the Russian Federation regions on the basis of multiplicative production functions, considering the delay in putting the assets into operation; economic analysis of the statistical estimates of the parameters of the built models; and the most widespread R. Solow’s model in which the rate of the labor force size growth is an exogenous magnitude, the technological level is unchanged, and the return from the two factors of production – labor and capital – is constant. An algorithm for choosing an optimal macroeconomic model for a particular region has been developed. It is planned to build macroeconomic models, taking into account the innovative component for estimating and forecasting the GDP of the Russian Federation and GRP over Federal Regions and the Russian Federation regions on the basis of multiplicative production functions, taking into consideration the delay in putting the assets into operation; it is also planned to analyze the statistical estimates of the built models.

Notes

Acknowledgments

The research is supported by the Russian Science Foundation Grant № 16-18-10017 “A Complex of Programs for Forecasting Regional Economic Development.”

References

  1. DeGregori TR (2012) Development economics: theory, practice, and prospects. Springer Science & Business Media, LuxembourgGoogle Scholar
  2. Enke S (1945) Consumer cooperatives and economic efficiency. Am Econ Rev 35:148–155Google Scholar
  3. Hahn F, Matthews R (1964) The theory of economic growth: a survey. Econ J 74:779–901CrossRefGoogle Scholar
  4. Kanyugin OI, Kulalaeva IV (2016) Economic indicators of the energy sector of the republic of Mari El and the impact of tariffs (prices) on improving energy efficiency. Acute Probl Mod Russ Econ 3:210–215Google Scholar
  5. Kolemayev VA (2005) Economic and mathematical modeling. Modeling of macroeconomic processes and systems: a textbook for university students enrolled in specialty 061800 “Mathematical methods in economics”. UNITY-DANA, MoscowGoogle Scholar
  6. Kulalaeva IV (2016) The forecasting method is the key to success. Acute Probl Mod Russ Econ 3:78–82Google Scholar
  7. Kulalaeva IV, Birukova IV, Sabirov AA, Chernov AM, Kaniugin OI, Ter-Israelyan AM, Tsaregorodtsev EI (2016a) Management of the development of regional clusters. Soc Sci 11:1741–1746Google Scholar
  8. Kulalaeva I, Kreneva S, Kanyugin O (2016b) Theoretical aspects of influence of the share of savings to the trend of economic growth at the institutional turbulent macroeconomic environment. Innov Sci 1(13):108–111Google Scholar
  9. Kulalaeva IV, Kokotkina TN, Sadovin NS, Tsaregorodtsev EI (2017) Methods of forecasting of economic development of the region. In: Chigisheva OP (ed) Grant research and scientific and educational activity: purposes, technologies, results. International Research Centre “Scientific Cooperation”, Rostov-on-Don, pp 33–61Google Scholar
  10. Michel P, Pestieau P (1993) Croissance Optimale avec Popuiation Fluctuante. Rev Econ 44(3):615–624Google Scholar
  11. Nelson RE (1989) The strength of strong tier: modal networks and intergroup conflict in organization. Acad Manag J 32:377–401CrossRefGoogle Scholar
  12. Sadovin NS, Kokotkina TN (2014) Analysis of human potential influence on housing market of the Republic of Mari El. Proc Free Econ Soc Russ 189:363–368Google Scholar
  13. Sadovin NS, Koroleva EL (2010) Macroeconomic models of analysis and forecasting of social and economic development of the region. Sci Works Free Econ Soc Russ Collect Sci Artic 137:4514–4555Google Scholar
  14. Solow RM (1957) Technical change and the aggregate production function. Rev Econ Stat 39(3):312–320CrossRefGoogle Scholar
  15. Tsaregorodtsev EI, Sayranova MV (2015) Economic potential of development of social and economic systems of the region. MarSU, Yoshkar-OlaGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Inna Kulalaeva
    • 1
  • Evgeny Tsaregorodtsev
    • 1
  1. 1.Mari State UniversityYoshkar-OlaRussian Federation

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