Manufacturing (co) agglomeration in a transition country: Evidence from Russia
We document the geographic concentration patterns of Russian manufacturing using detailed microgeographic data. About 80% of three‐digit industries are significantly agglomerated, and a similar share of three‐digit industry pairs is significantly coagglomerated. Industry pairs with stronger buyer–supplier links—as measured using Russian input–output tables—tend to be slightly more coagglomerated. This result is robust to instrumental variable estimation using either Canadian or US instruments. Using Canadian ad valorem transport costs as a proxy for transport costs in Russia, we further find that industries with higher transport costs are more dispersed, and industry pairs with higher transport costs are less coagglomerated.
This book focuses on the questions of how territorial differences in productivity levels and unemployment rates arise in the first place and why territorial differences in labor market performance persist over time. Unemployment divergence and unemployment club convergence have been touched on in a large number of works and have recently also been studied using spatial econometric analysis. In this book we aim to develop the debate to include several important new topics, such as: the reasons why structural changes in some sectors cause slumps in some regions but not in others; the extent to which agglomeration factors explain regional imbalances; the degree of convergence / divergence across EU countries and regions; the role of labor mobility in reducing / increasing regional labor market imbalances; the impact of EU and country-level regional policy in stimulating convergence; and the (unsatisfactory) role of active labor market policy in stimulating labor supply in the weakest economic areas.
We consider the dependence of the growth arte on the elasticity of substitution within the framework of a model with the agents' mutual dependence. This model is interpreted as a network structure. the development is explined as the agents' valus increase in a dynamic system described by functions which display constant elasticity of substitution (CES). We investigate the cases of high and low complementarity of activities. In particular, we receive conditions allowing to identify the cases when the elasticity of substitution has the positive (negative) effect on growth rate under high (low) complementarity of activities. Additionally we analyse the influence of the individual agent's productivities on the growth rate. Finally we give a potential generalisation of the model allowing for different growth rates of the agents.
We study Krugman's core–periphery (CP) model for most general cases of nonidentical regions and fully characterize instant and long-run equilibria. Assuming immobility of labor, we describe the behavior of equilibrium wages/real wages. Moreover, the relative wages/real wages of industrial workers can both increase and decrease with the population with which they are associated. Under the assumption of industrial labor mobility, possible patterns of economic evolution, as responses to trade freeness, are fully described. We show that in the case of noticeable agricultural asymmetry, all mobile labor inevitably accumulates in countries with larger agricultural populations.
We study multiregional extension of Krugman's Core-Periphery model. Comprehensive characterization of agglomeration stability
is obtained in terms of the basic parameters of model. In particular, condition of uniqueness of the stable total agglomerated equilibrium were obtained. The main feature of this paper is that the considered model is asymmetric, i.e., uneven allocation of the immobile (agricultural) population across regions is allowed. Unlike the previously known results for asymmetric CP model, which were based on numerical simulations, this research is quite analytical.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.