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The determinants of the distribution of foreign direct investment in Russian food industry companies


  • Gladysheva, Anna

    () (National Research University Higher School of Economics, Moscow)

  • Ratnikova, Tatiana

    () (National Research University Higher School of Economics, Moscow)


What do foreign companies take into account when they invest in Russian food industry enterprises? The sample of about 5000 enterprises of the food industry from different Russian regions is analyzed to give the answer to this question. The most interesting points for the investigation are formulated as two hypotheses. The first one is connected with the level of economic development of a region where the particular company is situated, the other one is about the foreign direct investment during previous periods in this region and the neighboring ones. To test the hypotheses on the base of the idea of spatial effects of analyzed factors several special variables are constructed. The estimation of a multilevel binary model gives the idea for the possible explanation of the problem discovered above.

Suggested Citation

  • Gladysheva, Anna & Ratnikova, Tatiana, 2013. "The determinants of the distribution of foreign direct investment in Russian food industry companies," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 29(1), pages 97-116.
  • Handle: RePEc:ris:apltrx:0205

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    References listed on IDEAS

    1. repec:wsi:wschap:9789813277014_0002 is not listed on IDEAS
    2. Bruce A. Blonigen & Ronald B. Davies & Glen R. Waddell & Helen T. Naughton, 2019. "FDI in Space: Spatial Autoregressive Relationships in Foreign Direct Investment," World Scientific Book Chapters,in: Foreign Direct Investment, chapter 2, pages 55-88 World Scientific Publishing Co. Pte. Ltd..
    3. Gregory J. Brock, 1998. "Foreign direct investment in Russia's regions 1993‐95. Why so little and where has it gone?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 6(2), pages 349-360, November.
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    Cited by:

    1. Anna Gladysheva & Tatiana Ratnikova, 2014. "Observed and unobserved regional determinants of FDI inflows: micro level analysis of the food industry firms in Russia," ERSA conference papers ersa14p111, European Regional Science Association.

    More about this item


    foreign direct investment; food industry enterprises in Russia; Russian regions; binary model; multilevel binary model with regional effects; spatial weights matrix; agglomeration effect; market potential;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods


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