A scientific program and paradigm of classical economics is in focus of the paper. The different versions of the periodization and wording of the distinctive features and principles which make a basis of classical economics can be observed in the research literature and study materials. The paper considers the criteria according to which any research could be referred to a certain economic theory and basic distinction between classical economics and neo-classical one which mainly lies in fact that neo-classical economics refused from an objective character of economic laws and adopted a criteria of the minimal number of initial hypothesis as a major principle of building an economic theory. The elements of continuity of paradigm can be noted in classical economics and certain institutionalism concepts. The difference in methodology of institutionalism and classical economics mostly lies in fact that institutionalism is based on positivism whereas classical economics assumes a standard model of economy. However, the continuity of views of both of them ban be observed in a class nature of society and differentiation between a phenomenon and its essence as well as in interdependence between economic and social life.

The article presents the historical background and the stages of formation and approval of the concept of system-innovation bibliometriс analysis and mapping of economic literature (SIBAMEL). We show that the roots of modern system and bibliometric analysis are in the ancient Indian treatise «Arthasastra» and in some other old documents and works. The Department of Economics of the National Research University – Novosibirsk State University and the Institute of Economics and Industrial Engineering of the Siberian Branch of the Russian Academy of Sciencescreated and developed this concept SIBAMEL. JEL subject classification and the electronic bibliography EconLit are important foundation for suggested variant of bibliometriс analysis. It is necessary to stress the role of special techniques and software that were elaborated in the framework of the SIBAMEL. The concept received approval in different research, education and publication projects. This approbation provided a number of new results for the development of research and professional education. This article contain the brief presentation of new project on the EconLit basis. This project shows new directions of economic research, which has grown on the intersections of 822 subject micro fields of JEL classification in 2006-2013. The American Economic Association gave her kind permission to publish the results of the new project in English and Russian.

The paper considers spatial distribution of economic activity of small business enterprises in Siberian federal district, effect of market size and communication costs on productivity is tested. Usage of results of full-scale federal statistical observation on activities of subjects of small and medium entrepreneurship conducted by Federal State Statistics Service (Rosstat) in 2011, allows to analyse regional development on municipal level. Spatial concentration is estimated with Theil index. Local market size and intensity of interactions between agents captured by population density, market potential is used as a measure of accessibility of a municipality to other markets. Estimations of econometric models reveal significant positive relationship between mentioned above factors and performance of small and medium enterprises in different sectors of economy.

One of the most important conditions of the existence of every organization, every enterprise is to insure the long-term sustainable development, one of the conditions of which is the increase of an organizational competitiveness. In modern economic conditions, social aspects of competitiveness are now in the foreground of interest, because just the strategy of social responsibility (SSR) of modern enterprises can assure some commercial benefits, in responding, at the same time, to the social demands and in creating its well-being. Such an approach is in the basis of the notion of competitiveness. Along with «rigid parameters», such as price characteristics, the capability to deal with competitors, effective financial and production policies, «flexible factors» of competitiveness are of a big importance: a personnel potential, individual and collective competencies, organizational and managerial capabilities. As a result, we have formulated a research hypothesis: the organizational competitiveness is defined by individual and collective competencies of an organization, is based on socially responsible actions, confirms the demand for the object and insures its sustainable long-term development. Any organization should base all its actions aimed to increase its competitiveness on its intellectual potential, or on the management of individual and collective competencies that assure the sustainable development and the goal achievement. For every organizational strategic action, an effective combination of these competencies exists. So, we suggest a new definition of competitiveness: it is a social and economic category of understanding of the social responsibility, having as a central element individual and collective competencies, based on socially responsible actions of an enterprise, insuring its long-term sustainable development.

The article is devoted to the study of integration processes in the securities market in the countries of the post-soviet region. Development of integration processes in the securities market is one of the most important prerequisites for sustainable economic development in the region. The purpose of this study is to identify and study the prospects of integration of the securities market in the CIS countries. Based on the research objectives the article considers the current state of integration processes in the securities market, the possibilities and prospects of integration, as well as the main positive aspects and challenges of integration. The article, in particular, considers the opportunities and challenges associated with the development of integration processes in the regulated securities market, as well as depository, clearing and settlement systems.

