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The conceptual model of a region development administration considering the level of spatial relatedness

Author

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  • Aleksandra Polyakova

    (Institute of Social Analysis and Forecasting, Russian Presidential Academy of National Economy and Public Administration)

  • Irina Simarova

    (Tyumen State Oil and Gas University)

Abstract

In the article, the relatedness as an attribute of spatial development that has greater importance for economic policy implementation being a characteristic of its object is considered. Relatedness is understood as the quantitatively measurable extent of productive, social and other interactions intensity between elements of the socio-economic system on two levels: inter-regional relatedness takes place if subjects of interactions are located in different regions, intra-regional if the interactions between residents are located in the same region. Addressing to the analysis and synthesis of the scientific discussion main achievements in the theory of spatial development and institutional theory, historical analogies and empiric results of implementation of different level integration projects allowed to provide the proof for the following hypothesis: economic policy that shapes up the basis of regional development must entail instruments for economic space relatedness measurement, assessment and administration as its inseparable elements, and these instruments must have reasonable theoretic and methodological basis. We propose a conceptual model for taking decisions concerning regional development parameters and dynamics, which considers economic space relatedness, both inter- and intra-regional. Its practical implementation provides an algorithm for examining the existing interrelations within a region and beyond its borders, as well as their basis and supporting factors. The model’s fundamental principle is multidirectional effect of relatedness forces onto socio-economic development parameters of the region. This allows to consider actual asymmetry and unevenness of economic space and provides variability of the decisions that can be taken towards existing relations.

Suggested Citation

  • Aleksandra Polyakova & Irina Simarova, 2014. "The conceptual model of a region development administration considering the level of spatial relatedness," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 32-42.
    • Handle: RePEc:ura:ecregj:v:1:y:2014:i:2:p:32-42
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    Citations

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    Cited by:

    1. A.G. Polyakova, 2018. "A Model of Regional Economic Space Modernization," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 624-634.
    2. V. Kolmakov & K. Ekimova & K. Ordov & A. Aliev & N. Tchuykova, 2018. "Monetary Policy Influence on Companies’ Competitiveness through Credit Channel," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 614-623.
    3. O.V. Yamova & M.S. Maramygin & I.V. Sharova & J.N. Nesterenko & N.V. Sobina, 2018. "Integral Valuation of an Enterprise’s Competitiveness in the Industrial Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 777-787.
    4. Pavel Popov & Igor Miretskiy & Elena Loginova, 2017. "Efficient Location of Distribution Centres and Warehouses in the Territory of a Region," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 871-882.
    5. M.P. Loginov & E.E. Noeva & G.A. Volkovitckaia & A.A. Murinovich & A.I. Serebrennikova, 2018. "Competitiveness-based Typology of the Russian Regions," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 787-796.
    6. N.V. Gryzunova & J.S. Tsertseil & V.V. Kookueva & Dg.S. Zaharova, 2018. "Monetary Policy and Clustering for Achieving Competitiveness in National Bussiness," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 480-490.

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