Please use this identifier to cite or link to this item: https://elar.usfeu.ru/handle/123456789/9214
Title: A Study on Green Economy Indicators and Modeling: Russian Context
Authors: Vukovic, N. A.
Pobedinskiy, V. V.
Mityagin, S.
Drozhzhin, A.
Mingaleva, Z.
Issue Date: 2019
Publisher: MDPI AG
Citation: A Study on Green Economy Indicators and Modeling: Russian Context / N. A.Vukovic, V. V. Pobedinsky, S. Mityagin [et al.] // Sustainability (Switzerland) . – 2019. – Vol. 11. – Iss. 17. – № 4629.
Abstract: This article aims to assess and forecast the dynamics of a regional green economy. The research relevance is determined by the need to develop theoretical and methodological basis of the green economy for the transition period and to identify criteria basis for assessing the state and regional level of it. The authors applied the modern methods, which allowed to model criteria considering data uncertainty and both static and dynamic criteria. The research process involved the methods of scientific analysis, comparison and synthesis, the theory of fuzzy sets, and fuzzy modeling. The main principles and methodology of the criteria evaluation for a regional green economy are proposed. The principal methodological approach in this research combines the current state and dynamics of the green economy in evaluating and forecasting the conditions of data uncertainty. The research results form a theoretical, methodological, and practical basis for assessing the current state and level of a regional green economy development, determining the effectiveness of environmental and economic programs, optimizing financial management, conducting environmental monitoring, and developing state plans.
Keywords: GREEN ECONOMY
GREEN ECONOMY ASSESSING
CRITERIA FOR GREEN ECONOMY ASSESSING
VISUAL-BLOCK MODELING
FUZZY MODELING
POLICIES
URI: https://elar.usfeu.ru/handle/123456789/9214
DOI: 10.3390/su11174629
SCOPUS: 2-s2.0-85071974178
WoS: WOS:000486877700118
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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