Зависимость от предшествующего развития в сфере пространственного размещения производительных сил – плохая новость для эмпирических исследований агломерационных эффектов
In this research the two mechanisms of the FDI distribution in Russian food industry companies are discussed. We investigate regional characteristics and their spatial lags as determinants of the process. To test the influence of these determinants on the probability to have more than 10% of foreign capital in a company we estimate the hierarchical binary-choice models on a sample of Russian food industry companies (from RUSLANA database, on 2009). According to the results, the hierarchical diffusion of foreign investors is motivated by the seeking of local market and by seeking of the efficiency through lower transportation costs and better investment environment. The local resources in innovations are not significant on this level. When the investors develop new regions they take into account almost all the investigated regional characteristics.
The purpose of the paper is the systematization of new economic geography research, on the analysis of the agglomeration process in region. Priority of the paper is given to the influence of theoretical research. Scientific novelty of the work is to specify the theoretical and methodological foundations of the agglomeration process due to analyzing the new economic geography attitude. As agglomeration forces facilitating the concentration of economic activity is defined: internal economies of scale, the level of transportation cost, the migration of the mobile labor in response to the wage gap, the elasticity of labor supply, forward and backward linkages of different content and other factors. As important condition is considered the trade costs level between regions. This study suggests that the formation of theoretical models system explaining the agglomeration process is under intense development.
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.