IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v472y2022ics0304380022002010.html
   My bibliography  Save this article

Multidimensional modeling of the economy of forest management and reforestation

Author

Listed:
  • Salimova, Guzel
  • Ableeva, Alisa
  • Lubova, Tatiana
  • Sharafutdinov, Aidar
  • Araslanbaev, Irek

Abstract

The article presents a study of the system of indicators characterizing the forest industry and the reproduction of forest resources of territories. A hierarchical classification of the subjects of the Volga Federal District of the Russian Federation by indicators characterizing the resource potential of logging regions and organizations, the results of logging organizations, the state of forest resources and environment has been performed. The classification of the system of indicators of timber industry from the position of cluster analysis was first performed. Clusters with high, medium and low levels of forestry development and reforestation have been identified. Regions are set for the selected clusters. The formation of clusters will make it possible to more efficiently use the forest resources of the District, will contribute to interregional cooperation, obtaining a larger total income, combining experience and efforts in the field of forest resources reproduction. Much attention is paid to the reproduction of forest resources. Regions of the Volga Federal District are characterized by better indicators of reforestation, reproduction of forest resources, their safety compared to the value of indicators of the Russian Federation. In the regions of cluster 1, where forest lands occupy a significant share of the area, less grain is produced per capita than in other clusters or average in the District and across Russia. The highest value of grain per capita is produced in the regions of cluster 2. The regions of cluster 3 are characterized by the average level of crop and livestock production per capita, quite developed agriculture. Total contribution of agriculture and forestry to Gross Regional Product in the regions of this cluster is the highest – 9.6%, which exceeds the average level both for the District and for Russia as a whole. The regions of cluster 3 also have the largest share of investments in fixed capital by economic activity ‘Agriculture, forestry and fishing’ in total investments. It is also partly the result of the fact that in this cluster the largest share of intramural current expenditures on R&D on agricultural sciences (6.74% of total intramural current expenditures on R&D). This result confirms the hypotheses put forward about the need for a scientifically grounded approach to the processes of reforestation, agriculture and forestry, attracting investments in fixed capital of this type of economic activity. The formation of clusters will make it possible to more efficiently use the forest resources of the District, will contribute to interregional cooperation, obtaining a larger total income, combining experience and efforts in the field of forest resources reproduction.

