Edgeworth equilibrium in a model of interregional economic relations

Vasil'ev, V. A.; Суслов, Виктор Иванович

doi:10.1134/s1990478911010145

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…Inshakov created the scientific school "Patterns of Evolution, Methods of Transformation and Strategic Modernization of Economic Systems", which addresses the multidimensional problems of regional economies, including the cluster development of the Russian of the agro-industrial cluster in terms of technological platforms, economic resources, strategies for socioeconomic development of regions and so on [15][16][17]. Scientific School A.G. Granberg [18] and his followers [13,[19][20][21][22][23][24] for more than thirty years they have been studying interregional intersectoral models and spatial development of the Russian economy. A.I.…”

Section: Theorymentioning

confidence: 99%

Investment in innovative enterprises of the agro-industrial cluster of Republic of Crimea

et al. 2021

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According to the main macroeconomic indicators, of Republic of Crimea does not occupy a leading position, therefore, the competitiveness of the region is assessed as low. In modern conditions, in order for the region economy to move to a new, better state, it is necessary to pay more attention to innovation. In such conditions, the importance of high-tech industries of the agro-industrial as an important factor in ensuring economic growth increases. Cluster associations, due to their effective self-organization and the use of innovation by enterprises, have a significant impact on the financial stability of Republic of Crimea. The problem of low innovation activity in enterprises of the agro-industrial cluster the region is due to the low availability of investment resources. For the successful functioning of the economy and the development of new innovative projects, especially in the agro-industrial sphere, it is necessary to attract new investors. The problem of determining the relationship between risk and dividend income when investing in securities issuers is relevant. The article defines the interest of investors in direct investments in enterprises that are elements of the agro-industrial cluster in the region, by determining profitability and risk using the likelihood function.

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Section: Theorymentioning

confidence: 99%

Investment in innovative enterprises of the agro-industrial cluster of Republic of Crimea

et al. 2021

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“…Apart from the traditional long-term forecasting of the Russian economy in the sectoral and spatial aspects, the Institute of Economics and Industrial Engineering pursues a rather unique line of research regarding the specifics of interregional interactions that cannot be defined without adequate economic-andmathematical tools: coalition analysis, enabling to assess the level of complementarity and interdependence between regional economies, and studies aimed at searching the state of equilibrium and the essence of multiregional systems [Suslov et al, 2019;Vasil′ev, Suslov, 2011;Vasil′ev, Suslov, 2010). Economic forecasting is not the only domain in which the input-output models of national and multiregional statements can be used.…”

Section: Introductionmentioning

confidence: 99%

Input-Output Table Regionalization and Multiregional Input-Output Model Development Algorithm

Ershov¹,

Ibragimov²,

Dushenin³

2021

J. Sib. Fed. Univ., Humanit. soc. sci.

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The main problems of constructing multiregional input-output (IO) models used for the development of spatial and sectoral long-term national economy forecasts are caused by the absence of proper statistics. Therefore, it is necessary to make up the input-output tables (IOTs) based on a limited set of direct and indirect indicators that measure spatial patterns of production, consumption, capital formation, etc., sufficiently accurate for filling up multiregional IO models. The paper discusses Russian IOT spatial mapping problems and proposes an approach to partial automation of the procedures necessary for regional IOT construction (by federal districts). The regionalization was carried out using a static IO model with the bounding sum control. As a result, a set of consistent regional tables for 2015 was developed, with the eight IOT sum equalling Russia’s IOT. Based on the estimated regional IOTs, a static multiregional input-output model (OMIOM) across federal districts for 2015 was made up. The model allows us to proceed to the follow-up phase, i. e., developing a semi-dynamic model for long-term national economic projection computations

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“…In modern scientific and economic publications, approaches to the simulation of the regional policy are considered [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. In such publications [1,2] it is considered that such simulation methods of the budget regulation mechanisms are at different hierarchical levels, as well as econometric methods and panel data.…”

Section: Introductionmentioning

confidence: 99%

“…In publications [5][6][7][8][9][10], some of the fundamentals of the socioeconomic system dynamic models and the simulation models of the region are considered. Publications [11][12][13] consider questions of optimization method development for regional development strategies and analysis of the interregional economic collaboration based on a complex (or a set) of optimization interregional and interbranch models. The works [14,15] offer a complex (or a set) of models, which give the possibility of determining the state regulation priority of ability to vital spheres of the regional systems and improve the effectiveness of target coordination based upon a multidimensional analysis and adaptive filtration methods.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Territorial Development Based on Fiscal Policy Tools

Brumnik¹,

Klebanova

Guryanova

et al. 2014

Mathematical Problems in Engineering

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Modern approaches to the development of a national economy are often characterized with an imbalanced inflation of some economic branches leading to a disproportional socioeconomic territories development (SETD). Such disproportions, together with other similar factors, frequently result in a lack of economic integrity, various regional crises, and a low rate of the economic and territorial growth. Those disproportions may also conduce to an inadequate degree of the interregional collaboration. This paper proposes the ways of regulating imbalances in the territorial development based upon the fiscal policy tools. The latter can immediately reduce the amplitude of economic cycle fluctuations and provide for a stable development of the economic state system. The same approach is applied to control the processes of transformation of the tax legislation and tax relations, as well as the levying and redistribution of the recollected taxes among the territories’ budgets (this approach is also known as a tax policy). To resume, this paper describes comprehensive models of financial regulation of the socioeconomic territorial development that can help in estimating and choosing the right financial policy parameters. These provide the stable rates of the growth of national economies along with a simultaneous decrease in interregional socioeconomic disproportions.

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Edgeworth equilibrium in a model of interregional economic relations

Cited by 5 publications

References 3 publications

Investment in innovative enterprises of the agro-industrial cluster of Republic of Crimea

Investment in innovative enterprises of the agro-industrial cluster of Republic of Crimea

Input-Output Table Regionalization and Multiregional Input-Output Model Development Algorithm

Simulation of Territorial Development Based on Fiscal Policy Tools

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