E-mail: yanova.ea@gmail.com
Abstract
The authors of the article consider the features of the functioning of the educational technologies market. The analysis of the investment attractiveness of projects in the market of digital educational solutions is carried out. The main focus of the article is on the Russian system of higher education, since it is the higher educational institutions that today become not only the drivers of the country's scientific activity, but also the center for the formation of competencies in the field of innovative entrepreneurship among students. This vector of development of Russian higher education leads to the need for constant improvement of the activities of organizations that are forced to restructure their business processes and offer new educational products with the maximum degree of practical orientation. This is the only way higher education institutions can maintain their competitiveness both nationally and internationally. The article evaluates this trend, and also provides the author's approach to understanding the conditions and principles of the domestic EdTech market, which includes the classification of the main market players and the definition of the sector itself, which occupies a unique position at the intersection of science and business.References:
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Abstract
Authors explore results of realization of governmental politics of the Russian Federation in the stimulation development and integration of innovations area in the period of 2010-2019 as in general and in the health sphere especially. It is established that systematic increasing of budget on the scientific researches and designing even if infrastructure has already developed don’t allow to reach comparable level of innovative and publishing activity in comparison to the countries where the main part of the budget on the scientific researches and designing is business money. The reason is the low level of relevance in scientific researches and designing and also businesses are not interested in developing their results and introduction into their own production. Authors add a recommendation of modernization of the system by creating grants through strengthening public-private partnership at the stage of formulating tasks for grants.
References:
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Abstract
This short literature review’s goal is to examine available papers regarding the study of Russian Rouble determinants. For purpose of analysis, 35 articles were studied among which 22 were selected, for a total of 414 pages shelled. This work analyzes most recent empirical articles, in order to identify factors responsible for the Russian currency fluctuations. Different models will be compared to learn if some are more effective than others, from basic Linear regression to Structural vector autoregressive, through Ordinary least squares or Vector error correction models. Moreover, a very special and particular attention will be paid to variables used. Which combinations of variables are used to study factors influencing the Russian currency? While it seems vital to include oil prices, interest rate, and consumer price index, is it important to have them all together in the same model? Are results among papers similar? In addition, would it be necessary to add variables such as GDP, gold price, gas price, M2 aggregate or sanctions? However, this paper will compare data from each model and try to find out if there is one best way to study the Russian currency determinants.References:
1.SamotesovA., Strelkovskaya A., Kazachkova D.The History of the Ruble Origin. ББК 72 П78. 2018. p. 44.References:
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References:
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Abstract
Choosing the right strategy for further technological development and priority market segments are an important aspect for companies developing in the high-tech process market. The development of innovative is impossible without the information exchange and cooperation between the countries. Most of the companies in this market have limited resources. This requires a high rate of return on investment and appropriate protection. It is necessary to estimate the current level and to find out what contributes to the accumulation of knowledge and scientific information to reach the next stage of development. Such an assessment can be made on the basis of the collected data. Statistical indicators qualitatively and quantitatively characterize additive production. The article provides an analysis of current trends and statistical indicators that characterize international cooperation in the field of innovative processes, including additive technologies. The main channels of the transfer of these technologies are listed, and the structural associations responsible for the development and dissemination of knowledge are indicated. The dynamics of changes in the volume of state budget allocations for research and development work per scientist for leading European countries is analyzed. The dependence of the increase in the publication activity on the change in the ratio of the number of researchers per million people of the population for different countries is demonstrated. The leading countries in generating revenue from trade in equipment and technologies in the field of additive manufacturing and a country having the largest number of the patents in this field are identified.
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E-mail: aa.yacyk@customs-academy.ru
References
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Abstract
The investigation was aimed at identifying indicators of the Covid-19 pandemic impact on the sphere of physical culture and sports in a heterogeneous array of statistical indicators. The authors used official governmental statistics and Internet statistics reflecting thematic online activity of the population and various aspects of the state of organizations operating in the field of physical culture and sports. Despite of a significant reduction in cash receipts from the services provided in this area, specialized organizations are overcoming the consequences of the pandemic. New forms of independent and online physical education and sports, which became widespread during the strict quarantine restrictions, remain popular among the population. Quantitative evidence of that statement was worked out: the values of statistical indicators of consumption by the population of physical culture and sports services, demography of organizations operating in the field of sports, by the fall of 2020, began to return to pre-crisis values. Indicators of the demand for physical culture and sports services in online formats included attendance of thematic sites and public pages in social networks, as well as the number of thematic search queries. It was found that such an indicator as the number of visits to the online training site continued to increase even after the quarantine restrictions were lifted. One of the directions of scientific research in that area can be the development of methods for collecting, aggregating and data mining, allowing to assess the degree of adaptation of physical culture and sports organizations to the conditions of restrictive measures by using the capabilities of the digital economy.
Keywords: pandemic Covid-19, services of physical culture and mass sports, online activity of the population
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