Statistical scenario of labor productivity development in dairy cattle breeding of the Bryansk region

Abstract

   Relevance. In the context of deglobalization, economic sanctions, and the disintegration of the world economy, the most important socio-economic and political task is to ensure the food and economic security of Russia and its regions. In connection with the new demands of practice caused by the formation of the market mechanism of management, changes in the forms and methods of state support for dairy cattle farming, further research of the problem of increasing the productivity of the industry is required.   Methods. The information base of the study was the materials of regional statistics, annual reports of agricultural organizations of the regional agro-industrial complex, data from the consolidated annual report on the totality of the districts of the Bryansk region. The study was conducted on the basis of studying mass data using a set of methods: dialectical, economic-statistical, correlation-regression, computational-constructive, abstract-logical and other methods.   Results. Using statistical methods, the authors evaluated the established patterns and trends in the dynamics of labor productivity in dairy cattle farming in the Bryansk region. The growth rates of wages and labor productivity have been determined. The strategy of development of the studied indicator in the future, taking into account the factors affecting its level, is revealed. Significant factors of labor productivity growth in dairy cattle farming are the selling price of 1 ts of milk, the load of cows on 1 operator of machine milking, the stock of labor, the average monthly salary of the operator of machine milking. At the same time, the main reserves of labor productivity growth are laid down in the factors of wages and workload of dairy cattle workers. In the work, based on a multiple regression model, a forecast of labor productivity for the medium term is carried out.