
RISK FACTORS OF PUBLIC ADMINISTRATION AND THEIR ASSESSMENT IN FORESTRY IN RUSSIA
Author(s) -
Светлана Морковина,
Oksaetrebskaya
Publication year - 2021
Publication title -
aktualʹnye napravleniâ naučnyh issledovanij xxi veka: teoriâ i praktika
Language(s) - English
Resource type - Journals
ISSN - 2308-8877
DOI - 10.34220/2308-8877-2021-9-2-76-91
Subject(s) - business , risk management , forest management , environmental resource management , context (archaeology) , agency (philosophy) , sustainable forest management , forestry , certified wood , community forestry , environmental planning , finance , geography , economics , philosophy , archaeology , epistemology
The article deals with the complex groups of risks of state forest management: strategic; managerial; operational (natural and climatic), legal (legal), property (related to property, forest resources and land), financial, commercial, technological; informational; security risks; design (software); reputational. Macro-level risk factors determine the state forest policy, transformed into strategies, development programs and implemented at the level of the Ministry of Natural Resources. Risk factors at the meso-level of forest management determine the effectiveness of the interaction of the Federal Forestry Agency with participants in forestry relations in order to ensure rational, continuous and sustainable forest management, reproduction, protection and protection of forests. Micro-level factors are implemented in regional forestry systems. For the purpose of assessing their significance and probability of occurrence, an expert method was used, implemented at the meso and micro levels of state forest management. The most priority for the state forest management at the meso-level are strategic (programmatic), financial, commercial risk factors, as well as security risks, while for the micro-level, natural-climatic and personnel risk factors are also among the priorities. To create a unified state risk management system in forest management, it is necessary to develop a unified approach that takes into account complex risk groups differentiated in the context of regional systems.