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The relevance of the research topic is related to the fact that the forestry complex of Russia continues to be an important sector of the economy, despite the current challenges. In the context of globalization and increased competition in the forest products market, the development of forecasts for the development of the forestry complex, taking into account the market situation, the dynamics of technological progress and changes in the regulatory framework, is of particular relevance. Forecasting the development of the forestry complex allows identifying potential risks and opportunities, developing measures to improve the efficiency of forest management and forest use, as well as ensuring sustainable development of the forestry sector in the long term. The model for forecasting the development of the regional forestry complex includes from two to four regression equations of a structural form that describe the relationship between key factors and target indicators characterizing its condition. Testing of forecasting the development of the potential of the regional forestry complex was carried out for several regions: Arkhangelsk, Vologda, Novgorod regions. Models for forecasting the development of the forestry complex predict stable dynamics of state income at the federal and regional levels and income of business entities in the region for the short and long term.
forestry complex, models for forecasting the development of the forestry complex, dynamics of state income at the federal and regional levels, income of business entities in the region
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