Given the recent economic situation in Russia, occurred due to the fall in oil prices and sanctions restrictions it can be concluded that in the foreseeable future, most of Russia’s budget revenues will amount to non-oil revenues. In this connection it is necessary to create conditions for improving competitiveness of the domestic industry and its diversification. This problem cannot be solved without government assistance. The article discusses one of the most important measures of the state support for industrial investment projects implementation — Projects Financing Program (RF Government Resolution of October 11, 2014 № 1044). The article presents detailed specifications, conditions, advantages and disadvantages, as well as results of the Projects Financing Program functioning in 2015. Special attention is paid to describing selection procedures of investment projects and principals with timelines and performance characteristics of each of its stages. Based on the analysis of key aspects of projects selection and funding within the Projects Financing Program a number of recommendations for stakeholders of this process is formulated.
The course of artificial intelligence development in the XXI century in the context of formation of new technological modes and post-nonclassical management paradigm can be forecasted based on analysis of its many-sided and thorny historical retrospective. This way, of course, is not assured from unexpected traps. However, they can be avoided by finding new solutions in unfamiliar spaces for modeling, based on other approaches to solving complex problems and semantic interpretation of data by synthesizing for these innovations still unknown materials for computer memory and processors.
This article analyzes government programs as a major tool to improve the efficiency of budget spending. The author proposes specific measures to improve the system of evaluating effectiveness of the government programs in the budget process.
The article shows that in applied problems of multicriteria selection it isn’t necessary any more to formalize criterion mathematically as a function. It can be defined by means of verbal language as the name of significant feature of selection option. It is possible to use criteria, understood as a function, in fundamental research. Moreover, specifics of multicriteria selection as scientific-applied direction is disclosed: it is shown that it is not reduced to optimization theory as such.
The article focuses on the problems of improving domestic economic policy of Russia. According to the authors, in the coming decades possibility of embedding our economy into the world economy on acceptable to us terms is practically excluded. This necessitates the formation of an internal integrated economic system (IES) corresponding both to external realities and to objectives of emerging social state. At the same time the IES construction should begin with formation of the enterprise share capital as the basis of an integrated economic system. We believe that during formation of the enterprises share capital and the IES such structure forming principles should be considered as democratic centralism and centralized democracy (some combination of centralized and decentralized fundamentals). The article also discusses some issues of education, enterprises functioning and management with regard to the new principles of corporatization.
The article presents an original concept of the economy structural development. As methodology is used the concept of cluster development, worked out by the author, and the principle of subsidiarity, which gets a new interpretation in the framework of this concept. Analyzing structural development of the property management system, the author shows that structural development of the economy is associated with transition from property management models, based either on the unified property mobilization (public ownership and state management) or on the specified property mobilization (individual-public property, private property) to models based on cluster-oriented, unified-specified property mobilization. The article proves that transition from the current hierarchical property cluster to subsidiarycluster property mobilization is the main condition for sustainable economic growth.
Comparative analysis of approaches to the indicative assessment of scientific workers efficiency in academic and industrial institutions and educational organizations is held.
The purpose of the article is to justify theoretically the possibility of achieving the maximum social efficiency of public spending, investment and taxes in perfect balanced open economic system. Ideally, the proposed model ( “zero losses” of public spending and investment social efficiency) can always lead to the maximum possible rate of economic growth, which allows to substantiate the main directions of the appropriate macroeconomic (financial, tax and fiscal) policy.
The article describes the principle of creating a network of live supercomputers. It proposes a theory of internal time as the basis for managing evolution. It introduces a universal constant of psycho-engineering and describes the principle of psychogenic systems calibration. A model of technological singularity is proposed. The article also examines four basic attributes of a new vision of the Future presented by the Russian President V.V. Putin at the UN Summit on Sustainable Development.
Today the problems of efficient innovation development are in the spotlight of government bodies. Obviously, only in this way it is possible to succeed in improving the national economy competitiveness in the medium and especially in the long term. This understanding was formed as a result of evaluating the existing resource constraints, consequences and prospects of wide spread of information and computer technologies, biotechnology, alternative energy sources, automation of production processes and so on. It has become even more prominent on the background of the global financial crisis, hardly predictable high volatility in commodity markets and environmental problems aggravation caused by the use of technologies hostile to environment.