In the context of high energy intensity of the country's economy, contributing to a decrease in the industry competitiveness of the Russian Federation, it is relevant to develop scientific approaches to energy efficiency provision. The article is aimed at stimulating the optimal structure of electric power generation in Russia, promoting energy conservation and lowering energy intensity of the economy. The Cobb-Douglas production function was used to determine the dependence of the gross electric output on such production factors as labor costs and capital. Based on the expert evaluation method, the sources of electricity generation were differentiated according to the level of labor intensity. An optimization model has been developed for electric power generation structure in Russia in the context of actual energy generation sources: Nuclear power plants; natural gas fired thermal power plants, coal and fuel oil fired power plants; hydropower plants; solar power plants; wind power plants; tidal power plants; and biofuel power plants. The percentage changes in the consumption of energy resources and power generation, ensuring a decrease in the energy intensity of the Russian Gross Domestic Product by 19.1%, are argued. The system of optimization measures has been substantiated; their practical implementation will contribute to the steady decline in energy intensity of the Russian economy, effective energy consumption and the growth of the country's energy potential, with regard to ensuring structural changes in the energy sector.

The main idea of this article is the justification of the necessity and the creation of conditions for attracting investments in economic entities of agrarian and agro-industrial production. The authors consider topical issues of increasing the investment attractiveness of industries and businesses in agro-industrial production of the subsidized region at the federal and regional levels. The authors note that ensuring the food security of the administrative district, the region and the country as a whole largely depends on the solution of this largescale task. The forms, methods and mechanisms affecting the activation and inflow of investment and financial resources into agro-industrial production are exemplified by the subjects of the North Caucasus Federal District (in particular, the Chechen Republic). The subject of the study is the organizational-economic relations connected with increasing the investment attractiveness of the agrarian sector and agro-industrial production. The article gives authors' definition of the economic category of the "investment attractiveness". The results can be used by the government of agro-industrial production of subsidized subjects of Russia in the development and implementation of regional agricultural development programs and regulation of markets for agricultural products, raw materials and food, as well as social development of rural areas.

The slowdown in agricultural growth in Russia determines the development of an innovation base for expanding exports. Therefore, the formation of a new social class of farmers-entrepreneurs, focused on the implementation of innovative activities, becomes relevant. The aim of the study was to develop an econometric model for assessing the economic types of farmers-entrepreneurs according to the system “innovator versus conservative” using the example of the agro-industrial complex. The questionnaire method was used to determine the levels of innovative development of the respondents. The survey was conducted from October 2017 to December 2019; 900 farmers from Tver, Kursk, Tambov, Penza, Arkhangelsk, Kurgan, Leningrad regions, as well as Yakutia took part in it. Using the method of cluster analysis, all classes (categories) of farmers-entrepreneurs are determined by the level of innovation. Depending on the type of enterprise, classification functions of farmers have been developed

According to the Rosstat data a share of agricultural organizations which introduce technological innovations is low (2.7%). The study aims to determine the density of agricultural robotization in Russia and its regions. The density of agricultural robotization is influenced by the average annual number of employees in the industry, which was 5802 thousand people in 2013-2019 and decreased by 22% over the studied period. The data show that 435 units of robotics were introduced in agricultural organizations in the Russian Federation in 2006-2019. The vast majority of robotics used in agriculture in Russia is milking robots mainly by European manufacturers. Robotics is used in the agricultural sector in the Central (185 units), Volga (95 units), NorthWest (66 units) and Ural (68 units) federal districts. The introduction of robotics in agriculture in the Southern, Siberian and North Caucasian federal districts is practically not carried out. The highest density of agricultural robotization is observed in the Kaluga (42.67 robots per 10 thousand employees in the industry), the Ryazan (14.8), the Sverdlovsk (6.32) and the Vologda Region (6.21). The results of the study will allow development of a mechanism that promotes priority robotization of rural areas where robotization is slow or is not carried out to prevent their technological lagging behind and the further development of a stagnation processes. The scientific significance of the research results will contribute to the development of theoretical aspects of robotics application in agriculture and the spatial aspects of robotization

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