Using the Economic, Mathematical and Statistical methods in the Study of Mesoeconomic Dynamics

Abstract

The article is aimed at practical applying the instrumentarium of economic, mathematical and statistical methods to improve the efficiency of managerial decisions in the context of the development of region. The article examines the components of regional development, defines indicators that characterize the status of the specified components, and provides their dynamics for the period of 2006-2018. Using the instrumentarium of correlation analysis, the density of the link between these indicators and the gross regional product (GDP) as an indicator of regional development is defined. The most influencing factors of regional development are discovered, providing an opportunity to substantiate the directions of dynamic positive mesoeconomic transformations. In particular, it is noted that the change in the real GDP index is most affected by the level of employment of the population, the share of innovative technologies introduced in the region during the relevant period, as well as the volume of consumption of fixed capital. In other words, the most influencing and controlled factors in regional development determine the amount of labor and capital resources involved, as well as the level of technological order. Using the regression analysis, a model of regional development has been built, with the independent variables being the previously identified factors that cause the most significant influence. It is proved that this model meets the criterion of adequacy, and therefore can be used in the subsequent forecast calculations to substantiate the decisions regarding the economic development of Luhansk region.

Keywords

• economic-mathematical methods
• statistical methods
• mesoeconomic dynamics
• correlation-regressive analysis
• decision-making