A Study on Green Economy Indicators and Modeling: Russian Context

被引:25
|
作者
Vukovic, Natalia [1 ]
Pobedinsky, Vladimir [2 ]
Mityagin, Sergey [3 ]
Drozhzhin, Andrei [3 ]
Mingaleva, Zhanna [4 ]
机构
[1] Ural Fed Univ, Grad Sch Econ & Management, Ekaterinburg 620002, Russia
[2] Ural State Forest Engn Univ, Automobile & Transport Inst, Ekaterinburg 622100, Russia
[3] ITMO Univ, Inst Design & Urban Studies, St Petersburg 197101, Russia
[4] Perm Natl Res Polytech Univ, Dept Econ & Ind Prod Management, Perm 614990, Russia
关键词
green economy; green economy assessing; criteria for green economy assessing; visual-block modeling; fuzzy modeling; POLICIES;
D O I
10.3390/su11174629
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:13
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