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Open AccessArticle

A Study on Green Economy Indicators and Modeling: Russian Context

1
Graduate School of Economics and Management, Ural Federal University, Yekaterinburg 620002, Russia
2
Automobile and Transport Institute, Ural State Forest Engineering University, Yekaterinburg 622100, Russia
3
Director of Institute of Design & Urban Studies, ITMO University, Saint-Petersburg 197101, Russia
4
Department of Economics and Industrial Production Management, Perm National Research Polytechnic University, Perm 614990, Russia
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(17), 4629; https://doi.org/10.3390/su11174629
Received: 4 July 2019 / Revised: 25 July 2019 / Accepted: 29 July 2019 / Published: 26 August 2019
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. View Full-Text
Keywords: green economy; green economy assessing; criteria for green economy assessing; visual-block modeling; fuzzy modeling green economy; green economy assessing; criteria for green economy assessing; visual-block modeling; fuzzy modeling
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MDPI and ACS Style

Vukovic, N.; Pobedinsky, V.; Mityagin, S.; Drozhzhin, A.; Mingaleva, Z. A Study on Green Economy Indicators and Modeling: Russian Context. Sustainability 2019, 11, 4629.

AMA Style

Vukovic N, Pobedinsky V, Mityagin S, Drozhzhin A, Mingaleva Z. A Study on Green Economy Indicators and Modeling: Russian Context. Sustainability. 2019; 11(17):4629.

Chicago/Turabian Style

Vukovic, Natalia; Pobedinsky, Vladimir; Mityagin, Sergey; Drozhzhin, Andrei; Mingaleva, Zhanna. 2019. "A Study on Green Economy Indicators and Modeling: Russian Context" Sustainability 11, no. 17: 4629.

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