Analysis, forecasting, and management of indicators of the forest industry of the region

The article considers the theoretical and methodological foundations of forest industry research. The analysis of indicators of the forest industry of Khmelnytskyi region and Ukraine is carried out. To do this, a list of indicators and methods of their collection for the study of the forest industry...

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Main Authors: Ovchynikova Olena, Dupliak Olha
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2021/18/shsconf_m3e22021_10005.pdf
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spelling doaj-b58788116f1b4747989900f12d41e6d82021-05-28T14:55:37ZengEDP SciencesSHS Web of Conferences2261-24242021-01-011071000510.1051/shsconf/202110710005shsconf_m3e22021_10005Analysis, forecasting, and management of indicators of the forest industry of the regionOvchynikova Olena0Dupliak Olha1Department of Automated Systems and Modeling in Economics, Khmelnytskyi National UniversityDepartment of Automated Systems and Modeling in Economics, Khmelnytskyi National UniversityThe article considers the theoretical and methodological foundations of forest industry research. The analysis of indicators of the forest industry of Khmelnytskyi region and Ukraine is carried out. To do this, a list of indicators and methods of their collection for the study of the forest industry. Since the state of ecology and forestry in Ukraine is not in the best condition, it is objectively necessary to use methods of economic and mathematical modeling of forest management, which would take into account environmental, economic and social factors, which will quickly implement the principles of sustainable development in forest management. The dynamics of forestry indicators is estimated. Models of dynamics of indicators of forest branch are developed; the received forecasts are analyzed and recommendations on forest management in the region are given. It is determined that with an increase in investment in the development of the forest industry by 1%, we can expect an increase in the volume of the logging market by 524632.5 points. The results of the study can serve as a basis for management decisions on the management of forestry indicators.https://www.shs-conferences.org/articles/shsconf/pdf/2021/18/shsconf_m3e22021_10005.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Ovchynikova Olena
Dupliak Olha
spellingShingle Ovchynikova Olena
Dupliak Olha
Analysis, forecasting, and management of indicators of the forest industry of the region
SHS Web of Conferences
author_facet Ovchynikova Olena
Dupliak Olha
author_sort Ovchynikova Olena
title Analysis, forecasting, and management of indicators of the forest industry of the region
title_short Analysis, forecasting, and management of indicators of the forest industry of the region
title_full Analysis, forecasting, and management of indicators of the forest industry of the region
title_fullStr Analysis, forecasting, and management of indicators of the forest industry of the region
title_full_unstemmed Analysis, forecasting, and management of indicators of the forest industry of the region
title_sort analysis, forecasting, and management of indicators of the forest industry of the region
publisher EDP Sciences
series SHS Web of Conferences
issn 2261-2424
publishDate 2021-01-01
description The article considers the theoretical and methodological foundations of forest industry research. The analysis of indicators of the forest industry of Khmelnytskyi region and Ukraine is carried out. To do this, a list of indicators and methods of their collection for the study of the forest industry. Since the state of ecology and forestry in Ukraine is not in the best condition, it is objectively necessary to use methods of economic and mathematical modeling of forest management, which would take into account environmental, economic and social factors, which will quickly implement the principles of sustainable development in forest management. The dynamics of forestry indicators is estimated. Models of dynamics of indicators of forest branch are developed; the received forecasts are analyzed and recommendations on forest management in the region are given. It is determined that with an increase in investment in the development of the forest industry by 1%, we can expect an increase in the volume of the logging market by 524632.5 points. The results of the study can serve as a basis for management decisions on the management of forestry indicators.
url https://www.shs-conferences.org/articles/shsconf/pdf/2021/18/shsconf_m3e22021_10005.pdf
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AT dupliakolha analysisforecastingandmanagementofindicatorsoftheforestindustryoftheregion
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