| Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
|---|---|---|
| Article Number | 13018 | |
| Number of page(s) | 6 | |
| Section | Environmental Risk Assessment and Management | |
| DOI | https://doi.org/10.1051/e3sconf/202340213018 | |
| Published online | 19 July 2023 | |
Mechanisms for restoring the solvency of Russian agricultural debtors
1 Rostov State University of Economics, 344012 Rostov-on-Don, Russia
2 Rostov State Transport University, 344038 Rostov-on-Don, Russia
3 Don State Technical University, 344003 Rostov-on-Don, Russia
* Corresponding author: tas242@yandex.ru
The purpose of this article is to analyse the mechanisms to restore the solvency of Russian agricultural organisations. The achievement of the goal set by the authors is carried out as a result of the study of socioeconomic factors affecting the financial stability of agricultural organisations, as well as consideration of the provisions of regulations that provide mechanisms for financial recovery of agricultural organisations both outside the bankruptcy procedure and within the bankruptcy procedure. In carrying out the study, the authors used systemic and structural and functional methods of scientific knowledge, the method of interpretation of legal norms, and the logical method. As a result of the study of various factors that affect the financial stability of agricultural organisations, the authors came to the conclusion that they should be taken into account in the formation of a system of measures aimed at restoring the solvency of agricultural organisations and the establishment of regulatory and legal regulation of rehabilitation procedures in respect of such organisations. According to the authors, the proposals for improving the mechanisms of restoring the solvency and sustainability of agricultural organizations will ensure the progressive development of the agro-industrial sector of the Russian economy.
© The Authors, published by EDP Sciences, 2023
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.