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Spatial concentration of production and investor expectations: the analysis of branch attraction of investments into regions

Author

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  • Lapo, Valentina

    (Siberian Federal University, Russia)

Abstract

The investigations of spatial concentration in Russian Federation have revealed, that the expectations of production factors owners and processes of spatial concentration play the significant role in formation of spatial structure of the investment in RF The leading role in this process in Russian Federation belongs to capital inflows During crisis the economy of Russia, as well as other economies, was in area of so-called bifurcations, inside which the changes of economy development trajectories are possible In this unstable phase especially it is important to take into account the factors of formation of spatial structure and to promote the engaging of additional investments in regions, and first of all, the capitals of private investors For research of this problem the econometric model of joint dynamics of expected yield and investment is developed On its basis a role of infrastructure, agglomeration factors, regional public expenditures, expectations of investors are tested in engaging the investment in regions The model of investment in branches of regional economy was estimated The testing of econometric model on Russian data has allowed verifying the influence of expected yield and agglomeration factors on spatial structure of investment in regional branch complexes, to evaluate the effectiveness of central and regional government’s policy on volume of attracted investment in regional branch complexes of Russia

Suggested Citation

  • Lapo, Valentina, 2010. "Spatial concentration of production and investor expectations: the analysis of branch attraction of investments into regions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 18(2), pages 3-19.
    • Handle: RePEc:ris:apltrx:0009
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    Cited by:

    1. Lapo, Valentina, 2013. "The economy of Russia in multipolar world," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 30(2), pages 26-48.
    2. Valentina Lapo, 2012. "The spatial structure of the Russian economy and the multipolar world," wiiw Balkan Observatory Working Papers 106, The Vienna Institute for International Economic Studies, wiiw.
    3. Lapo, Valentina, 2014. "Efficiency of investment stimulation methods in a timber industry complex: An econometric research," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 30-50.

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    More about this item

    Keywords

    the capital; investments; agglomeration; expectations; the production concentration; regions;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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