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The problems of environmental pollution in the conditions of high dust content in the air during the development of coal mines in the territory of the Czech Republic are considered. A mechanism for making managerial decisions was developed using an integrated approach using the new technological process Nastup Tušimice (DNT) aimed at eliminating pollutant emissions and managing workers in dusty conditions in mining operations. The recommendations of active and passive measures aimed at reducing dustiness in the process of coal mining have also been developed.

This write up is further to and in continuation of previous article “An inquiry on social issues, Part 1”. We are aware that we all face various types of social issues like corruption, terrorism, drug addiction, child labour, prostitution and human trafficking etc. Till date we fight against them but we could not surmount them. On the contrarily, some of them have given such impact on us as if they are impossible to curb. We have already discussed that following seven reasons are responsible for the subject social issues. For the sake of simplicity, I reproduce all the seven reasons here bellow to make it easy for the readers of this Part 2.

The price of oil is one of the important macroeconomic indicators because of the extreme importance of supplying oil to different countries of the world to meet their energy needs. As Nigeria’s economy depends on oil prices, the country remains vulnerable to fluctuations in world oil prices. During periods of rising oil prices caused by macroeconomic and political conditions in the international market, the state usually has a positive trade balance, there is an increase in foreign exchange reserves and the revaluation of the national currency. The purpose of the article is to evaluate the relationship between an oil price change and Nigeria’s economic growth rate using regression analysis. The source of statistical information is data from the National Bureau of Statistics, the Nigerian National Petroleum Corporation, and the Nigerian Energy Commission. By checking the time series for steady-state using the advanced Dickie-Fuller test, a regression equation is constructed where the dependent variable is represented as the price of oil and the independent variables are key macroeconomic indicators. The econometric model constructed is adequate because the determination coefficient and the adjusted determination coefficient are 0.97 and 0.96 respectively. The Durbin-Watson statistic in the model is 1.98, meaning the model is reliable. Oil price fluctuations have been found to be related to investment, economic growth, and exchange rates, as well as to inflation. The paper argues that the use of the shock of oil prices should be supported, as it promotes economic growth and is not inflationary. Therefore, the authors believe that the government, which is the main beneficiary of cash, should also implement strategies that counterbalance the propensity for the economic downturn. Based on the analysis, a set of priority measures was proposed: enhancing financial liberalization, combating corruption, transparency of government activities, creating an open currency market, and developing non-inflationary monetary and fiscal strategies. Keywords: oil price, macroeconomic variables, energy needs, Organization of Petroleum Exporting Countries, Dickie-Fuller Extended Test, Petroleum Exporters.

The relevance of the analysis of Sustainable Development Goals is based on the 2030 Agenda for Sustainable Development. The purpose of the study is to create a model of management/regulation of the quality of education and scientific research systems based on Sustainable Development Goals. The data of the ratings that reflect certain tasks of the Sustainable Development Goals, including those related to educational and scientific activities, are analyzed. The methodology of calculating the index of the success of realization of separate purposes of sustainable development is used. Bibliometric analysis as a research tool is used to create a quality of education management model. The example of the roadmap for achieving SDGs within the relationship chain “quality of education and science + partnership and networks–innovation–socio-economic impact–sustainable development goals” is provided. The suggested methodology for determining the index of success in achieving Sustainable Development Goals includes managing education systems, implementing scientific research, and managing/regulating the economy on micro-(university), meso-(regional), and macro-(national) levels. The tool in this case is a strategy for achieving KPIs, which can be fundamentally implemented in the form of a roadmap, with detailing of its elements using other tools. The “management/regulation” stage of the process of achieving Sustainable Development Goals is concretized by a mind map.

Utilization of landfill gas for electricity generation should be an attractive option for Ukraine in light of the country’s rapidly growing municipal solid waste problem, the influx of intermittent renewable electricity into the national grid, and renewable energy adoption commitments. However, the deployment of landfill gas power plants has been slow vis-à-vis other alternative energy technologies despite the existing government incentives. This article aims to help understanding this trend by investigating the economic feasibility of landfill gas power plants. The research focuses on determining the Levelized Cost of Electricity of these electricity generation facilities and comparing it to the feed-in tariff available to landfill gas electricity producers. The results show making an investment into a landfill gas-fired power plant is an appealing strategy due to a potential high and quick return on investment at 5.1 years. This leads to the ultimate conclusion that economic feasibility is not a cause for the slow adoption of landfill gas as a source of renewable electricity generation in Ukraine. In addition, the article identifies several potential barriers to landfill gas electricity generation deployment to be investigated in future research.

Innovation is the engine and accelerator that drives high-quality economic and enterprise development. In recent years, the output of scientific and technological innovation in China has been high, but the phenomenon of low efficiency and low quality of innovation occurs frequently. In this study, first, technological innovation efficiency (TIE) was measured. Then, a dynamic evaluation and analysis of spatial-temporal characteristics of efficiency were performed. Lastly, the driving factors of innovation efficiency were explored. TIE was calculated dynamically in 30 provinces of China from 2011 to 2019 based on the improved super-efficiency SBM-DEA model. Then, the kernel density estimation method was adopted to analyse the spatial-temporal differentiation characteristics and dynamic evolution process of provincial efficiency. The findings confirm that from 2011 to 2019, the top five provinces for TIE in China were Beijing (1.0), Shanghai (0.96), Hainan (0.96), Jilin (0.94) and Tianjin (0.91). The provinces with lowest average efficiency were Qinghai (0.77), Ningxia (0.73) and Inner Mongolia (0.73). The significant differences in the level of technological innovation in different regions were caused by the long-term and in-depth implementation of the government’s strategy of revitalising science and driving innovation in parts of areas. The findings of kernel function confirm that the TIE in most parts of China was gradually polarised. Furthermore, the results show that for every 1 unit of government R&D funding support, the average marginal utility of the expected TIE will reach 0.192, which is more significant in the central and western regions. On this basis, combined with environmental factors of innovation market, infrastructure, financing and enterprise innovation potential, the article also extracts the driving factors that affect the differences in provincial efficiency. The findings provide a reference for guiding provinces to carry out innovation activities independently and improve innovation quality and efficiency.

Every day 80,000 weather balloons are launched to the Earth’s upper atmosphere with meteorology payloads to provide accurate meteorological data. Meteorological data could be used for airport stations and weather stations. Meanwhile, there are many remote sensing satellites above the Earth’s atmosphere, but balloons are still essential due to increased weather prediction accuracy. Many balloons launch into the atmosphere daily, but it would be a one trip tripe because this balloon goes to the atmosphere then transmits the meteorological data to the ground segment, and that is all no one looks to recycle it, on the other hand, if the balloon could be recycled there would be many financial benefits. This project presents a high altitude meteorological balloon-Cube relative to measuring atmosphere humidity, temperature, air pressure, and a photography payload for surface imaging that ascended up to 20Km altitude Cube reach this altitude will eject box on the ground. The telemetry data are transmitted to the ground station through two communication applications, first using a LoRa based transceiver at which it receives a command from the LoRa ground station and the second one, and payload transmits the data by an SMS in 5min after it lands on the ground. Therefore, it could be recycled. This paper presents a Cube-Balloon fabrication and flight test information to acknowledge this Cube’s feasibility for real meteorological projects.