ИНСТИТУТЫ РАЗВИТИЯ И ИННОВАЦИИ
development institutions in the last decade and a half, models and conditions
for their activities, the main results. The authors analyze features of the current
development institutions system as a whole, its key changes and main trends.
Particular attention is paid to the study of internal imbalances in the development
institutions system, as well as external constraints to improve its effectiveness.
This article is dedicated to identifying innovative firms. A wide-spread process for identifying innovativeness in firms and its relationship to the high-techsector is exposed to criticism. It is confirmed that large expenditures on R&D in a firms sales, which, according to international methods, is a sign of a hightech focus within a firm, is not typical for many types of innovation, particularly in industries dealing with the diffusion and application of knowledge. The special role of non-high-tech innovations for modernizing the Russian economy is emphasized.
The conceptual model of a network engineering platform, which provides the transfer and cross-application of technologies among the knowledge generationenvironment (universities and research institutions), the environment where the knowledge is technically realized (industry) and the equipped environmentof development catalization (venture funds and agencies) is presented in the article. The analytical design of the issue has been assumed as a basis for buildingan expertise and engineering consortium that provides the combination of research and production aimed at rapid technical realization and innovations commodification.
Nanotechnology clusters found in Russia are studied. The overview of innovation regional programs is presented. It is shown that institutionally Russian regions are not ready for modern technologies implementation. The main ideas of regional experts on perspectives and tendencies in nanotechnology are reviewed. The mathematical model that describes the dynamics of innovative clusters is presented. Its application in some cases in regard to nanotechnology is shown. The issue of deliberate changes in society development (that is equivalent to changes of model parameters) by appropriate measures is discussed.
ISSUES OF THEORY
Mathematical methods are only one moment in a layered process of theory generation in political economy, which starts from Schumpeterian vision, progresses to the identification of relevant abstractions, the development of mathematical and quantitative models, and the confrontation of theories with empirical data through statistical methods. But today the relevant abstract problems of political economy are modified to fit available mathematical tools. The role of empirical research in disciplining theoretical speculation, on which the scientific traditions integrity rests, was undermined by specific limitations of nascent econometric methods, and usurped by ex cathedra methodological fiats of theorists. These developmentssystematically favored certain ideological predispositions of economicsas a discipline. There is abundant room for New Thinking in political economy starting from the vision of the capitalist economy as a complex, adaptive system far from equilibrium, including the development of the theory of statistical fluctuations for economic interactions, redirection of macroeconomics and financial economics from path prediction toward an understanding of the qualitative properties of the system, introduction of constructive and computable methods into economic modeling, and the critical reconstruction of econometric statistical methods.
LABOR AND SOCIAL ECONOMICS
Education, healthcare and pension system are the key sources of modern economic growth. They need profound transformation based on post-industrial challenges. The new principles of transformation of these sectors include individualization of services, their privatization (a rising role of private spending), life-long demand for them, globalization (international competition), and development of radically new technologies to provide them.
The article deals with higher education reform in Russia. Special attentionis paid to the innovations after the Federal law No 83 was adopted (2010). The authors analyze whether the reforms lead to financial self-dependence of universities, whether they do create a more competitive environment (which promotesa better education), and how the normative per capita financing affects the higher education system. Аnalysis of the first reform steps shows: the results are contradictory, many applied methods do not lead to the desired effect. The main obstacles are other institutions: first of all the system of higher educationinstitutions accreditation and licensing. For further efficiency growth of higher education political (administrative) methods are needed. Only after application of administrative methods the economic methods will work properly. During the reforms it is also necessary to account for the social situation in the country.
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the economy in the short run, medium-term growth prospects are constrained.
To address these challenges Russia should continue to strengthen the conduct
of macroeconomic policy and tackle long-standing structural bottlenecks.
An ambitious fiscal adjustment is needed to ensure that economic growth is
balanced, fiscal policy is not pro-cyclical, and oil wealth is spent equitably
across generations. Meanwhile, monetary policy should be tightened to keep
underlying inflation on a declining path. The increased exchange rate flexibility
has been a major policy advancement and is helping the Russian economy
absorb external shocks, including spillovers from the international financial
turbulence. A stronger supervisory framework is key to promote sound financial
intermediation. Critically, the new government should deliver promptly on longawaited
structural reforms, including measures to improve the investment climate.