FORECASTING OF SOCIAL AND ECONOMIC DEVELOPMENT OF THE REGION (ON THE EXAMPLE OF BELGOROD REGION)


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Abstract

The current stage of economic development requires the use of science-based economic solutions that increase the efficiency of socio-economic development of the region. The impact of various factors on the final result can be estimated using the economic and statistical methods. Their application makes it possible to analyze the studied statistical indicators, build a model and calculate the predicted values on the basis of the obtained data. Economic forecasting is based on the study of the most important principles of the economic processes of expanded reproduction. The quality of the forecast and the success of the strategy formulated on its basis directly affect the effectiveness of decisions at the regional and state levels. The Belgorod region, an actively developing region, was chosen as the object of research. The paper notes that the main indicator characterizing the development potential of the region is the gross regional product (GRP) per capita. On the example of the Belgorod region, using the correlation and regression analysis and the extrapolation method, the authors constructed multifactor models of socio-economic development of the region. At the first stage of the study, factors were selected for inclusion in the model. Among the many factors influencing the dynamics of the effective feature, it is revealed that the strongest impact is made by the consolidated budget revenues and the average annual number of employees in the economy. During the assessment of the adequacy of the constructed models, a comparative analysis was carried out and a regression model of the power function was recommended as a statistically significant one. At the second stage, trend models are constructed and separate forecast values for each factor are obtained. The use of these models allowed building a forecast of GRP per capita with a fairly high degree of accuracy. The results of the study indicate the sustainable development of the Belgorod region.

About the authors

Irina Nikolaevna Titova

Belgorod State National Research University, Belgorod

Author for correspondence.
Email: titova@bsu.edu.ru

senior lecturer of Chair of Management and Marketing

Russian Federation

Anastasiya Sergeevna Glotova

Belgorod State National Research University, Belgorod

Email: glotova@bsu.edu.ru

PhD (Economics), assistant professor of Chair of Economics and Modeling of Production Processes

Russian Federation

References

  1. Aksyanova A.V., Khayrutdinova Yu.V. Forecasting development of the socio-economic sphere of the region. Vestnik Kazanskogo tekhnologicheskogo universiteta, 2011, no. 20, pp. 305–310.
  2. Bateykin D.V. Modern aspects of the theory and practice of forecasting of socio-economic development of regions. Novaya nauka: sovremennoe sostoyanie i puti razvitiya, 2016, no. 1-1, pp. 59–63.
  3. Ketova K.V., Kasatkina E.V., Nasridinova D.D. Forecasting of indicators of the region's socio-economic development. Economic and Social Changes: Facts, Trends, Forecast, 2013, no. 4, pp. 93–107.
  4. Kukarskaya L.I. Current issues of forecasting the regional socio-economic development in the strategizing context. Vestnik Altayskoy akademii ekonomiki i prava, 2013, no. 1, pp. 45–49.
  5. Nizhegorodtsev R.M., Piskun E.I., Kudrevich V.V. The Forecasting of Regional Social and Economic Development. Ekonomika regiona, 2017, vol. 13, no. 1, pp. 38–48.
  6. Khank D.E., Uichern D.U., Rayts A.Dzh. Biznes-prognozirovanie [Business forecasting]. 7th ed. Moscow, Vilyams Publ., 2003. 656 p.
  7. Takha Khemdi A. Vvedenie v issledovanie operatsiy [Introduction to operations research]. 7th ed. Moscow, Vilyams Publ., 2005. 912 p.
  8. Mur D., Uederford D.R., Ellen G., Guld F., Shmidt Ch. Ekonomicheskoe modelirovanie v Microsoft Excel [Decision modeling with Microsoft Excel]. 6th ed. Moscow, Vilyams Publ., 2004. 1024 p.
  9. Dreyper N., Smit G. Prikladnoy regressionnyy analiz [Applied regression analysis]. 3rd. ed. Moscow, Vilyams Publ., 2007. 912 p.
  10. Zykova N.N. Russian Federation Management of Socio-Economic Processes at Regional Level. Ekonomika i upravlenie, 2014, no. 8, pp. 78–83.
  11. Neveykina N.V. Indicators of the assessment of management efficiency region development. Region: sistemy, ekonomika, upravlenie, 2012, no. 4, pp. 24–30.
  12. Volkova E.N., Karmanov M.V. Simulation of socio-economic development of regions. Ekonomika, statistika i informatika. Vestnik UMO, 2016, no. 3, pp. 55–59.
  13. Yashchenko A.V. The algorithm of designing the socio-economic development of the region. Voprosy ekonomiki i prava, 2012, no. 53, pp. 100–103.
  14. Pridvorova E.S. Prediction socio-economic development of the region (example of the Belgorod region). Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Seriya: Ekonomika. Informatika, 2013, no. 1, pp. 5–14.
  15. Tinyakova V.I. Adaptive-rational forecasting of indicators of social and economic development of the region. Vestnik Chelyabinskogo gosudarstvennogo universiteta, 2007, no. 10, pp. 78–86.
  16. Bazhin A.N., Gusarova O.M. Socio-economic development of the region: indicators, model, problem. Mezhdunarodnyy studencheskiy nauchnyy vestnik, 2017, no. 6, pp. 78–84.
  17. Nizhegorodtsev R.M., Petukhov N.A. The Regressional Analysis of Main Factors Impact for General Regional Product (the Example of North-West Federal Macroregion of Russia). Problemy ekonomiki (Kharkov), 2011, no. 1, pp. 17–21.
  18. Novitskaya E.G. The Main factors of forecasting GRP of Grodno region. Ekonomika i upravlenie, 2014, no. 1, pp. 111–115.
  19. Okhlopkov G.N. Forecast calculations accuracy analysis of gross regional product based on forecast models. Vestnik Severo-Vostochnogo federalnogo universiteta im. M.K. Ammosova, 2013, vol. 10, no. 1, pp. 34–38.
  20. Territorial body of the Federal state statistics service of the Belgorod region. Federalnaya sluzhba gosudarstvennoy statistiki. URL: belg.gks.ru/.

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