Посткризисные тенденции развития малых промышленных организаций России
International experience demonstrates that successful development of national economy is inseparably linked with the use of innovation potential of small business – the most dynamical and flexible sector of economic activity. However, in order to use the maximum extent possible and, consequently, increase the economic return it is necessary to have a profound array of realistic and operational information that includes numerous aspects and entrepreneurial behavior’s motivation. Within a post-crisis business environment its role in socioeconomic development of the country has significantly increased and pointed out the necessity and relevance of researches that study and analyze business climate. Available Russian statistical data collection reflecting the condition of small business primarily from a quantitative point of view is insufficient not only because of its coverage but also because of estimation methods, which reduces the possibilities of analysis of current changes. Unfortunately, modern studying and analyzing methods of considered subjects show an obvious informational gap in researches that are based on the regular environment surveys. Application of this tool is especially significant for the economy in the circumstances because of the limited opportunities to complete economic information by means of existing quantitative statistical practices. This paper presents a complex analysis of business climate in the manufacturing industries in 2013. The research is based on sample business environment surveys of more than 2.5 thousand small businesses in the field of industry (sections C, D, and E of the Russian Classification of Economic Activities) conducted by the Federal State Statistics Service for 2008-2013.
Articles published in the colection were presented at an international scientific conference (name and specified on the cover). The texts contain the results of scientific work of autors in the field of science which is indicated on the cover/
Proceedings of the 8th IEEE Conference on Standardisation and Innovation in Information Technology (SIIT)
UK corporate tax reform, corporate tax in Russia and tax relief system were considered and described in the article. Also it was made an attempt to apply UK experience of innovative activity encouragement through corporate tax regulation to Russian economy.
We consider the realization of the development strategy for the university in the context of global, national and regional trends. We show how the implementation of innovative forms of educational process and research work of teachers and students, co-operation with key partners are able to turn a new school in a leading regional university of socio-economic profile.
The article is dedicated to fiscal incentives for business angels. Business angel, a comparatively new phenomenon in Russia, is defined in the first part of the article. The second part is a research of fiscal incentives intended for private investors in order to encourage them to support small innovative enterprises. The research is based on European and North American experience. Finally, the third part suggests the ways of creating a system of fiscal incentives for business angels in Russia.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.