Suggested Citation

  • Salimova, Guzel & Ableeva, Alisa & Lubova, Tatiana & Sharafutdinov, Aidar & Araslanbaev, Irek, 2022. "Multidimensional modeling of the economy of forest management and reforestation," Ecological Modelling, Elsevier, vol. 472(C).
    • Handle: RePEc:eee:ecomod:v:472:y:2022:i:c:s0304380022002010
    DOI: 10.1016/j.ecolmodel.2022.110098
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380022002010
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.110098?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Adriana Piazza & Santanu Roy, 2020. "Irreversibility and the economics of forest conservation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(3), pages 667-711, April.
    2. Patrice Loisel & Marielle Brunette & Stéphane Couture, 2020. "Insurance and Forest Rotation Decisions Under Storm Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 347-367, July.
    3. Caravaggio, Nicola, 2020. "Economic growth and the forest development path: A theoretical re-assessment of the environmental Kuznets curve for deforestation," Forest Policy and Economics, Elsevier, vol. 118(C).
    4. Andersson, Elias & Lidestav, Gun, 2016. "Creating alternative spaces and articulating needs: Challenging gendered notions of forestry and forest ownership through women's networks," Forest Policy and Economics, Elsevier, vol. 67(C), pages 38-44.
    5. Fraser Sugden & Samantha Punch, 2014. "Capitalist Expansion and the Decline of Common Property Ecosystems in China, Vietnam and India," Development and Change, International Institute of Social Studies, vol. 45(4), pages 656-684, July.
    6. Mariana Svyntukh, 2015. "Directions For Effective Use Of Forest Resources In Ukraine," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 1(1).
    7. Bergstén, Sabina & Andersson, Elias & Keskitalo, E. Carina H., 2020. "Same-same but different: Gendering forest ownership in Sweden," Forest Policy and Economics, Elsevier, vol. 115(C).
    8. Heidi J. Albers & Katherine D. Lee & Jennifer R. Rushlow & Carlos Zambrana-Torrselio, 2020. "Disease Risk from Human–Environment Interactions: Environment and Development Economics for Joint Conservation-Health Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 929-944, August.
    9. Mur, Ruben Javier & Goetz, Renan-Ulrich & Xabadia, Angels & Córdoba, Francesc & Gracia, Carles, 2014. "Adapting the optimal selective-logging of Scots pine (Pinus sylvestris L.) stands in NE Spain to increasing CO2 concentrations," Journal of Forest Economics, Elsevier, vol. 20(3), pages 286-304.
    10. Jolley, G. Jason & Khalaf, Christelle & Michaud, Gilbert L. & Belleville, Douglas, 2020. "The economic contribution of logging, forestry, pulp & paper mills, and paper products: A 50-state analysis," Forest Policy and Economics, Elsevier, vol. 115(C).
    11. Soliño, M. & Alía, R. & Agúndez, D., 2020. "Citizens' preferences for research programs on forest genetic resources: A case applied to Pinus pinaster Ait. in Spain," Forest Policy and Economics, Elsevier, vol. 118(C).
    12. Shigaeva, Jyldyz & Darr, Dietrich, 2020. "On the socio-economic importance of natural and planted walnut (Juglans regia L.) forests in the Silk Road countries: A systematic review," Forest Policy and Economics, Elsevier, vol. 118(C).
    13. Daigneault, Adam J. & Sohngen, Brent L. & Sedjo, Roger, 2020. "Carbon and market effects of U.S. forest taxation policy," Ecological Economics, Elsevier, vol. 178(C).
    14. Sun, Xing & Zhang, Daowei, 2020. "A theoretical and empirical analysis of joint forest production: Timber supply and amenity services," Forest Policy and Economics, Elsevier, vol. 115(C).
    15. Frey, Gregory E. & Chamberlain, James L. & Prestemon, Jeffrey P., 2018. "The potential for a backward-bending supply curve of non-timber forest products: An empirical case study of wild American ginseng production," Forest Policy and Economics, Elsevier, vol. 97(C), pages 97-109.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koch, Susanne & Matviichuk, Elena, 2021. "Patterns of inequality in global forest science conferences: An analysis of actors involved in IUFRO World Congresses with a focus on gender and geography," Forest Policy and Economics, Elsevier, vol. 129(C).
    2. Kuhlman, Juulia & Berghäll, Sami & Vainio, Annukka, 2023. "Making gender visible: Objectives and socio-demographic differences among women forest owners," Forest Policy and Economics, Elsevier, vol. 151(C).
    3. Ajanaku, B.A. & Collins, A.R., 2021. "Economic growth and deforestation in African countries: Is the environmental Kuznets curve hypothesis applicable?," Forest Policy and Economics, Elsevier, vol. 129(C).
    4. Umaerus, Patrik & Högvall Nordin, Maria & Lidestav, Gun, 2019. "Do female forest owners think and act “greener”?," Forest Policy and Economics, Elsevier, vol. 99(C), pages 52-58.
    5. Donghui Lv & Ruru Wang & Yu Zhang, 2021. "Sustainability Assessment Based on Integrating EKC with Decoupling: Empirical Evidence from China," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    6. Johansson, Kristina & Johansson, Maria & Andersson, Elias, 2023. "All talk and no action? Making change and negotiating gender equality in Swedish forestry," Forest Policy and Economics, Elsevier, vol. 154(C).
    7. Anthony Heyes & Sandeep Kapur, 2023. "The precautionary principle when project implementation capacity is congestible," Theory and Decision, Springer, vol. 95(4), pages 691-711, November.
    8. Espada, Ana Luiza Violato & Kainer, Karen A., 2023. "Women and timber management: From assigned cook to strategic decision-maker of community land use," Land Use Policy, Elsevier, vol. 127(C).
    9. Caravaggio, Nicola, 2022. "Economic growth and forest transition in Latin America," Forest Policy and Economics, Elsevier, vol. 135(C).
    10. Caravaggio, Nicola, 2020. "A global empirical re-assessment of the Environmental Kuznets curve for deforestation," Forest Policy and Economics, Elsevier, vol. 119(C).
    11. Pipiet Larasatie & Dagmar Karisch-Gierer & Alice Ludvig, 2022. "Women’s Woodland Owner Network: A Comparative Case Study of Oregon (the United States) and Austria," Land, MDPI, vol. 11(10), pages 1-14, September.
    12. Andrea Schapper & Frauke Urban, 2021. "Large dams, norms and Indigenous Peoples," Development Policy Review, Overseas Development Institute, vol. 39(S1), pages 61-80, August.
    13. Vítor João Pereira Domingues Martinho, 2022. "Impacts of the COVID-19 Pandemic and the Russia–Ukraine Conflict on Land Use across the World," Land, MDPI, vol. 11(10), pages 1-14, September.
    14. Liu, Bingcai & Sohngen, Brent, 2020. "Modeling and predicting forest movement: An analysis of timber market and climate change," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304335, Agricultural and Applied Economics Association.
    15. Bastit, Félix & Brunette, Marielle & Montagné-Huck, Claire, 2023. "Pests, wind and fire: A multi-hazard risk review for natural disturbances in forests," Ecological Economics, Elsevier, vol. 205(C).
    16. Ding, Zhenmin & Yao, Shunbo, 2021. "Ecological effectiveness of payment for ecosystem services to identify incentive priority areas: Sloping land conversion program in China," Land Use Policy, Elsevier, vol. 104(C).
    17. Lisa Hiwasaki & Thai Thi Minh, 2022. "Negotiating marginality: Towards an understanding of diverse development pathways of ethnic minorities in Vietnam," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(8), pages 1455-1475, November.
    18. William Brock & Anastasios Xepapadeas, 2023. "Natural world preservation and infectious diseases: Land-use, climate change and innovation," DEOS Working Papers 2319, Athens University of Economics and Business.
    19. Kristina Johansson & Elias Andersson & Maria Johansson, 2022. "Restructuring masculinities and reshaping inequalities: Negotiations of (gendered) sales work and relations in an industrial organization," Gender, Work and Organization, Wiley Blackwell, vol. 29(4), pages 1008-1024, July.
    20. Andrea Schapper & Christine Unrau & Sarah Killoh, 2020. "Social mobilization against large hydroelectric dams: A comparison of Ethiopia, Brazil, and Panama," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(2), pages 413-423, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:472:y:2022:i:c:s0304380022002010. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.