Decision support system for sustainable economic development of the Far Eastern Federal District

Beklaryan, Gayane

doi:10.17323/1998-0663.2018.4.66.75

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…At the same time, applying methods of agent-based modelling (Akopov et al, 2019;Akopov et al, 2017;Baindur and Viegas, 2011) allows the possibilities of the analysis of the production and investment characteristics of Russian regions to be extended, in particular, to forecast the total number of enterprises and investors at the regional level ( Figure 7). The agent model developed in this work can be employed to develop a decision-making system for rational management at the regional level (Akopov and Beklaryan, 2014;Beklaryan, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…The importance of such methods has been described in many well-known works (Tesfatsion, 2002;Parker, 2003;Farmer and Foley, 2009;Epstein, 2012). Moreover, ABM is applicable for developing distributed optimisation methods (Akopov and Hevencev, 2013), environmental modelling (Akopov et al, 2019) and designing decision-making systems (Beklaryan, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…At the present time, system dynamics methods are supported in different simulation tools such as Powersim Studio, AnyLogic, iThink, etc. These methods and tools allow the development of simulation models of regional economic systems and decision-making systems for economic planning (Beklaryan, 2018). Modern computing systems such as AnyLogic (Borshchev, 2013) support multi-method simulation modelling based on both system dynamics (SD) and agent-based modelling (ABM) developed in the 1970s (Schelling, 1971) applying them jointly within one model.…”

Section: Introductionmentioning

confidence: 99%

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Modelling the Efficiency of the Use of Production and Investment Resources at the Regional Level: The Case of Russia

Gayane¹,

Andranik²

2019

IJEBA

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The important feature of the suggested approach is to take into account the average (normative) return of sectoral resources by computing the efficiency scores of regions. Methods of agent-based modelling (ABM) were applied in the investigation using the 'gravity effects' that described the behaviour of agent-enterprises. Moreover, agent-investors regarding agent-regions are considered. Findings: The key findings are: (1) There is a significant inequality and a gap between the leading regions of Russia (such as Moscow, Moscow Oblast and Saint Petersburg) and other regions. At the same time, many non-leading regions are more stable and attractive; (2) A complex classification of Russian regions based on solving four tasks, namely the 'ratio of production to labour', 'ratio of production to assets', 'ratio of investments to labour' and 'ratio of investments to assets' is an effective approach to estimate region states; (3) In the leading regions e.g., Moscow, has decreasing efficiency scores after 2014, which is probably due to the large influence of crisis phenomena on the largest Russian agglomerations in comparison with other regions; (4) The 'gravity model' explains the behaviour of economic agents and allows forecasting the number of regional enterprises and investors. Practical implications: The developed method can be practically applied for other countries with non-homogeneous regional economies. Originality/Value: For the first time the dynamical model of the efficiency of the use of production and investment resources at the regional level of Russia is suggested. Such model allows examining regional changes.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modelling the Efficiency of the Use of Production and Investment Resources at the Regional Level: The Case of Russia

Gayane¹,

Andranik²

2019

IJEBA

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“…At the same time, the issues of analyzing sustainable development are not adequately studied at the level of the Far Eastern territories (Ratner et al, 2020;Ratner, 2020;Kulakovskiy, 2019;Minakir, 2017;Pyzheva & Zander, 2019;Shaslo et al, 2018). The prevailing majority of the works published in the last five years consider the compliance of the current economic situation in the macro-region with the strategic guidelines declared in the targeted state programs (Beklaryan, 2018;Baklanov & Moshkov, 2016;Kozlova et al, 2016;Alekhin, 2016;Bobylev & Solovyeva, 2020;Koshevaya & Miroshnikova, 2020;Nedoluzhko et al, 2019;Andreev, 2018;Volynchuk & Pestsov, 2020;Lebedinskaya et al, 2018;Titova & Vorozhbit, 2017;Titova et al, 2016), investment development and international economic cooperation with the APR countries.…”

Section: State Of Knowledgementioning

confidence: 99%

Rating assessment of the sustainable development of the Russian entities: a scientific approach

Titova

Grekhova

Kudrik

2022

Nexo Revista Científica

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The relevance of the present study is due to the socio-environmental crisis phenomena, the tool to minimize which is the transition to sustainable development, declared by the President of Russia. The article deals with the problem of assessing the level of sustainable development of the Far Eastern territories of the Russian Federation in terms of compliance with environmental goals of sustainable development of the UN 11-15. The authors use methods of graphic analysis, construction of time series and rating evaluations to assess the level of sustainable development in terms of environmental protection indicators in the subjects of the Russian Far East. As a result of defining the criteria according to the developed scale, the authors conclude that only in 2 regions the level is defined as favorable. The environmental problems of the regions are noted, and the key directions of improving the environmental well-being of the territories under consideration are outlined. As a result, it is determined that the key to solving these problems can be introducing elements of circular economy in the modern economic system.

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“…G.L. Beklaryan [35] developed a simulation model of the economic development of the Far Eastern Federal District which uses the methods of system dynamics and the agent-based approach. The main idea of the model is to study the influence of a number of factors on the economy of the federal district, such as the growth rate of investment in fixed assets, average wages, subsidies from the federal budget and prices for natural resources.…”

Section: Theoretical Background For Study Of Mathematical and Simulation Models Of Industriesmentioning

confidence: 99%

Simulation of development of individual heavy industry sectors

Kislitsyn¹,

Gorodnichev²

2021

Bus. Inform.

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Nowadays, in the context of the coronavirus crisis, the issue of ensuring the sustainable development of heavy industries is acute. However, theoretical and analytical researches alone are not sufficient for this, and economic science needs to develop fundamentally new approaches to the study of the development of industrial sectors. This article is devoted to the creation and testing of a simulation model for the development of individual sectors of the economy. The object of research is the metallurgical industry, as well as related ore mining, mechanical engineering and production of finished metal products. The theoretical basis of the research is a systematic approach that combines the theory of industry markets, economic growth, industrial economics, system dynamics and mathematical economics. The main research methods used are system analysis, statistical analysis to identify trends in changes in the main economic indicators, econometric modeling to build production functions, as well as mathematical modeling of macroeconomic systems. As a result, a simulation model developed in system dynamics notation is proposed, which makes it possible to evaluate the development of individual industries taking into account various changes. This model is built on the basis of the three-sector model of the national economy, where separate adjacent industries connected by dynamic feedback loops are identified as structural elements. The paper details the structure of the simulation model based on first-order dynamic equations, balance equations and nonlinear production functions. The simulation model allowed us to predict a number of scenarios for the development of metallurgical industries, taking into account changes in the labor force and investment in fixed assets. The results of the work can be used for forming proposals on industrial policy, monitoring the condition and efficiency of individual industries.

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Decision support system for sustainable economic development of the Far Eastern Federal District

Cited by 8 publications

References 9 publications

Modelling the Efficiency of the Use of Production and Investment Resources at the Regional Level: The Case of Russia

Modelling the Efficiency of the Use of Production and Investment Resources at the Regional Level: The Case of Russia

Rating assessment of the sustainable development of the Russian entities: a scientific approach

Simulation of development of individual heavy industry sectors

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