Application of Statistical Methods in Assessing the Role of Agriculture in the Formation of Regional Income

Abstract

In the new conditions of digitalization of the economy, the issue of the operational analysis of economic processes in various spheres of the economy acquires particular relevance. A feature of proposed methodology is taking into account a large number of various factors that affect income in the agricultural sector. The author’s approach to improving the analysis is based on the use of econometric modeling to justify the directions of state agrarian policy. Regions of the Russian Federation were considered as an object of the research. As a result, there were distinguished some groups of regions that differ in soil, climatic and economic conditions of management, and in the efficiency of the agricultural sector. So, in regions with unfavorable agricultural conditions, the agricultural sector is ineffective even if additional investments are engaged. Nevertheless, given the low population density, the industry needs state support as the most important area of rural development. For regions producing a significant volume of agricultural products, government support of the industry is required for providing social stability. And for the growth of gross value added, it is necessary to pursue a policy of reducing the disparity in prices between agricultural and industrial products. In the most developed regions from the point of view of agricultural efficiency, the role of the state is to maintain their investment appeal, since they effectively use the available resources.