Open AccessINDICATORS OF ECONOMIC DEVELOPMENT OF REGIONS AND ROBOTIZATION OF AGRICULTURE
Author(s) -
В.И. Набоков,
Egor Skvorcov,
N. K. Pryadilina
Publication year - 2021
Publication title -
russian journal of management
Language(s) - English
Resource type - Journals
eISSN - 2500-1469
pISSN - 2409-6024
DOI - 10.29039/2409-6024-2020-8-4-161-165
Subject(s) - agriculture , christian ministry , ranking (information retrieval) , agribusiness , productivity , agricultural economics , robot , agricultural science , robotics , business , regional science , operations management , economy , computer science , geography , economic growth , engineering , artificial intelligence , economics , political science , environmental science , archaeology , law
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.