Зеленый свет ноу-хау
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.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.