Issue |
BIO Web Conf.
Volume 108, 2024
International Scientific and Practical Conference “From Modernization to Rapid Development: Ensuring Competitiveness and Scientific Leadership of the Agro-Industrial Complex” (IDSISA 2024)
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Article Number | 14004 | |
Number of page(s) | 7 | |
Section | Rational Environmental Management | |
DOI | https://doi.org/10.1051/bioconf/202410814004 | |
Published online | 15 May 2024 |
A model for improving the efficiency of forest industry enterprises in the context of rational environmental management
Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
* Corresponding author: medvedev_serega@mail.ru
The development of the forest industry is one of the important goals of state policy. The purpose of the work was to study certain aspects of the efficiency of Russian forest industry enterprises in the context of rational environmental management and to develop a graphical model for its improvement. The main research methods are analytical, modeling, and statistical data processing. As a result, information was obtained on the current level of efficiency of production of forest industry key products by regions of the country. The development of the model was based on the general hypothesis of the study, that expanding the depth of wood biomass processing while reducing the negative impact on the environment leads to increased efficiency and sustainable development of enterprises in the forest industry. The proposed model demonstrates certain aspects of the interaction of forest industry enterprises with the environment. The most important elements of this model are waste-free production and the deep processing production, based, among other things, on the use of waste from the main production. To increase the efficiency of forest industry enterprises, it is extremely important to develop and implement environmental management measures.
© The Authors, published by EDP Sciences, 2024
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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