Foresight for the 'energy' priority of the Russian Science and Technology Strategy
National science and technology priority-setting has been an important and regular exercise performed by developed and many developing countries. This is very relevant for the conservative energy industry with long investment cycles. The future of energy is shaped by today's investments in research and development.
The Strategy for Science and Technology Development of the Russian Federation (2016) features seven priorities, one of which is related to “the transition to environmentally friendly and resource-saving energy industry”. The paper describes the foresight study of this energy priority that was launched to identify the focus of related future comprehensive science and technology funding programs. The design, methods and outcomes of this study that frame the future science and technology development in Russia's energy industry are discussed together with research and policy implications.
This collection of essays from leading energy, strategic, and economic policy think tanks focused on how energy relations are forming in the 21st century offers energy scholars and policy makers answers to what these increasingly close relationships mean for international politics and trade.
The paper reports the results of the cognitive mapping procedure applied to a series of interviews with the reviewers of the Russian Foundation for Basic Research. The procedure can be qualified as a qualitative research method, which allows to produce a graphic representation of the cognitive content of the respondents’ speech. The interviews touched upon the criteria and methods used by the reviewers in evaluating research proposals, as well as the value basis of the Russian scientific community. Cognitive mapping was applied to 15 interviews, which allowed to conclude that the examined group possessed coincident beliefs in regard to the following themes: recognition of the crucial value of the information about the principal investigator for the review process; understanding basic research not so much as purely curiosity driven but as aimed at a distant practical goal, which is viewed as an argument for funding a wide range of different basic research topics; accentuation of the meaning of earnings and favorable work conditions as motivations to engage in science as opposed to purely creative and self-actualizing motives; accentuation of the emigration of young talented researchers or their choice to engage a different career path as a key problem of science in Russia.
The article deals with the problems of planning science and technology development. The author considers two lines of theoretical models: mathematical economics and evolutionary empirical. A more detailed analysis focused on the problems of the statistics for the construction of mathematical economic models of scientific and technological development. On the example of Russia the author shows that the problems in theoretical basis lead to contradictions in state priorities of science and technology development.
Studies rarely focus on the double interplay between the innovation potential of a company, its business model and the structure of the market faced by the company. This interplay is especially important to Russian companies working in various industries of the energy sector. Multiple initiatives launched by the Russian authorities have been intended to foster innovation in technological sectors of the Russian economy. These initiatives are often based on one or another preconceived notion of a fundamental structural framework expected to produce the best result. Focus on mergers and acquisitions is a major part of this framework in both public and private organizations. This chapter shows that mergers and acquisitions per se have little influence on innovation potential of the resulting organization. Vice versa, a proper strategy based on the clear-cut competitive advantage and the specialization corresponding to this advantage is more productive way to foster innovation in an energy company. Such a specialization can be later followed by a series of mergers and acquisition. But if this initial step has been ignored or neglected, the subsequent mergers cannot start corporate innovation. This thesis is illustrated with three cases (Eurasia Drilling Company or EDC, TGT and Rosgeologiya) described below.
The article deals with the problems of interaction between science and technology, innovation and industrial policy in Russia. In spite of the substantial intensification of the state policy in establishing of the new elements of the national innovation system, the coordination between different policies continues to remain weak that leads to inefficient use of resources under tight budget constraints. The author offers a set of actions aimed at improving the coordination.
During the last decade new systems of strategic tools of science, technology and innovation (STI) policy has been established in many developed and developing countries. Science and technology (S&T) Foresight in a variety of its forms and implementations is an integral part of these systems. The paper is devoted to the creation of the Russian system of technology Foresight. It provides a brief comparative analysis of S&T Foresight systems in different countries, their roles and practical applications in the government decision-making. The analysis of the Russian experience of S&T Foresight is used to identify major challenges and barriers for its use for development of government STI policy. The main aims, objectives and principles of the national system of technology Foresight are discussed.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
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.