Issue |
E3S Web Conf.
Volume 273, 2021
XIV International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2021”
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Article Number | 08081 | |
Number of page(s) | 8 | |
Section | Agricultural Management and Environmental Economics | |
DOI | https://doi.org/10.1051/e3sconf/202127308081 | |
Published online | 22 June 2021 |
Classification of agricultural risks of the digital economy
1 Novosibirsk State Technical University, K. Marksa str., 20, Novosibirsk, 630073, Russia
2 RusAtom-international Network Private institution (Rosatom State Corporation), Krasnopresnenskaya embankment, 12, Moscow, 119192, Russia
* Corresponding author: Olesechka-nsk@yandex.ru
The current state of the agricultural complex is characterised by a high degree of instability. This sector of the economy is affected by a significant number of factors, both climatic and human-made. Uncertainty in the state and development of the industry creates risks. The digitalisation of all sectors of the economy, on the one hand, is designed to reduce risks; on the other, it itself is the reason that creates new risks. A review of the scientific literature indicates an increased interest in this problem. However, there is a lack of experience in linking agricultural risks to the risks inherent in the digital environment. Our research is aimed not only at identifying risks in the agricultural complex in the conditions of digitalisation but also at their classification and determining the most significant in the agricultural complex. We suggested that the agricultural complex risks are associated with the risks of the digital economy. The justification of the hypothesis was carried out using mathematical operations with sets. The calculations made it possible as the most significant to distinguish technological and social risks in the agricultural complex, the levelling of which is possible using digital information platforms.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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