Distributed Ledger Technology (DTL) is a leading technologies in the current “digital revolution”. The new technology is a real boon for the national forest sector. It may bring the Russian forest sector to the forefront of competitiveness and efficiency. However, the internal shortcomings, dangers, and threats of the new technology should be timely studied and eliminated. The “digit” is as strong as nuclear power. It is able to bestowhumanity or cause a global catastrophe if mishandled andmistreated. This fully applies to the forestry sector.
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
The processes of robotization of production occur in various industries, including such a conservative industry as agriculture. The aim of the study is to identify the territorial patterns of robotization of agriculture in the regions in relation to the indicators of their economic development. Regression analysis and Internet screening were used as research methods. Regional offices of the Ministry of Agriculture and Agribusiness provided data on the use of 435 units of robots used in the industry. In general, in the Russian Federation, the density of robotization of agriculture was 0.7497 robots per 10 thousand people employed in the industry. The density of robotization of agriculture by federal districts and regions was determined and the corresponding ranks were assigned to them. The author's methodology for ranking regions by robotization density is proposed, which is proposed to be divided into regions with high (over 3.0 robots per 10 thousand working in the industry), medium (from 0.75 to 3.0) and low density (less than 0.75 ) robotization. The average level of correlation between the gross agricultural output and the number of implemented robots was revealed (0.63). A high correlation is observed between labor productivity in agriculture and the number of implemented robots (0.78). There is a negative correlation between the share of agriculture in the gross value added of the regions and the amount of robotics used (-0.52) and the density of robotization (-0.59). This may indicate that robotics is used to a lesser extent in regions with traditionally developed agriculture. In the future, this may cause a technological lag in regions with a high share of agriculture, which must be taken into account by the executive authorities when developing programs for the innovative development of the industry.
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