Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 24 ISSUE 3
Written by Ivan SANDU, Elena DERUNOVA, Anton VORONOV, Nikolay ZAVIVAEV
Achieving technological independence from imported technologies and innovative products for the agricultural sector of the Russian economy is becoming especially relevant. The purpose of this study is to assess the balance of institutional elements of the system of scientific support and commercialization of innovations in the agricultural sector of economics and science, government, agribusiness, marketing and informatization using fuzzy cognitive models. Based on the application of cognitive modeling methods, relationships were identified between these elements for 16 different indicators included in the subsystems: educational potential, digitalization potential, human resources, science financing; research performance. Analysis and assessment of the influence of factors on each other and on the system as a whole was carried out on the basis of regression analysis using the example of 84 regions of Russia using data for 2021-2022. The greatest impact on the volume of shipped innovative goods, considered as the main concept, was exerted by the determinants "The share of organizations implementing technological innovations" and "The ratio of the salaries of scientific workers to the average salary in the region", other concepts are characterized by weak or negative dependencies. The results of cognitive modeling of the system of scientific support and commercialization of innovations in agriculture in Russia show the need to develop mechanisms for harmonizing federal and regional policies in the field of innovation implementation. The practical value of the research results lies in the possibility of applying the results in developing regional programs to accelerate the implementation of innovations in various industries and their replication.