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Mechanisms for the identification of business cycles of regional economic systems based on cross-correlation analysis

El'shin L.A. University of Management TISBI, Kazan, Republic of Tatarstan, Russian Federation ( )

Journal: Regional Economics: Theory and Pactice, #8, 2017

Subject The article deals with the issues of regional business activity and search for mechanisms that promote objective perception and evaluation of this kind of activity.
Objectives The article aims to test the business model mechanisms of regional economic system and develop predictive assessments of the industrial development of the region and the national economy as a whole.
Methods The article uses the methods of cross-correlation analysis, statistical analysis, and some other special methods.
Results The article introduces methodological approaches to diagnosing the business activity of regional economic systems (the Republic of Tatarstan as a case study) and the development of projections of key macroeconomic parameters of the Republic of Tatarstan and the Russian Federation up to 2017.
Conclusions and Relevance For the time being, the factors that characterize the adjustments in the stock and financial markets have the greatest impact on the region's business activity. The results of the study reveal a positive trend in business development in the Republic of Tatarstan in 2016, which suggests that the economic growth should be revived in 2017. The results obtained can be useful for the public administration when developing short-term projections of the socio-economic development of the territories.

Mechanisms and methods for statistical analysis and tracing of shifts in phases of cyclical development of the economy under increased uncertainty of the institutional and market environment

Safiullin M.R. Kazan Federal University, Kazan, Republic of Tatarstan, Russian Federation ( )

El'shin L.A. Kazan Federal University, Kazan, Republic of Tatarstan, Russian Federation ( )

Prygunova M.I. Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan, Republic of Tatarstan, Russian Federation ( )

Journal: National interests: priorities and security, #10, 2016

Importance Contemporary socio-economic systems develop in cycles. Those cyclical changes concern various aspects and levels of the economic system, its structure, thus outlining certain patterns. Considering economic globalization, regionalization, formation of complicated and mobile dynamic structures generating crisis phenomena, it is very reasonable to focus on the issue of contemporary regulation of cyclical development of economy, which becomes very difficult to resolve with classical methods of the cyclical theory.
Objectives The research scientifically confirms, verifies and tests the model of cyclical fluctuations that is based on such factors that would be very vulnerable to changes in the external and internal environment of the economic system.
Methods The research involves a technique that relies upon a factor-based approach and methods of statistical analysis and forecast and taxonomic method in particular.
Results We devised an algorithm to assess and evaluate cyclical fluctuations, which would allow identifying the upward and downward phases of economic cycles no matter whether they enter the positive or negative zone of priority development indices. This algorithm helps to make short-term forecasts, one to two years ahead of the current path of economic development of the national economy.
Conclusions and Relevance As the analysis shows, short-term cycles of the Russian economy somewhat different from conventional short-term Kitchin cycles, which reoccur every two to four years. The time of economic cycles in the Russian Federation has a very broad range, depending on adjusting activities of governmental authorities, and increased volatility of market conditions.

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