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The Forest Industry of the Regions of Siberia and the Far East: Prospects for the Development of the Forest-Climate Sector

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  • A. I. Pyzhev

    (Siberian Federal University)

Abstract

— The article presents an attempt at a comprehensive macroeconomic modeling of the activities of the Russian forest industry with an analysis of the topical issue on the agenda of maximizing the potential of forests in order to decarbonize the national economy. An original economic-mathematical model of the regional forest complex is proposed, detailed by blocks: logging, timber industry, forest ecosystem services. Unlike most similar models, which, as a rule, are built around the description of trade flows of the entire range of forest products, this work proceeds from the consideration of the forest complex as a source of a full range of forest ecosystem services. The model has been tested for the regions of Siberia and the Far East, where a significant part of Russian forests and capacities for their industrial processing are located. The results of scenario calculations show that the preservation of current trends in forest management in these regions is unacceptable both from the point of view of the sustainable development of the industry (due to the approaching depletion of the forest resource base) and in the context of responding to the challenges that are relevant to the Russian economy. The target to increase carbon sequestration to 1.2 billion tons of CO2-equivalent by 2050, declared in the Strategy for the socioeconomic development of the Russian Federation with a low level of greenhouse gas emissions, is an important signal for the growth of investment attractiveness of the forest-climatic sector, which is new for the Russian economy. Calculations show that with the full development of forest-climatic initiatives, this sector can give an additional impetus to the development of the economy and transform the purely raw-material domestic forest industry into one of the flagships of the international decarbonization agenda.

Suggested Citation

  • A. I. Pyzhev, 2022. "The Forest Industry of the Regions of Siberia and the Far East: Prospects for the Development of the Forest-Climate Sector," Studies on Russian Economic Development, Springer, vol. 33(4), pages 402-408, August.
    • Handle: RePEc:spr:sorede:v:33:y:2022:i:4:d:10.1134_s1075700722040086
    DOI: 10.1134/S1075700722040086
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    References listed on IDEAS

    as
    1. Zhang, Xufang & Sun, Changyou & Munn, Ian A. & Gordon, Jason, 2021. "How to protect the U.S. forest products industry from the perspective of trade? A comparison of policies within the forest supply chain," Forest Policy and Economics, Elsevier, vol. 133(C).
    2. Anton I. Pyzhev & Roman V. Gordeev & Eugene A. Vaganov, 2020. "Reliability and Integrity of Forest Sector Statistics—A Major Constraint to Effective Forest Policy in Russia," Sustainability, MDPI, vol. 13(1), pages 1-10, December.
    3. Joseph Buongiorno, 2021. "GFPMX: A Cobweb Model of the Global Forest Sector, with an Application to the Impact of the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    4. Miguel Riviere & Sylvain Caurla & Philippe Delacote, 2020. "Evolving Integrated Models From Narrower Economic Tools : the Example of Forest Sector Models," Post-Print hal-02512330, HAL.
    5. Buongiorno, Joseph, 2019. "Country-specific demand elasticities for forest products: Estimation method and consequences for long term projections," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    6. Lin, Ying & Zhang, Daowei, 2017. "Incidence of Russian log export tax: A vertical log-lumber model," Journal of Forest Economics, Elsevier, vol. 29(PB), pages 69-77.
    7. A. A. Shirov, 2020. "Statistics for the Benefit of Economics and Society," Studies on Russian Economic Development, Springer, vol. 31(1), pages 3-6, January.
    8. Miguel Riviere & Sylvain Caurla, 2020. "Representations of the Forest Sector in Economic Models [Les représentations du secteur forestier dans les modèles économiques]," Post-Print hal-03088084, HAL.
    Full references (including those not matched with items on IDEAS)

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