Эконометрический анализ спроса на въездной туризм в России
In this work the demand for the incoming tourism in the Russian Federation is modeling. The panel data for 16 countries - the basic sources of tourist streams - and the period with 2000 for 2009 are used. Modeling is spent separately for each of 10 tourist zones of Russia. In quality a determinant of demand there are considered a total national product in a country of origin, the exchange rate, transport charges, cost of residing, lag of the demand variable and the fictitious variables reflecting influence of shocks in quality a determinants of demand. The received estimations of dynamic models of demand correspond to expectations, are statistically significant and can be useful in practice of planning of development of entrance tourism in various municipal formations and regions of Russia.
We proposed the nonlinear dynamic model of the formation of the market prices of precious metals based on the econophysic considerations. This model is a system of three ordinary differential equations relating the time dependence of elasticity, variations of bid and ask prices; it is similar to the Lorenz system. The areas of the dynamic stochasticity in experimental data were found with the comparing of the experimental and the theoretical ask and bid prices. These areas are the precursors of the crisis mode in the form of dynamic chaos.
Using panel data for the 2001-2008 period we estimate the gravity model of migration between Russian regions. We show that though the migration flows have been quite stable, their determinants have changed substantially. Our special attention is drawn to the role of distance between the regions. Our special attention is drawn to the role of distance between regions as one of the main factors of migration. Dividing pairs of regions into nine groups according to the distance between regional centers, we estimate the model for each group separately. We find out that social and economic factors are affecting migration mainly between nearby regions. Yet the intensity of flows between distant (>500 km) areas is almost uncorrelated with indicators of social and economic development of regions.
Supply chain management is rather new scientific field that reflects the concept of integrated business planning. This concept should be experts and practitioners in logistics and strategic management. Today, integrated planning to become a reality thanks to the development of information technology and computer technology. At the same time to achieve a competitive advantage is not enough high-speed, low-cost data transfer process. In order to effectively apply information technology tools necessary to develop a quantitative analysis of the effectiveness of supply chain management. The mam element of this tool are optimization models that reveal the complex interactions, the wave and the synergies that arise in supply chain management. In this article we consider one of the classes of such models - the so-called dynamic models of conveyor systems, processing of applications.
Authorities of the state regulation, creditors and investors are interested in getting reliable information about the banking sector activities. The procedure of bank financial soundness and accountability evaluation is carried out by supervision authorities as well as by international and national rating agencies. The analysis of the methodologies of bank accountability evaluation and forecasting in Russia shows the following results. The Bank of Russia makes decisions on banks financial soundness based on financial coefficients of different groups; the calculations are grounded on the official bank statements. Apart from financial indicators, rating agencies evaluate qualitative parameters of the bank activities. The common problem of the bank financial accountability analysis in Russia is the lack of use of the forecasting methods predicting the financial statement of banks and the probability of default. As a result, the problem-free banks corresponding to the demands of the supervision authorities on standards were considered to be problematic during the crisis. The aim of this research is the dynamic analysis of the main indicators of the Russian banks activities at the different stages of the economic cycle in order to identify the indicators of the early bankruptcy prediction and the opportunity to forecast the changes in the bank financial statement.
An attempt to model the migration flows at regional and municipal level for the period 2003-2008 in Russia is made. Research corroborates the importance of "poverty traps" in determining migration in Russia. Main flows originate from regions and municipalities with higher wages, that means from more social and economic developed territories. Despite stable social and economic development the constraints that do not allow citizens to change their residence still exist in the regions. However, according to the results of internal migration modeling in one of the Russian regions, the poverty trap effect is insignificant for relative close movements.