The Use of Statistical Methods in the Assessment and Monitoring of Institutional Transformations of Environmental Activities in Russia
- DOI
- 10.2991/fred-19.2020.96How to use a DOI?
- Keywords
- statristical methods, regional institutes, institutional transformation, environment monitoring
- Abstract
The article describes the aspects of decision making in the context of institutional transformations of environmental activities based on the use of a wide range of statistical methods. Their advantage is the ability to make and use models in the short term. Analysis and, on its basis, forecasting the phenomenon in the short term requires taking into account not so much the development trend of the phenomenon that has developed in the past, but the characteristics of the unevenness of the levels of the phenomenon and the ability to quickly adapt the structure and parameters of the series to changing conditions. As a rule, the amount of information on the phenomenon under investigation is extremely limited. Accordingly, in the practice of analyzing environmental activities, this methodology is extremely relevant. Using statistical methods, an assessment was made of the transformation of the quality of modern reporting on the approved forms in the aspect of institutional reform of the environmental protection system, as well as a quantitative assessment of the factors shaping the ecological situation, including in the North Caucasus Federal District.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - N.M. Goreeva AU - N.A. Kokorev AU - L.N. Demidova AU - S.I. Chernyaev PY - 2020/01 DA - 2020/01 TI - The Use of Statistical Methods in the Assessment and Monitoring of Institutional Transformations of Environmental Activities in Russia BT - Proceedings of the International Session on Factors of Regional Extensive Development (FRED 2019) PB - Atlantis Press SP - 474 EP - 478 SN - 2352-5428 UR - https://doi.org/10.2991/fred-19.2020.96 DO - 10.2991/fred-19.2020.96 ID - Goreeva2020/01 ER -