The economy of Kazakhstan is the first economy in Central Asia and the second among Eurasian Economic Union (EAEU) countries after Russia. On rates of hydrocarbon raw materials extraction Kazakhstan is included into first ten countries of the world. Kazakhstani economy is based on heavy industry, ferrous and non-ferrous metals, and oil and gas. And it allows Kazakhstan is being on the road of economic growth. With economic growth, the energy production and consumption are also increasing rapidly, resulting first of all, on harmful carbon emissions. Thus, the purpose of this research is to carry out a comparative assessment in the energy sector development and to submit forecast of its demand and its environmental impact in terms of Kazakhstani economic growth up to 2040. First scenario (base case) assumes conventional development pattern together with neither significant changes in the patterns of energy supply and demand nor extensively changed policies and measures. The second one (Mitigation) assumes a technological improvement, regulation and industrial development policies and additional policies which have been designed to promote energy efficiency and reduce emissions across the economy. The simulations are applied until the year 2040, while 2015 is set as the base year. The findings suggest in both scenarios Kazakhstan will continue to pursue its economic development driving energy demand and carbon emissions will also raise. However, under Mitigation Scenario, emission intensity will be lower insignificantly.
This study was aimed to investigate the advantages and disadvantages of the e-learning system and distinguish the concepts of e-learning and distance education. The study population included 40 managers from five contact centers, 20 of which comprised a control group that did not undergo specialized training. The companies under consideration were representatives of the Russian domestic market and did not operate abroad. As a result of the experiment, the average number of sales of managers who underwent training increased by 20% in relation to the previous period. In the control group, the number of sales remained the same. In this regard, the introduction of gamification in particular, and e-learning as a whole, can be deemed a useful strategy to improve organizational activity not only in big companies but also in SMEs. Moreover, taking into account the lower cost of online education compared to traditional learning courses, web-based training remains an excellent alternative for SMEs since expenses on its implementation will be fully paid off by the received profit.
Currently, there are a great number of platform-projects and frameworks based on blockchain technology. Consequently, it is necessary to define the most relevant blockchain platforms and analyze them taking into consideration a variety of features. Also, there is a need to investigate the logistics growth and the price of Bitcoin on the Binance cryptocurrency exchange. The authors have examined modern technologies used by manufacturing companies in the field of fintech in the context of the 2019-2024 period. The results show that sensors and automatic identification take the leading position both at present and in 2024. Aartificial intelligence and blockchain are also in demand by manufacturers today, however in the nearest future their ranking positions will increase sixfold from 10% to 60%. In the current paper the authors review the largest companies that effectively use blockchain technology in their businesses. The conducted survey shows that 18% of companies use blockchain technology based on Bitcoin. The authors have analysed a number of Bitcoin transactions for the period from January 2017 to February 2021 and concluded that the COVID-19 pandemic has had a favourable effect on the indicator data. A maximum number of transactions equal to 10.15 million was carried out in July 2020. Using the method of the Ordinary Least Squares (OLS) and statistical estimation methods the authors have revealed an underestimation of the equilibrium state of the empirical distribution of price data and the volume of daily trading of Bitcoin on the Binance cryptocurrency exchange through the channel of the right-hand confidence interval. The blockchain technology based on Bitcoin has positively reacted to the macroeconomic factors such as the COVID-19 pandemics and further growth in Bitcoin transactions is expected. With the help of economic modelling, the authors have defined the predictable volume and the price of Bitcoin on the Binance cryptocurrency exchange.
The purpose of the study is to develop and test the original model which illustrates the development of personality in the information society. The study involved two Russian universities, higher educational institutions of the Arab Emirates and Kazakhstan. A total of 400 students participated in the research. The experiment consisted of three stages: introductory, experimental, and final. At the introductory stage of the study, the influences of the information society on the development of human personal qualities were analyzed. At the experimental stage, the original model which illustrates the development of personality in the information society was developed and implemented. At the final stage, the students were surveyed in accordance with the original methodology for the use of the capabilities and resources of the information society for personality development. After the implementation of the model, the number of students using the capabilities of the information society for personal development, the development of professional skills, and maintaining and strengthening health increased by 18.5%, 18.7%, and 10%, respectively. The practical value of the scientific research results relates to the possibility of using the questionnaires and models of personality development in the context of the information society in the higher education system of Russia, the Arab Emirates, Kazakhstan, and other countries. The model described in the study is relevant in the context of the transfer of the educational process in higher education to a distance format and the growing social isolation of an individual caused by the coronavirus pandemic.
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