Siberian school of regional studies in the RAS presidium program “Fundamental problems of the spatial development of the Russian federation: Interdisciplinary synthesis”

Кулешов, В. Н.; Селиверстов, В. Е.; Суслов, Виктор Иванович; Suspitsyn, S. A.

doi:10.1134/s207997051302007x

Cited by 4 publications

(4 citation statements)

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“…Later, ideas of active state regulation of modernization of spatial development processes were expressed in the so-called project approach, the advantages of which were actively promoted in the scientific literature (Fetisov, 2011;Glaz'ev et al, 2011;Kuleshov et al, 2009;Tatarkin, 2011). The essence of this approach, already in the form of official doctrine, was outlined in 2011 by then President of the Russian Federation D.A.…”

Section: Spatial Aspects Of Economicmentioning

confidence: 99%

Spatial Structure and Directions of Modernization of the Russian Economy

Михеева

2023

Reg. Res. Russ.

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The article presents the results of analyzing changes in the spatial structure of the Russian economy in the post-Soviet period due to the transition to market economic mechanisms and the directions and spatial aspects of modernization, including the choice of priorities for regional policy for solving modernization problems. Based on analysis of trends in the spatial distribution of the population, employment, and production, long-term trends in spatial shifts have been identified: shifts in the population, labor force, and income to the western and southern regions of the country and loss of the relative positions of the Siberian and Far Eastern regions. Shifts in structure of industrial production resulted from the country’s development model, oriented towards the export of natural resources; the shares of the Northwest, Urals, the Volga region, and Siberia increased in the spatial structure of industry. An assessment of the interregional differentiation of indicators of the average per capita production of GRP and average per capita income of the population, which is an important characteristic of the space, shows that after the 2008–2009 crisis, differential scores were relatively stable; it increased, as a rule, in conditions of economic growth; during periods of recession, differentiation decreased due to the deterioration in the position of the richest regions. The contribution of regional factors and shifts in the spatial structure to growth in labor productivity in the Russian economy as a whole is assessed. It is shown that for regions, the choice of the strategy of diversified employment and structure of production is a strategy of stable growth. A significant breakthrough has been achieved by concentrating resources in the most competitive areas of growth, but such a strategy carries risks for a region. The directions of modernization of the spatial structure of the Russian economy are determined. It is shown that for modernization of the real sector of the economy, regional policy is of particular importance, taking into account the diversity of Russia’s spatial conditions and peculiarities. The regional policy proposed for modernization involves the state’s creation of development institutions and formation of a polycentric spatial structure of the economy. An essential element is implementation of a project approach, in particular, the system of national projects.

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Section: Spatial Aspects Of Economicmentioning

confidence: 99%

Spatial Structure and Directions of Modernization of the Russian Economy

Михеева

2023

Reg. Res. Russ.

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“…The regional IOT accessibility issue is not unique for the Russian statistics. In Brazil and China, for instance, regional reporting tables are compiled regularly, while in many countries, including Russia, they do not exist (Kuleshov et al, 2013;Suslov et al, 2017). For this reason, there is a need for multiple assessment methods that do not require enterprise surveys.…”

Section: Filling Up a Static Multiregional Input-output Model (Base Year Problem)mentioning

confidence: 99%

“…If the figure is less than 1, it allows applying the national direct input coefficient to the relevant cell of a regional table. On the other hand, if the allocation quotient exceeds 1, the national coefficient is increased proportionately to be used in a regional table (Kuleshov et al, 2013). А. Saiapova suggested her own regional table building method for Bashkortostan (Saiapova, Sutiagin, 2001).…”

Section: Filling Up a Static Multiregional Input-output Model (Base Year Problem)mentioning

confidence: 99%

“…Such studies examine the established trends and their causes and identify the objective, long-term, accidental, short-term factors among them. This is the primary research domain of the Institute of Economics and Industrial Engineering (IEIE) SB RAS, preceding further regional economic forecasting studies (Ershov, 2020;Kuleshov et al, 2013;Ershov, 2016;Ershov, 2015). Many authors representing other research centres also pay much attention to the spatial aspects of Russia's economic development (Ershov, 2020;Mikheeva, 2017).…”

Section: Introductionmentioning

confidence: 99%

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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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Spatial interdisciplinary synthesis: Experience of policy studies

Minakir

2015

Reg. Res. Russ.

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Siberian school of regional studies in the RAS presidium program “Fundamental problems of the spatial development of the Russian federation: Interdisciplinary synthesis”

Cited by 4 publications

References 0 publications

Spatial Structure and Directions of Modernization of the Russian Economy

Spatial Structure and Directions of Modernization of the Russian Economy

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

Spatial interdisciplinary synthesis: Experience of policy studies

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