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The Forecasting of Regional Social and Economic Development

Author

Listed:
  • Robert Nizhegorodtsev

  • Elena Piskun

    (Sevastopol State University)

  • Viktoria Kudrevich

    (Sevastopol State University)

Abstract

At present, the Russian economic situation is characterized by significant imbalances in regional development. So, the forecasting of the indexes of regional social and economic development has become especially relevant. The authors offer a technique of the forecasting of regional social and economic development, it consists of two blocks. The first one is the estimation and forecasting of the level of regional social and economic development. For the purposes of this block, we applied a method of development level and some adaptive methods. The informative basis is the data on the social and economic development of the Republic of Crimea. The change of the integrated index’s growth rate, which is used for the inertial and realistic scenarios, defined the conclusions on the regional socio-economic development. The second block of this technique includes the estimation and forecasting of the social and economic state of considered region. This block is based on the methods of cluster, discriminate and adaptive analyses. The information basis is the data of the social and economic situation of 79 Russian regions for the last 14 years. On the basis of cluster analysis, we divide all Russian regions into two clusters according to their social and economic position. Discriminate models allowed to determine the prospective rate of the Republic of Crimea. The adaptive methods made possible the identification of the researched region to a certain cluster. In the article, the presented models support a complex estimation of the level of regional socio-economic development in the current forecast period and can be considered as a tool of decision-making support at the multivariate scenario analysis of the regional development strategy.

Suggested Citation

  • Robert Nizhegorodtsev & Elena Piskun & Viktoria Kudrevich, 2017. "The Forecasting of Regional Social and Economic Development," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 38-48.
    • Handle: RePEc:ura:ecregj:v:1:y:2017:i:1:p:38-48
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    References listed on IDEAS

    as
    1. Pierre-Olivier Gourinchas & Hélène Rey, 2013. "External Adjustment, Global Imbalances and Valuation Effects," NBER Working Papers 19240, National Bureau of Economic Research, Inc.
    2. Breandán Ó hUallacháin & Timothy F. Leslie, 2007. "Rethinking the regional knowledge production function," Journal of Economic Geography, Oxford University Press, vol. 7(6), pages 737-752, November.
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    Cited by:

    1. K. G. Sorokozherdyev & K. A. Khodosov, 2020. "The Influence of the Regional Sectoral Structure on the Socio-Economic Development of Primorye Region," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(1), pages 60-78.
    2. Tatiana Ladykova & Vladimir Bersenyov, 2018. "Typology of Macroeconomic Parameters of Population Income," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 380-394.

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    Keywords

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    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C - Mathematical and Quantitative Methods

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