Momentum-effect has many interpretations in the practice of investing and in understanding of anomalies in asset prices. We consider a Cross-Sectional momentum effects and the corresponding two medium-term (3 months or more) trading strategies that are different from the trend following rules for individual assets. We tested four hypothesis deals with cross-sectional momentum effect on the Russian stock market and the possibility of building a self-financing (long-short) trading strategy at three time horizon (stock market growth from 2004 until mid 2008, financial crisis and post-crisis periods). It is shown that for the Russian market cross-sectional momentum strategy with partly rebalanced portfolio maximizing portfolio return (134 stocks listed from 2004 to 2014 in the few Russian stock exchanges) should be based on the three-month formation period and three-month holding period periods (3/1/3). We have identified elements of profit-maximizing momentum strategy: three time windows and determinants of assets. Monthly average return of arbitrage strategy is estimated at 1.5 % for 134 common shares. Implementation of the strategy for the post-crisis period does not allow to maximize profit. For 6- month and more investment windows it gets the advantage of reverse strategy (opening long positions in stocks with low investment results and short position for assets with high relative returns). Fundamental parameters of the issuer (size of companies like market capitalization and two measures of liquidity (trading activity and transaction costs like bid-ask spread)) are significant to maximize portfolio performance (we prove the growth of monthly average return ranging from 1.5 to 2.5 %). We find that size and liquidity control momentum strategy can earn positive profits in Russian stock market, larger than naïve momentum.

Development of oilfield is a long term capital-intensive investment project, which is characterized by incomplete and inaccurate information about conditions of its realization. Efficiency evaluation of license area development is impossible without accounting uncertainty associated with oilproduction. The article analyzes the current state of the Russian oil industry, highlights the mainrisks affecting the activities of oil companies. Classification of risks in the qualitative and quantitative characteristics is suggested. Methods of economic efficiency evaluation of investments in oil field development in new production regions are considered, the expediency of the fuzzy set theoryapplication is shown. The task of expert systems building for efficiency evaluation of oil field development in terms of uncertainty in risks by investor is actualized. Scheme of an expert system for efficiency evaluation of oil field development using elements of theory of fuzzy sets is proposed.

Currently, the Russian government pays great attention to the field of higher and postgraduate education. But in the Russian scientific literature there are gaps related to the effectiveness of theoverall evaluation of the higher education sector. The article dwells upon the problem of interregional income spread of the Russian population. Empirical estimator of difference influence accounting for human capital accumulated in Russian regions on wage levels and maximum increase of total wage levels and population income for 2001–2011 is carried out. Higher education, exceeding the influence of accumulated volume of the main funds, has a great influence on income spread in Russian regions. Besides, increase of higher education fund in Russian regions contributes to the population’s wage increase and growth in income, but at the same time it decreases legal wages. Results of the study extend knowledge of the economics of education of the Russian Federation.

Continuing stagnation in the Russian economy makes a compelling case for structural reforms and transition to new technologies in non-financial sector. Given the backdrop of investor choice to wait out the situation and pause their investments, stagnation threatens to remain for longer. The biggest concerns are related to the slowdown in the range of high-tech non-resource manufacturing industries. These industries should become the cornerstone to foster the development of scientific, technical, and innovative potential of the country, overcoming the technical deficit, and implementation of modern technologies of the sixth technological generation. The article assesses the place and role of manufacturing industries in Russia’s economy and presents an analysis of dynamic shifts in their structure during the business cycle. The article demonstrates the results of empirical study of monitoring of innovative receptiveness of manufacturing industries. We discuss the directions of expanded cooperation between business and state. We also outline opportunities for correcting policies and tools directed at activating innovative functioning of the manufacturing sector in the view of the growth of geopolitical tensions, forms and methods of effective institutional management of the modernization of business units. It appears that the issues of investment maneuver to single out some types of economic activities, which manufacture products and services with high added value and increasing competitiveness of the Russian economy, call for the change in the model of economic development.

Currently, the creation and dissemination of new technologies are implemented with substantial government support. The paper analyzes the experience of public policy to stimulate demand for innovation by the example of emerging technology. The experience of the United States, the European Union and China is demonstrated. Firstly the formation of long-term priorities of technological development is demonstrated, then the priorities and innovation policy instruments used at different stages of the innovation cycle are considered. At the end the experience of the implementation of major government initiatives of the EU and the U.S. in stimulating demand for new technologies is presented.

The market economy causes need of development of the economic analysis first of all at microlevel, that is at the level of the separate enterprises as the enterprises are basis for market economy. Therefore improvement of the queuing system trading enterprise is an important economic problem. Analytical solutions of problems of the mass servicing are in described the theory, don’t correspond to real operating conditions of the queuing systems. Therefore in this article optimization of customer service process and improvement of settlement and cash service system trading enterprise are made by means of numerical statistical simulation of the queuing system trading enterprise. The article describe integrated statistical numerical simulation model of queuing systems trading enterprise working in nonstationary conditions with reference to different distribution laws of customers input stream. This model takes account of various behavior customers output stream, includes checkout service model which takes account of cashier rate of working, also this model includes staff motivation model, profit earning and profit optimization models that take into account possible revenue and costs. The created statistical numerical simulation model of queuing systems trading enterprise, at its realization in the suitable software environment, allows to perform optimization of the most important parameters of system. And when developing the convenient user inter-ace, this model can be a component of support decision-making system for rationalization of organizational structure and for management optimization by trading enterprise.