Постшоковый рост российской экономики. Опыт кризисов 1998 и 2008 гг. и взгляд в будущее
In recent years, key users of macroeconomic performance indicators have advocated increasing the availability of more detailed productivity statistics. In particular, expanding growth accounts to the industry level to meet the need for more granular measures of economic performance. In response to this, Australia and Russia have developed estimates of industry level KLEMS (Capital (K), Labor (L), Energy (E), Materials (M) and Services (S)) productivity growth. The chapter considers the progress of Australia and Russia KLEMS projects in terms of data construction and the usage of KLEMS for better understanding of industry sources of growth. For both countries, at least two decades of KLEMS data are now available, supporting more in-depth analysis of the determinants of growth at the industry level.
This work contains an express answer to four questions about what happened in the higher education system at the very beginning of the introduction of quarantine measures: (1) how have universities and the states reacted worldwide? (2) what are the reaction of Russian universities? (3) how do students and teachers perceive the situation? (4) Is there enough infrastructure to implement quarantine measures of remote work and training?
Most of the analytics were collected on an initiative basis, but the most important sections were written on the basis of data collected within the working group of the Russian Ministry of Education and Science to organize educational activities in the context of preventing the spread of COVID-19 infection in the Russian Federation under the leadership of the Department of Youth Policy (in terms of sociological student survey) and the Department of Information Technology in the field of science and higher education (in terms of monitoring infrastructure and opportunities Translation courses in distance learning). Data collection and analysis would not have been possible without cooperation with MIREA, as well as representatives of ITMO University, Ural Federal University, Tomsk State University and support from Mail.ru Group and the Association of Volunteer Centers.
Throughout the world in 2020 the Covid-19 pandemic caused widespread infections, realignments of medical priorities, pervasive shortages and rationing of medical care, increases in the hidden components of morbidity icebergs, and substantial mortality. It also caused two types of international disequilibrium: ‘excess supply’ in the macroeconomic sphere generated by lockdowns and ‘excess demand (shortage)’ in critical product markets (e.g., personal protective equipment). Although the simultaneous and global nature of these phenomena and problems in 2020 were unusual, many of them have been evident in national medical systems over the past decade. The key questions addressed in this article are: (1) What are the relationships between economic systems, government priorities, shortages in health services, and compensatory policies? and (2) How did resource constraints, priority shifts, shortages, bottlenecks in production, and rationing during 2000–2019 influence the initial conditions of medical systems in the UK and Russia in 2020 when confronting Covid-19 epidemics?
Cities possess massive resources, talent and creativity and serve as hubs for knowledge sharing, experimentation and innovation, generating new ideas, embedding these solutions locally and scaling-up successful practices. Cities, however, are not abstract sustainability-making machines; they are places where real people live, work, study and flourish. Cities are made of people, by people and for people. Sustainable measures will have to make sense to inhabitants of cities, making their life more liveable. Furthermore, it is people who drive sustainability and who are its ultimate source and beneficiaries. This vision underpins the notion of people-smart sustainable cities, introduced in this publication.
The Arctic Council is well-positioned to play a leadership role in better understanding the impact of Covid-19 in the Arctic and spearheading activities to respond to the pandemic in the short-, medium- and longer-term. This briefing document was prepared to inform initial discussions regarding the coronavirus pandemic in the Arctic at the Senior Arctic Officials’ executive meeting (SAOX) on 24-25 June 2020. It draws together available information – to date (June 2020) – about the impact of Covid-19 in the Arctic: Briefing Document for SAOs June 2020 For public release Page 10 of 83 Covid-19 and the actions taken to respond in the Arctic region. The document draws from a wide spectrum of sources, reflecting the complex and intricate nature of how Covid-19 affects Arctic peoples and communities, including national and subnational statistical databases and tools, peer-reviewed articles, policy statements, technical guidelines, field surveys, and local observations from Arctic communities.
The coronavirus pandemic (SARS-CoV-2 or COVID-19, 2019nCoV), which, according to the Chinese office of the World Health Organization (WHO), began to spread from Wuhan no later than December 2019, now has secured its place among global security challenges. Scientists are trying to develop a vaccine against the 2019-nCoV virus, and WHO is helping them. According to the Nature magazine, in April 2020, more than 90 vaccines against SARS-CoV-2 were in the development of a number of pharmaceutical companies (for example, Moderna, Pfizer, Johnson & Johnson, GlaxoSmithKline) and research groups at universities around the world. Researchers tested various technologies, some of which had not previously been used in licensed vaccines. In this paper, we will try to outline some trends in the fight against the pandemic within the countries of the Iberian Peninsula, special attention will be paid to information coverage of this process and misinformation (fake news phenomenon)
This study considers the influence of structutal change to aggregate labour productivity growth of the Russian economy. The term “structural change” refers to labour reallocation both between industries and between formal and informal segments within an industry. Using Russia KLEMS and official Rosstat data we decompose aggregate labour productivity growth into intra-industry (within) and between industry effects with four alternative methods of the shift share analysis. All methods provide consistent results and demonstrate that total labour reallocation has been growth enhancing though the informality expansion has had the negative effect. As our study suggests, it is caused by growing variation in productivity levels across industries.
On April 21, 2020, the Presidium of the Supreme Court of the Russian Federation issued an “Overview of selected issues of judicial practice, related to the application of legislation and measures to stop the spread of the coronavirus infection (COVID-19) on the territory of the Russian Federation No. 1” (the “Overview”).
This Overview sets out a number of important clarifications on the practical application of recent legislative developments as well as recent COVID-19 related measures to dispute resolution, contract performance, creditors’ rights, the imposition of criminal liability for spreading fake news on COVID-19 and on administrative liability for the violation of sanitary rules and protective measures. We set forth herein a number of clarifications affecting contract performance and dispute resolution.
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.