Scenario Modelling of the “Green” Economy in an Economic Space
Larisa Rudneva,
Irina Pchelintseva and
Maria Gureva
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Larisa Rudneva: Head of Educational Program, Federal State Budget Educational Institution of Higher Education, Industrial University of Tyumen, Tyumen 625000, Volodarskogo, Russia
Irina Pchelintseva: Department of Foreign Languages, Federal State Budget Educational Institution of Higher Education, Industrial University of Tyumen, Tyumen 625000, Volodarskogo, Russia
Maria Gureva: Department of Economics and Organization of Production, Federal State Budget Educational Institution of Higher Education, Industrial University of Tyumen, Tyumen 625000, Volodarskogo, Russia
Resources, 2018, vol. 7, issue 2, 1-18
Abstract:
The article utilizes the main elements of system analysis and the bases of cognitive science to analyze the concept of the “ecological and economic system”. The characteristics of the conceptual elements of the “green” economy dynamic model used in the application of cognitive analysis are given and their mutual influence is considered. A dynamic model of the “green” economy is developed, a general extended map and a reduced-parametric cognitive map of the development of the “green” economy in the economic space of the region are constructed. Scenario modelling of the development of the region’s “green” economy based on the intensification of the influence of one of the cognitive vertices of the model on the curve of the development of the “green” economy is carried out and described. Scenario modelling and development of cognitive maps are carried out using the software package Vensim Personal Learning Edition (PLE), which is widely applied in system analysis.
Keywords: “green” economy; cognitive modeling; cognitive maps; system dynamics; system dynamic model; development of the “green” economy; economic space of the region (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jresou:v:7:y:2018:i:2:p:29-:d:143122
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