ИССЛЕДОВАНИЕ ФАКТОРОВ РОСТА ПРОМЫШЛЕННОСТИ РОССИИ С ИСПОЛЬЗОВАНИЕМ ПРОИЗВОДСТВЕННОЙ ФУНКЦИИ
Object: Modeling and analysis of production function for branches of Russian industry. Methods: correlated and regression analysis. Results: Three production functions were constructed: for manufacturing industry, for extractive industry and for production and distribution electricity, gas and water. The analysis of the coefficients shows that the main growth factor of manufacturing industry is labor. For the extractive industry a role of capital is more important. Scientific newness: Production functions for three branches of Russian industry were ware constructed. The way to construct a production function based on Russian statistic was suggested. The conclusions about growth factors for manufacturing and extractive industries were made. Substance: The model helps to forecast growth of Russian industry because of changes in the productive factors.
Properties of increasing positively homogeneous functions are studied; in particular, their representations by use of tropical inner products with coefficients chosen from tropical support sets are described. An application to a model of economic complementarityand weak links is developed. It is shown that weak links do not necessary bound total factor productivity from below but in some cases constraint it from above.
In the present paper the game theory is applied to an important open question in economics: providing microfoundations for often-used types of production function. Simple differential games of bargaining are proposed to model a behavior of workers and capital-owners in processes of formation of a set of admissible factor prices or participants’ weights (moral-ethical assessments). These games result, correspondingly, in a factor price curve and a weight curve – structures dual to production function. Ultimately, under constant bargaining powers of the participants, the Cobb-Douglas production function is received.
The monograph presents the results of calculations of the human capital dynamics and structure for the Russian economy in 1991-2012 years, using the method of accumulated costs by analogy with the calculation of the fixed capital volume. Analysis of the human capital contribution implemented on the basis of the production function model; original mathematical-statistical methods providing stability and economic interpretability of the results developed.
One of the sections of economic and mathematical modeling is a section dedicated to the modeling of economic dynamics of large systems. The model in this section is a system of equations and inequalities, describing a closed production cycle - from the formation of the main production resources to replenish their next production cycle due to the distribution of results for the resumption of production and growth of resources. Such a closed system of equations and inequalities reflects the fundamental relationship of real economic production systems, and therefore can be used in a variety of economic experiments. With their help it is possible to determine the results of the regulatory impact on the economy, to assess the significance of various measures of state regulation - from changes in the tax system to a variety of protectionist measures. This book is a new model of economic dynamics, based on the principles of complex-economy. Using models of complex variables allows us to describe these economic processes and relationships that are either difficult or impossible to describe using models of real variables.
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.
The new economic-mathematical model based on complex variables theory and the new approach to complex variables usage in economics are suggested in the article. The comparison of modeling results of actual production processes using Cobb-Douglass production function and complex variables production function is conducted. It is shown that the instrumental base of economicmathematical methods can be widen with usage of complex variables theory.
Selected works of George Kleiner on economics and mathematics in occasion of his 70th birthday.
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.
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.